Items where Subject is "Q Science (General)"

Library of Congress subjects (102130) Q Science (4994) Q Science (General) (822)
Number of items at this level: 822.
Accounting
  • Power, Michael (2013). Book review: standards in a non-standard world. Science as Culture, 23(1), 113-118. https://doi.org/10.1080/09505431.2013.825238
  • Anthropology
  • Long, Nicholas J., Hunter, Amanda, Appleton, Nayantara Sheoran, Graham Davies, Sharyn, Deckert, Antje, Sterling, Rogena, Tunufa’i, Laumua, Aikman, Pounamu Jade, Fehoko, Edmond & Holroyd, Eleanor et al (2023). The research imagination during COVID-19: rethinking norms of group size and authorship in anthropological and anthropology-adjacent collaborations. Anthropological Forum, 32(4), 351 - 370. https://doi.org/10.1080/00664677.2023.2169250 picture_as_pdf
  • Ongaro, Giulio, Kaptchuk, Ted. J. (2018). Symptom perception, placebo effects, and the Bayesian brain. Pain, https://doi.org/10.1097/j.pain.0000000000001367 picture_as_pdf
  • Weszkalnys, Gisa (2009). Príncipe eclipsed: commemorating the confirmation of Einstein's theory of general relativity. Anthropology Today, 25(5), 8-12. https://doi.org/10.1111/j.1467-8322.2009.00686.x
  • Weszkalnys, Gisa, Richardson, Tanya (2014). Resource materialities: new anthropological perspectives on natural resource environments: introduction. Anthropological Quarterly, 87(1), 5-30.
  • Asia Centre
  • Smith, Leonard A., Stern, Nicholas (2011). Uncertainty in science and its role in climate policy. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 369(1956), 4818-4841. https://doi.org/10.1098/rsta.2011.0149
  • Stern, Nicholas (2006). The Stern Review report on the economics of climate change. Cambridge University Press.
  • Care Policy and Evaluation Centre
  • Trigg, Richard, Jones, Roy W., Knapp, Martin, King, Derek, Lacey, Loretto A. (2015). The relationship between changes in quality of life outcomes and progression of Alzheimer's disease: results from the Dependence in AD in England 2 longitudinal study. International Journal of Geriatric Psychiatry, 30(4), 400-408. https://doi.org/10.1002/gps.4150
  • Centre for Analysis of Risk & Regulation
  • Bauer, Martin W., Gaskell, George (2002). Pesquisa qualitativa con texto, imagem e som: um manual prático. Editora Vozes.
  • Bauer, Martin W., Gaskell, George, Allum, Nick, Durant, John, Allansdottir, Agnes, Bonfadelli, Heinz, Boy, Daniel, de Cheveigné, Suzanne, Fjaestad, Björn & Guttelin, Jan M. et al (2000). Biotechnology and the European public. Nature Biotechnology, 18(9), 935-938. https://doi.org/10.1038/79403
  • Gaskell, George (2000). Agricultural biotechnology and public attitudes in the European Union. AgBioForum, 3(2-3), 87-96.
  • Gaskell, George (2004). Science policy and society: the British debate over GM agriculture. Current Opinion in Biotechnology, 15(3), 241-245. https://doi.org/10.1016/j.copbio.2004.04.008
  • Gaskell, George (2003). Seeds of discontent. Risk & Regulation, (6), p. 6.
  • Gaskell, George, Allum, Nick (2001). Sound science, problematic publics? Contrasting representations of risk and uncertainty. Notizie di Politeia, 17(63), 13-25.
  • Gaskell, George, Allum, Nick, Bauer, Martin, Jackson, Jonathan, Howard, Susan, Lindsey, Nicola (2003). Climate change for biotechnology?: UK public opinion 1991-2002. AgBioForum, 6(1-2), 55-67.
  • Gaskell, George, Einsiedel, Edna, Hallman, William, Priest, Susanna Hornig, Jackson, Jonathan, Olsthoorn, Johannus (2005). Social values and the governance of science. Science, 310(5756), 1908-1909. https://doi.org/10.1126/science.1119444
  • Irwin, Alan, Rothstein, Henry (2003). Regulatory science in an international regime: an institutional analysis. In den Hond, F., van Straalen, N. M., Groenewegen, P. (Eds.), Pesticides: Problems, Improvements, Alternatives (pp. 77-86). Wiley-Blackwell.
  • Kronberger, Nicole, Dahinden, Urs, Allansdottir, Agnes, Seger, Nina, Pfenning, Uwe, Gaskell, George, Allum, Nick, Rusanen, Timo, Montali, Lorenzo & Wagner, Wolfgang et al (2001). "The train departed without us": public perceptions of biotechnology in ten European countries. Notizie di Politeia, 17(63), 26-36.
  • Lawless, Christopher J (2010). Helping with inquiries or helping with profits? the trials and tribulations of a technology of forensic reasoning. Social Studies of Science, 40(5), 731-755. https://doi.org/10.1177/0306312710378787
  • Lezaun, Javier (2006). Creating a new object of Government: making genetically modified organisms traceable. Social Studies of Science, 36(4), 433-531. https://doi.org/10.1177/0306312706059461
  • Matus, Kira J. M., Hutchison, James E., Peoples, Robert, Rung, Skip, Tanguay, Robert (2011). Green nanotechnology challenges and opportunities. American Chemical Society.
  • Power, Michael (2000). Accountancy. In Hessenbruch, Arne (Ed.), Reader's Guide to the History of Science . Routledge.
  • Power, Michael (2013). Book review: standards in a non-standard world. Science as Culture, 23(1), 113-118. https://doi.org/10.1080/09505431.2013.825238
  • Rothstein, Henry, Irwin, Alan (2002). Reconstructing the local and global: Europeanisation, regulation and changing knowledge relations. In Lawton-Smith, Helen (Ed.), The Regulation of Science and Technology (pp. 161-178). Palgrave Macmillan.
  • Centre for Analysis of Time Series
  • Beven, Keith (2011). I believe in climate change but how precautionary do we need to be in planning for the future? Hydrological Processes, 25(9), 1517-1520. https://doi.org/10.1002/hyp.7939
  • Bröcker, Jochen, Smith, Leonard A. (2007). Increasing the reliability of reliability diagrams. Weather and Forecasting, 22(3), 651-661. https://doi.org/10.1175/WAF993.1
  • Bröcker, Jochen, Smith, Leonard A. (2007). Scoring probabilistic forecasts: the importance of being proper. Weather and Forecasting, 22(2), 382-388. https://doi.org/10.1175/WAF966.1
  • Chapman, S. C., McIntosh, S. W., Leamon, R. J., Watkins, N. W. (2020). Quantifying the solar cycle modulation of extreme space weather. Geophysical Research Letters, 47(11). https://doi.org/10.1029/2020GL087795 picture_as_pdf
  • Chapman, S. C., Watkins, Nicholas W., Tindale, E. (2018). Reproducible aspects of the climate of space weather over the last five solar cycles. Space Weather, 16(8), 1128-1142. https://doi.org/10.1029/2018SW001884
  • Du, Hailiang, Smith, Leonard A. (2014). Pseudo-orbit data assimilation. part I: the perfect model scenario. Journal of the Atmospheric Sciences, 71(2), 469-482. https://doi.org/10.1175/JAS-D-13-032.1
  • Du, Hailiang, Smith, Leonard A. (2014). Pseudo-orbit data assimilation. part II: the perfect model scenario. Journal of the Atmospheric Sciences, 71(2), 483-495. https://doi.org/10.1175/JAS-D-13-033.1
  • Ellepola, Jerome, Thijssen, Nort, Grievink, Johan, Baak, Govert, Avhale, Abhijeet, van Schijndel, Jan (2012). Development of a synthesis tool for gas-to-liquid complexes. Computers and Chemical Engineering, 42, 2-14. https://doi.org/10.1016/j.compchemeng.2011.12.005
  • Franzke, Christian L. E., Osprey, Scott M., Davini, Paolo, Watkins, Nicholas W. (2015). A dynamical systems explanation of the Hurst effect and atmospheric low-frequency variability. Scientific Reports, 5(9068). https://doi.org/10.1038/srep09068
  • Frigg, Roman (2009). Book review: a companionable coverage of the philosophy of science. Metascience, 18(1), 139-142. https://doi.org/10.1007/s11016-009-9244-3
  • Frigg, Roman (2002). Book review: ubiquity: the science of history ... or why the world is simpler than we think. British Journal for the Philosophy of Science, 53(4), 585-591. https://doi.org/10.1093/bjps/53.4.585
  • Frigg, Roman (2014). Los modelos y la ficción. In Lorenzano, Pablo (Ed.), Modelos y Teorías En Biología . Prometeo.
  • Frigg, Roman (2002). Models and representation: why structures are not enough. (Measurement in physics and economics discussion papers 25/02). London School of Economics and Political Science.
  • Frigg, Roman, Berkovitz, Joseph (2001). Book review: explaining chaos. British Journal for the Philosophy of Science, 52(1), 201-205. https://doi.org/10.1093/bjps/52.1.201
  • Frigg, Roman, Bradley, Seamus, Machete, Reason L., Smith, Leonard A. (2013). Probabilistic forecasting: why model imperfection is a poison pill. In Andersen, Hanne, Dieks, Dennis, Gonzalez, Wenceslao, Ubel, Thomas, Wheeler, Gregory (Eds.), New Challenges to Philosophy of Science (pp. 479-492). Springer Berlin / Heidelberg.
  • Frigg, Roman, Votsis, Ioannis (2011). Everything you always wanted to know about structural realism but were afraid to ask. European Journal for Philosophy of Science, 1(2), 227-276. https://doi.org/10.1007/s13194-011-0025-7
  • Frigg, Roman, Werndl, Charlotte (2012). Demystifying typicality. Philosophy of Science, 79(5), 917-929. https://doi.org/10.1086/668043
  • Gibbs, Peter, Hanlon, Michael, Hardaker, Paul, Hawkins, Ed, MacDonald, Averil, Maskell, Kathy, Mayfield, Heather, Mclean, Angela, Morris, Elizabeth & Mylne, Ken et al (2013). Making sense of uncertainty: why uncertainty is part of science. Sense About Science.
  • Graves, Timothy, Gramacy, Robert, Watkins, Nicholas W., Franzke, Christian (2017). A brief history of long memory: Hurst, Mandelbrot and the road to ARFIMA, 1951–1980. Entropy, 19(9), p. 437. https://doi.org/10.3390/e19090437
  • Hnat, B., Chapman, S. C., Watkins, N. W. (2021). Magnetic topology of actively evolving and passively convecting structures in the turbulent solar wind. Physical Review Letters, 126(12). https://doi.org/10.1103/PhysRevLett.126.125101 picture_as_pdf
  • Lopez, Ana, Suckling, Emma B., Smith, Leonard A. (2014). Robustness of pattern scaled climate change scenarios for adaptation decision support. Climatic Change, 122(4), 555-566. https://doi.org/10.1007/s10584-013-1022-y
  • Machete, Reason L. (2013). Model imperfection and predicting predictability. International Journal of Bifurcation and Chaos, 23(08), 1330027-1-1330027-17. https://doi.org/10.1142/S0218127413300279
  • Machete, Reason L. (2013). Contrasting probabilistic scoring rules. Journal of Statistical Planning and Inference, 143(10), 1781-1790. https://doi.org/10.1016/j.jspi.2013.05.012
  • McSharry, P.E., Smith, Leonard A., Tarassenko, L. (2003). Comparison of predictability of epileptic seizures by a linear and a nonlinear method. IEEE Transactions on Biomedical Engineering, 50(5), 628-633. https://doi.org/10.1109/TBME.2003.810688
  • McSharry, Patrick E., Ellepola, Jerome H., von Hardenberg, Jost, Smith, Leonard A., Kenning, David B. R., Judd, Kevin (2002). Spatio-temporal analysis of nucleate pool boiling: identification of nucleation sites using non-orthogonal empirical functions. International Journal of Heat and Mass Transfer, 45(2), 237-253. https://doi.org/10.1016/S0017-9310(01)00152-1
  • Mellor, Florence K. (1984). Particulate dispersal in a time dependent flow [in Dynamic differentiation, summer study program in Geophysical Fluid Dynamics, Woods Hole Oceanographic Institution]. (WHOI technical report 84-44). Woods Hole Oceanographic Institution.
  • Orrell, David, Smith, Leonard A. (2003). Visualising bifurcations in high dimensional systems: the spectral bifurcation diagram. International Journal of Bifurcation and Chaos, 13(10), 3015-3027. https://doi.org/10.1142/S0218127403008387
  • Ranger, Nicola, Niehörster, Falk (2012). Deep uncertainty in long-term hurricane risk: scenario generation and implications for future climate experiments. Global Environmental Change, 22(3), 703-712. https://doi.org/10.1016/j.gloenvcha.2012.03.009
  • Roulston, M.S., Smith, Leonard A. (2004). The boy who cried wolf revisited: the impact of false alarm intolerance on cost-loss scenarios. Weather and Forecasting, 19(2), 391-397. https://doi.org/10.1175/1520-0434(2004)019<0391:TBWCWR>2.0.CO;2
  • Roulston, Mark S., Smith, Leonard A. (2002). Evaluating probabilistic forecasts using information theory. Monthly Weather Review, 130(6), 1653-1660. https://doi.org/10.1175/1520-0493(2002)130<1653:EPFUIT>2.0.CO;2
  • Smith, Leonard A. (1991). Applied chaos: quantifying complex systems. In Atmanspacher, H. (Ed.), Information Dynamics (pp. 97-102). Plenum Press.
  • Smith, Leonard A. (2007). Chaos: a very short introduction. Oxford University Press.
  • Smith, Leonard A. (1993). Does a meeting in Santa Fe imply chaos? In Weigend, Andreas S., Gershenfeld, Neil A. (Eds.), Time Series Prediction:Forecasting the Future and Understanding the Past: Proceedings of the Nato Advanced Research Workshop on (pp. 323-344). Addison-Wesley.
  • Smith, Leonard A. (2007). Letters to the editor: unproven theories have value.
  • Smith, Leonard A. (1990). Quantifying chaos through predicitve flows and maps: computing unstable periodic orbits. In Abraham, Neal B., Albano, Alfonso (Eds.), Measures of Complexity and Chaos (pp. 359-366). Plenum Press.
  • Smith, Leonard A. (2002). What might we learn from climate forecasts? Proceedings of the National Academy of Sciences of the United States of America, 99(Suppl.), 2487-2492. https://doi.org/10.1073/pnas.012580599
  • Smith, Leonard A. (1995). A personal overview of nonlinear time-series analysis from a chaos perspective - comments. Scandinavian Journal of Statistics, 22(4), 435-437.
  • Smith, Leonard A., Petersen, Arthur (2014). Variations on reliability: connecting climate predictions to climate policy. In Boumans, Marcel, Petersen, Arthur, Hon, Giora (Eds.), Error and uncertainty in scientific practice (pp. 137-156). Pickering & Chatto.
  • Smith, Leonard A., Roulston, Mark S, von Hardenberg, Jost (2001). End to end ensemble forecasting: towards evaluating the economic value of an ensemble prediction system. (Technical memorandum 336). European Centre for Medium-Range Weather Forecasts.
  • Smith, Leonard A., Stern, Nicholas (2011). Uncertainty in science and its role in climate policy. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 369(1956), 4818-4841. https://doi.org/10.1098/rsta.2011.0149
  • Theocharis, Zoe, Smith, Leonard A., Harvey, Nigel (2018). The influence of graphical format on judgmental forecasting accuracy: lines versus points. Futures and Foresight Science, https://doi.org/10.1002/ffo2.7 picture_as_pdf
  • Thieberger, R., Spiegel, E. A., Smith, Leonard A. (1990). The dimensions of cosmic fractals. In Krasner, Saul (Ed.), The Ubiquity of Chaos (pp. 197-217.). American Association for the Advancement of Science.
  • Volodina, Victoria, Wheatcroft, Edward, Wynn, Henry (2022). Comparing district heating options under uncertainty using stochastic ordering. Sustainable Energy, Grids and Networks, 30, https://doi.org/10.1016/j.segan.2022.100634 picture_as_pdf
  • Watkins, Nicholas W., Pruessner, Gunnar, Chapman, Sandra C., Crosby, Norma B., Jensen, Henrik J. (2016). 25 years of self-organized criticality: concepts and controversies. Space Science Reviews, 198(1), 3-44. https://doi.org/10.1007/s11214-015-0155-x
  • Weisheimer, Antje, Smith, Leonard A., Judd, Kevin (2005). A new view of forecast skill: bounding boxes from the DEMETER ensemble seasonal forecasts. Tellus Series A: Dynamic Meteorology and Oceanography, 57(3), 265-279. https://doi.org/10.1111/j.1600-0870.2005.00106.x
  • Ziehmann-Schlumbohm, C., Fraedrich, K., Smith, Leonard A. (1995). Ein internes Vorhersagbarkeitsexperiment im Lorenz-Modell. Meteorologische Zeitschrift, 4(1), 16-21.
  • Centre for Economic Performance
  • Adda, Jérôme, Cornaglia, Francesca (2009). The effect of bans and taxes on passive smoking. (CEP Discussion Paper 950). London School of Economics and Political Science. Centre for Economic Performance.
  • Assary, Elham, Zavos, Helena M.S., Krapohl, Eva, Keers, Robert, Pluess, Michael (2021). Genetic architecture of Environmental Sensitivity reflects multiple heritable components: a twin study with adolescents. Molecular Psychiatry, 26(9), 4896 - 4904. https://doi.org/10.1038/s41380-020-0783-8 picture_as_pdf
  • Bloom, Nicholas, Jones, Charles I, Reenen, John Van, Webb, Michael (2017). Are ideas getting harder to find? (CEP Discussion Papers CEPDP1496). London School of Economics and Political Science. Centre for Economic Performance.
  • Freeman, Richard B. (2003-02-13 - 2003-02-18) Rising inequality in science careers [Paper]. AAAS Annual Meeting: Is Science a Deteriorating Wage of Life: Workforce Trends, Denver, United States, USA.
  • Freeman, Richard B. (2004). Stimulating careers in science and engineering. Science's Next Wave, May 7,
  • Freeman, Richard B. (2002). Thanks for the great postdoc bargain. Science's Next Wave,
  • Grogger, Jeffrey, Ivandic, Ria, Kirchmaier, Thomas (2020). Comparing conventional and machine-learning approaches to risk assessment in domestic abuse cases. (CEP Discussion Paper 1676). London School of Economics and Political Science. Centre for Economic Performance. picture_as_pdf
  • Iaria, Alessandro, Schwarz, Carlo, Waldinger, Fabian (2017). Frontier knowledge and scientific production: evidence from the collapse of international science. (CEP Discussion Papers CEPDP1506). London School of Economics and Political Science. Centre for Economic Performance.
  • Kühn, Simone, Düzel, Sandra, Eibich, Peter, Krekel, Christian, Wüstemann, Henry, Kolbe, Jens, Martensson, Johan, Goebel, Jan, Gallinat, Jürgen & Wagner, Gert G. et al (2017). In search of features that constitute an “enriched environment” in humans: Associations between geographical properties and brain structure. Scientific Reports, https://doi.org/10.1038/s41598-017-12046-7
  • Overman, Henry G. (2011). Science parks.
  • Rietveld, Cornelius A., Cesarini, David, Benjamin, Daniel J., Koellinger, Philipp D., De Neve, Jan-Emmanuel, Tiemeier, Henning, Johannesson, Magnus, Magnusson, Patrick K. E., Pedersen, Nancy L. & Krueger, Robert F. et al (2013). Molecular genetics and subjective well-being. Proceedings of the National Academy of Sciences of the United States of America, 110(24), 9692-9697. https://doi.org/10.1073/pnas.1222171110
  • Van Reenen, John, Freeman, Richard B. (2009). What if Congress doubled R&D spending on the physical sciences? (CEP Discussion Papers 931). London School of Economics and Political Science. Centre for Economic Performance.
  • Van Reenen, John, Griffith, Rachel (1995). Promoting R&D through tax incentives: as assessment of the arguments. Science in Parliament, 52(1).
  • Centre for Philosophy of Natural and Social Sciences (CPNSS)
  • Frigg, Roman, Hunter, Matthew (Eds.) (2010). Beyond mimesis and convention: representation in art and science. Springer Berlin / Heidelberg.
  • Barrotta, Pierluigi, Montuschi, Eleonora (2018). The dam project: who are the experts? In Barrotta, Pierluigi, Scarafile, Giovanni (Eds.), Science and Democracy: Controversies and Conflicts (pp. 17-34). John Benjamins Publishing Company.
  • Bartlett, Laura K., Javed, Noman, Bennett, Dmitry, Lane, Peter C. R., Gobet, Fernand (2026). Generating models of attentional cueing and inhibition of return with genetic programming. Cognitive Systems Research, 95, https://doi.org/10.1016/j.cogsys.2025.101420 picture_as_pdf
  • Bartlett, Laura, Pirrone, Angelo, Javed, Noman, Gobet, Fernand (2023). Computational scientific discovery in psychology. Perspectives on Psychological Science, 18(1), 178 - 189. https://doi.org/10.1177/17456916221091833 picture_as_pdf
  • Bradley, Richard (1999). Book review: Roger Backhouse 'explorations in economic methodology: from Lakatos to empirical philosophy of science'. British Journal for the Philosophy of Science, 50(2), 316-318. https://doi.org/10.1093/bjps/50.2.316
  • Bradley, Richard (2002). Les Conditionnels et la Revision des Croyances. In Livet, Pierre (Ed.), Révision des Croyances (pp. 67-82). Hermes Science Publications.
  • Bradley, Richard (1998). A representation theorem for a decision theory with conditionals. Synthese, 116(2), 187-229.
  • Cao, Tian Yu (2018). Scientific realism in the post-Kuhnian times. In Wuppuluri, Shyam, Dorio, Francisco Antonio (Eds.), The Map and the Territory: Exploring the Foundations of Science, Thought and Reality (pp. 101 - 123). Springer Berlin / Heidelberg. picture_as_pdf
  • Caron, Louis-Philippe, Massonet, Francois, Klotzbach, Phillip, Philp, Tom, Stroeve, Julienne (2019). Making seasonal outlooks of Arctic sea ice and Atlantic hurricanes valuable —not just skillful. Bulletin of the American Meteorological Society, 101(1), E36-E42. https://doi.org/10.1175/BAMS-D-18-0314.1 picture_as_pdf
  • Cartwright, Nancy (2000). Against the completability of science. In Wolff, Jonathan, Stone, Martin (Eds.), The Proper Ambition of Science (pp. 209-222). Routledge.
  • Cartwright, Nancy (2001). Reply to Anderson. Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics, 32(3), 495-497. https://doi.org/10.1016/S1355-2198(01)00012-0
  • Cartwright, Nancy (2003). Two theorems on invariance and causality. Philosophy of Science, 70(1), 203-224.
  • Cartwright, Nancy (2001). What is wrong with Bayes nets? The Monist, 84(2), 242-264.
  • Cartwright, Nancy, Cat, Jordi, Fleck, Lola, Uebel, Thomas E. (2008). Otto Neurath: philosophy between science and politics. Cambridge University Press.
  • Cartwright, Nancy, Pemberton, John (2013). Aristotelian powers: without them, what would modern science do? In Greco, John, Groff, Ruth (Eds.), Powers and Capacities in Philosophy: the New Aristotelianism (pp. 93-112). Routledge.
  • Chang, Hasok, Leonelli, Sabina (2005). Infrared metaphysics: radiation and theory-choice. Part 2. Studies in the History and Philosophy of Science: Part A, 36(4), 687-706. https://doi.org/10.1016/j.shpsa.2005.08.018
  • Chang, Hasok, Leonelli, Sabina (2005). Infrared metaphysics: the elusive ontology of radiation. Part 1. Studies in the History and Philosophy of Science: Part A, 36(3), 477-508. https://doi.org/10.1016/j.shpsa.2005.06.010
  • Cronin, H. (2005). The vital statistics. Guardian,
  • Cronin, Helena (2003). Getting human nature right. In Brockman, J (Ed.), The New Humanist: Science at the Edge (pp. 53-65). Barnes & Noble.
  • Crump, Andrew, Browning, Heather, Schnell, Alex, Burn, Charlotte, Birch, Jonathan (2022). Sentience in decapod crustaceans: a general framework and review of the evidence. Animal Sentience, 7, https://doi.org/10.51291/2377-7478.1691 picture_as_pdf
  • Dietrich, Franz, List, Christian (2013). Reasons for (prior) belief in Bayesian epistemology. Synthese, 190(5), 787-808.
  • Dietrich, Franz, List, Christian (2013). Where do preferences come from? International Journal of Game Theory, 42(3), 613 - 637. https://doi.org/10.1007/s00182-012-0333-y
  • Dizadji-Bahmani, Foad, Frigg, Roman, Hartmann, Stephan (2010). Confirmation and reduction: a Bayesian account. Synthese, 179(2), 321-328. https://doi.org/10.1007/s11229-010-9775-6
  • Dizadji-Bahmani, Foad, Frigg, Roman, Hartmann, Stephan (2010). Who’s afraid of Nagelian reduction? Erkenntnis, 73(3), 393-412. https://doi.org/10.1007/s10670-010-9239-x
  • Dougan, Paul, Gobet, Fernand, King, Michael (2012). Modelling systematic communication differences between law and science. In Brooks-Gordon, Belinda, Freeman, Michael (Eds.), Law and Psychology: Current Legal Issues Volume 9 . Oxford University Press. https://doi.org/10.1093/acprof:oso/9780199211395.003.0007
  • Fennell, Damien, Cartwright, Nancy (2010). Does Roush show that evidence should be probable? Synthese, 175(3), 289-310. https://doi.org/10.1007/s11229-009-9510-3
  • Frigg, Roman (2009). Book review: a companionable coverage of the philosophy of science. Metascience, 18(1), 139-142. https://doi.org/10.1007/s11016-009-9244-3
  • Frigg, Roman (2002). Book review: ubiquity: the science of history ... or why the world is simpler than we think. British Journal for the Philosophy of Science, 53(4), 585-591. https://doi.org/10.1093/bjps/53.4.585
  • Frigg, Roman (2008). Chance in Boltzmannian statistical mechanics. Philosophy of Science, 75(5), 670-681. https://doi.org/10.1086/594513
  • Frigg, Roman (2010). Fiction and science. In Woods, John (Ed.), Fictions and Models . Philosophia Verlag.
  • Frigg, Roman (2014). Los modelos y la ficción. In Lorenzano, Pablo (Ed.), Modelos y Teorías En Biología . Prometeo.
  • Frigg, Roman (2010). Models and fiction. Synthese, 172(2), 251-268. https://doi.org/10.1007/s11229-009-9505-0
  • Frigg, Roman (2002). Models and representation: why structures are not enough. (Measurement in physics and economics discussion papers 25/02). London School of Economics and Political Science.
  • Frigg, Roman (2011). Why typicality does not explain the approach to equilibrium. In Suárez, Mauricio (Ed.), Probabilities, Causes and Propensities in Physics (pp. 77-93). Springer Berlin / Heidelberg. https://doi.org/10.1007/978-1-4020-9904-5_4
  • Frigg, Roman (2008). A field guide to recent work on the foundations of statistical mechanics. In Rickles, Dean (Ed.), The Ashgate Companion to Contemporary Philosophy of Physics (pp. 99-196). Ashgate Dartmouth.
  • Frigg, Roman, Berkovitz, Joseph (2001). Book review: explaining chaos. British Journal for the Philosophy of Science, 52(1), 201-205. https://doi.org/10.1093/bjps/52.1.201
  • Frigg, Roman, Bradley, Seamus, Machete, Reason L., Smith, Leonard A. (2013). Probabilistic forecasting: why model imperfection is a poison pill. In Andersen, Hanne, Dieks, Dennis, Gonzalez, Wenceslao, Ubel, Thomas, Wheeler, Gregory (Eds.), New Challenges to Philosophy of Science (pp. 479-492). Springer Berlin / Heidelberg.
  • Frigg, Roman, Hartmann, Stephan, Imbert, Cyrille (2011). Preface: special issue: models and simulations 2. Synthese, 180(1), 1-2. https://doi.org/10.1007/s11229-009-9562-4
  • Frigg, Roman, Nguyen, James (2016). Scientific representation. In Zalta, Edward N. (Ed.), The Stanford Encyclopedia of Philosophy . Metaphysics Research Lab Center for the Study of Language and Information Stanford University.
  • Frigg, Roman, Votsis, Ioannis (2011). Everything you always wanted to know about structural realism but were afraid to ask. European Journal for Philosophy of Science, 1(2), 227-276. https://doi.org/10.1007/s13194-011-0025-7
  • Frigg, Roman, Werndl, Charlotte (2012). Demystifying typicality. Philosophy of Science, 79(5), 917-929. https://doi.org/10.1086/668043
  • Frigg, Roman, Nguyen, James (2016). The fiction view of models reloaded. The Monist, 99(3), 225-242. https://doi.org/10.1093/monist/onw002
  • Guttinger, Stephan (2019). A new account of replication in the experimental life sciences. Philosophy of Science, 86(3), 453-471. https://doi.org/10.1086/703555 picture_as_pdf
  • Gyenis, Z., Rédei, Miklós (2015). Why Bertrand's Paradox is not paradoxical but is felt so. In Maki, U., Ruphy, S., Schurz, G., Votsis, I. (Eds.), Recent Developments in the Philosophy of Science: EPSA13 Helsinki (pp. 265-276). Springer Berlin / Heidelberg.
  • Hoefer, Carl, Krauss, Alexander (2021). Measures of effectiveness in medical research: reporting both absolute and relative measures. Studies in history and philosophy of science, 88, 280 - 283. https://doi.org/10.1016/j.shpsa.2021.06.012 picture_as_pdf
  • Humphrey, Nicholas, Skoyles, John R., Keynes, Roger (2005). Human hand-walkers: five siblings who never stood up. London School of Economics and Political Science. Centre for Philosophy of Natural and Social Science.
  • Javed, Noman, Gobet, Fernand, Lane, Peter (2022). Simplification of genetic programs: a literature survey. Data Mining and Knowledge Discovery, 36(4), 1279 - 1300. https://doi.org/10.1007/s10618-022-00830-7 picture_as_pdf
  • Krauss, Alexander (2021). Assessing the overall validity of randomised controlled trials. International Studies in the Philosophy of Science, 34(3), 159 - 182. https://doi.org/10.1080/02698595.2021.2002676 picture_as_pdf
  • Krauss, Alexander (2024). Debunking revolutionary paradigm shifts: evidence of cumulative scientific progress across science. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 480(2302). https://doi.org/10.1098/rspa.2024.0141 picture_as_pdf
  • Krauss, Alexander, Colombo, Matteo (2020). Explaining public understanding of the concepts of climate change, nutrition, poverty and effective medical drugs: an international experimental survey. PLOS ONE, 15(6). https://doi.org/10.1371/journal.pone.0234036 picture_as_pdf
  • Lane, Peter C. R., Javed, Noman, Bartlett, Laura K., Bennett, Dmitry, Gobet, Fernand (2025). Exploring the diversity of evolved cognitive models with cluster analysis. In Bhateja, Vikrant, Patel, Preeti, Tang, Jinshan (Eds.), Evolution in Computational Intelligence: Proceedings of the 12th International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA 2024) (pp. 51 - 63). Springer. https://doi.org/10.1007/978-981-96-2124-8_5
  • Lane, Peter C.R., Gobet, Fernand (2012). Using chunks to categorise chess positions. In Bramer, Max, Petridis, Miltos (Eds.), Research and Development in Intelligent Systems XXIX: Incorporating Applications and Innovations in Intelligent Systems XX Proceedings of AI-2012, The Thirty-second SGAI International Conference on Innovative Techniques and Applications of Artificial Inte (pp. 93 - 106). Springer Berlin / Heidelberg. https://doi.org/10.1007/978-1-4471-4739-8_7
  • Montuschi, Eleonora (2017). Scientific evidence vs. expert opinion: a false alternative? Notizie di Politeia, 32(126), 60-79.
  • Montuschi, Eleonora (2017). There is “noise,” and noise. Perspectives on Science, 25(2), 204-225. https://doi.org/10.1162/POSC_a_00241
  • Montuschi, Eleonora (2017). Using science, making policy: what should we worry about? European Journal for Philosophy of Science, 7(1), 57-78. https://doi.org/10.1007/s13194-016-0143-3
  • Mosini, Valeria (2003). When chemistry entered the pile. In Bevilacqua, Fabio, Fregonese, Lucio (Eds.), Nuova Voltiana (pp. 117-132). Università di Pavia.
  • Mosini, Valeria (2006). Why the reactivity of the elements is a relational property, and why it matters. In Garola, Claudio, Rossi, Arcangelo, Sozzo, Sandro (Eds.), The Foundations of Quantum Mechanics: Historical Analysis and Open Questions (pp. 260-273). World Scientific (Firm).
  • Mosini, Valeria (2000). A brief history of the theory of resonance and of its interpretation. Studies in History and Philosophy of Modern Physics, 31(4), 569-581. https://doi.org/10.1016/S1355-2198(00)00029-0
  • Musslick, Sebastian, Bartlett, Laura K., Chandramouli, Suyog H., Dubova, Marina, Gobet, Fernand, Griffiths, Thomas L., Hullman, Jessica, King, Ross D., Kutz, J. Nathan & Lucas, Christopher G. et al (2025). Automating the practice of science: opportunities, challenges, and implications. Proceedings of the National Academy of Sciences of the United States of America, 122(5). https://doi.org/10.1073/pnas.2401238121 picture_as_pdf
  • Nax, Heinrich H., Perc, Matjaž, Szolnoki, Attila, Helbing, Dirk (2015). Stability of cooperation under image scoring in group interactions. Scientific Reports, 5, p. 12145. https://doi.org/10.1038/srep12145
  • Pemberton, John (2019). Individuating processes. In Bueno, Otávio, Chen, Ruey-Lin, Fagan, Melinda Bonnie (Eds.), Individuation, process, and scientific practices (pp. 39-62). Oxford University Press. picture_as_pdf
  • Peters, Uwe, Krauss, Alexander, Braganza, Oliver (2022). Generalization bias in science. Cognitive science, 46(9), e13188. https://doi.org/10.1111/cogs.13188 picture_as_pdf
  • Redhead, Michael (2001). Quests of a realist. Metascience, 10(3), 341-347. https://doi.org/10.1007/BF02914824
  • Reiss, Julian (2002). Causal inference in the abstract or seven myths about thought experiments. (Technical report (CPNSS Research Project) CTR 03/03). London School of Economics and Political Science. Centre for Philosophy of Natural and Social Science.
  • Reiss, Julian (2011). Empirical evidence: its nature and sources. In Jarvie, Ian, Zamora Bonilla, Jesus (Eds.), Handbook of the Philosophy of Social Sciences (pp. 551-576). SAGE Publications.
  • Reiss, Julian (2002). Scientific empiricism: a Baconian perspective. (Technical report (CPNSS Research Project) CTR 04/02). London School of Economics and Political Science. Centre for Philosophy of Natural and Social Science.
  • Reiss, Julian (2008). Social capacities. In Bovens, Luc, Hoefer, Carl, Hartmann, Stephan (Eds.), Nancy Cartwright’s Philosophy of Science (pp. 265-288). Routledge.
  • Reiss, Julian (2011). Third time’s a charm: causation, science and Wittgensteinian pluralism. In Russo, Federica, Williamson, J., McKay Illari, Phyllis (Eds.), Causality in the Sciences (pp. 907-927). Oxford University Press.
  • Reiss, Julian (2007). Time series, nonsense correlations and the principle of the common cause. In Russo, Federica, Williamson, Jon (Eds.), Causality and Probability in the Sciences (pp. 179-196). College Publications.
  • Reiss, Julian (2009). Was ware wenn...
  • Reiss, Julian, Teira, David, Bonilla, Jesus (2008). What's new in the philosophy of the social sciences?: guest editors' introduction. Philosophy of the Social Sciences, 38(3), 311-313. https://doi.org/10.1177/0048393108319397
  • Rédei, Miklós (2014). Assessing the status of the common cause principle. In Galavotti, Maria Carla, Dieks, Dennis, Gonzalez, Wenceslao J., Hartmann, Stephan, Uebel, Thomas, Weber, Marcel (Eds.), New Directions in the Philosophy of Science (pp. 433-442). Springer International (Firm). https://doi.org/10.1007/978-3-319-04382-1_29
  • Salis, Fiora (2017). Essay review: Models and exploratory models. Studies in History and Philosophy of Science Part A, 63, 58-61. https://doi.org/10.1016/j.shpsa.2017.04.004
  • Salis, Fiora (2018). Scientific discovery through fictionally modelling reality. Topoi, https://doi.org/10.1007/s11245-018-9582-0
  • Salis, Fiora (2016). The nature of model-world comparisons. The Monist, 99(3), 243-259. https://doi.org/10.1093/monist/onw003
  • Salis, Fiora (2019). The new fiction view of models. British Journal for the Philosophy of Science, https://doi.org/10.1093/bjps/axz015 picture_as_pdf
  • Salis, Fiora (2016). The problem of satisfaction conditions and the dispensability of i-desire. Erkenntnis, 81(1), 105-118. https://doi.org/10.1007/s10670-015-9731-4
  • Salis, Fiora, Frigg, Roman (2016). Capturing the scientific imagination. In Godfrey-Smith, Peter, Levy, Arnon (Eds.), The Scientific Imagination . Oxford University Press. picture_as_pdf
  • San Pedro, Iñaki, Suárez, Mauricio (2008). The principle of common cause and indeterminism: a review. (Technical report 07/08). Contingency and Dissent in Science Project. picture_as_pdf
  • Schnell, Alexandra K., Browning, Heather, Birch, Jonathan (24 March 2022) Octopus farms raise huge animal welfare concerns - and they’re unsustainable too. The Conversation. picture_as_pdf
  • Shenker, Orly R. (2001). Science: freedom and reason: comments on Mara Beller's quantum dialogue. Iyyun: the Jerusalem Philosophical Quarterly, 50, 55-62.
  • Soto, Cristian (2023). Reconstruyendo la concepción newtoniana de las leyes de la naturaleza. Revista de Humanidades de Valparaíso, 23, 309 - 330. https://doi.org/10.22370/rhv2023iss23pp309-330 picture_as_pdf
  • Stuart, Michael T., Wilkenfeld, Daniel (2022). Understanding metaphorical understanding (literally). European Journal for Philosophy of Science, 12(3). https://doi.org/10.1007/s13194-022-00479-5 picture_as_pdf
  • Suárez, Mauricio (2008). Fictions in science: philosophical essays on modeling and idealisation. Routledge.
  • Suárez, Mauricio (2019). Filosofía de la ciencia: historia y práctica. Tecnos (Firm).
  • Suárez, Mauricio (2019). Informative models: idealization and abstraction. In Models and idealisations in science: fictional and artifactual approaches . Springer Berlin / Heidelberg.
  • Suárez, Mauricio (2021). Philosophy of probability and statistical modelling. Cambridge University Press. https://doi.org/10.1017/9781108985826
  • Suárez, Mauricio (2015). Representation in science. In Humpreys, Paul (Ed.), The Oxford Handbook of Philosophy of Science . Oxford University Press. https://doi.org/10.1093/oxfordhb/9780199368815.013.25
  • Suárez, Mauricio (2010). Scientific representation. Philosophy Compass, 5(1), 91-101. https://doi.org/10.1111/j.1747-9991.2009.00261.x
  • Suárez, Mauricio (2003). Scientific representation: against similarity and isomorphism. International Studies in the Philosophy of Science, 17(3), 225-244. https://doi.org/10.1080/0269859032000169442
  • Suárez, Mauricio (2004). An inferential conception of scientific representation. Philosophy of Science, 71(5), 767-779. https://doi.org/10.1086/421415
  • Suárez, Mauricio (2002). The pragmatics of scientific representation. (Discussion paper DP 66/02). Centre for Philosophy of Natural and Social Science. picture_as_pdf
  • Suárez, Mauricio (1999). The role of models in the application of scientific theories: epistemological implications. In Morgan, Mary S., Morrison, Margaret (Eds.), Models as Mediators: Perspectives on Natural and Social Science . Cambridge University Press.
  • Suárez, Mauricio (2024). The emergence of the modelling attitude. In Knuuttila, Tarja, Carrillo, Natalia, Koskinen, Rami (Eds.), The Routledge Handbook of Philosophy of Scientific Modeling (pp. 11 - 25). Routledge. https://doi.org/10.4324/9781003205647-3 picture_as_pdf
  • Thompson, Chris (2009). How to tell when efficacy will NOT translate into effectiveness. (Contingency and Dissent in Science technical report 03/09). Centre for Philosophy of Natural and Social Science.
  • Veit, Walter, Browning, Heather (2022). Pathological complexity and the evolution of sex differences. Behavioral and Brain Sciences, 45, https://doi.org/10.1017/S0140525X22000498
  • Venegas, Percy, Britez, Isabel, Gobet, Fernand (2022). Ensemble models using symbolic regression and genetic programming for uncertainty estimation in ESG and alternative investments. In Walker, Thomas, Davis, Frederick, Schwartz, Tyler (Eds.), Big Data in Finance: Opportunities and Challenges of Financial Digitalization (pp. 69 - 91). Springer International (Firm). https://doi.org/10.1007/978-3-031-12240-8_5
  • Werndl, Charlotte, Frigg, Roman (2011). Entropy: a guide for the perplexed. In Beisbart, Claus, Hartmann, Stephan (Eds.), Probabilities in Physics (pp. 115-142). Oxford University Press.
  • Worrall, John (2010). Evidence: philosophy of science meets medicine. Journal of Evaluation in Clinical Practice, 16(2), 356-362. https://doi.org/10.1111/j.1365-2753.2010.01400.x
  • Worrall, John (2010). For universal rules, against induction. Philosophy of Science, 77(5), 740-753. https://doi.org/10.1086/656823
  • Worrall, John (2002). Philosophy of science: classic debates, standard problems, future prospects. In Machamer, Peter, Silberstein, Michael (Eds.), The Blackwell Guide to the Philosophy of Science (pp. 18-36). Blackwell Publishing Ltd..
  • Worrall, John (2000). Pragmatic factors in theory-acceptance. In Newton-Smith, William (Ed.), A Companion to the Philosophy of Science (pp. 349-357). Blackwell Publishing Ltd..
  • Worrall, John (2005). Theory-confirmation and history. In Cheyne, Colin, Worrall, John (Eds.), Rationality and Reality: Conversations With Alan Musgrave (pp. 31-62). Kluwer Academic Publishers.
  • Şerban, Maria (2017). What can polysemy tell us about theories of explanation? European Journal for Philosophy of Science, 7(1), 41-56. https://doi.org/10.1007/s13194-016-0142-4
  • Centre for Women Peace and Security
  • Holvikivi, Aiko (2019). Gender experts and critical friends: research in relations of proximity. European Journal of Politics and Gender, 2(1), 131 - 147. https://doi.org/10.1332/251510819X15471289106068 picture_as_pdf
  • Data Science Institute
  • Brooke, Siân (2025). Python is for girls!: Masculinity, femininity, and queering inclusion at hackathons. In Yamashita, Naomi, Evers, Vanessa, Yatani, Koji, Ding, Xianghua (Sharon), Lee, Bongshin, Chetty, Marshini, Toups-Dugas, Phoebe (Eds.), CHI '25: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems . Association for Computing Machinery. https://doi.org/10.1145/3706598.3713235 picture_as_pdf
  • Ledeatte, Barry (14 March 2025) DeepSeek, ChatGPT and the race towards artificial general intelligence. LSE Business Review. picture_as_pdf
  • Economic History
  • London School of Economics and Political Science. Department of Economic History (2007-04-12 - 2007-04-13) Popular science or popular fiction [Poster]. Fact/fiction ratio in science writing, London, United Kingdom, GBR.
  • London School of Economics and Political Science. Department of Economic History (2005). The nature of evidence: how well do 'facts' travel? Annual report 2004-2005. Department of Economic History, London School of Economics and Political Science.
  • London School of Economics and Political Science. Department of Economic History (2006). The nature of evidence: how well do 'facts' travel? Annual report 2005-2006. Department of Economic History, London School of Economics and Political Science.
  • London School of Economics and Political Science. Department of Economic History (2007). The nature of evidence: how well do 'facts' travel? Annual report 2006-2007. Department of Economic History, London School of Economics and Political Science.
  • The London School of Economics and Political Science. Department of Economic History. (2008). The nature of evidence: how well do 'facts' travel? Annual report 2007-2008. Department of Economic History, London School of Economics and Political Science.
  • London School of Economics and Political Science. Department of Economic History (2010). The nature of evidence: how well do ‘facts’ travel? Final report 2004-2009. London School of Economics and Political Science.
  • Adams, Jon (2007). Contesting democracy: scientific popularisation and popular choice. (Working papers on the nature of evidence: how well do 'facts' travel? 20/07). Department of Economic History, London School of Economics and Political Science.
  • Ankeny, Rachel A. (2006). Wormy logic: model organisms as case-based reasoning. (Working papers on the nature of evidence: how well do 'facts' travel? 07/06). Department of Economic History, London School of Economics and Political Science.
  • Boumans, Marcel (2007). Battle in the planning office: biased experts versus normative statisticians. (Working papers on the nature of evidence: how well do 'facts' travel? 16/07). Department of Economic History, London School of Economics and Political Science.
  • Cartwright, Nancy (1999). Models and the limits of theory: quantum hamiltonians and the BCS model of superconductivity. In Morgan, Mary S., Morrison, Margaret (Eds.), Models as Mediators (pp. 241-281). Cambridge University Press.
  • Erickson, Paul, Mitman, Gregg (2007). When rabbits became humans (and humans, rabbits): stability, order, and history in the study of populations. (Working papers on the nature of evidence: how well do 'facts' travel? 19/07). Department of Economic History, London School of Economics and Political Science.
  • Hardman, Doug, Hutchinson, Phil, Ongaro, Giulio (2020). Questioning the consensus on placebo and nocebo effects. Psychotherapy and Psychosomatics, 1 - 2. https://doi.org/10.1159/000513466 picture_as_pdf
  • Haycock, David Boyd (2004). 'The long-lost truth': Sir Isaac Newton and the Newtonian pursuit of ancient knowledge. Studies in the History and Philosophy of Science, 35(3), 605-23. https://doi.org/10.1016/j.shpsa.2004.06.009
  • Koschnick, Julius Johannes (2023). On the shoulders of science – early science as a driver of innovation during the early industrial revolution [Doctoral thesis]. London School of Economics and Political Science. https://doi.org/10.21953/lse.00004620
  • Leonelli, Sabina (2008). Circulating evidence across research contexts: the locality of data and claims in model organism research. (Working papers on the nature of evidence: how well do 'facts' travel? 25/08). Department of Economic History, London School of Economics and Political Science.
  • Leonelli, Sabina (2008). Regulating data travel in the life sciences: the impact of commodification. (Working papers on the nature of evidence: how well do 'facts' travel? 27/08). Department of Economic History, London School of Economics and Political Science.
  • Mattila, Erika (2005). Interdisciplinarity 'in the making': modelling infectious diseases. Perspectives on Science, 13(4), 531-553. https://doi.org/10.1162/106361405775466081
  • Mattila, Erika (2006). Umbrella model of inquiry and the dynamics of scientific practices. (Explanatory connections - electronic essays dedicated to Matti Sintonen). Faculty of Social Sciences, University of Helsinki.
  • Mattila, Erika (2008). The lives of ‘facts’: understanding disease transmission through the case of Haemophilus influenzae type b bacteria. (Working papers on the nature of evidence: how well do 'facts' travel? 26/08). Department of Economic History, London School of Economics and Political Science.
  • Meunier, Robert (2018). Project knowledge and its resituation in the design of research projects: Seymour Benzer's behavioral genetics, 1965-1974. Studies in History and Philosophy of Science Part A, https://doi.org/10.1016/j.shpsa.2018.04.001
  • Morgan, Mary S. (2003). Economics. In Porter, Theodore M., Ross, Dorothy (Eds.), The Modern Social Sciences (pp. 97-127). Cambridge University Press.
  • Morgan, Mary S. (2003). Economics. In Porter, Theodore M., Ross, Dorothy (Eds.), The Cambridge History of Science (pp. 275-305). Cambridge University Press.
  • Morgan, Mary S. (2003). Experiments without material intervention: model experiments, virtual experiments and virtually experiments. In Radder, Hans (Ed.), The Philosophy of Scientific Experimentation (pp. 216-235). University of Pittsburgh. Press.
  • Morgan, Mary S. (2004). Imagination and imaging in economic model building. Philosophy of Science, 71(5), 753-766. https://doi.org/10.1086/426769
  • Morgan, Mary S. (2002). Model experiments and models in experiments. In Lorenzo, Magnani, Nersessian, Nancy J. (Eds.), Model-Based Reasoning : Science, Technology, Values (pp. 41-58). Kluwer Academic/Plenum.
  • Morgan, Mary S. (2014). Resituating knowledge: generic strategies and case studies. Philosophy of Science, 81(5), 1012 - 1024. https://doi.org/10.1086/677888
  • Morgan, Mary S. (2004). Secrets hidden in 2-D: the economy as a hydraulic machine. In de Chadarevian, Soraya, Hopwood, Nick (Eds.), Models the Third Dimension of Science (pp. 369-401). Stanford University Press.
  • Morgan, Mary S. (2004). Simulation: the birth of a technology to create 'evidence' in economics. Revue d'histoire des Sciences, 57(2), 339-375.
  • Morgan, Mary S., Boumans, Marcel (2004). Secrets hidden by two-dimensionality: the economy as a hydraulic machine. In De Chadarevian, Soraya, Hopwood, Nick (Eds.), Models: the Third Dimension of Science (pp. 369-401). Stanford University Press.
  • Morgan, Mary S. (2024). Narrative and models. In Knuuttila, Tarja, Carrillo, Natalia, Koskinen, Rami (Eds.), The Routledge Handbook of Philosophy of Scientific Modeling (pp. 367 - 381). Routledge. https://doi.org/10.4324/9781003205647-32 picture_as_pdf
  • Rabier, Christelle (2005). En attendant que le porridge refroidisse…la réponse de SSS aux science wars. Genèses, 1(5), 113-131.
  • Rabier, Christelle (2007). Un épisode de la guerre de la science au Royaume-Uni. In Roux, Sophie (Ed.), Retours Sure L'affaire Sokal (pp. 51-89). Harmattan (Firm).
  • Ramsden, Edmund (2002). Carving up population science: eugenics, demography and the controversy over the 'biological law' of population growth. Social Studies of Science, 32(5-6), 857-899. https://doi.org/10.1177/030631270203200509
  • Ramsden, Edmund, Adams, Jon (2008). Escaping the laboratory: the rodent experiment of John B Calhoun and their cultural influence. (Working papers on the nature of evidence: how well do 'facts' travel? 23/08). Department of Economic History, London School of Economics and Political Science.
  • Ramsden, Edmund, Adams, Jon (2009). Escaping the laboratory: the rodent experiment of John B. Calhoun and their cultural influence. Journal of Social History, 42(3), 761-797. https://doi.org/10.1353/jsh/42.3.761
  • Roy, Tirthankar (2023). Book review: Suvobrata Sarkar, ed., History of Science, Technology, Environment, and Medicine in India. Indian Economic and Social History Review, https://doi.org/10.1177/00194646241256333
  • Xu, Ting, Rezakhani, Khodadad (2012). Reorienting the discovery machine: perspectives from China and Islamdom on Toby Huff's intellectual curiosity and the scientific revolution: a global perspective. Journal of World History, 23(2), 401-412. https://doi.org/10.1353/jwh.2012.0058
  • Economics
  • Adusumilli, Karun, Otsu, Taisuke (2018). Nonparametric instrumental regression with errors in variables. Econometric Theory, 34(6), 1256-1280. https://doi.org/10.1017/S0266466617000469
  • Baltagi, Badi, Hidalgo, Javier, Li, Qi (1996). A nonparametric test for poolability using panel data. Journal of Econometrics, 75(2), 345-367. https://doi.org/10.1016/0304-4076(95)01779-8
  • Bonargent, Alix (2024). Bridging the gap between research and policy [Doctoral thesis]. London School of Economics and Political Science.
  • Dolado, Juan J., Hidalgo, Javier (1990). The asymptotic distribution of the iterated Gauss-Newton estimators of an ARIMA process. Econometric Theory, 6(4), 490-494. https://doi.org/10.1017/S0266466600005570
  • Foldes, Lucien (1965). A note on individualistic explanations. In Lakatos, I., Musgrave, A. (Eds.), Problems in the Philosophy of Science: Proceedings of the International Colloquium in the Philosophy of Science . North-Holland. picture_as_pdf
  • Grogger, Jeffrey, Ivandic, Ria, Kirchmaier, Thomas (2020). Comparing conventional and machine-learning approaches to risk assessment in domestic abuse cases. (CEP Discussion Paper 1676). London School of Economics and Political Science. Centre for Economic Performance. picture_as_pdf
  • Hidalgo, Javier (1992). Adaptive estimation in time serise regression models with heteroskedasticity of unknown form. Econometric Theory, 8(02), 161-187. https://doi.org/10.1017/S0266466600012743
  • Hidalgo, Javier (1992). Adaptive semiparametric estimation in the presence of autocorrelation of unknown form. Journal of Time Series Analysis, 13(1), 47-78. https://doi.org/10.1111/j.1467-9892.1992.tb00094.x
  • Hidalgo, Javier (2002). Consistent order selection with strongly dependent data and its application to efficient estimation. Journal of Econometrics, 110(2), 213-239. https://doi.org/10.1016/S0304-4076(02)00094-5
  • Hidalgo, Javier (2009). Goodness of fit for lattice processes. Journal of Econometrics, 151(2), 113-128. https://doi.org/10.1016/j.jeconom.2009.03.003
  • Hidalgo, Javier (1996). Spectral analysis for bivariate time series with long memory. Econometric Theory, 12(05), 773-792. https://doi.org/10.1017/S0266466600007155
  • Hidalgo, Javier (1995). A nonparametric conditional moment test for structural stability. Econometric Theory, 11(04), p. 671. https://doi.org/10.1017/S0266466600009683
  • Hidalgo, Javier, Soulier, Philippe (2004). Estimation of the location and exponent of the spectral singularity of a long memory process. Journal of Time Series Analysis, 25(1), 55-81. https://doi.org/10.1111/j.1467-9892.2004.00337.x
  • Hidalgo, Javier, Yajima, Y. (2002). Prediction in the frequency domain under long-range processes with application to the signal extraction problem. Econometric Theory, 18(03), 584-624. https://doi.org/10.1017/S0266466602183022
  • Hotz, V. Joseph, Komarova, Tatiana, Bollinger, Christopher R., Manski, Charles F., Moffitt, Robert A., Nekipelov, Denis, Sojourner, Aaron, Spencer, Bruce D. (2022). Balancing data privacy and usability in the federal statistical system. Proceedings of the National Academy of Sciences of the United States of America, 119(31). https://doi.org/10.1073/pnas.2104906119 picture_as_pdf
  • Matsushita, Yukitoshi, Otsu, Taisuke (2018). Likelihood inference on semiparametric models: average derivative and treatment effect. Japanese Economic Review, 69(2), 133-155. https://doi.org/10.1111/jere.12167
  • Maura Rivero, Roberto Rafael (2025). Essays in economic theory and AI [Doctoral thesis]. London School of Economics and Political Science. https://doi.org/10.21953/lse.00004969
  • Robinson, P. M., Hidalgo, Javier (1997). Time series regression with long-range dependence. Annals of Statistics, 25(1), 77-104. https://doi.org/10.1214/aos/1034276622
  • Schankerman, Mark (2009). Comments on "A policy shaped research agenda on the economics of science and technology". In Foray, Dominique (Ed.), The New Economics of Techonolgy Policy . Edward Elgar.
  • Sokol, Tal (2013). Are independent regulatory agencies necessarily better for efficient regulation? The case of communications regulation in Israel.
  • Stern, Nicholas (2006). The Stern Review report on the economics of climate change. Cambridge University Press.
  • Van Reenen, John, Freeman, Richard B. (2009). What if Congress doubled R&D spending on the physical sciences? (CEP Discussion Papers 931). London School of Economics and Political Science. Centre for Economic Performance.
  • Van Reenen, John, Griffith, Rachel (1995). Promoting R&D through tax incentives: as assessment of the arguments. Science in Parliament, 52(1).
  • Young, Alwyn (1993). Invention and bounded learning by doing. Journal of Political Economy, 101(3), 443-472.
  • European Institute
  • Corbett, Anne (2012). Efforts to strengthen and promote the role of universities in the UK often ignore the European dimension, to their cost.
  • Knott, Eleanor, Kostovicova, Denisa (12 June 2024) In political science research ethics is women's work. Impact of Social Sciences Blog. picture_as_pdf
  • Knott, Eleanor, Kostovicova, Denisa (2024). To report or not to report on research ethics in political science and international relations: a new dimension of gender-based inequality. American Political Science Review, https://doi.org/10.1017/S0003055424000546 picture_as_pdf
  • Finance
  • Hu, Hui, Lei, Ting, Hu, Jie, Zhang, Songlai, Kavan, Philip (2018). Disaster-mitigating and general innovative responses to climate disasters: evidence from modern and historical China. International Journal of Disaster Risk Reduction, 28, 664-673. https://doi.org/10.1016/j.ijdrr.2018.01.022
  • Financial Markets Group
  • Foldes, Lucien (1965). A note on individualistic explanations. In Lakatos, I., Musgrave, A. (Eds.), Problems in the Philosophy of Science: Proceedings of the International Colloquium in the Philosophy of Science . North-Holland. picture_as_pdf
  • Firoz Lalji Institute for Africa
  • Hennessey, Mathew, Barnett, Tony (2023). Method in limbo? Theoretical and empirical considerations in using thematic analysis by veterinary and One Health researchers. Preventive Veterinary Medicine, 221, https://doi.org/10.1016/j.prevetmed.2023.106061 picture_as_pdf
  • Gender Studies
  • Burchell, Kevin, Franklin, Sarah, Holden, Kerry (2009). Public culture as professional science: final report of the ScoPE project (scientists on public engagement: from communication to deliberation?). BIOS (Centre for the Study of Bioscience, Biomedicine, Biotechnology and Society).
  • Holvikivi, Aiko (2019). Gender experts and critical friends: research in relations of proximity. European Journal of Politics and Gender, 2(1), 131 - 147. https://doi.org/10.1332/251510819X15471289106068 picture_as_pdf
  • Geography and Environment
  • Grantham Research Institute on Climate Change and the Environment Adaptation Sub-Committee Centre for Climate Change Economics and Policy University of Leeds Economic and Social Research Council (2010). Adaptation in the UK: a decision-making process. Environment Agency.
  • Bauwens, Luc, Mion, Giordano, Thisse, Jacques-François (2011). The resistible decline of European science. Recherches Économiques de Louvain, 77(4), 5-31. https://doi.org/10.3917/rel.774.0005
  • Bosquet, Clément, Combes, Pierre-Philippe (2013). Do large departments make academics more productive? agglomeration and peer effects in research. (SERC Discussion Papers SERCDP0133). Spatial Economics Research Centre, London School of Economics and Political Science.
  • Cattell, Cynthia A., Chari, Sharad, Temerin, Michael A. (1991). An S3-3 satellite study of the effects of the solar cycle on the auroral acceleration process. Journal of Geophysical Research, 96(A10), 17903-17908. https://doi.org/10.1029/91JA01824
  • Crescenzi, Riccardo (27 February 2025) European Big Science has the potential to drive social and economic transformation. Impact of Social Sciences Blog. picture_as_pdf
  • Dietz, Simon, Heal, Geoffrey, Millner, Anthony (2010). Ambiguity is another reason to mitigate climate change.
  • Dietz, Simon, Maddison, David J. (2009). New frontiers in the economics of climate change. Environmental and Resource Economics, 43(3), 295 - 306. https://doi.org/10.1007/s10640-009-9278-4
  • Dietz, Simon, Fankhauser, Samuel (2010). Environmental prices, uncertainty, and learning. Oxford Review of Economic Policy, 26(2), 270-284. https://doi.org/10.1093/oxrep/grq005
  • Dietz, Simon, Morton, Alec (2011). Strategic appraisal of environmental risks: a contrast between the United Kingdom's Stern Review on the Economics of Climate Change and its Committee on Radioactive Waste Management. Risk Analysis, 31(1), 129-142. https://doi.org/10.1111/j.1539-6924.2010.01484.x
  • Doku, Angela, Di Falco, Salvatore (2012). Biofuels in developing countries: are comparative advantages enough? Energy Policy, 44, 101-117. https://doi.org/10.1016/j.enpol.2012.01.022
  • Garonna, P., Iammarino, Simona (2000). Scienza ‘aperta’ e politiche pubbliche. In Garonna, P., Iammarino, Simona (Eds.), Economia Della Ricerca . Società Editrice il Mulino.
  • Mason, Michael (2007). Book review: the energy age: a guide to the use and abuse of energy in the world today. European Environment, 17(2), p. 145. https://doi.org/10.1002/eet.437
  • Nikonovas, Tadas, Santín, Cristina, Belcher, Claire M., Clay, Gareth D., Kettridge, Nicholas, Smith, Thomas E. L., Doerr, Stefan H. (2024). Vegetation phenology as a key driver for fire occurrence in the UK and comparable humid temperate regions. International Journal of Wildland Fire, 33(10). https://doi.org/10.1071/WF23205 picture_as_pdf
  • Overman, Henry G. (2011). Science parks.
  • Pearce, David, Atkinson, Giles, Mourato, Susana (2006). Cost-benefit analysis and the environment: recent developments. OECD.
  • Piazza, Gabriele (2025). Essays on the economics and geography of Big Science [Doctoral thesis]. London School of Economics and Political Science. https://doi.org/10.21953/lse.00004960 picture_as_pdf
  • Pratt, Andy C. (1998). Science, technologie, innovation: ouvrir la boite noire. In Cohen, J, Hart, D, Simmie, J (Eds.), Recherche et Développement: Travaux Franco-Brittaniques . Publications de la Sorbonne.
  • Sharman, Amelia (2014). Mapping the climate sceptical blogosphere. Global Environmental Change, 26, 159-170. https://doi.org/10.1016/j.gloenvcha.2014.03.003
  • Smith, Thomas E.L., Schulte, Jonathan T. (2024). Engaging undergraduate students in citizen science: measuring air pollution as a pedagogical approach. In Garnham, Wendy, Oprandi, Paolo (Eds.), Outdoor Learning in Higher Education: Educating beyond the Seminar Room (pp. 150 - 160). Routledge. https://doi.org/10.4324/9781003436928-22
  • Sælen, Håkon, Dietz, Simon, Hepburn, Cameron, Helgeson, Jennifer, Atkinson, Giles (2009). Siblings, not triplets: social preferences for risk, inequality and time in discounting climate change. Economics, 20(3), 1-28. https://doi.org/10.5018/economics-ejournal.ja.2009-26
  • Wei, Ran (30 June 2023) Interviewing Chinese local government officials: reflection on research transparency and coercion. Field Research Methods Lab Blog. picture_as_pdf
  • Global Surgery Policy Unit (GSPU)
  • Rangel Teixeira, Alice, Kleinlein, Ricardo, Kalema, Nai Lee, Agyemang, Gift Osei, Senteio, Charles, Celi, Leo Anthony, Agyemang, Seth, Kebede, Meskerem Aleka (2025). Reimagining open science for global health: epistemic power and the pursuit of health equity. PLOS Global Public Health, 5(11). https://doi.org/10.1371/journal.pgph.0005300 picture_as_pdf
  • Government
  • LSE GV314 Group (2018). Politicians in white coats? Scientific advisory committees and policy in Britain. Public Policy and Administration, 33(4), 428-446. https://doi.org/10.1177/0952076717711746
  • Theros, Marika, Hervey, Angus, Held, David (Eds.) (2011). The governance of climate change: science, politics and ethics. Polity Press.
  • Aula, Ville, Erkkilä, Tero (2024). AI and transparency. In Paul, Regine, Carmel, Emma, Cobbe, Jennifer (Eds.), Handbook on Public Policy and Artificial Intelligence (pp. 170 - 180). Edward Elgar. https://doi.org/10.4337/9781803922171.00020 picture_as_pdf
  • Dietrich, Franz, List, Christian (2013). Reasons for (prior) belief in Bayesian epistemology. Synthese, 190(5), 787-808.
  • Dietrich, Franz, List, Christian (2013). Where do preferences come from? International Journal of Game Theory, 42(3), 613 - 637. https://doi.org/10.1007/s00182-012-0333-y
  • Dunleavy, Patrick, Bastow, Simon, Tinkler, Jane (2008). The impact and value of the Foresight research programme: report to Foresight from the LSE Public Policy Group. London School of Economics and Political Science. Public Policy Group. picture_as_pdf
  • Dunleavy, Patrick, Tinkler, Jane (2020). Maximizing the impacts of academic research: how to grow the recognition, influence, practical application and public understanding of science and scholarship. Macmillan Education.
  • Falabella, Leonardo (28 June 2024) How can quantitative methods enhance research in HE? LSE Higher Education. picture_as_pdf
  • Lyons, Benjamin A., Mérola, Vittorio, Reifler, Jason, Spälti, Anna Katharina, Stedtnitz, Christine, Stoeckel, Florian (2024). When experts matter: variations in consensus messaging for vaccine and genetically modified organism safety. Public Understanding of Science, 33(2), 210 - 226. https://doi.org/10.1177/09636625231188594 picture_as_pdf
  • Marcoci, Alexandru, Nguyen, James (2018). Objectivity, ambiguity and theory choice. Erkenntnis, 84(2), 343-357. https://doi.org/10.1007/s10670-017-9961-8 picture_as_pdf
  • Matus, Kira J. M., Hutchison, James E., Peoples, Robert, Rung, Skip, Tanguay, Robert (2011). Green nanotechnology challenges and opportunities. American Chemical Society.
  • Ypi, Lea (2022). Kant on scientific laws. In Caranti, Luigi, Pinzani, Alessandro (Eds.), Kant and the Problem of Knowledge: Rethinking the Contemporary World (pp. 25 - 43). Routledge. https://doi.org/10.4324/9781003050742-3 picture_as_pdf
  • Grantham Research Institute
  • Grantham Research Institute on Climate Change and the Environment Adaptation Sub-Committee Centre for Climate Change Economics and Policy University of Leeds Economic and Social Research Council (2010). Adaptation in the UK: a decision-making process. Environment Agency.
  • Fouquet, Roger (Ed.) (2013). Handbook on energy and climate change. Edward Elgar.
  • Allanson, Oliver, Ma, Donglai, Osmane, Adnane, Albert, Jay M., Bortnik, Jacob, Watt, Clare E.J., Chapman, Sandra C., Spencer, Joseph, Ratliff, Daniel J. & Meredith, Nigel P. et al (2024). The challenge to understand the zoo of particle transport regimes during resonant wave-particle interactions for given survey-mode wave spectra. Frontiers in Astronomy and Space Sciences, 11, https://doi.org/10.3389/fspas.2024.1332931 picture_as_pdf
  • Dietz, Simon, Heal, Geoffrey, Millner, Anthony (2010). Ambiguity is another reason to mitigate climate change.
  • Dietz, Simon, Maddison, David J. (2009). New frontiers in the economics of climate change. Environmental and Resource Economics, 43(3), 295 - 306. https://doi.org/10.1007/s10640-009-9278-4
  • Dietz, Simon, Fankhauser, Samuel (2010). Environmental prices, uncertainty, and learning. Oxford Review of Economic Policy, 26(2), 270-284. https://doi.org/10.1093/oxrep/grq005
  • Dietz, Simon, Morton, Alec (2011). Strategic appraisal of environmental risks: a contrast between the United Kingdom's Stern Review on the Economics of Climate Change and its Committee on Radioactive Waste Management. Risk Analysis, 31(1), 129-142. https://doi.org/10.1111/j.1539-6924.2010.01484.x
  • Grover, David, Shreedhar, Ganga, Zenghelis, Dimitri (2016). The competitiveness impact of a UK carbon price: what do the data say? (Policy Paper). Grantham Research Institute on Climate Change and the Environment.
  • Lade, Steven J., Tavoni, Alessandro, Levin, Simon A., Schlüter, Maja (2013). Regime shifts in a social-ecological system. Theoretical Ecology, 6(3), 359-372. https://doi.org/10.1007/s12080-013-0187-3
  • Ranger, Nicola, Gohar, L. K., Lowe, J. A., Raper, S. C. B., Bowen, Alex, Ward, Robert E. T. (2012). Is it possible to limit global warming to no more than 1.5°C? Climatic Change, 111(3-4), 973-981. https://doi.org/10.1007/s10584-012-0414-8
  • Ranger, Nicola, Niehörster, Falk (2012). Deep uncertainty in long-term hurricane risk: scenario generation and implications for future climate experiments. Global Environmental Change, 22(3), 703-712. https://doi.org/10.1016/j.gloenvcha.2012.03.009
  • Sethi, Pallavi (5 August 2025) Inside Trump’s campaign to censor climate science. News and Commentaries.
  • Sharman, Amelia (2014). Mapping the climate sceptical blogosphere. Global Environmental Change, 26, 159-170. https://doi.org/10.1016/j.gloenvcha.2014.03.003
  • Smith, Leonard A., Stern, Nicholas (2011). Uncertainty in science and its role in climate policy. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 369(1956), 4818-4841. https://doi.org/10.1098/rsta.2011.0149
  • Sælen, Håkon, Dietz, Simon, Hepburn, Cameron, Helgeson, Jennifer, Atkinson, Giles (2009). Siblings, not triplets: social preferences for risk, inequality and time in discounting climate change. Economics, 20(3), 1-28. https://doi.org/10.5018/economics-ejournal.ja.2009-26
  • Treskova, Marina, Montalvo, Tomás, Rocklöv, Joacim, Hatfield, Charles, Bartumeus, Frederic, Dasgupta, Shouro, Encarnação, João, Lowe, Rachel, Semenza, Jan C. & Stiles, Pascale et al (2025). Effects of mosquito-proofing storm drains on adult and larvae mosquito abundance protocol of the IDAlErt storm drAin randomiSed controlled trial (IDEAS). MethodsX, 14, https://doi.org/10.1016/j.mex.2024.103102 picture_as_pdf
  • Ward, Bob (2015). Letter to Congressman Lamar Smith in regard to the testimony given by Dr Bjorn Lomborg to the House Committee on Science, Space, and Technology. Centre for Climate Change Economics and Policy and Grantham Research Institute on Climate Change and the Environment.
  • Ward, Robert E. T., Fong, Joann, Jones, Bernard Eric Michal, Casselton, Lorna Ann, Cox, Stephen James (2009). How national science academies in developed countries can assist development in sub-Saharan Africa. International Journal of Technology Management and Sustainable Development, 46(1/2), 9-26. https://doi.org/10.1504/IJTM.2009.022672
  • de Melo Virissimo, Francisco, Stainforth, David A., Bröcker, Jochen (2024). The evolution of a non-autonomous chaotic system under non-periodic forcing: a climate change example. Chaos, 34(1). https://doi.org/10.1063/5.0180870 picture_as_pdf
  • Health Policy
  • Bann, David, Courtin, Emilie, Davies, Neil M., Wright, Liam (2024). Dialling back ‘impact’ claims: researchers should not be compelled to make policy claims based on single studies. International Journal of Epidemiology, 53(1). https://doi.org/10.1093/ije/dyad181
  • Cherla, Avi, Naci, Huseyin, Woloshin, Steven, Wagner, Anita Katharina, Ong, Mei-Sing (2025). Communication of uncertainties about recent cancer drugs in large language models. Journal of Clinical Oncology, 43(16_suppl), 11026 - 11026. https://doi.org/10.1200/jco.2025.43.16_suppl.11026
  • Lagarde, Mylène, Blaauw, Duane (2021). Effects of incentive framing on performance and effort: evidence from a medically framed experiment. Journal of the Economic Science Association, 7(1), 33 - 48. https://doi.org/10.1007/s40881-021-00100-0 picture_as_pdf
  • Mossailos, Elias (2017). Elias Mossialos: the politics of R&D. BMJ, (358), j3756. https://doi.org/10.1136/bmj.j3756
  • Simpkin, Victoria, Namubiru-Mwaura, Evelyn, Clarke, Lorcan, Mossialos, Elias (2019). Investing in health R&D: where we are, what limits us, and how to make progress in Africa. BMJ Global Health, 4(2). https://doi.org/10.1136/bmjgh-2018-001047 picture_as_pdf
  • Srivastava, Divya, Scarbrough, Harry, Stavropoulou, Charitini (2020). Current regulatory challenges to support the spread of digital health technologies: CHIR Report. (CHIR Reports). Centre for Healthcare Innovation Research, City, University of London.
  • Stoto, Michael A., Woolverton, Abbey, Kraemer, John, Barlow, Pepita, Clarke, Michael (2022). COVID-19 data are messy: analytic methods for rigorous impact analyses with imperfect data. Globalization and Health, 18(1). https://doi.org/10.1186/s12992-021-00795-0 picture_as_pdf
  • India Observatory
  • Smith, Leonard A., Stern, Nicholas (2011). Uncertainty in science and its role in climate policy. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 369(1956), 4818-4841. https://doi.org/10.1098/rsta.2011.0149
  • Institute of Global Affairs
  • Pearce, Jenny (2017). Bradford’s Community University: from ‘constellation of knowledge’ to liberating the general intellect? In Hall, Richard, Winn, Joss (Eds.), Mass Intellectuality and Democratic Leadership in Higher Education . Bloomsbury (Firm).
  • International Development
  • Lewis, David, Rodgers, Dennis, Woolcock, Michael (Eds.) (2022). New mediums, better messages? How innovations in translation, engagement, and advocacy are changing international development. Oxford University Press. picture_as_pdf
  • Allan, Jen Iris, Borthakur, Anwesha, Kinninburgh, Fiona, Petersmann, Moritz, Balayannis, Angeliki, Barry, Andrew, Beck, Silke, Elliott, Kevin, Forsyth, Tim & Hardon, Anita et al (2025). Rethinking the science-policy interface for chemicals, waste, and pollution: challenging core assumptions. Global Environmental Change, 92, https://doi.org/10.1016/j.gloenvcha.2025.102995 picture_as_pdf
  • Bennett, Andrew, Charman, Andrew E., Fairfield, Tasha (2022). Understanding Bayesianism: fundamentals for process tracers. Political Analysis, 30(2), 298 - 305. https://doi.org/10.1017/pan.2021.23
  • Forsyth, Tim (2011). Politicizing environmental explanations: what can political ecology learn from sociology and philosophy of science? In Goldman, Mara J., Nadasdy, Paul, Turner, Matthew D. (Eds.), Knowing Nature: Conversations at the Intersection of Political Ecology and Science Studies (pp. 31-46). University of Chicago Press.
  • Forsyth, Tim (2011). Expertise needs transparency not blind trust: a deliberative approach to integrating science and social participation. Critical Policy Studies, 5(3), 317-322. https://doi.org/10.1080/19460171.2011.606305
  • Klingler-Vidra, Robyn, Wade, Robert (2020). Science and technology policies and the middle-income trap: lessons from Vietnam. The Journal of Development Studies, 56(4), 717 - 731. https://doi.org/10.1080/00220388.2019.1595598 picture_as_pdf
  • Mosini, Valeria (2008). Equilibrium in chemistry and in economics: an interdisciplinary comparison. Physis: Rivista Internazionale di Storia Della Scienza, XLV, 161-182.
  • International Growth Centre
  • Zheng, Siqi, Sun, Weizeng, Wu, Jianfeng, Kahn, Matthew (2015). The birth of edge cities in China: measuring the spillover effects of industrial parks.
  • International History
  • Sivasundaram, Sujit (2010). Focus: Global histories of science: introduction. Isis, 101(1), 95-97. https://doi.org/10.1086/652690
  • Sivasundaram, Sujit (2010). Introduction: global histories of science. In Sivasundaram, Sujit (Ed.), Global Histories of Science . University of Chicago Press.
  • Sivasundaram, Sujit (2001). Natural history spiritualized: civilizing islanders, cultivating breadfruit and collecting souls. History of Science, 39/4(126), 417-443.
  • Sivasundaram, Sujit (2010). Sciences and the global: on methods, questions, and theory. Isis, 101(1), 146-158. https://doi.org/10.1086/652694
  • Sivasundaram, Sujit (2010). A global history of science and religion. In Cantor, Geoffrey, Dixon, Thomas, Pumpfrey, Steve (Eds.), Science and Religion: New Historical Perspectives . Cambridge University Press.
  • International Relations
  • Schwartz, Stephanie, Rodehau-Noack, Johanna, Broache, M.P. (2024). Do ethics matter to researchers? Descriptive data on references to ethics in published research. London School of Economics and Political Science.
  • Soprana, Marta (14 February 2024) Book review: Is artificial intelligence racist? The ethics of AI and the future of humanity. LSE Review of Books. picture_as_pdf
  • Stroikos, Dimitrios (2017). Engineering world society? Scientists, internationalism, and the advent of the Space Age. International Politics, https://doi.org/10.1057/s41311-017-0070-8
  • LSE
  • Novas, Carlos, Gibbons, Stephen (Eds.) (2007). Genetics, biosociality and the social sciences: making biologies and identities. Routledge.
  • Calhoun, Craig (Ed.) (2010). Robert K. Merton: sociology of science and sociology as science. Columbia University Press.
  • ScoPE (2007-06-01) Scientific experts and new forms of citizen participation [Paper]. Science and democracy network, Cambridge, United Kingdom, GBR.
  • Adlam, Emily (2023). Are entropy bounds epistemic? Philosophy of Physics, 1(1). https://doi.org/10.31389/pop.44 picture_as_pdf
  • Adlam, Emily, Rovelli, Carlo (2023). Information is physical: cross-perspective links in relational quantum mechanics. Philosophy of Physics, 1(1). https://doi.org/10.31389/pop.8 picture_as_pdf
  • Aguado López, Eduardo, Becerril García, Arianna (21 January 2020) El antiguo ecosistema de acceso abierto de América Latina podría ser quebrantado por las propuestas del Norte Global. LSE Latin America and Caribbean Blog. picture_as_pdf
  • Aitken, Mhairi, Leslie, David, Ostmann, Florian, Pratt, Jacob, Margetts, Helen, Dorobantu, Cosmina (2022). Common regulatory capacity for AI. Alan Turing Institute. https://doi.org/10.5281/zenodo.6838946 picture_as_pdf
  • Aldrich, Howard (2016). Write as if you don’t have the data: the benefits of a free-writing phase.
  • Ansoms, An (26 August 2020) Living with the psychological burden of academic research. Africa at LSE. picture_as_pdf
  • Barnes, Ralph M., Johnston, Heather M., MacKenzie, Noah, Tobin, Stephanie J., Taglang, Chelsea M. (2018). Ad hominem attacks on scientists are just as likely to undermine public faith in research as legitimate empirical critiques.
  • Batarseh., Feras A. (20 September 2017) Thoughts on the future of human knowledge and machine intelligence. LSE Business Review. picture_as_pdf
  • Batarseh., Feras A. (2018). Why an open mind on open science could reshape human knowledge.
  • Beer, David, Chubb, Jennifer (24 February 2022) tl;dr – AI and the acceleration of research communication. Impact of Social Sciences Blog. picture_as_pdf
  • Benneworth, Paul (2013). Book review: Loan sharks: the rise and rise of paydaylending.
  • Benneworth, Paul, Olmos Peñuela, Julia (27 January 2020) Future impact - how can we rationally evaluate impact statements? Impact of Social Sciences Blog. picture_as_pdf
  • Bide, Austin (1993). The influence of science and technology versus social progress. (Discussion papers DP1). Centre for the Study of Global Governance, London School of Economics and Political Science.
  • Borkiewicz, Kalina, Jensen, Eric, Levy, Stuart, Naiman, Jill P. (16 March 2022) Introducing cinematic scientific visualization: a new frontier in science communication. Impact of Social Sciences Blog. picture_as_pdf
  • Boswell, Christina (27 August 2021) COVID-19 has increased trust in science can it do the same for the social sciences? Impact of Social Sciences Blog. picture_as_pdf
  • Braun, Kathrin, Schultz, Susanne (2009). " ... a certain amount of engineering involved": constructing the public in participatory governance arrangements. Public Understanding of Science, 19(4), 403-419. https://doi.org/10.1177/0963662509347814
  • Breckon, Jonathan, Sutherland, Alex (21 January 2020) Beyond Randomised Controlled Trials - expanding the horizon for experimental research techniques in the social sciences. Impact of Social Sciences Blog. picture_as_pdf
  • Brom, Frans (13 January 2020) For the humanities to play a stronger role in public policy making, they must move from individual to institutional engagement. Impact of Social Sciences Blog. picture_as_pdf
  • Brown, Sally (2013). Book review: doing qualitative research: a practical handbook.
  • Buhagiar, Lawrence (2013). Book review: The science of evaluation: a realist manifesto.
  • Burchell, Kevin (2007). Boundary work, associative argumentation and switching in the advocacy of agricultural biotechnology. Science as Culture, 16(1), 49-70. https://doi.org/10.1080/09505430601180862
  • Burchell, Kevin (2007). Empiricist selves and contingent 'others': the performative function of the discourse of scientists working in conditions of controversy. Public Understanding of Science, 16(2), 145-162. https://doi.org/10.1177/0963662507060587
  • Burchell, Kevin (2007-03-01) Expert rationalities of GM: non-GM equivalents, similar risks and different capabilities [Paper]. Risk and Rationalities, Cambridge, United Kingdom, GBR.
  • Burchell, Kevin (1998). Fractured environments: diversity and conflict in perceptions of environmental risks. (Research papers in environmental and spatial analysis 52). London School of Economics and Political Science.
  • Burchell, Kevin (2007-07-01) Governing the relationships between experts, people and policy: comparing 'science policy' and 'environmental policy' [Paper]. Water, environment and society, Sheffield, United Kingdom, GBR.
  • Burchell, Kevin (2006-05-20) Summary of plenary session [Other]. Science and the public postgraduate conference 2006: interdisciplinary approaches, London, United Kingdom, GBR.
  • Burchell, Kevin (2002-10-01) Talking to scientists about science and policy: a case study with crop geneticists [Paper]. London Public Understanding of Science Seminar Series, London, United Kingdom, GBR.
  • Burchell, Kevin (2005-03-01) The politicisation of public understanding of scieince [Paper]. London PUS Seminar Series, London, United Kingdom, GBR.
  • Burchell, Kevin (2006-06-04 - 2006-06-07) The response of scientists to deliberative public engagement: a UK perspective [Paper]. Participatory approaches to science and technology (PATH), Edinburgh, United Kingdom, GBR.
  • Burchell, Kevin, Davies, Sarah (2007-04-12 - 2007-04-14) Public dialogue on science and technology as a new social space for democracy: two UK case studies [Paper]. British Sociological Association conference, London, United Kingdom, GBR.
  • Busso, Matteo, Bontempelli, Andrea, Malcotti, Leonardo Javier, Meegahapola, Lakmal, Kun, Peter, Diwakar, Shyam, Nutakki, Chaitanya, Britez, Marcelo Dario Rodas, Xu, Hao & Song, Donglei et al (2025). DiversityOne: a multi-country smartphone sensor dataset for everyday life behavior modeling. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 9(1). https://doi.org/10.1145/3712289 picture_as_pdf
  • Calhoun, Craig (2004). Accidental wisdom: Robert Merton's serendipitous findings. Book Forum, Summer,
  • Calhoun, Craig (1988). Book review: the limits of concept formation in natural science: a logical introduction to the historical sciences by Heinrich Rickert; Guy Oakes. Contemporary Sociology, 17(2), 232-233.
  • Calhoun, Craig (2010). On Merton's legacy and contemporary sociology. In Calhoun, Craig (Ed.), Robert K. Merton: Sociology of Science and Sociology as Science (pp. 1-31). Columbia University Press.
  • Cerrato, Simona (2018). The new, younger generation of scientists is much more open to dialogue with society. picture_as_pdf
  • Chassonnery-Zaïgouche, Cléo (2018). Book review: a lab of one's own: science and suffrage in the First World War by Patricia Fara.
  • Chavarro, Diego, Ràfols, Ismael (2017). Journal-based research assessments marginalise regions like Latin America and the issues most relevant to them.
  • Chen, Lu, Read, James (2023). Is the metric signature really electromagnetic in origin? Philosophy of Physics, 1(1). https://doi.org/10.31389/pop.45 picture_as_pdf
  • Chubb, Jennifer, Buse Çetin, Raziye (25 July 2022) We need better AI imagery for better science communication. Impact of Social Sciences Blog. picture_as_pdf
  • Cirhuza, Elisée, Bahati, Irène, Précieux, Thamani, Ansoms, An (11 June 2020) Examining the contracts and lived experiences of local researchers in the global South. Africa at LSE. picture_as_pdf
  • Clemens, Anna (2018). Writing a page-turner: how to tell a story in your scientific paper.
  • Cox, Annica (3 May 2020) Coin of the realm – graduate student lore and faculty advice on research and publication, a video intervention. Impact of Social Sciences Blog. picture_as_pdf
  • Cvitanovic, Chris (2015). Amid mounting political and social uncertainty, institutions must evolve to support evidence-based decision-making.
  • Cvitanovic, Chris (2018). Dedicated boundary-spanners can support a more effective relationship between science and policy.
  • Czerniewicz, Laura (2013). Inequitable power dynamics of global knowledge production and exchange must be confronted head on.
  • Daramus, Iancu (7 September 2022) Book review: How the world really works: a scientist’s guide to our past, present and future by Vaclav Smil. LSE Review of Books. picture_as_pdf
  • Dearborn, Donald C., Warren, Sophie, Hailer, Frank (2022). Meta-analysis of major histocompatibility complex (MHC) class IIA reveals polymorphism and positive selection in many vertebrate species. Molecular Ecology, 31(24), 6390 - 6406. https://doi.org/10.1111/mec.16726 picture_as_pdf
  • Djupe, Paul A., McClurg, Scott D., Sokhey, Anand E. (2017). Exposure to discussion and disagreement does not discourage women from political participation any more than men.
  • Doran, Heather (2015). Planning your online engagement strategy? Don’t go it alone. Well-chosen partnerships can maximise reach and impact.
  • Fecher, Benedikt, Ross-Hellauer, Tony (2018). Tautology, antithesis, rallying cry, or business model? "Open science" is open to interpretation.
  • Fletcher, Samuel C., Owen Weatherall, James (2023). The local validity of special relativity, part 1: geometry. Philosophy of Physics, 1(1). https://doi.org/10.31389/pop.6 picture_as_pdf
  • Fletcher, Samuel C., Weatherall, James Owen (2023). The local validity of special relativity, part 2: matter dynamics. Philosophy of Physics, 1(1). https://doi.org/10.31389/pop.7 picture_as_pdf
  • Florensa, Clara, Hochadel, Oliver, Tabernero, Carlos (2015). Science on Television: Despite tensions, the potential of visual narrative and scientific storytelling is enormous.
  • Foxen, Sarah, Saint, Naomi, Webb, Laura (6 May 2020) How can researchers support Parliament in its scrutiny of the Government’s decisions and actions around the COVID-19 outbreak? Impact of Social Sciences Blog. picture_as_pdf
  • Foxen, Sarah, Saint, Naomi, Webb, Laura (9 May 2020) How can researchers support Parliament in its scrutiny of the UK’s response to COVID-19? British Politics and Policy at LSE. picture_as_pdf
  • Frazzetto, Giovanni (2009). Genetics of behaviour and psychiatric disorders: from the laboratory to society and back. Current Science, 97(11), 1555-1563.
  • Frazzetto, Giovanni (2005). Understanding consciousness: the race is on to understand consciousness, but it will take time to accommodate the cultural repercussions of this knowledge. EMBO Reports, 6(4), 303-306. https://doi.org/10.1038/sj.embor.7400384
  • Frazzetto, Giovanni (2004). The changing identity of the scientist: as science puts on a new face, the identity of its practitioners evolves accordingly. EMBO Reports, 5(1), 18-20. https://doi.org/10.1038/sj.embor.7400061
  • Frazzetto, Giovanni (2010). The science of online dating. EMBO Reports, 11(1), 25-27. https://doi.org/10.1038/embor.2009.264
  • Fricke, Haworth (1982). Two rival programmes in 19th. century classical electrodynamics action-at-a-distance versus field theories [Doctoral thesis]. London School of Economics and Political Science.
  • Gadd, Elizabeth (20 January 2020) CRediT check - should we welcome tools to differentiate the contributions made to academic papers? Impact of Social Sciences Blog. picture_as_pdf
  • Gains, Adrian, Rosenhead, Jonathan (1993). Problem structuring for medical quality assurance. (Operational Research working papers LSEOR 93.8). Department of Operational Research, London School of Economics and Political Science.
  • Galsworthy, Michael J., Davidson, Rob (2016). Brexit is damaging UK science already. Here is a plan to fix it.
  • Galsworthy, Michael J., Davidson, Rob (2015). Debunking the myths about British science after an EU exit.
  • Gandolfo, Andreas (2016). Hinkley Point C nuclear station: an expensive solution to a cheap problem.
  • Genovese, Taylor R. (2017). Book review: placing outer space: an earthly ethnography of other worlds by Lisa Messeri.
  • Gerber, Alexander, Jensen, Eric (27 May 2020) For science communication to be effective it should be evidence based. Impact of Social Sciences Blog. picture_as_pdf
  • Giannella, Eric (2015). Human intuition is essential to science: Why metrics will not improve scientific governance.
  • Gonçalves Curty, Renata, Crowston, Kevin, Specht, Alison, Grant, Bruce W., Dalton, Elizabeth D. (2018). What factors do scientists perceive as promoting or hindering scientific data reuse?
  • Goodwin, Mark (2014). Do we need more scientists in Parliament? They may not make any difference.
  • Gregory, Lee (2015). Book review: how outer space made America: geography, organisation and the cosmic sublime by Daniel Sage.
  • Greshake, Bastian (2017). A closer look at the Sci-Hub corpus: what is being downloaded and from where?
  • Haas, Astrid, Kriticos, Sebastian (26 November 2018) Data for decision-making: how spatial data is shaping the African urbanisation story. International Growth Centre Blog. picture_as_pdf
  • Haas, Marita, Koeszegi, Sabine Theresia, Zedlacher, Eva (2016). Women scientists differ in how they see the role of gender in their careers.
  • Harzing, Anne-Wil (27 May 2022) Disambiguating impact. Impact of Social Sciences Blog. picture_as_pdf
  • Heimstädt, Maximilian, Dobusch, Leonhard (10 January 2020) To address the rise of predatory publishing in the social sciences, journals need to experiment with open peer review. Impact of Social Sciences Blog. picture_as_pdf
  • Hey, Jonathan H. G., Joyce, Caneel K., Jennings, Kyle E., Kalil, Thomas, Grossman, Jeffrey C. (2009). Putting the discipline in interdisciplinary: using speedstorming to teach and initiate creative collaboration in nanoscience. Journal of Nano Education, 1(1), 75-85. https://doi.org/10.1166/jne.2009.012
  • Hoepner, Jacqui (2015). Who would want to live in a world made up entirely of scientists? Australia’s chief scientist calls for cooperation.
  • Howson, Colin (2017). How pseudo-hypotheses defeat a non-Bayesian theory of evidence: reply to Bandyopadhyay, Taper, and Brittan. International Studies in the Philosophy of Science, 30(3), 299-306. https://doi.org/10.1080/02698595.2017.1316111
  • Hussein, Hind (17 May 2020) Book review: the Scopus diaries and the (il)logics of academic survival by Abel Polese. Impact of Social Sciences Blog. picture_as_pdf
  • Jarvis, Rebecca (2014). Book review: Who’s asking? Native science, western science and science education by Douglas L. Medin and Megan Bang.
  • Jones, Ed (2017). Book review: anthropologists in the stock exchange: a financial history of Victorian science by Marc Flandreau.
  • Kalpokas, Ignas (19 January 2020) Book review: competitive accountability in academic life: the struggle for social impact and public legitimacy by Richard Watermeyer. Impact of Social Sciences Blog. picture_as_pdf
  • Kalpokas, Ignas (31 May 2020) Book review: creativity in research: cultivate clarity, be innovative and make progress in your research journey by Nicola Ulibarri et al. Impact of Social Sciences Blog. picture_as_pdf
  • Kara, Helen (2015). Book Review: Research justice: methodologies for social change edited by Andrew J. Jolivette.
  • Kennedy, Helen (4 May 2020) Simple data visualisations have become key to communicating about the COVID-19 pandemic, but we know little about their impact. Impact of Social Sciences Blog. picture_as_pdf
  • Kärrberg, Patrik (2013). Smartphones, platforms and business models: policies for the apps economy.
  • Laberge, Yves (2013). Book review: Peer review, research integrity, and the governance of science: practice, theory, and current discussions.
  • Landsman, Klaas (2023). Reopening the Hole Argument. Philosophy of Physics, 1(1). https://doi.org/10.31389/pop.12 picture_as_pdf
  • Lane, David C. (1998). Can we have confidence in generic structures? Journal of the Operational Research Society, 49(9), 936-947. https://doi.org/10.1057/palgrave.jors.2600605
  • Lane, David C. (2000). Diagramming conventions in system dynamics. Journal of the Operational Research Society, 51(2), 241-245.
  • Lane, David C. (1999). Friendly amendment: a commentary on Doyle and Ford's proposed re-definition of 'mental model'. System Dynamics Review, 15(2), 185-194. https://doi.org/10.1002/(SICI)1099-1727(199922)15:2<185::AID-SDR166>3.0.CO;2-C
  • Lane, David C. (1997). Industrial dynamics by Jay W. Forrester [Invited review and reappraisal]. Journal of the Operational Research Society, 48(10), 1037-1042. https://doi.org/10.1057/palgrave.jors.2600946
  • Lane, David C. (2006). It works in practice but does it work in theory?: comment on the paper by Vriens and Achterbergh. Systems Research and Behavioral Science, 23(4), 565-570. https://doi.org/10.1002/sres.783
  • Lane, David C. (2004). Rational agents or accomplished social actors? Systems Research and Behavioral Science, 21(4), 433-438. https://doi.org/10.1002/sres.650
  • Lane, David C. (2001). Rerum cognoscere causas: part I - How do the ideas of system dynamics relate to traditional social theories and the voluntarism/determinism debate? System Dynamics Review, 17(2), 97-118. https://doi.org/10.1002/sdr.209
  • Lane, David C. (2001). Rerum cognoscere causas: part II - opportunities generated by the agency/structure debate and suggestions for clarifying the social theoretic position of system dynamics. System Dynamics Review, 17(4), 293-309. https://doi.org/10.1002/sdr.221
  • Lane, David C. (2000). Should system dynamics be described as a 'hard' or 'deterministic' systems approach? Systems Research and Behavioral Science, 17(1), 3-22. https://doi.org/10.1002/(SICI)1099-1743(200001/02)17:1<3::AID-SRES344>3.0.CO;2-7
  • Lane, David C. (1999). Social theory and system dynamics practice. European Journal of Operational Research, 113(3), 501-527. https://doi.org/10.1016/S0377-2217(98)00192-1
  • Lane, David C. (1995). Trying to think systematically about 'systems thinking'. Journal of the Operational Research Society, 46(9), 1158-1162. https://doi.org/10.1057/jors.1995.163
  • Lane, David C. (2008). The emergence and use of diagramming in system dynamics: a critical account. Systems Research and Behavioral Science, 25(1), 3-23. https://doi.org/10.1002/sres.826
  • Lane, David C., Husemann, Elke (2004). Movie marketing strategy formation with system dynamics: towards a multidisciplinary adoption/diffusion theory of cinema-going. In Maier, F. (Ed.), Komplexität und Dynamik Als Herausforderung Für Das Management (pp. 179-222). DUV.
  • Lane, David C., Husemann, Elke (2002). Steering away from Scylla, falling into Charybdis: the importance of recognising, simulating and challenging reinforcing loops in social systems. In Milling, P.M. (Ed.), Entscheiden in Komplexen Systemen (pp. 27-68). Duncker und Humblot GmbH.
  • Lane, David C., Monefeldt, Camilla, Husemann, Elke (2003). Client involvement in simulation model building: hints and insights from a case study in a London hospital. Health Care Management Science, 6(2), 105-116.
  • Lane, David C., Murray, James Dickson, Manoranjan, V. S. (1987). Analysis of wave phenomena in a morphogenetic mechanochemical model and an application to post-fertilization waves on eggs. IMA Journal of Mathematics Applied in Medicine and Biology, 4, 309-331. https://doi.org/10.1093/imammb/4.4.309
  • Lane, David C., Olivia, Rogelio (1998). The greater whole: towards a synthesis of system dynamics and soft systems methodology. European Journal of Operational Research, 107(1), 214-235. https://doi.org/10.1016/S0377-2217(97)00205-1
  • Lane, David C., Smart, Chris (1996). Reinterpreting 'generic structure': evolution, application and limitations of a concept. System Dynamics Review, 12(2), 87-120. https://doi.org/10.1002/(SICI)1099-1727(199622)12:2<87::AID-SDR98>3.0.CO;2-S
  • Lazanski, Dominique (2013). Internet governance: the latest in the debate over who controls the internet.
  • Lee, Jia Hui (2015). Book review: The upright thinkers: the human journey from living in trees to understanding the cosmos by Leonard Mlodinow.
  • Lentzos, Filippa (2006). Codes of conduct as a tool for managing biorisks. Nonproliferation Review, 13(2), 211-226.
  • Lentzos, Filippa (2008). Countering misuse of life sciences through regulatory multiplicity. Science and Public Policy, 35(1), 55-64. https://doi.org/10.3152/030234208X270496
  • Lezaun, Javier, Millo, Yuval (2006). Regulatory experiments: genetically modified crops and financial derivatives on trial. Science and Public Policy, 33(3), 179-190. https://doi.org/10.3152/147154306781779046
  • Liebenau, Jonathan, Khiaonarong, Tanai (1997). Information technology promotion in Thailand: constraints and challenges. Science and Public Policy, 24(4), 273-280.
  • Linke, Vera (10 January 2022) Book review: Model cases: on canonical research objects and sites by Monika Krause. LSE Review of Books. picture_as_pdf
  • Lombardi, Olimpia (2024). Pluralist realism: where onticity and practice meet. In Mets, Ave, Lõhkivi, Endla, Müürsepp, Peeter, Eigi-Watkin, Jaana (Eds.), Practical Realist Philosophy of Science: Reflecting on Rein Vihalemm’s Ideas (pp. 93 - 120). Lexington Books.
  • Lozano, George (2013). Registered Reports: a new publishing initiative aimed at countering publication bias.
  • Marples, Alice (2013). Book Review: Wicked intelligence: visual art and the science of experiment in Restoration London.
  • Mason, Susan (2017). Science is simply one element out of many in public policy decision making.
  • McClennen, Edward (2002). Bayesianism and independence. In Corfield, David, Williamson, Jon (Eds.), Foundations of Bayesianism (pp. 291-308). Kluwer Academic Publishers.
  • McCloskey, Alastair (2018). r/ip: why science communicators should mourn the loss of reddit's Ask Me Anything series. picture_as_pdf
  • McLeod, Ben (2015). The right academic partner can help smaller enterprises bring innovation to market.
  • Meier, Ninna (2016). The materiality of research: ‘thinking and writing in time and space’ by Ninna Meier.
  • Miller, Jennifer (2013). Book review: Inventing the egghead: the battle over brainpower in American culture.
  • Miller, Jennifer (2013). Book review: Lives in science: how institutions affect academic careers.
  • Mollett, Amy, Brumley, Cheryl, Gilson, Christopher, Williams, Sierra (2017). Science communication and social media: from iconic NASA moon landings to Instagramming astronauts.
  • Morecroft, John D. W., Lane, David C., Viita, Paul S. (1991). Modeling growth strategy in a biotechnology startup firm. System Dynamics Review, 7(2), 93-116. https://doi.org/10.1002/sdr.4260070202
  • Mozota Frauca, Álvaro (2023). Geometrogenesis in GFT: an analysis. Philosophy of Physics, 1(1). https://doi.org/10.31389/pop.29 picture_as_pdf
  • Muchukiwa, Bosco (24 June 2020) Surviving life-threatening intimidation as a researcher. Africa at LSE. picture_as_pdf
  • Mukharya, Prerna (6 May 2020) Data collection, research and evaluation services across India during COVID-19. South Asia @ LSE. picture_as_pdf
  • Musamba Bussy, Josaphat, Vogel, Christoph (4 May 2020) Addressing power imbalances in collaborative research. Africa at LSE. picture_as_pdf
  • Myrvold, Wayne C., Norton, John D. (2023). On Norton’s “…Shook…” and Myrvold’s “Shakin’…”. Philosophy of Physics, 1(1). https://doi.org/10.31389/pop.81 picture_as_pdf
  • Norström, Albert, Cvitanovic, Chris, Löf, Marie, West, Simon, Wyborn, Carina (22 January 2020) Four principles for practising and evaluating co-production - a view from sustainability research. Impact of Social Sciences Blog. picture_as_pdf
  • Ochu, Erinma (2014). Citizen social science deepens the human and relational aspects of the social scientific method.
  • Ostmann, Florian, Dorobantu, Cosmina (2021). AI in financial services. Alan Turing Institute. https://doi.org/10.5281/zenodo.4916041 picture_as_pdf
  • Ou, Yifan, Gong, Chen, Sun, Feifei, Tan, Cheng, Zhang, Haoran, Zhang, Mengyang (2025). Analyzing user behavior in online communities using data crawling and machine learning algorithms. Proceedings of SPIE - The International Society for Optical Engineering, 13629, https://doi.org/10.1117/12.3067933
  • Pain, Rachel, Raynor, Ruth (2016). “A soup of different inspirations”: co-produced research and recognising impact as a process, not an outcome.
  • Polonski, Vyacheslav (2016). The next decade of data science: rethinking key challenges faced by big data researchers.
  • Prins, Gwyn (2011). Climate change: beyond kyoto. Nature, 474(7353), 576-577. https://doi.org/10.1038/474576a
  • Ren, Zecheng, Yu, Zengnan, Zhang, Wenyi, Lei, Qujiang (2024). Streamlining industrial robot maintenance: an intelligent voice query approach for enhanced efficiency. IEEE Access, 12, 121864 - 121881. https://doi.org/10.1109/ACCESS.2024.3452269 picture_as_pdf
  • Rooryck, Johan (30 January 2020) La iniciativa para el acceso abierto Plan S genera más oportunidades que amenazas para Latinoamérica. LSE Latin America and Caribbean Blog. picture_as_pdf
  • Rooryck, Johan (3 December 2019) The Plan S open access initiative creates more opportunities than threats for Latin America. LSE Latin America and Caribbean Blog. picture_as_pdf
  • Rose, David, Burgman, Mark, Sutherland, William (28 January 2020) The civil service doesn't just need more scientists - it needs a decision-making revolution. Impact of Social Sciences Blog. picture_as_pdf
  • Rose, David, Jarvis, Rebecca (19 May 2020) 10 ways scientists can better engage with decision makers. Impact of Social Sciences Blog. picture_as_pdf
  • Rosenhead, Jonathan (1998). Complexity theory and management practice. (Operational Research working papers LSEOR 98.25). Department of Operational Research, London School of Economics and Political Science.
  • Ross-Hellauer, Tony (2017). OpenAIRE can form the basis for a truly public European Open Access Platform.
  • Ruetsche, Laura (2023). UnBorn: probability in Bohmian mechanics. Philosophy of Physics, 1(1). https://doi.org/10.31389/pop.24 picture_as_pdf
  • Röseler, Lukas, Kaiser, Leonard, Doetsch, Christopher, Klett, Noah, Seida, Christian, Schütz, Astrid, Aczel, Balazs, Adelina, Nadia, Agostini, Valeria & Alarie, Samuel et al (2024). The replication database: documenting the replicability of psychological science. Journal of Open Psychology Data, 12, https://doi.org/10.5334/jopd.101 picture_as_pdf
  • Saunders, Manu (2018). Science community blogs: recognising value and measuring reach.
  • Scalvini, Marco (2012). Book review: democracy and public space: the physical sites of democratic performance.
  • Seran, Justine (2015). Book review: who’s afraid of academic freedom? Edited by Akeel Bilgrami and Jonathan R. Cole.
  • Sharman, Amelia (2014). Book review: can science fix climate change? by Mike Hulme.
  • Siler, Kyle (13 May 2020) There is no black and white definition of predatory publishing. Impact of Social Sciences Blog. picture_as_pdf
  • Smith, Thomas E.L., Schulte, Jonathan T. (2024). Engaging undergraduate students in citizen science: measuring air pollution as a pedagogical approach. In Garnham, Wendy, Oprandi, Paolo (Eds.), Outdoor Learning in Higher Education: Educating beyond the Seminar Room (pp. 150 - 160). Routledge. https://doi.org/10.4324/9781003436928-22
  • Spichtinger, Daniel (17 January 2020) Not yet the default setting - in 2020 open research remains a work in progress. Impact of Social Sciences Blog. picture_as_pdf
  • Srivastava, Divya, Scarbrough, Harry, Stavropoulou, Charitini (2020). Current regulatory challenges to support the spread of digital health technologies: CHIR Report. (CHIR Reports). Centre for Healthcare Innovation Research, City, University of London.
  • Stewart, Bonnie (2016). Q+A with Bonnie Stewart: “we are part of a society and an academy where the personal/professional divide is blurring”.
  • Stewart, Ruth, Dayal, Harsha, Langer, Laurenz, van Rooyen, Carina (14 January 2020) To improve the global evidence ecosystem we need to listen to the Global South. Impact of Social Sciences Blog. picture_as_pdf
  • Struyve, Ward (2023). Scope of the action principle. Philosophy of Physics, 1(1). https://doi.org/10.31389/pop.28 picture_as_pdf
  • Thompson, Beth (2016). Data protection: how medical researchers persuaded the European Parliament to compromise.
  • Thorlund, Kristian, Duffield, Stephen, Popat, Sanjay, Ramagopalan, Sreeram, Gupta, Alind, Hsu, Grace, Arora, Paul, Subbiah, Vivek (2024). Quantitative bias analysis for external control arms using real-world data in clinical trials: a primer for clinical researchers. Journal of Comparative Effectiveness Research, 13(3). https://doi.org/10.57264/cer-2023-0147 picture_as_pdf
  • Tiokhin, Leo, Panchanathan, Karthik, Smaldino, Paul, Lakens, Daniël (3 August 2021) Why indirect contributions matter for science and scientists (i). Impact of Social Sciences Blog. picture_as_pdf
  • Tiokhin, Leo, Panchanathan, Karthik, Smaldino, Paul, Lakens, Daniël (4 August 2021) Why indirect contributions matter for science and scientists (ii). Impact of Social Sciences Blog. picture_as_pdf
  • Wang, Jingying (28 October 2022) Book review: Where research begins: choosing a research project that matters to you (and the world) by Thomas S. Mullaney and Christopher Rea. LSE Review of Books. picture_as_pdf
  • Watermeyer, Richard (31 January 2020) Impact 'agenda' or impact 'phantom'? Impact of Social Sciences Blog. picture_as_pdf
  • Zhang, Joy Yueyue (2010). Le cosmopolitisme de la science émerge-t-il en Chine? Etudes Internationales, 41(4), 571-595. https://doi.org/10.7202/045563ar
  • Zhang, Joy Yueyue (2012). The cosmopolitanization of science: stem cell governance in China. Palgrave Macmillan.
  • Zhang, Joy Yueyue (2010). The organization of scientists and its relation to scientific productivity: perceptions of Chinese stem cell researchers. Biosocieties, 5(2), 219-235. https://doi.org/10.1057/biosoc.2010.3
  • de Jong, Stefan, Bernstein, Michael J., Meijer, Ingeborg (23 May 2022) Simplifying responsible research and innovation – a tool building in societal readiness into research. Impact of Social Sciences Blog. picture_as_pdf
  • LSE - Fudan Research Centre
  • Liu, Meijun, Hu, Xiao (2022). Movers' advantages: the effect of mobility on scientists' productivity and collaboration. Journal of Informetrics, 16(3). https://doi.org/10.1016/j.joi.2022.101311
  • Yang, Alex J., Xu, Huimin, Ding, Ying, Liu, Meijun (2024). Unveiling the dynamics of team age structure and its impact on scientific innovation. Scientometrics, 129(10), 6127 - 6148. https://doi.org/10.1007/s11192-024-04987-4
  • LSE Cities
  • Gomes, Alexandra (2025-06-16 - 2025-07-03) How can data help us to understand and address complex problems? [Poster]. Visions for the Future: LSE Festival exhibition, London School of Economics and Political Science, London, United Kingdom, GBR. picture_as_pdf
  • LSE Health
  • Cooper, Zachary N., Nelson, Robert M., Friedman Ross, Lainie (2004). Certificates of confidentiality in research: rationale and usage. Genetic Testing, 8(2), 214-220. https://doi.org/10.1089/gte.2004.8.214
  • Dietz, Simon, Morton, Alec (2011). Strategic appraisal of environmental risks: a contrast between the United Kingdom's Stern Review on the Economics of Climate Change and its Committee on Radioactive Waste Management. Risk Analysis, 31(1), 129-142. https://doi.org/10.1111/j.1539-6924.2010.01484.x
  • Falconi, Mattia, Oteri, Francesco, Chillemi, Giovanni, Andersen, Felicie F., Tordrup, David, Oliveira, Cristiano L. P., Pedersen, Jan S., Knudsen, Birgitta R., Desideri, Alessandro (2009). Deciphering the structural properties that confer stability to a DNA nanocage. Acs Nano, 3(7), 1813-1822.
  • García-Goñi, M, Hernandez-Quevedo, Christina, Nuño-Solinís, Roberto, Paolucci, Francesco (2012). Verso sistemi sanitari orientati alle patologie croniche: il caso spagnolo. Politiche sanitarie, 13(3), 160-171. https://doi.org/10.1706/1184.13101
  • Hnat, B., Chapman, S. C., Watkins, N. W. (2021). Magnetic topology of actively evolving and passively convecting structures in the turbulent solar wind. Physical Review Letters, 126(12). https://doi.org/10.1103/PhysRevLett.126.125101 picture_as_pdf
  • Jahanshahi, Hadi, Bekiros, Stelios (2023). EDITORIAL. Fractals, 31(6). https://doi.org/10.1142/S0218348X23020024 picture_as_pdf
  • Mladovsky, Philipa, Mossialos, Elias, McKee, Martin (2008). Improving access to research data in Europe. British Medical Journal, 336(7639), 287-288. https://doi.org/10.1136/bmj.39409.633576.BE
  • Morton, Alec, Bird, D., Jones, A., White, M. (2011). Decision conferencing for science prioritisation in the UK public sector: a dual case study. Journal of the Operational Research Society, 62(1), 50-59. https://doi.org/10.1057/jors.2009.184
  • Mossialos, Elias, Simpkin, Victoria L., Keown, Oliver, Darzi, Ara (2016). Staff, drugs, research, TTIP, patients: how would Brexit affect the NHS?
  • Naci, Huseyin, Cooper, Jacob, Mossialos, Elias (2015). Timely publication and sharing of trial data: opportunities and challenges for comparative effectiveness research in cardiovascular disease. European Heart Journal - Quality of Care and Clinical Outcomes, https://doi.org/10.1093/ehjqcco/qcv012
  • Novick, Diego, Haro, Josep Maria, Hong, Jihyung, Brugnoli, Roberto, Lepine, Jean Pierre, Bertsch, Jordan, Karagianis, Jamie, Dossenbach, Martin, Alvarez, Enric (2012). Regional differences in treatment response and three year course of schizophrenia across the world. Journal of Psychiatric Research, 46(7), 856-864. https://doi.org/10.1016/j.jpsychires.2012.03.017
  • Ouédraogo, Samiratou, Gautier, Lara, Mac-Seing, Muriel, Tine, Stella, Perez, Myriam Cielo, Kadio, Kadidiatou, Chegno, Rolande, Jones, Catherine M. (2019). De-patriarchalising and levelling science for French-speaking women. The Lancet, 393(10171), e23-e24. https://doi.org/10.1016/S0140-6736(18)32092-0
  • Strong, Joe (2020). Reflections on using a scoping trip as part of a PhD research project in sexual and reproductive health, Ghana. SAGE Research Methods Cases, https://doi.org/10.4135/9781529710724
  • LSE IDEAS
  • Coker, Christopher (2023). Thinking about the future of war. In Gruszczak, Artur, Kaempf, Sebastian (Eds.), Routledge Handbook of the Future of Warfare (pp. 31 - 40). Routledge. https://doi.org/10.4324/9781003299011-5
  • Marrinan, Shanna, Roman-Urrestarazu, Andres, Naughton, Declan, Levari, Ermelinda, Collins, John, Chilcott, Robert, Bersani, Giuseppe, Corazza, Ornella (2017). Hair analysis for the detection of drug use – is there potential for evasion? Human Psychopharmacology: Clinical and Experimental, 32(3), e2587. https://doi.org/10.1002/hup.2587
  • Law School
  • Black, Julia, Murray, Andrew D. (2019). Regulating AI and machine learning: setting the regulatory agenda. European Journal of Law and Technology, 10(3). picture_as_pdf
  • Franklin, Sarah, Jackson, Emily (2024). The 14 day rule and human embryo research: a sociology of biological translation. Routledge. https://doi.org/10.4324/9781003294108
  • Sinclair, Alexandra Joan (2025). The application of judicial review doctrines to automated administration in the United Kingdom [Doctoral thesis]. London School of Economics and Political Science. https://doi.org/10.21953/lse.00004880 picture_as_pdf
  • Szafranski, Mikolaj (25 February 2022) Book review: Politics and expertise: how to use science in a democratic society by Zeynep Pamuk. LSE Review of Books. picture_as_pdf
  • Szafranski, Mikolaj (27 February 2022) Book review: Politics and expertise: how to use science in a democratic society by Zeynep Pamuk. USApp – American Politics and Policy Blog. picture_as_pdf
  • Thambisetty, Sivaramjani (2014). Learning needs in the patent system and emerging technologies: a focus on synthetic biology. Intellectual Property Quarterly, (1), 13-39.
  • Uberti, Francesca (2022). Vaccine opposition in the information age: a study on online activism and DIY citizenship [Doctoral thesis]. London School of Economics and Political Science. https://doi.org/10.21953/lse.00004548
  • Management
  • Hawaii International Conference on System Sciences (2013). Platform complexity: lessons from the music industry. Default journal, 4625-4634.
  • Angell, Ian, Demetis, Dionysios (2010). Science's first mistake: delusions in pursuit of theory. Bloomsbury Academic.
  • Bana e Costa, Carlos A., Chagas, Manuel P. (2004). A career choice problem: an example of how to use MACBETH to build a quantitative value model based on qualitative value judgements. European Journal of Operational Research, 153(2), 323-331. https://doi.org/10.1016/S0377-2217(03)00155-3
  • Bana e Costa, Carlos A., Corrêa, Emerson C., De Corte, Jean-Marie, Vansnick, Jean-Claude (2002). Facilitating bid evaluation in public call for tenders: a socio-technical approach. Omega, 30(3), 227-242. https://doi.org/10.1016/S0305-0483(02)00029-4
  • Bana e Costa, Carlos A., Oliveira, Rui Carvalho (2002). Assigning priorities for maintenance, repair and refurbishment in managing a municipal housing stock. European Journal of Operational Research, 138(2), 380-391. https://doi.org/10.1016/S0377-2217(01)00253-3
  • Bazu, Amithabh, Campelo, Manoel B., Conforti, Michele, Cornuéjols, Gérard, Zambelli, Giacomo (2010). On lifting integer variables in minimal inequalities. In Eisenbrand, Friedrich, Shepherd, Bruce (Eds.), Integer Programming and Combinatorial Optimization (pp. 85-95). Springer Berlin / Heidelberg.
  • Beck, Roman, Tarafdar, Monideepa, Cheng, Aaron, King, John L., Niederman, Fred (2025). Going beyond "our research also has policy implications...". Journal of the Association for Information Systems, 26(6), 1547 - 1558. https://doi.org/10.17705/1jais.00976
  • Brailsford, Sally C., Lane, David C. (2004). From the oceans, from the stars: the SD+ stream at OR46. OR Newsletter, 2004(Octobe).
  • Conforti, Michele, Cornuéjols, Gérard, Zambelli, Giacomo (2010). Equivalence between intersection cuts and the corner polyhedron. Operations Research Letters, 38(3), 153-155. https://doi.org/10.1016/j.orl.2010.02.006
  • Conforti, Michele, Gerards, Bert, Zambelli, Giacomo (2007). Mixed-integer vertex covers on bipartite graphs. In Fischetti, Matteo, Williamson, David .P. (Eds.), Integer Programming and Combinatorial Optimization (pp. 324-336). Springer Berlin / Heidelberg. https://doi.org/10.1007/978-3-540-72792-7_25
  • Conforti, Michele, Zambelli, Giacomo (2009). The mixing set with divisible capacities: a simple approach. Operations Research Letters, 37(6), 379-383. https://doi.org/10.1016/j.orl.2009.07.001
  • Cox, Joe, Oh, Eun Young, Simmons, B., Graham, G., Greenhill, A., Lintott, C., Masters, K., Woodcock, Jamie (2018). Doing good online: the changing relationships between motivations, activity and retention among online volunteers. Nonprofit and Voluntary Sector Quarterly, https://doi.org/10.1177/0899764018783066
  • Dietz, Simon, Morton, Alec (2011). Strategic appraisal of environmental risks: a contrast between the United Kingdom's Stern Review on the Economics of Climate Change and its Committee on Radioactive Waste Management. Risk Analysis, 31(1), 129-142. https://doi.org/10.1111/j.1539-6924.2010.01484.x
  • Elaluf-Calderwood, Silvia, Liebenau, Jonathan (2013). Convergence of computing science, networks and the law: reflections from the workshop at UPenn Law.
  • Frege, Carola (2002). Scientific knowledge production in the United States and Germany: the case of industrial relations research. Comparative Labor Law and Policy Journal, 23(3), 865-893.
  • Howard, J. V., Timmer, Marco (2013). New results on rendezvous search on the interval. Naval Research Logistics, 60(6), 454-467. https://doi.org/10.1002/nav.21544
  • Iaria, Alessandro, Schwarz, Carlo, Waldinger, Fabian (2018). Frontier knowledge and scientific production: evidence from the collapse of international science. Quarterly Journal of Economics, 133(2), 927 - 991. https://doi.org/10.1093/qje/qjx046
  • Kanazawa, Satoshi (2000). Scientific discoveries as cultural displays: a further test of Miller's courtship model. Evolution and Human Behavior, 21(5), 317-321. https://doi.org/10.1016/S1090-5138(00)00051-9
  • Kanazawa, Satoshi (2004). Social sciences are branches of biology. Socio-Economic Review, 2(3), 371-390. https://doi.org/10.1093/soceco/2.3.371
  • Kanazawa, Satoshi, Novak, Deanna L. (2005). Human sexual dimorphism in size may be triggered by environmental cues. Journal of Biosocial Science, 37(5), 657-665. https://doi.org/10.1017/S0021932004007047
  • Kanazawa, Satoshi, Still, Mary (2000). Parental investment as a game of chicken. Politics and the Life Sciences, 19(1), 17-26.
  • Kaye, Jane, Whitley, Edgar A., Lund, David, Morrison, Michael, Teare, Harriet, Melham, Karen (2015). Dynamic consent: a patient interface for twenty-first century research networks. European Journal of Human Genetics, 23(2), 141-146. https://doi.org/10.1038/ejhg.2014.71
  • Kireyev, Pavel, Vitorino, Maria Ana (2025). User preferences for large language model refusals: implications for moderation and market structure. London School of Economics and Political Science.
  • Kirtac, Kemal, Germano, Guido (2024). Sentiment trading with large language models. Finance Research Letters, 62(Part B), p. 105227. https://doi.org/10.1016/j.frl.2024.105227 picture_as_pdf
  • Kolios, Panayiotis, Friderikos, Vasilis, Papadaki, Katerina (2010). Look-ahead strategies based on store-carry and forward relaying for energy efficient cellular communications. Future Internet, 2(4), 587-602. https://doi.org/10.3390/fi2040587
  • Lane, David C. (2008). LSE meeting marks 50th anniversary of system dynamics modelling. OR Insight, (April,),
  • Lane, David C. (1999). System dynamics modelling of patient flows through acute hospitals. NHS Executive.
  • Lane, David C., Größler, Andreas, Milling, Peter M. (2004). Rationality in system dynamics.[Special edition, edited by D.C. Lane, Andreas Größler and Peter M. Milling]. Systems Research and Behavioral Science, 21(4).
  • Lane, David C., Husemann, E. (2008). System dynamics mapping of acute patient flows (special issue on government OR). Journal of the Operational Research Society, 59(2), 213-224. https://doi.org/10.1057/palgrave.jors.2602498
  • Montibeller, Gilberto, Franco, L. Alberto (2011). Raising the bar: strategic multi-criteria decision analysis. Journal of the Operational Research Society, 62(5), 855-867. https://doi.org/10.1057/jors.2009.178
  • Morton, Alec, Bird, D., Jones, A., White, M. (2011). Decision conferencing for science prioritisation in the UK public sector: a dual case study. Journal of the Operational Research Society, 62(1), 50-59. https://doi.org/10.1057/jors.2009.184
  • Open Science Collaboration, Kappes, Heather Barry (2014). The Reproducibility Project: a model of large-scale collaboration for empirical research on reproducibility. In Stodden, Victoria, Leisch, Friedrich, Peng, Roger D. (Eds.), Implementing Reproducible Research (pp. 299-324). CRC Press.
  • Palacios-Huerta, Ignacio, Volij, Oscar (2014). Axiomatic measures of intellectual influence. International Journal of Industrial Organization, 34, 85-90. https://doi.org/10.1016/j.ijindorg.2014.02.011
  • Papadaki, Katerina P., Powell, Warren B. (2002). Expoiting structure in adaptive dynamic programming algorithms for a stochastic batch service problem. European Journal of Operational Research, 142(1), 108-127. https://doi.org/10.1016/S0377-2217(01)00297-1
  • Pils, Raimund, Schoenegger, Philipp (2024). Scientific realism, scientific practice, and science communication: an empirical investigation of academics and science communicators. Studies in the History and Philosophy of Science, 105, 85 -98. https://doi.org/10.1016/j.shpsa.2024.05.005 picture_as_pdf
  • Sterman, J. D., Lane, David C. (2008). Jay Wright Forrester. Production and Operations Management, 17(4), i-ii. https://doi.org/10.3401/poms.1080.0022
  • Sørensen, Carsten (2010). Cultivating interaction ubiquity at work. Information Society, 26(4), 276-287. https://doi.org/10.1080/01972243.2010.489856
  • Sørensen, Carsten (2003). Scandinavian versus UK research: the importance of institutional context. Scandinavian Journal of Information Systems, 15, 95-99.
  • Mathematics
  • Abdi, Ahmad, Cornuéjols, Gérard (2019). Idealness and 2-resistant sets. Operations Research Letters, 47(5), 358-362. https://doi.org/10.1016/j.orl.2019.06.006 picture_as_pdf
  • Anthony, Martin (2004). Generalization error bounds for threshold decision lists. Journal of Machine Learning Research, 5(Feb), 189-217.
  • Appa, Gautam, Magos, D., Mourtos, Ioannis (2006). Searching for mutually orthogonal Latin squares via integer and constraint programming. European Journal of Operational Research, 173(2), 519-530. https://doi.org/10.1016/j.ejor.2005.01.048
  • Batu, Tugkan, Rubinfeld, Ronitt, White, Patrick (2005). Fast approximate PCPs for multidimensional bin-packing problems. Information and Computation, 196(1), 42-56. https://doi.org/10.1016/j.ic.2004.10.001
  • Biggs, Norman (2004). Specht modules and chromatic polynomials. Journal of Combinatorial Theory, Series B, 92(2), 359-377. https://doi.org/10.1016/j.jctb.2004.09.001
  • Biggs, Norman (2020). Linear programming from Fibonacci to Farkas. Annals of Science, https://doi.org/10.1080/00033790.2020.1811377 picture_as_pdf
  • Brightwell, Graham (2009). A result in 2d causal set theory: the emergence of spacetime. Journal of Physics: Conference Series, 174(012049), 1-6. https://doi.org/10.1088/1742-6596/174/1/012049
  • Brightwell, Graham, Panagiotou, Konstantinos, Steger, Angelika (2012). Extremal subgraphs of random graphs. Random Structures and Algorithms, 41(2), 147-178. https://doi.org/10.1002/rsa.20413
  • Husić, Edin, Li, Xinyue, Hujdurović, Ademir, Mehine, Miika, Rizzi, Romeo, Mäkinen, Veli, Milanič, Martin, Tomescu, Alexandru I. (2019). MIPUP: minimum perfect unmixed phylogenies for multi-sampled tumors via branchings and ILP. Bioinformatics, 35(5), 769-777. https://doi.org/10.1093/bioinformatics/bty683 picture_as_pdf
  • Miller, Harry I., Ostaszewski, Adam (2012). Group action and shift-compactness. Journal of Mathematical Analysis and Applications, 392(1), 23-39. https://doi.org/10.1016/j.jmaa.2012.02.021
  • Oldfield, M. (2023). Dehumanisation and the future of technology. In International Conference on AI and the Digital Economy (pp. 61 - 67). Institution of Engineering and Technology. https://doi.org/10.1049/icp.2023.2566 picture_as_pdf
  • Media and Communications
  • Net Children Go Mobile (2014). Net Children Go Mobile: European children and their carers’ understanding of use, risks and safety issues relating to convergent mobile media. (Qualitative findings report D4.1). Unicatt.
  • Beckett, Charlie (2011). Learning to love web science – a Davos debate.
  • Beckett, Charlie (2008). Science and the media: time to experiment?
  • Beckett, Charlie, Sanguinetti, Pablo, Palomo, Bella (2023). New frontiers of the intelligent journalism. In Negreira-Rey, María-Cruz, Vázquez-Herrero, Jorge, Sixto-García, José, López-García, Xosé (Eds.), Blurring Boundaries of Journalism in Digital Media: New Actors, Models and Practices (pp. 275 - 288). Springer. https://doi.org/10.1007/978-3-031-43926-1_19
  • Bhowmik, Samir, Nguyen, Minh Anh, Touliatou, Lydia, Powell, Alison, Rajan, Vishnu Vardhani (2025). Heat work: choreography as an ecological enquiry of machine learning and extractivism. International Journal of Performance Arts and Digital Media, https://doi.org/10.1080/14794713.2025.2471618 picture_as_pdf
  • Couldry, Nick, Bevan, Anna (14 May 2025) Nick Couldry: Using AI for trivial tasks hurts the planet. LSE Business Review. picture_as_pdf
  • Couldry, Nick (2024). Data as narrative: contesting the right to the word. Social Movement Studies, 23(3), 422 - 428. https://doi.org/10.1080/14742837.2024.2328581 picture_as_pdf
  • Couldry, Nick, Fotopoulou, Aristea, Dickens, Luke (2016). Real social analytics: a contribution towards a phenomenology of a digital world. British Journal of Sociology, 67(1), 118-137. https://doi.org/10.1111/1468-4446.12183
  • Dini, Paolo, Sartori, Laura (2013). Science as social construction: an inter-epistemological dialogue between two internet scientists on the inter-epistemological structure of internet science, part 1. In International Conference on Internet Science, Brussels, April 9-11, 2013: Conference Proceedings (pp. 42-51). The FP7 European Network of Excellence in Internet Science.
  • Li, Lanxin, Wang, Jiarou, Wang, Xi, Peng, Peng, Shen, Jiaying, Zhu, Haining, Zhang, Ziyang (2025). Big data and data science in global governance: anticipating future needs and applications in the UN and beyond. Frontiers in Political Science, 7, https://doi.org/10.3389/fpos.2025.1583772 picture_as_pdf
  • Pothong, Kruakae, Livingstone, Sonia (2022). Consulting children during COVID-19: managing research ethics on Zoom. In Kotilainen, Sirkku (Ed.), Methods in practice: Studying children and youth online (pp. 45 - 48). Children Online: Research and Evidence, Leibniz Institute for Media Research. picture_as_pdf
  • Powell, Alison (5 June 2024) AI is expensive. Media@LSE. picture_as_pdf
  • Powell, Alison, Wiggins, Chris (6 May 2025) How data governance happens (and why it matters). LSE Business Review. picture_as_pdf
  • Zlamal, Rostislav, MacHackova, Hana, Smahel, David, Abramczuk, Katarzyna, Ólafsson, Kjartan, Staksrud, Elisabeth (2020). EU Kids Online 2020: technical report. EU Kids Online, The London School of Economics and Political Science. https://doi.org/10.21953/lse.04dr94matpy7 picture_as_pdf
  • Methodology
  • Bauer, Martin W. (Ed.) (1995). Resistance to new technology: nuclear power, information technology and biotechnology. Cambridge University Press.
  • Bauer, Martin W., Shukla, Rajesh, Allum, Nick (Eds.) (2012). The culture of science: how the public relates to science across the globe. Routledge.
  • Alejandro, Audrey, Zhao, Longxuan (2023). Multi-method qualitative text and discourse analysis: a methodological framework. Qualitative Inquiry, https://doi.org/10.1177/10778004231184421 picture_as_pdf
  • Allum, Nick, Sibley, Elissa, Sturgis, Patrick, Stoneman, Paul (2014). Religious beliefs, knowledge about science and attitudes towards medical genetics. Public Understanding of Science, 23(7), 833 - 849. https://doi.org/10.1177/0963662513492485
  • Allum, Nick, Sturgis, Patrick, Tabourazi, Dimitra, Brunton-Smith, Ian (2008). Science knowledge and attitudes across cultures: a meta-analysis. Public Understanding of Science, 17(1), 35-54. https://doi.org/10.1177/0963662506070159
  • Arnaiz, Olivier, Mathy, Nathalie, Baudry, Celine, Malinsky, Sophie, Wilkes, Cyril Denby, Garnier, Olivier, Labadie, Karine, Lauderdale, Benjamin E., Le Mouël, Anne & Marmignon, Antoine et al (2012). The paramecium germline genome provides a niche for intragenic parasitic DNA: evolutionary dynamics of internal eliminated sequences. PLoS Genetics,
  • Au, Anson (2017). Sociology and science: the making of a social scientific method. The American Sociologist, https://doi.org/10.1007/s12108-017-9348-y
  • Bard, Imre, Gaskell, George, Allansdottir, Agnes, da Cunha, Rui Vieira, Eduard, Peter, Hampel, Juergen, Hildt, Elisabeth, Hofmaier, Christian, Kronberger, Nicole & Laursen, Sheena et al (2018). Bottom up ethics - neuroenhancement in education and employment. Neuroethics, https://doi.org/10.1007/s12152-018-9366-7
  • Bartholomew, David J. (2000). God or chance. In Stannard, Russell (Ed.), God for the 21st Century (pp. 147-149). Templeton Foundation Press.
  • Bauer, Martin, Durant, John (1992). Mapping European public understanding of science: a re-analysis of the open question included in the eurobarometer survey no 31 on S&T from 1989. The Science Museum.
  • Bauer, Martin W. (2002). Arenas, platforms, and the biotechnology movement. Science Communication, 24(2), 144-161. https://doi.org/10.1177/107554702237841
  • Bauer, Martin W. (2002). Controversial medical and agri-food biotechnology: a cultivation analysis. Public Understanding of Science, 11(2), 93-111. https://doi.org/10.1088/0963-6625/11/2/301
  • Bauer, Martin W. (2016). Kritische Beobachtungen zur Geschichte der Wissenschaftskommunikation. In Bonfadelli, Heinz, Fähnrich, Birte, Lüthje, Corinna, Milde, Jutta, Rhomberg, Markus, Schäfe, Mike S. (Eds.), Forschungsfeld Wissenschaftskommunikation (pp. 17-40). VS Verlag. https://doi.org/10.1007/978-3-658-12898-2_2
  • Bauer, Martin W. (1997). 'La longue duree' of popular science, 1830-present. In Deveze-Berthet, D. (Ed.), la Promotion De la Culture Scientifique et Technique: Ses Acteur et Leurs Logic, Actes du Colloque des 12 et 13 Decembre 1996 (pp. 75-92). Université Paris VII-Denis Diderot.
  • Bauer, Martin W. (2013). Los cambios en la cultura de la ciencia en Espana, 1989-2010. In Percepción Social de la Ciencia y la Tecnología en España 2012 (pp. 191-226). Fundación Española para la Ciencia y la Tecnología (FECYT).
  • Bauer, Martin W. (2008). Paradigm change for science communication: commercial science needs a critical public. In Cheng, Donghong, Claessens, Michel, Gascoigne, Toss, Metcalfe, Jenni, Schiele, Bernard, Shi, Shunke (Eds.), Communicating Science in Social Contexts (pp. 7-25). Springer Berlin / Heidelberg. https://doi.org/10.1007/978-1-4020-8598-7_1
  • Bauer, Martin W. (2012). Public attention to science, 1820‐2010 - a ‘longue duree’ picture. In Rodder, Simone, Franzen, Martina, Weingart, Peter (Eds.), The Sciences’ Media Connection: Public Communication and Its Repercussions (pp. 35-58). Springer Berlin / Heidelberg. https://doi.org/10.1007/978-94-007-2085-5_3
  • Bauer, Martin W. (1995). Resistance to new technology and its effects on nuclear power, information technology and biotechnology. In Bauer, Martin W. (Ed.), Resistance to New Technology: Nuclear Power, Information Technology and Biotechnology (pp. 1 - 42). Cambridge University Press. https://doi.org/10.1017/CBO9780511563706.002
  • Bauer, Martin W. (2012). Science culture and its indicators. In Schiele, Bernard, Claessens, Michel, Shi, Shunke (Eds.), Science Communication in the World: Practices, Theories and Trends (pp. 295-312). Springer Berlin / Heidelberg. https://doi.org/10.1007/978-94-007-4279-6_20
  • Bauer, Martin W. (2000). Science in the media as cultural indicator: contextualizing surveys with media analysis. In Dierkes, Meinolf, von Grote, Claudia (Eds.), Between Understanding and Trust: the Public, Science and Technology (pp. 157-178). Routledge.
  • Bauer, Martin W. (1995). Technophobia: a misleading conception of resistance to new technology. In Bauer, Martin W. (Ed.), Resistance to New Technology: Nuclear Power, Information Technology and Biotechnology (pp. 97 - 124). Cambridge University Press. https://doi.org/10.1017/CBO9780511563706.006
  • Bauer, Martin W. (1995). Towards a functional analysis of resistance. In Bauer, Martin W. (Ed.), Resistance to New Technology: Nuclear Power, Information Technology and Biotechnology (pp. 393 - 418). Cambridge University Press. https://doi.org/10.1017/CBO9780511563706.020
  • Bauer, Martin W. (1998). The medicalisation of science news: from the 'rocket-scalpel' to the 'gene-meteorite' complex. Social Science Information, 37(4), 731-751. https://doi.org/10.1177/053901898037004009
  • Bauer, Martin W. (2006). The vicissitudes of public understanding of science: from literacy to science in society. Science Popularization, 10, 14-22.
  • Bauer, Martin W., Gaskell, George (2002). Pesquisa qualitativa con texto, imagem e som: um manual prático. Editora Vozes.
  • Bauer, Martin W., Gaskell, George, Allum, Nick, Durant, John, Allansdottir, Agnes, Bonfadelli, Heinz, Boy, Daniel, de Cheveigné, Suzanne, Fjaestad, Björn & Guttelin, Jan M. et al (2000). Biotechnology and the European public. Nature Biotechnology, 18(9), 935-938. https://doi.org/10.1038/79403
  • Bauer, Martin W., Gaskell, George, Durant, John, Midden, Cees, Liakopoulous, Miltos, Scholten, Liesbeth (2000). Two cultures of public understanding of science and technology in Europe. In Dierkes, Meinolf, von Grote, Claudia (Eds.), Between Understanding and Trust : the Public, Science and Technology (pp. 131-156). Routledge.
  • Bauer, Martin W., Gregory, J. (2004). CPS INC: l'avenir de la communication de la science. In Schiele, Bernard, Jantzen, Real (Eds.), Les Nouveaux Territoires De la Culture Scientifique (pp. 41-65). Presses Universitaires de Lyon.
  • Bauer, Martin W., Howard, Susan (2012). Public Understanding of Science: a peer-review journal for turbulent times. Public Understanding of Science, 21(3), 258-267. https://doi.org/10.1177/0963662512443407
  • Bauer, Martin W., Howard, Susan (2013). The culture of science in modern Spain : an analysis of public attitudes across time, age cohorts and regions. Lável Industria Gráfica.
  • Bauer, Martin W., Howard, Susan, Romo Ramos, Yulye Jessica, Massarani, Luisa, Amorim, Luis (2013). Global science journalism report: working conditions & practices, professional ethos and future expectations. (Our learning series). Science and Development Network.
  • Bauer, Martin W., Jensen, Pablo (2011). The mobilization of scientists for public engagement. Public Understanding of Science, 20(1), 3-11. https://doi.org/10.1177/0963662510394457
  • Bauer, Martin W., Petkova, Kristina, Boyadjieva, Pepka (2000). Public knowledge of and attitudes to science: alternative measures that may end the "science war". Science, Technology and Human Values, 25(1), 30-51.
  • Bauer, Martin W., Petkova, Kristina, Boyadjieva, Pepka, Gornev, Galin (2006). Long-term trends in the public representation of science across the 'iron curtain': Britain and Bulgaria, 1946-95. Social Studies of Science, 36(1), 99-131. https://doi.org/10.1177/0306312705053349
  • Bauer, Martin W., Schiele, B., Amyot, M., Benoit, C. (1994-04-11 - 1994-04-13) Science and technology in the British press - 1946 to 1986 [Paper]. When Science Becomes Culture, Montreal, Canada, CAN.
  • Bauer, Martin W. (2017). No time for experts? Trust in science after the BREXIT vote of 23 June 2016. In Schiele, B., LeMarec, J. (Eds.), Cultures de Science (pp. 91-99). Acfas.
  • Bauer, Martin W. (2008). Survey research and the public understanding of science. In Bucchi, Massimiano, Trench, Brian (Eds.), Handbook of Public Communication of Science and Technology (pp. 111-130). Routledge.
  • Bauer, Martin W. (2009). The evolution of public understanding of science - discourse and comparative evidence. Science, Technology and Society, 14(2), 221-240. https://doi.org/10.1177/097172180901400202
  • Busso, Matteo, Bontempelli, Andrea, Malcotti, Leonardo Javier, Meegahapola, Lakmal, Kun, Peter, Diwakar, Shyam, Nutakki, Chaitanya, Britez, Marcelo Dario Rodas, Xu, Hao & Song, Donglei et al (2025). DiversityOne: a multi-country smartphone sensor dataset for everyday life behavior modeling. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 9(1). https://doi.org/10.1145/3712289 picture_as_pdf
  • Caldas, Bárbara, Portela, Margareth, Stelson, Elisabeth, Singer, Sara, Amaral, Thatiana, Amaral, Cledir, Escosteguy, Claudia, Martins, Mônica, de Andrade, Carla Lourenço Tavares & Soares, Letícia et al (2024). Promoting equity, diversity, and inclusion in surveys: insights from a patient-engaged study to assess long COVID health-care needs in Brazil. Journal of Clinical Epidemiology, 173, https://doi.org/10.1016/j.jclinepi.2024.111423 picture_as_pdf
  • Cornish, Flora (2009). Let's get real (with a small `r'): for a health psychology that prioritizes the concrete. Journal of Health Psychology, 14(5), 638-642. https://doi.org/10.1177/1359105309104908
  • Däubler, Thomas, Benoit, Kenneth, Mikhaylov, Slava, Laver, Michael (2012). Natural sentences as valid units for coded political texts. British Journal of Political Science, 42(04), 937-951. https://doi.org/10.1017/S0007123412000105
  • Fanelli, Daniele (2018). Is science really facing a reproducibility crisis, and do we need it to? Proceedings of the National Academy of Sciences of the United States of America, 115(11), 2628-2631. https://doi.org/10.1073/pnas.1708272114
  • Fanelli, Daniele, Costas, Rodrigo, Fang, Ferric C., Casadevall, Arturo, Bik, Elisabeth M. (2018). Testing hypotheses on risk factors for scientific misconduct via matched-control analysis of papers containing problematic image duplications. Science and Engineering Ethics, https://doi.org/10.1007/s11948-018-0023-7
  • Fanelli, Daniele, Schleicher, Matteo, Fang, Ferric C., Casadevall, Arturo, Bik, Elisabeth M. (2022). Do individual and institutional predictors of misconduct vary by country? Results of a matched-control analysis of problematic image duplications. PLOS ONE, 17(3). https://doi.org/10.1371/journal.pone.0255334 picture_as_pdf
  • Fanelli, Daniele, Tan, Pedro Batista, Amaral, Olavo B., Neves, Kleber (2025). A metric of knowledge as information compression reflects reproducibility predictions for biomedical experiments. Royal Society Open Science, 12(7). https://doi.org/10.1098/rsos.241446 picture_as_pdf
  • Fanelli, Daniele, Wong, Julie, Moher, David (2022). What difference might retractions make? An estimate of the potential epistemic cost of retractions on meta-analyses. Accountability in Research, 29(7), 442 - 459. https://doi.org/10.1080/08989621.2021.1947810 picture_as_pdf
  • Ganslmeier, Michael, Vlandas, Tim (14 August 2025) Even honest research results can flip - a new approach to assessing robustness in the social sciences. LSE European Politics and Policy (EUROPP) blog. picture_as_pdf
  • García-Gavilanes, Ruth, Mollgaard, Anders, Tsvetkova, Milena, Yasseri, Taha (2017). The memory remains: understanding collective memory in the digital age. Science Advances, 3(4), e1602368. https://doi.org/10.1126/sciadv.1602368 picture_as_pdf
  • Gaskell, George (2000). Agricultural biotechnology and public attitudes in the European Union. AgBioForum, 3(2-3), 87-96.
  • Gaskell, George (2004). Science policy and society: the British debate over GM agriculture. Current Opinion in Biotechnology, 15(3), 241-245. https://doi.org/10.1016/j.copbio.2004.04.008
  • Gaskell, George (2003). Seeds of discontent. Risk & Regulation, (6), p. 6.
  • Gaskell, George, Allum, Nick (2001). Sound science, problematic publics? Contrasting representations of risk and uncertainty. Notizie di Politeia, 17(63), 13-25.
  • Gaskell, George, Allum, Nick, Bauer, Martin, Jackson, Jonathan, Howard, Susan, Lindsey, Nicola (2003). Climate change for biotechnology?: UK public opinion 1991-2002. AgBioForum, 6(1-2), 55-67.
  • Gaskell, George, Einsiedel, Edna, Hallman, William, Priest, Susanna Hornig, Jackson, Jonathan, Olsthoorn, Johannus (2005). Social values and the governance of science. Science, 310(5756), 1908-1909. https://doi.org/10.1126/science.1119444
  • Jones, Alasdair (2018). Everyday without exception? Making space for the exceptional in contemporary sociological studies of streetlife. Sociological Review, 66(5), 1000-1016. https://doi.org/10.1177/0038026118771280
  • Kalampalikis, Nikos, Bauer, Martin W., Apostolidis, Thémis (2013). Science, technology and society: the social representations approach. Revue Internationale de Psychologie Sociale, 26(3), 5-9.
  • Kim, Leo (2011). “Your problem is that your face reveals everything when you are lying”: making and remaking of conduct in South Korean life sciences. New Genetics and Society, 30(3), 213-225. https://doi.org/10.1080/14636778.2011.598042
  • Knott, Eleanor, Kostovicova, Denisa (12 June 2024) In political science research ethics is women's work. Impact of Social Sciences Blog. picture_as_pdf
  • Knott, Eleanor, Kostovicova, Denisa (2024). To report or not to report on research ethics in political science and international relations: a new dimension of gender-based inequality. American Political Science Review, https://doi.org/10.1017/S0003055424000546 picture_as_pdf
  • Knott, Eleanor, Rao, Aliya, Summers, Kate, Teeger, Chana (2022). Interviews in the social sciences. Nature Reviews Methods Primers, 2(1). https://doi.org/10.1038/s43586-022-00166-y picture_as_pdf
  • Kronberger, Nicole, Dahinden, Urs, Allansdottir, Agnes, Seger, Nina, Pfenning, Uwe, Gaskell, George, Allum, Nick, Rusanen, Timo, Montali, Lorenzo & Wagner, Wolfgang et al (2001). "The train departed without us": public perceptions of biotechnology in ten European countries. Notizie di Politeia, 17(63), 26-36.
  • Lall, Ranjit, Robinson, Thomas (2023). Efficient multiple imputation for diverse data in Python and R: MIDASpy and rMIDAS. Journal of Statistical Software, 107(9), 1-38. https://doi.org/10.18637/jss.v107.i09 picture_as_pdf
  • Laver, Michael (2024). Book review: Gerd Gigerenzer, How to stay smart in a smart world: why human intelligence still beats algorithms. Society, https://doi.org/10.1007/s12115-024-00985-7 picture_as_pdf
  • Mejlgaard, Niels, Stares, Sally (2010). Participation and competence as joint components in a cross-national analysis of scientific citizenship. Public Understanding of Science, 19(5), 545-561. https://doi.org/10.1177/0963662509335456
  • Park, Patrick S., Tsvetkova, Milena (2025). The structure of informal support in the production of scientific knowledge. In Cherifi, Hocine, Donduran, Murat, Rocha, Luis M., Cherifi, Chantal, Varol, Onur (Eds.), Complex Networks & Their Applications XIII: Proceedings of The Thirteenth International Conference on Complex Networks and Their Applications: COMPLEX NETWORKS 2024 - Volume 2 (pp. 281 - 292). Springer. https://doi.org/10.1007/978-3-031-82431-9_23 picture_as_pdf
  • Roberts, Caroline, Allum, Nick, Sturgis, Patrick (2014). Nonresponse and measurement error in an online panel. In Callegaro, Mario, Baker, Reg, Bethlehem, Jelke, Göritz, Anja S., Krosnick, John A., Lavrakas, Paul J. (Eds.), Online Panel Research: Data Quality Perspective, A (pp. 337 - 362). John Wiley & Sons. https://doi.org/10.1002/9781118763520.ch15
  • Robinson, Thomas, Adamson, Matthew, Barrett, Gordon, Jacobsen, Lif (29 April 2025) Can science diplomacy keep up with a world in crisis? Impact of Social Sciences Blog. picture_as_pdf
  • Stares, Sally (2009). Using latent class models to explore cross-national typologies of public engagement with science and technology in Europe. Science, Technology and Society, 14(2), 289-329. https://doi.org/10.1177/097172180901400205
  • Sturgis, Patrick (2004). Analysing complex survey data: clustering, stratification and weights. Social Research Update, Autumn(43), 1 - 4.
  • Sturgis, Patrick, Maslovskaya, Olga, Durrant, Gabriele, Brunton-Smith, Ian (2021). The interviewer contribution to variability in response times in face-to-face interview surveys. Journal of Survey Statistics and Methodology, 9(4), 701 - 721. https://doi.org/10.1093/jssam/smaa009 picture_as_pdf
  • Todorov, V., Petkova, K., Bauer, Martin W. (2009). In search of the universal dimensions of Public Perception of Science. Science, Technology and Society, 14(2), 331-347. https://doi.org/10.1177/097172180901400206
  • Tsvetkova, Milena (2021). The effects of reputation on inequality in network cooperation games. Philosophical Transactions of the Royal Society B: Biological Sciences, 376(1838). https://doi.org/10.1098/rstb.2020.0299 picture_as_pdf
  • Vaganay, Arnaud (2016). Outcome reporting bias in government-sponsored policy evaluations: a qualitative content analysis of 13 Studies. PLOS ONE, 11(9). https://doi.org/10.1371/journal.pone.0163702
  • Middle East Centre
  • Mason, Michael (2007). Book review: the energy age: a guide to the use and abuse of energy in the world today. European Environment, 17(2), p. 145. https://doi.org/10.1002/eet.437
  • Narrative Science
  • Berry, Dominic J. (2023). Scientific activism and intellectual property: how UK-based agroecologists and plant synthetic biologists have challenged the status quo. In Bellido, Jose, Sherman, Brad (Eds.), Intellectual Property and the Design of Nature (pp. 290 - 316). Oxford University Press. https://doi.org/10.1093/oso/9780192864406.003.0011
  • Berry, Dominic J. (2021). Narrative and epistemic positioning: the case of the Dandelion pilot. In Pirtle, Zachary, Tomblin, David, Madhavan, Guru (Eds.), Engineering and Philosophy: Reimagining Technology and Social Progress (pp. 123 - 139). Springer Berlin / Heidelberg. https://doi.org/10.1007/978-3-030-70099-7_6 picture_as_pdf
  • Berry, Dominic J. (2020). Sammelbesprechung. NTM Zeitschrift für Geschichte der Wissenschaften, Technik und Medizin, 28(4), 617 - 621. https://doi.org/10.1007/s00048-020-00272-6 picture_as_pdf
  • Philosophy, Logic and Scientific Method
  • Frigg, Roman, Hunter, Matthew (Eds.) (2010). Beyond mimesis and convention: representation in art and science. Springer Berlin / Heidelberg.
  • Alexander, J McKenzie (2023). Evolutionary game theory. Cambridge University Press. https://doi.org/10.1017/9781108582063
  • Alexander, J McKenzie (2014). Learning to signal in a dynamic world. British Journal for the Philosophy of Science, 65(4), 797 – 820. https://doi.org/10.1093/bjps/axt044
  • Alexander, J. McKenzie (2013). Preferential attachment and the search for successful theories. Philosophy of Science, 80(5), 769-782. https://doi.org/10.1086/674080
  • Alexander, J. McKenzie, Himmelreich, Johannes, Thompson, Christopher (2015). Epistemic landscapes, optimal search and the division of cognitive labor. Philosophy of Science, 82(3), 424-453. https://doi.org/10.1086/681766
  • Artiga, Marc, Birch, Jonathan, Martínez, Manolo (2020). The meaning of biological signals. Studies in History and Philosophy of Science Part C :Studies in History and Philosophy of Biological and Biomedical Sciences, 84, https://doi.org/10.1016/j.shpsc.2020.101348 picture_as_pdf
  • Arvan, Marcus, Bright, Liam kofi, Heesen, Remco (2025). Jury theorems for peer review. British Journal for the Philosophy of Science, 76(2), 319-344. https://doi.org/10.1086/719117 picture_as_pdf
  • Beigang, Fabian (2023). Causal models and algorithmic fairness [Doctoral thesis]. London School of Economics and Political Science. https://doi.org/10.21953/lse.00004568
  • Birch, Jonathan (2023). Knowing science, by Alexander Bird. Mind, https://doi.org/10.1093/mind/fzad048
  • Birch, Jonathan (10 July 2025) What if AI becomes conscious? British Politics and Policy at LSE. picture_as_pdf
  • Birch, Jonathan (9 November 2015) The evolution of cultures, human and microbial. LSE Department of Philosophy, Logic and Scientific Method Blog.
  • Birch, Jonathan (2019). Altruistic deception. Studies in History and Philosophy of Science Part C :Studies in History and Philosophy of Biological and Biomedical Sciences, 74, 27-33. https://doi.org/10.1016/j.shpsc.2019.01.004 picture_as_pdf
  • Birch, Jonathan (2018). Animal cognition and human values. Philosophy of Science, 85(5), 1026-1037. https://doi.org/10.1086/699744 picture_as_pdf
  • Birch, Jonathan (2018). Kin selection, group selection, and the varieties of population structure. British Journal for the Philosophy of Science,
  • Birch, Jonathan (2025). Sentience and the science-policy nexus: replies to Wandrey and Halina, and Bayne. Mind & Language, 40(5), 578 - 585. https://doi.org/10.1111/mila.12552 picture_as_pdf
  • Bovens, Luc, Fitelson, Branden, Hartmann, Stephan, Snyder, Josh (2002). Too odd (not) to be true? A reply to Olsson. British Journal for the Philosophy of Science, 53(4), 539-563. https://doi.org/10.1093/bjps/53.4.539
  • Bradley, Richard (1999). Book review: Roger Backhouse 'explorations in economic methodology: from Lakatos to empirical philosophy of science'. British Journal for the Philosophy of Science, 50(2), 316-318. https://doi.org/10.1093/bjps/50.2.316
  • Bradley, Richard (2017). Decision theory with a human face. Cambridge University Press. https://doi.org/10.1017/9780511760105
  • Bradley, Richard (2002). Les Conditionnels et la Revision des Croyances. In Livet, Pierre (Ed.), Révision des Croyances (pp. 67-82). Hermes Science Publications.
  • Bradley, Richard (1998). A representation theorem for a decision theory with conditionals. Synthese, 116(2), 187-229.
  • Bradley, Richard, Frigg, Roman, Steele, Katie Siobhan, Thompson, Erica, Werndl, Charlotte (2023). Philosophy of climate science. In Routledge Encyclopedia of Philosophy . Routledge. https://doi.org/10.4324/9780415249126-R051-1 picture_as_pdf
  • Bradley, Richard, Roussos, Joe (2021). Following the science: pandemic policy making and reasonable worst-case scenarios. LSE Public Policy Review, 1(4). https://doi.org/10.31389/lseppr.23 picture_as_pdf
  • Bright, Liam Kofi (2017). On fraud. Philosophical Studies, 174(2), 291-310. https://doi.org/10.1007/s11098-016-0682-7
  • Bright, Liam Kofi, Heesen, Remco, Dang, Haixin (2018). A role for judgment aggregation in coauthoring scientific papers. Erkenntnis, 83(2), 231-252. https://doi.org/10.1007/s10670-017-9887-1
  • Bright, Liam Kofi, Heesen, Remco, Zucker, Andrew (2016). Vindicating methodological triangulation. Synthese, https://doi.org/10.1007/s11229-016-1294-7
  • Butlin, Patrick, Long, Robert, Bayne, Tim, Bengio, Yoshua, Birch, Jonathan, Chalmers, David, Constant, Axel, Deane, George, Elmoznino, Eric & Fleming, Stephen M et al (2025). Identifying indicators of consciousness in AI systems. Trends in Cognitive Sciences, https://doi.org/10.1016/j.tics.2025.10.011 picture_as_pdf
  • Callender, Craig (2000). Is time 'handed' in a quantum world? Proceedings of the Aristotelian Society, 100(1), 247-269. https://doi.org/10.1111/j.0066-7372.2003.00015.x
  • Cartwright, Nancy (2000). Against the completability of science. In Wolff, Jonathan, Stone, Martin (Eds.), The Proper Ambition of Science (pp. 209-222). Routledge.
  • Cartwright, Nancy (1999). Models and the limits of theory: quantum hamiltonians and the BCS model of superconductivity. In Morgan, Mary S., Morrison, Margaret (Eds.), Models as Mediators (pp. 241-281). Cambridge University Press.
  • Cartwright, Nancy (1994). Nature's capacities and their measurement. Oxford University Press.
  • Cartwright, Nancy (2001). Reply to Anderson. Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics, 32(3), 495-497. https://doi.org/10.1016/S1355-2198(01)00012-0
  • Cartwright, Nancy (2003). Two theorems on invariance and causality. Philosophy of Science, 70(1), 203-224.
  • Cartwright, Nancy (2001). What is wrong with Bayes nets? The Monist, 84(2), 242-264.
  • Cartwright, Nancy, Cat, Jordi, Fleck, Lola, Uebel, Thomas E. (2008). Otto Neurath: philosophy between science and politics. Cambridge University Press.
  • Cartwright, Nancy, Pemberton, John (2013). Aristotelian powers: without them, what would modern science do? In Greco, John, Groff, Ruth (Eds.), Powers and Capacities in Philosophy: the New Aristotelianism (pp. 93-112). Routledge.
  • Caulton, Adam (2013). Discerning “indistinguishable” quantum systems. Philosophy of Science, 80(1), 49-72. https://doi.org/10.1086/668874
  • Caulton, Adam, Butterfield, J. (2012). Symmetries and paraparticles as a motivation for structuralism. British Journal for the Philosophy of Science, 63(2), 233-285. https://doi.org/10.1093/bjps/axr034
  • Colombatto, Clara, Birch, Jonathan, Fleming, Stephen M. (2025). The influence of mental state attributions on trust in large language models. Communications Psychology, 3(1). https://doi.org/10.1038/s44271-025-00262-1 picture_as_pdf
  • Cronin, H. (2005). The vital statistics. Guardian,
  • Cronin, Helena (2003). Getting human nature right. In Brockman, J (Ed.), The New Humanist: Science at the Edge (pp. 53-65). Barnes & Noble.
  • Crump, Andrew, Browning, Heather, Schnell, Alex, Burn, Charlotte, Birch, Jonathan (2022). Sentience in decapod crustaceans: a general framework and review of the evidence. Animal Sentience, 7, https://doi.org/10.51291/2377-7478.1691 picture_as_pdf
  • Dang, Haixin, Bright, Liam Kofi (2021). Scientific conclusions need not be accurate, justified, or believed by their authors. Synthese, 199(3-4), 8187 - 8203. https://doi.org/10.1007/s11229-021-03158-9 picture_as_pdf
  • Dietrich, Franz, List, Christian (2013). Reasons for (prior) belief in Bayesian epistemology. Synthese, 190(5), 787-808.
  • Dietrich, Franz, List, Christian (2013). Where do preferences come from? International Journal of Game Theory, 42(3), 613 - 637. https://doi.org/10.1007/s00182-012-0333-y
  • Dizadji-Bahmani, Foad, Frigg, Roman, Hartmann, Stephan (2010). Confirmation and reduction: a Bayesian account. Synthese, 179(2), 321-328. https://doi.org/10.1007/s11229-010-9775-6
  • Dizadji-Bahmani, Foad, Frigg, Roman, Hartmann, Stephan (2010). Who’s afraid of Nagelian reduction? Erkenntnis, 73(3), 393-412. https://doi.org/10.1007/s10670-010-9239-x
  • Fennell, Damien, Cartwright, Nancy (2010). Does Roush show that evidence should be probable? Synthese, 175(3), 289-310. https://doi.org/10.1007/s11229-009-9510-3
  • Ferretti, Thomas (2022). An institutionalist approach to AI ethics: justifying the priority of government regulation over self-regulation. Moral Philosophy and Politics, 9(2), 239 - 265. https://doi.org/10.1515/mopp-2020-0056 picture_as_pdf
  • Frigg, Roman (2009). Book review: a companionable coverage of the philosophy of science. Metascience, 18(1), 139-142. https://doi.org/10.1007/s11016-009-9244-3
  • Frigg, Roman (2002). Book review: ubiquity: the science of history ... or why the world is simpler than we think. British Journal for the Philosophy of Science, 53(4), 585-591. https://doi.org/10.1093/bjps/53.4.585
  • Frigg, Roman (2008). Chance in Boltzmannian statistical mechanics. Philosophy of Science, 75(5), 670-681. https://doi.org/10.1086/594513
  • Frigg, Roman (2006). Chaos and randomness: An equivalence proof of a generalised version of the Shannon entropy and the Kolmogorov-Sinai entropy for Hamiltonian dynamical systems. Chaos, Solitons and Fractals, 28(1), 26-31. https://doi.org/10.1016/j.chaos.2005.05.006
  • Frigg, Roman (2010). Fiction and science. In Woods, John (Ed.), Fictions and Models . Philosophia Verlag.
  • Frigg, Roman (2014). Los modelos y la ficción. In Lorenzano, Pablo (Ed.), Modelos y Teorías En Biología . Prometeo.
  • Frigg, Roman (2010). Models and fiction. Synthese, 172(2), 251-268. https://doi.org/10.1007/s11229-009-9505-0
  • Frigg, Roman (2002). Models and representation: why structures are not enough. (Measurement in physics and economics discussion papers 25/02). London School of Economics and Political Science.
  • Frigg, Roman (2023). Models and theories in science. In Oxford Bibliographies: Philosophy . Oxford University Press. https://doi.org/10.1093/OBO/9780195396577-0245
  • Frigg, Roman (2003). On the property structure of realist collapse interpretations of quantum mechanics and the so-called "counting anomaly". International Studies in the Philosophy of Science, 17(1), 43-57. https://doi.org/10.1080/02698590305232
  • Frigg, Roman (2003). Self-organised criticality - what it is and what it isn't. Studies in the History and Philosophy of Science Part A, 34(3), 613-632. https://doi.org/10.1016/S0039-3681(03)00046-3
  • Frigg, Roman (2011). Why typicality does not explain the approach to equilibrium. In Suárez, Mauricio (Ed.), Probabilities, Causes and Propensities in Physics (pp. 77-93). Springer Berlin / Heidelberg. https://doi.org/10.1007/978-1-4020-9904-5_4
  • Frigg, Roman (2008). A field guide to recent work on the foundations of statistical mechanics. In Rickles, Dean (Ed.), The Ashgate Companion to Contemporary Philosophy of Physics (pp. 99-196). Ashgate Dartmouth.
  • Frigg, Roman, Berkovitz, Joseph (2001). Book review: explaining chaos. British Journal for the Philosophy of Science, 52(1), 201-205. https://doi.org/10.1093/bjps/52.1.201
  • Frigg, Roman, Bradley, Seamus, Machete, Reason L., Smith, Leonard A. (2013). Probabilistic forecasting: why model imperfection is a poison pill. In Andersen, Hanne, Dieks, Dennis, Gonzalez, Wenceslao, Ubel, Thomas, Wheeler, Gregory (Eds.), New Challenges to Philosophy of Science (pp. 479-492). Springer Berlin / Heidelberg.
  • Frigg, Roman, Hartmann, Stephan, Imbert, Cyrille (2011). Preface: special issue: models and simulations 2. Synthese, 180(1), 1-2. https://doi.org/10.1007/s11229-009-9562-4
  • Frigg, Roman, Nguyen, James (2016). Scientific representation. In Zalta, Edward N. (Ed.), The Stanford Encyclopedia of Philosophy . Metaphysics Research Lab Center for the Study of Language and Information Stanford University.
  • Frigg, Roman, Votsis, Ioannis (2011). Everything you always wanted to know about structural realism but were afraid to ask. European Journal for Philosophy of Science, 1(2), 227-276. https://doi.org/10.1007/s13194-011-0025-7
  • Frigg, Roman, Werndl, Charlotte (2012). Demystifying typicality. Philosophy of Science, 79(5), 917-929. https://doi.org/10.1086/668043
  • Frigg, Roman, Werndl, Charlotte (2023). Philosophy of statistical mechanics. In Stanford Encyclopedia of Philosophy . Metaphysics Research Lab, Stanford University.
  • Frigg, Roman, Werndl, Charlotte (2019). Statistical mechanics: a tale of two theories. The Monist, 102(4), 424-438. https://doi.org/10.1093/monist/onz018
  • Frigg, Roman (2018). Properties and the born rule in GRW theory. In Gao, Shan (Ed.), Collapse of the Wave Function: Models, Ontology, Origin, and Implications (pp. 124 - 133). Cambridge University Press. https://doi.org/10.1017/9781316995457.008 picture_as_pdf
  • Frigg, Roman (2021). Scientific modelling and make-believe. In Sedivy, Sonia (Ed.), Art, Representation, and Make-Believe: Essays on the Philosophy of Kendall L. Walton (pp. 367 - 383). Routledge. https://doi.org/10.4324/9780367808662-25 picture_as_pdf
  • Frigg, Roman (2024). Theories and models. In Knuuttila, Tarja, Carrillo, Natalia, Koskinen, Rami (Eds.), The Routledge Handbook of Philosophy of Scientific Modeling (pp. 26-41). Routledge. https://doi.org/10.4324/9781003205647-4 picture_as_pdf
  • Frigg, Roman, Nguyen, James (2022). DEKI and the mislocation of justification: a response to Millson and Risjord. In Khalifa, Kareem, Lawler, Insa, Shech, Elay (Eds.), Scientific Understanding and Representation: Modeling in the Physical Sciences . Routledge. picture_as_pdf
  • Frigg, Roman, Nguyen, James (2017). Models and representation. In Magnani, Lorenzo, Bertolotti, Tommaso (Eds.), Springer Handbook of Model-Based Science . Springer International (Firm). https://doi.org/10.1007/978-3-319-30526-4 picture_as_pdf
  • Frigg, Roman, Nguyen, James (2021). Seven myths about the fiction view of models. In Cassini, Alejandro, Redmond, Juan (Eds.), Models and Idealizations in Science: Artifactual and Fictional Approaches (pp. 133 - 157). Springer Berlin / Heidelberg. https://doi.org/10.1007/978-3-030-65802-1_6 picture_as_pdf
  • Frigg, Roman, Nguyen, James (2018). The turn of the valve: representing with material models. European Journal for Philosophy of Science, 8(2), 205-224. https://doi.org/10.1007/s13194-017-0182-4
  • Gaertner, Wulf (2013). Modelle menschlichen Entscheidens. In Stephan, Achim, Walter, Sven (Eds.), Handbuch Kognitionswissenschaft (pp. 206-219). J.B. Metzler Verlag.
  • Guala, Francesco (1999). Economics and the laboratory: some philosophical and methodological problems facing experimental economics [Doctoral thesis]. London School of Economics and Political Science. picture_as_pdf
  • Gyenis, Zalán, Rédei, Miklós (2015). Defusing Bertrand's paradox. British Journal for the Philosophy of Science, 66(2), 349 - 373. https://doi.org/10.1093/bjps/axt036
  • Güttinger, Stephan (2021). Process and practice: understanding the nature of molecules. HYLE: International Journal for Philosophy of Chemistry, 27(1), 47 - 66. picture_as_pdf
  • Güttinger, Stephan (2020). The limits of replicability. European Journal for Philosophy of Science, 10(2). https://doi.org/10.1007/s13194-019-0269-1 picture_as_pdf
  • Harris, Margherita, Frigg, Roman (2022). Climate models and robustness analysis – part II: the justificatory challenge. In Pellegrino, Gianfranco, Di Paola, Marcello (Eds.), Handbook of the Philosophy of Climate Change . Springer Berlin / Heidelberg.
  • Harris, Margherita, Frigg, Roman (2022). Climate models and robustness analysis – part I: core concepts and premises. In Pellegrino, Gianfranco, Di Paola, Marcello (Eds.), Handbook of the Philosophy of Climate Change . Springer Berlin / Heidelberg. picture_as_pdf
  • Hartmann, Stephan (2000). Book review: James T. Cushing, philosophical concepts in physics: the historical relation between philosophy and scientific theories. Erkenntnis, 52(1), 133-137. https://doi.org/10.1023/A:1005406015631
  • Hartmann, Stephan (2000). Book review: the sun, the genom and the internet by F. Dyson. Physikalische Blätter, 56(10), p. 69.
  • Hartmann, Stephan (2001). Mechanisms, coherence, and theory choice in the cognitive neurosciences. In Machamer, Peter (Ed.), Theory and Method in the Neurosciences (pp. 70-80). University of Pittsburgh. Press.
  • Hartmann, Stephan (2005). Transdisziplinarität - eine herausforderung für die wissenschaftstheorie. In Wolters, Gereon, Carrier, Martin (Eds.), Homo Sapiens und Homo Faber (pp. 335-343). Walter de Gruyter & Co..
  • Hartmann, Stephan, Fahrbach, L. (2005). Normativität und Bayesianismus. In Gesang, Bernward (Ed.), Deskriptive Oder Normative Wissenschaftstheorie (pp. 177-204). Ontos Verlag.
  • Hartmann, Stephan, Frigg, Roman (2006). Models in science. In Zalta, Edward N. (Ed.), The Stanford Encyclopedia of Philosophy . Stanford University.
  • Hartmann, Stephan, Frigg, Roman (2012). Models in science. In Zalta, Edward N. (Ed.), The Stanford Encyclopedia of Philosophy . Stanford University.
  • Hartmann, Stephan, Frigg, Roman (2005). Scientific models. In Sarkar, Sahotra, Pfeifer, Jessica (Eds.), The Philosophy of Science: an Encyclopedia (pp. 740-749). Routledge.
  • Hartmann, Stephan, Haenni, Rolf (2006). Modeling partially reliable information sources: A general approach based on Dempster-Shafer theory. Information Fusion, 7(4), 361-379. https://doi.org/10.1016/j.inffus.2005.06.005
  • Hartmann, Stephan, Haenni, Rolf (2006). Special issue of minds and machines on causality, uncertainty and ugnorance. Minds and Machines, 16(3), 237-238. https://doi.org/10.1007/s11023-006-9041-3
  • Heesen, Remco (2024). Cumulative advantage and the incentive to commit fraud in science. British Journal for the Philosophy of Science, 75(3), 561 - 586. https://doi.org/10.1086/716235 picture_as_pdf
  • Helgeson, Casey (2013). The confirmational significance of agreeing measurements. Philosophy of Science, 80(5), 721-732. https://doi.org/10.1086/673924
  • Helgeson, Case (2016). Modus Darwin reconsidered. British Journal for the Philosophy of Science, 1-21. https://doi.org/10.1093/bjps/axw015
  • Helgeson, Casey (2015). There is no asymmetry of identity assumptions in the debate over selection and individuals. Philosophy of Science, 82(1), 21-31. https://doi.org/10.1086/679114 picture_as_pdf
  • Hoefer, Carl (2000). Kant's hands and Earman's pions: chirality arguments for substantival space. International Studies in the Philosophy of Science, 14(3), 237-256. https://doi.org/10.1080/026985900437755
  • Howson, Colin (2003). Bayesian evidence. In Galavotti, Maria Carla (Ed.), Observation and Experiment in the Natural and Social Sciences (pp. 301-320). Kluwer Academic Publishers.
  • Howson, Colin (2008). De finetti, countable additivity, consistency and coherence. British Journal for the Philosophy of Science, 59(1), 1-23. https://doi.org/10.1093/bjps/axm042
  • Howson, Colin (2007). Logic with numbers. Synthese, 156(3), 491-512. https://doi.org/10.1007/s11229-006-9135-8
  • Howson, Colin, Urbach, Peter (2005). Scientific reasoning: the Bayesian approach. Open Court Publishing Company.
  • Howson, Colin (2019). Timothy Williamson’s coin-flipping argument: refuted prior to publication. Erkenntnis, 1-9. https://doi.org/10.1007/s10670-019-00130-5 picture_as_pdf
  • Hudetz, Laurenz (2019). Definable categorical equivalence. Philosophy of Science, 86(1), 47-75. https://doi.org/10.1086/701047
  • Huebner, Bryce, Bright, Liam Kofi (2020). Collective responsibility and fraud in scientific communities. In Bazargan-Forward, Saba, Perron Tollefsen, Deborah (Eds.), Routledge Handbook of Collective Responsibility . Routledge. https://doi.org/10.4324/9781315107608-29 picture_as_pdf
  • Humphrey, Nicholas (2001). Doing it my way: sensation, perception - and feeling red. Behavioral and Brain Sciences, 24(5), p. 987. https://doi.org/10.1017/S0140525X01380111
  • Kinney, David (2019). On the explanatory depth and pragmatic value of coarse-grained, probabilistic, causal explanations. Philosophy of Science, 86(1), 145-167. https://doi.org/10.1086/701072 picture_as_pdf
  • Kinney, David (2019). The problem of granularity for scientific explanation [Doctoral thesis]. London School of Economics and Political Science.
  • Leonelli, Sabina, Reydon, Thomas (2005). Symposium Issue: philosophy of biology in Flanders and the Netherlands. Acta Biotheoretica, 53(2), 55-56. https://doi.org/10.1007/s10441-005-5349-2
  • Lászlo, E. Szabó, Gyenis, Balázs, Gyenis, Zalán, Rédei, Miklós, Szabó, Gábor (2010). Korrelációk kauzális magyarázata. Magyar Filozófiai Szemle, 2010(3).
  • Mameli, Matteo (2001). Mindreading, mindshaping and evolution. Biology and Philosophy, 16(5), 595-626. https://doi.org/10.1023/A:1012203830990
  • Mameli, Matteo (2001). Modules and mindreaders. Biology and Philosophy, 16(3), 377-393. https://doi.org/10.1023/A:1010605410437
  • McLoone, Brian, Grützner, Cassandra, Stuart, Michael T. (2023). Counterpossibles in science: an experimental study. Synthese, 201(1). https://doi.org/10.1007/s11229-022-04014-0
  • Nguyen, James, Frigg, Roman (2022). Scientific representation. Cambridge University Press. https://doi.org/10.1017/9781009003575 picture_as_pdf
  • Nguyen, James (2019). It’s not a game: accurate representation with toy models. British Journal for the Philosophy of Science, 71(3), 1013–1041. https://doi.org/10.1093/bjps/axz010 picture_as_pdf
  • Paseau, A. C., Wrigley, Wesley (2025). Lakatos and the Euclidean Programme. In Frigg, Roman, Alexander, J. McKenzie, Hudetz, Laurenz, Rédei, Miklos, Ross, Lewis, Worrall, John (Eds.), Proofs and Research Programmes: Lakatos at 100 (pp. 47 - 67). Springer Nature. https://doi.org/10.1007/978-3-031-88213-5_4 picture_as_pdf
  • Redhead, Michael (2001). Quests of a realist. Metascience, 10(3), 341-347. https://doi.org/10.1007/BF02914824
  • Reiss, Julian (2008). Social capacities. In Bovens, Luc, Hoefer, Carl, Hartmann, Stephan (Eds.), Nancy Cartwright’s Philosophy of Science (pp. 265-288). Routledge.
  • Roberts, Bryan W. (2022). Reversing the arrow of time. Cambridge University Press. https://doi.org/10.1017/9781009122139 picture_as_pdf
  • Roberts, Bryan W. (2017). Three myths about time reversal in quantum theory. Philosophy of Science, 84(2), 315 - 334. https://doi.org/10.1086/690721
  • Roussos, Joe (2020). Policymaking under scientific uncertainty [Doctoral thesis]. London School of Economics and Political Science.
  • Rédei, Miklós (2024). George Polya’s reaction to Imre Lakatos’ ’Proofs and Refutations’. In Daniel, G., Mate, Sz., Tuboly, A.T. (Eds.), Lakatos in Hungary. A narrated source book . Springer. picture_as_pdf
  • Salis, Fiora (2019). The new fiction view of models. British Journal for the Philosophy of Science, https://doi.org/10.1093/bjps/axz015 picture_as_pdf
  • Sartori, Lorenzo (2024). Epistemic representation beyond models: thought experiments, specimens, and pictures [Doctoral thesis]. London School of Economics and Political Science. https://doi.org/10.21953/lse.00004754
  • Schnell, Alexandra K., Browning, Heather, Birch, Jonathan (24 March 2022) Octopus farms raise huge animal welfare concerns - and they’re unsustainable too. The Conversation. picture_as_pdf
  • Schulz, Armin (2013). The benefits of rule following: a new account of the evolution of desires. Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences, 44(4 A), 595-603. https://doi.org/10.1016/j.shpsc.2013.09.006
  • Schulz, Armin W. (2013). Overextension: the extended mind and arguments from evolutionary biology. European Journal for Philosophy of Science, 3(2), 241-255. https://doi.org/10.1007/s13194-013-0066-1
  • Shenker, Orly R. (2001). Science: freedom and reason: comments on Mara Beller's quantum dialogue. Iyyun: the Jerusalem Philosophical Quarterly, 50, 55-62.
  • Sober, Elliott, Wilson, David Sloan (2001). Authors' response [to commentators on "Unto others"]. Metascience, 10(2), 202-208. https://doi.org/10.1007/BF02914843
  • Steele, Katie Siobhan (2012). The scientist qua policy advisor makes value judgments. Philosophy of Science, 79(5), 893-904. https://doi.org/10.1086/667842
  • Steele, Katie Siobhan, Carmel, Yohay, Cross, Jean, Wilcox, Chris (2009). Uses and misuses of multicriteria decision analysis (MCDA) in environmental decision making. Risk Analysis, 29(1), 26-33. https://doi.org/10.1111/j.1539-6924.2008.01130.x
  • Steele, Katie, Werndl, Charlotte (2018). Model-selection theory: the need for a more nuanced picture of use-novelty and double-counting. British Journal for the Philosophy of Science, 69(2), 351-375. https://doi.org/10.1093/bjps/axw024
  • Thoma, Johanna (2015). The epistemic division of labor revisited. Philosophy of Science, 82(3), 454 - 472. https://doi.org/10.1086/681768
  • Van Ravenzwaaij, D., Bakker, M., Heesen, Remco, Romero, F., Van Dongen, N., Crüwell, S., Field, S. M., Held, L., Munafò, M. R. & Pittelkow, M. M. et al (2023). Perspectives on scientific error. Royal Society Open Science, 10(7). https://doi.org/10.1098/rsos.230448 picture_as_pdf
  • Vredenburgh, Kate (2023). Limits of the numerical the abuses and uses of quantification, ed. C. Newfield, A. Alexandrova and S. John. University of Chicago Press, 2022, 317 pages. Economics and Philosophy, 1 - 6. https://doi.org/10.1017/S0266267123000275 picture_as_pdf
  • Werndl, Charlotte (2012). Probability, indeterminism and biological processes. In Dieks, Dennis, Gonzalez, Wenceslao J., Hartmann, Stephan, Stöltzner, Michael, Weber, Marcel (Eds.), Probabilities, Laws and Structures (pp. 263-277). Springer Berlin / Heidelberg. https://doi.org/10.1007/978-94-007-3030-4
  • Werndl, Charlotte (2009). The formulation and justification of mathematical definitions illustrated by deterministic chaos. In Suárez, Mauricio, Dorato, Mauro, Rédei, Miklós (Eds.), Epsa Philosophical Issues in the Sciences: Launch of the European Philosophy of Science Association (pp. 279-288). Springer Berlin / Heidelberg.
  • Werndl, Charlotte (2011). On the observational equivalence of continuous-time deterministic and indeterministic descriptions. European Journal for Philosophy of Science, 1(2), 193-225. https://doi.org/10.1007/s13194-010-0011-5
  • Werndl, Charlotte (2009). What are the new implications of chaos for unpredictability? British Journal for the Philosophy of Science, 60(1), 195-220. https://doi.org/10.1093/bjps/axn053
  • Werndl, Charlotte, Frigg, Roman (2020). Ehrenfest and Ehrenfest-Afanassjewa on why Boltzmannian and Gibbsian calculations agree. In Uffink, Jos, Valente, Giovanni, Werndl, Charlotte, Zuchowski, Lena (Eds.), The Legacy of Tatjana Afanassjewa: Philosophical Insights from the Work of an Original Physicist and Mathematician (pp. 85 - 99). Springer Berlin / Heidelberg. https://doi.org/10.1007/978-3-030-47971-8_4 picture_as_pdf
  • Werndl, Charlotte, Frigg, Roman (2011). Entropy: a guide for the perplexed. In Beisbart, Claus, Hartmann, Stephan (Eds.), Probabilities in Physics (pp. 115-142). Oxford University Press.
  • Werndl, Charlotte, Frigg, Roman (2017). Mind the gap: Boltzmannian versus Gibbsian equilibrium. Philosophy of Science, 84(5), 1289-1302. https://doi.org/10.1086/694088
  • Werndl, Charlotte, Frigg, Roman (2020). Taming abundance: on the relation between Boltzmannian and Gibbsian statistical mechanics. In Allori, Valia (Ed.), Statistical Mechanics and Scientific Explanation: Determinism, Indeterminism and Laws of Nature (pp. 617 - 646). World Scientific (Firm). picture_as_pdf
  • White, Lucie, van Basshuysen, Philippe, Khosrowi, Donal, Frisch, Mathias (4 August 2021) How models change the world – and what we should do about it. LSE COVID-19 Blog. picture_as_pdf
  • Worrall, John (2010). Evidence: philosophy of science meets medicine. Journal of Evaluation in Clinical Practice, 16(2), 356-362. https://doi.org/10.1111/j.1365-2753.2010.01400.x
  • Worrall, John (2010). For universal rules, against induction. Philosophy of Science, 77(5), 740-753. https://doi.org/10.1086/656823
  • Worrall, John (2002). Philosophy of science: classic debates, standard problems, future prospects. In Machamer, Peter, Silberstein, Michael (Eds.), The Blackwell Guide to the Philosophy of Science (pp. 18-36). Blackwell Publishing Ltd..
  • Worrall, John (2000). Pragmatic factors in theory-acceptance. In Newton-Smith, William (Ed.), A Companion to the Philosophy of Science (pp. 349-357). Blackwell Publishing Ltd..
  • Worrall, John (2005). Theory-confirmation and history. In Cheyne, Colin, Worrall, John (Eds.), Rationality and Reality: Conversations With Alan Musgrave (pp. 31-62). Kluwer Academic Publishers.
  • Wüthrich, Adrian (2016). Heisenberg’s Umdeutung: a case for a (quantum-)dialogue between history and philosophy of science. In Sauer, Tilman, Scholl, Raphael (Eds.), The Philosophy of Historical Case Studies . Springer Berlin / Heidelberg.
  • Wüthrich, Adrian (2015). The Higgs discovery as a diagnostic causal inference. Synthese, https://doi.org/10.1007/s11229-015-0941-8
  • Zakharova, Daria (2024-06-10 - 2024-07-05) In search of spider consciousness [Poster]. Displays of power: LSE Festival exhibition 2024, London School of Economics and Political Science, London, United Kingdom, GBR. picture_as_pdf
  • Zou, Binjie (2025). Science communication in non-ideal contexts. Episteme, https://doi.org/10.1017/epi.2025.10057 picture_as_pdf
  • van Basshuysen, Philippe (2023). Austinian model evaluation. Philosophy of Science, 1-10. https://doi.org/10.1017/psa.2023.24 picture_as_pdf
  • Psychological and Behavioural Science
  • Bauer, Martin W., Schiele, Bernard (Eds.) (2024). AI and common sense: ambitions and frictions. Routledge. https://doi.org/10.4324/9781032626192
  • Entradas, Marta, Bauer, Martin W. (Eds.) (2022). Public communication of research universities ‘arms race’ for visibility or science substance? Routledge. https://doi.org/10.4324/9781003027133
  • Bauer, Martin W., Schiele, Bernard (Eds.) (2023). Science communication: taking a step back to move forward. CNRS Éditions.
  • Bauer, Martin W. (Ed.) (1995). Resistance to new technology: nuclear power, information technology and biotechnology. Cambridge University Press.
  • Bauer, Martin W., Shukla, Rajesh, Allum, Nick (Eds.) (2012). The culture of science: how the public relates to science across the globe. Routledge.
  • Bauer, Martin, Durant, John (1992). Mapping European public understanding of science: a re-analysis of the open question included in the eurobarometer survey no 31 on S&T from 1989. The Science Museum.
  • Bauer, Martin, Ragnarsdottir, Asdis, Rudolfsdottir, Annadis, Durant, John (1995). Science and technology in the British press, 1946-1990: a systematic content analysis of the press. The Science Museum.
  • Bauer, Martin W. (2002). Arenas, platforms, and the biotechnology movement. Science Communication, 24(2), 144-161. https://doi.org/10.1177/107554702237841
  • Bauer, Martin W. (2025). Artificial intelligence and common sense. Metode, 15(4), 1 - 3. https://doi.org/10.7203/metode.15.30565
  • Bauer, Martin W. (2002). Controversial medical and agri-food biotechnology: a cultivation analysis. Public Understanding of Science, 11(2), 93-111. https://doi.org/10.1088/0963-6625/11/2/301
  • Bauer, Martin W. (2006). Garantindo os benefícios de uma moratória Lavouras transgênicas no Brasil: especialmente a de soja (1995 - 2004). Revista Plenarium, 3(3), 216-243.
  • Bauer, Martin W. (1997). 'La longue duree' of popular science, 1830-present. In Deveze-Berthet, D. (Ed.), la Promotion De la Culture Scientifique et Technique: Ses Acteur et Leurs Logic, Actes du Colloque des 12 et 13 Decembre 1996 (pp. 75-92). Université Paris VII-Denis Diderot.
  • Bauer, Martin W. (2013). Los cambios en la cultura de la ciencia en Espana, 1989-2010. In Percepción Social de la Ciencia y la Tecnología en España 2012 (pp. 191-226). Fundación Española para la Ciencia y la Tecnología (FECYT).
  • Bauer, Martin W. (2008). Paradigm change for science communication: commercial science needs a critical public. In Cheng, Donghong, Claessens, Michel, Gascoigne, Toss, Metcalfe, Jenni, Schiele, Bernard, Shi, Shunke (Eds.), Communicating Science in Social Contexts (pp. 7-25). Springer Berlin / Heidelberg. https://doi.org/10.1007/978-1-4020-8598-7_1
  • Bauer, Martin W. (1995). Resistance to new technology and its effects on nuclear power, information technology and biotechnology. In Bauer, Martin W. (Ed.), Resistance to New Technology: Nuclear Power, Information Technology and Biotechnology (pp. 1 - 42). Cambridge University Press. https://doi.org/10.1017/CBO9780511563706.002
  • Bauer, Martin W. (2012). Science culture and its indicators. In Schiele, Bernard, Claessens, Michel, Shi, Shunke (Eds.), Science Communication in the World: Practices, Theories and Trends (pp. 295-312). Springer Berlin / Heidelberg. https://doi.org/10.1007/978-94-007-4279-6_20
  • Bauer, Martin W. (1995). Technophobia: a misleading conception of resistance to new technology. In Bauer, Martin W. (Ed.), Resistance to New Technology: Nuclear Power, Information Technology and Biotechnology (pp. 97 - 124). Cambridge University Press. https://doi.org/10.1017/CBO9780511563706.006
  • Bauer, Martin W. (1995). Towards a functional analysis of resistance. In Bauer, Martin W. (Ed.), Resistance to New Technology: Nuclear Power, Information Technology and Biotechnology (pp. 393 - 418). Cambridge University Press. https://doi.org/10.1017/CBO9780511563706.020
  • Bauer, Martin W. (1998). The medicalisation of science news: from the 'rocket-scalpel' to the 'gene-meteorite' complex. Social Science Information, 37(4), 731-751. https://doi.org/10.1177/053901898037004009
  • Bauer, Martin W. (2006). The vicissitudes of public understanding of science: from literacy to science in society. Science Popularization, 10, 14-22.
  • Bauer, Martin W., Gaskell, George (2002). Pesquisa qualitativa con texto, imagem e som: um manual prático. Editora Vozes.
  • Bauer, Martin W., Gaskell, George, Allum, Nick, Durant, John, Allansdottir, Agnes, Bonfadelli, Heinz, Boy, Daniel, de Cheveigné, Suzanne, Fjaestad, Björn & Guttelin, Jan M. et al (2000). Biotechnology and the European public. Nature Biotechnology, 18(9), 935-938. https://doi.org/10.1038/79403
  • Bauer, Martin W., Gaskell, George, Durant, John, Midden, Cees, Liakopoulous, Miltos, Scholten, Liesbeth (2000). Two cultures of public understanding of science and technology in Europe. In Dierkes, Meinolf, von Grote, Claudia (Eds.), Between Understanding and Trust : the Public, Science and Technology (pp. 131-156). Routledge.
  • Bauer, Martin W., Gregory, J. (2004). CPS INC: l'avenir de la communication de la science. In Schiele, Bernard, Jantzen, Real (Eds.), Les Nouveaux Territoires De la Culture Scientifique (pp. 41-65). Presses Universitaires de Lyon.
  • Bauer, Martin W., Howard, Susan (2012). Public Understanding of Science: a peer-review journal for turbulent times. Public Understanding of Science, 21(3), 258-267. https://doi.org/10.1177/0963662512443407
  • Bauer, Martin W., Howard, Susan (2013). The culture of science in modern Spain : an analysis of public attitudes across time, age cohorts and regions. Lável Industria Gráfica.
  • Bauer, Martin W., Jensen, Pablo (2011). The mobilization of scientists for public engagement. Public Understanding of Science, 20(1), 3-11. https://doi.org/10.1177/0963662510394457
  • Bauer, Martin W., Petkova, Kristina, Boyadjieva, Pepka (2000). Public knowledge of and attitudes to science: alternative measures that may end the "science war". Science, Technology and Human Values, 25(1), 30-51.
  • Bauer, Martin W., Petkova, Kristina, Boyadjieva, Pepka, Gornev, Galin (2006). Long-term trends in the public representation of science across the 'iron curtain': Britain and Bulgaria, 1946-95. Social Studies of Science, 36(1), 99-131. https://doi.org/10.1177/0306312705053349
  • Bauer, Martin W., Sartawi, Mohammad, Sammut, Gordon (2024). Worldviews and attitudes to science in Kuwait: the engagement threshold hypothesis. (LSE Middle East Centre Kuwait Programme Paper Series 27). LSE Middle East Centre. picture_as_pdf
  • Bauer, Martin W., Schiele, B., Amyot, M., Benoit, C. (1994-04-11 - 1994-04-13) Science and technology in the British press - 1946 to 1986 [Paper]. When Science Becomes Culture, Montreal, Canada, CAN.
  • Bauer, Martin W., Schiele, Bernard (2024). AI goes to the movies: fast, intermediate and slow common sense. In Bauer, Martin W., Schiele, Bernard (Eds.), AI and Common Sense: Ambitions and Frictions (pp. 241 - 252). Taylor and Francis. https://doi.org/10.4324/9781032626192-23
  • Bauer, Martin W., Schiele, Bernard (2023). Introduction. In Bauer, Martin W., Schiele, Bernard (Eds.), Science communication: taking a step back to move forward . CNRS Éditions.
  • Bauer, Martin W., Schiele, Bernard (2024). When artificial intelligence meets common sense, frictions will arise. In Bauer, Martin W., Schiele, Bernard (Eds.), AI and Common Sense: Ambitions and Frictions (pp. 3 - 10). Routledge. https://doi.org/10.4324/9781032626192-2
  • Bauer, Martin W., Suerdem, A. (2016-09-19 - 2016-09-21) Relating ‘science culture’ and innovation [Paper]. OECD Blue Sky Forum on Science and Innovation Indicators 2016, Ghent, Belgium, BEL.
  • Bauer, Martin W., Suerdem, Ahmet (2016-09-19 - 2016-09-21) Developing science culture indicators through text mining and online media monitoring [Paper]. OECD Blue Sky Forum on Science and Innovation Indicators 2016, Ghent, Belgium, BEL.
  • Bauer, Martin W. (2024). AI with common sense what concept of common sense? In Bauer, Martin W., Schiele, Bernard (Eds.), AI and Common Sense: Ambitions and Frictions (pp. 13 - 29). Routledge. https://doi.org/10.4324/9781032626192-4 picture_as_pdf
  • Bauer, Martin W. (2022). Ciência popular como imunização cultural - recuperar a função de resistência das representações sociais. In Pires Valentim, Joaquim (Ed.), Representações Sociais: Para conhecer o senso comum (pp. 125 - 148). Edições Sílabo. picture_as_pdf
  • Bauer, Martin W. (2017). No time for experts? Trust in science after the BREXIT vote of 23 June 2016. In Schiele, B., LeMarec, J. (Eds.), Cultures de Science (pp. 91-99). Acfas.
  • Bauer, Martin W. (2023). Notes on attitudes to science – let us investigate the ‘longue durée’ in comparison. In Bauer, Martin W., Schiele, Bernard (Eds.), Science communication: taking a step back to move forward . CNRS Éditions. picture_as_pdf
  • Bauer, Martin W. (2008). Survey research and the public understanding of science. In Bucchi, Massimiano, Trench, Brian (Eds.), Handbook of Public Communication of Science and Technology (pp. 111-130). Routledge.
  • Bauer, Martin W. (2009). The evolution of public understanding of science - discourse and comparative evidence. Science, Technology and Society, 14(2), 221-240. https://doi.org/10.1177/097172180901400202
  • Bauer, Martin W., Entradas, Marta (2022). An emerging “arms race”: resourcing the public communication effort. In Entradas, Marta, Bauer, Martin W. (Eds.), Public Communication of Research Universities: ‘Arms Race’ for Visibility or Science Substance? (pp. 97 - 115). Routledge. https://doi.org/10.4324/9781003027133-8 picture_as_pdf
  • Bauer, Martin w. (2022). Hypothesis. In Glăveanu, Vlad Petre (Ed.), The Palgrave Encyclopedia of the Possible (pp. 1 - 10). Springer International (Firm). https://doi.org/10.1007/978-3-319-98390-5_193-1 picture_as_pdf
  • Cornish, Flora, Gillespie, Alex, Zittoun, Tania, Baucal, Aleksandar (2007). Editorial introduction: special issue: collaborative research and the culture of science. Integrative Psychological and Behavioral Science, 41(2), 121-123. https://doi.org/10.1007/s12124-007-9020-0
  • Entradas, Marta, Bauer, Martin W., O'Muircheartaigh, Colm, Marcinkowski, Frank, Okamura, Asako, Pellegrini, Giuseppe, Besley, John, Massarani, Luisa, Russo, Pedro & Dudo, Anthony et al (2020). Public communication by research institutes compared across countries and sciences building capacity for engagement or competing for visibility? PLOS ONE, 15(7). https://doi.org/10.1371/journal.pone.0235191 picture_as_pdf
  • Entradas, Marta, Feng, Yan, Sousa, Inês Carneiro e (2026). The ‘shades of grey’ in research integrity—researchers admit to questionable research practices that they do not perceive to be serious. PLOS ONE, 21(1). https://doi.org/10.1371/journal.pone.0339056 picture_as_pdf
  • Entradas, Marta, Marcelino, Joana, Bauer, Martin W., Lewenstein, Bruce (2019). Public communication by climate scientists what, with whom and why? Climatic Change, 154(1-2), 69-85. https://doi.org/10.1007/s10584-019-02414-9 picture_as_pdf
  • Entradas, Marta, Santos, João M. (2021). Returns of research funding are maximised in media visibility for excellent institutes. Humanities and Social Sciences Communications, 8(1). https://doi.org/10.1057/s41599-021-00884-w picture_as_pdf
  • Fauquet-Alekhine, Philippe, Lahlou, Saadi (2017). The Square of PErceived ACtion model (SPEAC model) applied in digital ethnography for work activity analysis: performance and workers’ perception. Current Journal of Applied Science and Technology, 22(3), CJAST.34985. https://doi.org/10.9734/CJAST/2017/34985
  • Gaskell, George (2000). Agricultural biotechnology and public attitudes in the European Union. AgBioForum, 3(2-3), 87-96.
  • Gaskell, George (2004). Science policy and society: the British debate over GM agriculture. Current Opinion in Biotechnology, 15(3), 241-245. https://doi.org/10.1016/j.copbio.2004.04.008
  • Gaskell, George (2003). Seeds of discontent. Risk & Regulation, (6), p. 6.
  • Gaskell, George, Allum, Nick (2001). Sound science, problematic publics? Contrasting representations of risk and uncertainty. Notizie di Politeia, 17(63), 13-25.
  • Gaskell, George, Allum, Nick, Bauer, Martin, Jackson, Jonathan, Howard, Susan, Lindsey, Nicola (2003). Climate change for biotechnology?: UK public opinion 1991-2002. AgBioForum, 6(1-2), 55-67.
  • Gaskell, George, Einsiedel, Edna, Hallman, William, Priest, Susanna Hornig, Jackson, Jonathan, Olsthoorn, Johannus (2005). Social values and the governance of science. Science, 310(5756), 1908-1909. https://doi.org/10.1126/science.1119444
  • Gillespie, Alex (2013). Self. In Oviedo, Lluis, Runehov, Anne (Eds.), Encyclopedia of Sciences and Religions . Springer Berlin / Heidelberg.
  • Gillespie, Alex, Glăveanu, Vlad, de Saint Laurent, Constance (2024). Pragmatism and methodology: doing research that matters with mixed methods. Cambridge University Press. https://doi.org/10.1017/9781009031066 picture_as_pdf
  • Goddard, Alex, Gillespie, Alex (2023). Textual indicators of deliberative dialogue: a systematic review of methods for studying the quality of online dialogues. Social Science Computer Review, 41(6), 2364 - 2385. https://doi.org/10.1177/08944393231156629 picture_as_pdf
  • Josten, Cecily, Lordan, Grace (14 December 2023) How the most recent AI wave affects jobs. LSE Business Review. picture_as_pdf
  • Kalampalikis, Nikos, Bauer, Martin W., Apostolidis, Thémis (2013). Science, technology and society: the social representations approach. Revue Internationale de Psychologie Sociale, 26(3), 5-9.
  • Kotecha, Meena (2025). In conversation with Meena Kotecha on mixed methods research design. https://doi.org/10.4135/9781036230791 video_file
  • Kotecha, Meena (2024). Mathematics anxiety and its impact on the learning experience of statistics and research methods. https://doi.org/10.4135/9781529694079 video_file
  • Kronberger, Nicole, Dahinden, Urs, Allansdottir, Agnes, Seger, Nina, Pfenning, Uwe, Gaskell, George, Allum, Nick, Rusanen, Timo, Montali, Lorenzo & Wagner, Wolfgang et al (2001). "The train departed without us": public perceptions of biotechnology in ten European countries. Notizie di Politeia, 17(63), 26-36.
  • Krpan, Dario, Sayess, Dima, Koaik, Fatima, Philippe Farajalla, George, Shrestha, Pujen, Schnider, Robin (4 March 2025) How agentic AI can be applied to behavioural science. LSE Business Review. picture_as_pdf
  • Mills, Stuart (2024). Deceptive choice architecture and behavioral audits: a principles‐based approach. Regulation and Governance, 18(4), 1426 - 1441. https://doi.org/10.1111/rego.12590 picture_as_pdf
  • Oliveira, Monique, Barata, Germana, Fleerackers, Alice, Alperin, Juan Pablo, Falade, Bankole, Bauer, Martin W. (2024). Bridging science communication and open science - working inclusively toward the common good. Frontiers in Communication, 9, https://doi.org/10.3389/fcomm.2024.1473268 picture_as_pdf
  • Slingerland, Edward, D., Atkinson Quentin, Ember, Carol R, Sheehan, Oliver, Muthukrishna, Michael, Bulbulia, Joseph, Gray, Russell D (2020). Coding culture: challenges and recommendations for comparative cultural databases. Evolutionary Human Sciences, 2, https://doi.org/10.1017/ehs.2020.30 picture_as_pdf
  • Todorov, V., Petkova, K., Bauer, Martin W. (2009). In search of the universal dimensions of Public Perception of Science. Science, Technology and Society, 14(2), 331-347. https://doi.org/10.1177/097172180901400206
  • Uher, Jana (2022). Functions of units, scales and quantitative data: fundamental differences in numerical traceability between sciences. Quality and Quantity, 56(4), 2519 - 2548. https://doi.org/10.1007/s11135-021-01215-6 picture_as_pdf
  • Uher, Jana (2014). Fundamental challenges of contemporary “personality” research: comment on “personality from a cognitive-biological perspective” by Y. Neuman. Physics of Life Reviews, 11(4), 695-696. https://doi.org/10.1016/j.plrev.2014.10.005
  • Uher, Jana (2013). Personality psychology: lexical approaches, assessment methods, and trait concepts reveal only half of the story - why it is time for a paradigm shift. Integrative Psychological and Behavioral Science, 47(1), 1-55. https://doi.org/10.1007/s12124-013-9230-6
  • Wells, Andrew J. (2006). Rethinking cognitive computation: Turing and the science of the mind. Palgrave Macmillan.
  • Wells, Andrew J. (1999). Rose's homeodynamic perspective is not an alternative to Neo-Darwinism. Behavioral and Brain Sciences, 22(5), 911-912. https://doi.org/10.1017/S0140525X9951220X
  • Zulato, Edoardo, Bauer, Martin W. (2023). Mapping antibiotics awareness across European regions. In Bauer, Martin W., Schiele, Bernard (Eds.), Science communication: taking a step back to move forward . CNRS Éditions.
  • STICERD
  • Baltagi, Badi, Hidalgo, Javier, Li, Qi (1996). A nonparametric test for poolability using panel data. Journal of Econometrics, 75(2), 345-367. https://doi.org/10.1016/0304-4076(95)01779-8
  • Dolado, Juan J., Hidalgo, Javier (1990). The asymptotic distribution of the iterated Gauss-Newton estimators of an ARIMA process. Econometric Theory, 6(4), 490-494. https://doi.org/10.1017/S0266466600005570
  • Hidalgo, Javier (1992). Adaptive estimation in time serise regression models with heteroskedasticity of unknown form. Econometric Theory, 8(02), 161-187. https://doi.org/10.1017/S0266466600012743
  • Hidalgo, Javier (1992). Adaptive semiparametric estimation in the presence of autocorrelation of unknown form. Journal of Time Series Analysis, 13(1), 47-78. https://doi.org/10.1111/j.1467-9892.1992.tb00094.x
  • Hidalgo, Javier (2002). Consistent order selection with strongly dependent data and its application to efficient estimation. Journal of Econometrics, 110(2), 213-239. https://doi.org/10.1016/S0304-4076(02)00094-5
  • Hidalgo, Javier (2009). Goodness of fit for lattice processes. Journal of Econometrics, 151(2), 113-128. https://doi.org/10.1016/j.jeconom.2009.03.003
  • Hidalgo, Javier (1996). Spectral analysis for bivariate time series with long memory. Econometric Theory, 12(05), 773-792. https://doi.org/10.1017/S0266466600007155
  • Hidalgo, Javier (1995). A nonparametric conditional moment test for structural stability. Econometric Theory, 11(04), p. 671. https://doi.org/10.1017/S0266466600009683
  • Hidalgo, Javier, Soulier, Philippe (2004). Estimation of the location and exponent of the spectral singularity of a long memory process. Journal of Time Series Analysis, 25(1), 55-81. https://doi.org/10.1111/j.1467-9892.2004.00337.x
  • Hidalgo, Javier, Yajima, Y. (2002). Prediction in the frequency domain under long-range processes with application to the signal extraction problem. Econometric Theory, 18(03), 584-624. https://doi.org/10.1017/S0266466602183022
  • Robinson, P. M., Hidalgo, Javier (1997). Time series regression with long-range dependence. Annals of Statistics, 25(1), 77-104. https://doi.org/10.1214/aos/1034276622
  • Schankerman, Mark (2009). Comments on "A policy shaped research agenda on the economics of science and technology". In Foray, Dominique (Ed.), The New Economics of Techonolgy Policy . Edward Elgar.
  • Smith, Leonard A., Stern, Nicholas (2011). Uncertainty in science and its role in climate policy. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 369(1956), 4818-4841. https://doi.org/10.1098/rsta.2011.0149
  • School of Public Policy
  • Cirone, Alexandra (2024). Approaching historical data collection with causal inference in mind. In Jenkins, Jeffery A. (Ed.), Causal Inference and American Political Development: New Frontiers (pp. 305 - 315). Springer. https://doi.org/10.1007/978-3-031-74913-1_15
  • Dunleavy, Patrick, Bastow, Simon, Tinkler, Jane (2008). The impact and value of the Foresight research programme: report to Foresight from the LSE Public Policy Group. London School of Economics and Political Science. Public Policy Group. picture_as_pdf
  • Howlett, Marnie (2022). Looking at the "field" through a Zoom lens: methodological reflections on conducting online research during a global pandemic. Qualitative Research, 22(3), 387 - 402. https://doi.org/10.1177/1468794120985691 picture_as_pdf
  • Social Policy
  • Bauer, Martin W. (2000). Science in the media as cultural indicator: contextualizing surveys with media analysis. In Dierkes, Meinolf, von Grote, Claudia (Eds.), Between Understanding and Trust: the Public, Science and Technology (pp. 157-178). Routledge.
  • Bohk-Ewald, Christina, Li, Peng, Myrskylä, Mikko (2018). Forecast accuracy hardly improves with method complexity when completing cohort fertility. Proceedings of the National Academy of Sciences of the United States of America, 115(37), 9187-9192. https://doi.org/10.1073/pnas.1722364115 picture_as_pdf
  • Cuevas Ruiz, Pilar, Sanz, Ismael, Sevilla, Almudena (2023). Explaining the mathematics gender gap: the role of stereotypes. In Banerjee, Anindya (Ed.), Oxford Research Encyclopedia of Economics and Finance . Oxford University Press. https://doi.org/10.1093/acrefore/9780190625979.013.892
  • Gallop, A., Brown, Jennifer (2014). The market future for forensic science services in England and Wales. Policing, 8(3), 254-264. https://doi.org/10.1093/police/pau021
  • Kneipp, Shawn M., Gilleskie, Donna, Sheely, Amanda, Schwartz, Todd, Gilmore, Robert M., Atkinson, Daryl (2014). Nurse scientists overcoming challenges to lead transdisciplinary research teams. Nursing Outlook, 62(5), 352-361. https://doi.org/10.1016/j.outlook.2014.05.002
  • Mladovsky, Philipa, Mossialos, Elias, McKee, Martin (2008). Improving access to research data in Europe. British Medical Journal, 336(7639), 287-288. https://doi.org/10.1136/bmj.39409.633576.BE
  • Mossialos, Elias, Simpkin, Victoria L., Keown, Oliver, Darzi, Ara (2016). Staff, drugs, research, TTIP, patients: how would Brexit affect the NHS?
  • Naci, Huseyin, Cooper, Jacob, Mossialos, Elias (2015). Timely publication and sharing of trial data: opportunities and challenges for comparative effectiveness research in cardiovascular disease. European Heart Journal - Quality of Care and Clinical Outcomes, https://doi.org/10.1093/ehjqcco/qcv012
  • Parsons, Samantha Jayne, Platt, Lucinda (2016). Enhancing social surveys through the postal collection of shed milk teeth: an example of large-scale cost-effective collection on a longitudinal study. Survey Research Methods, 10(1), 1-14. https://doi.org/10.18148/srm/2016.v10i1.6233
  • Srivastava, Divya, Scarbrough, Harry, Stavropoulou, Charitini (2020). Current regulatory challenges to support the spread of digital health technologies: CHIR Report. (CHIR Reports). Centre for Healthcare Innovation Research, City, University of London.
  • Trigg, Richard, Jones, Roy W., Knapp, Martin, King, Derek, Lacey, Loretto A. (2015). The relationship between changes in quality of life outcomes and progression of Alzheimer's disease: results from the Dependence in AD in England 2 longitudinal study. International Journal of Geriatric Psychiatry, 30(4), 400-408. https://doi.org/10.1002/gps.4150
  • Sociology
  • Singh, Ilina, Sinnott-Armstrong, Walter P., Savulescu, Julian (Eds.) (2013). Bioprediction, biomarkers, and bad behavior: scientific, legal and ethical challenges. Oxford University Press (U.S.).
  • Hackett, Edward J., Amsterdamska, Olga, Lynch, Michael, Wajcman, Judy (Eds.) (2008). The handbook of science and technology studies. MIT Press.
  • Amorese, Valentina (2010). From public understanding of GMOs to scientists’ understanding of public opinion: a case study of the listening capacity of scientists in the UK and Italy [Doctoral thesis]. London School of Economics and Political Science. picture_as_pdf
  • Bauer, Martin W. (2012). Public attention to science, 1820‐2010 - a ‘longue duree’ picture. In Rodder, Simone, Franzen, Martina, Weingart, Peter (Eds.), The Sciences’ Media Connection: Public Communication and Its Repercussions (pp. 35-58). Springer Berlin / Heidelberg. https://doi.org/10.1007/978-94-007-2085-5_3
  • Benz, Pierre, Rossier, Thierry (2022). Is interdisciplinarity distinctive? Scientific collaborations through research projects in natural sciences. Social Science Information, 61(1), 179 - 214. https://doi.org/10.1177/05390184221077787 picture_as_pdf
  • Burchell, Kevin, Franklin, Sarah, Holden, Kerry (2009). Public culture as professional science: final report of the ScoPE project (scientists on public engagement: from communication to deliberation?). BIOS (Centre for the Study of Bioscience, Biomedicine, Biotechnology and Society).
  • Chang, Hasok, Leonelli, Sabina (2005). Infrared metaphysics: the elusive ontology of radiation. Part 1. Studies in the History and Philosophy of Science: Part A, 36(3), 477-508. https://doi.org/10.1016/j.shpsa.2005.06.010
  • Friese, Carrie (29 September 2025) A mouse in a cage - a feeling for the rights of another species. LSE European Politics and Policy (EUROPP) blog. picture_as_pdf
  • Friese, Carrie, Becker, Gay, Nachtigall, Robert D. (2008). Older motherhood and the changing life course in the era of assisted reproductive technologies. Journal of Aging Studies, 22(1), 65-73. https://doi.org/10.1016/j.jaging.2007.05.009
  • Friese, Carrie (2025). The shadow bodies of mice: invisible work in translational medicine. Science, Technology and Human Values, 50(2), 299 - 320. https://doi.org/10.1177/01622439241276276 picture_as_pdf
  • Friese, Carrie, Holmes, Tarquin (2020). Making the anaesthetised animal into a boundary object: an analysis of the 1875 Royal Commission on Vivisection. History and Philosophy of the Life Sciences, 42(4). https://doi.org/10.1007/s40656-020-00344-9 picture_as_pdf
  • Friese, Carrie, Latimer, Joanna (2019). Entanglements in health and wellbeing: working with model organisms in biomedicine and bioscience. Medical Anthropology Quarterly, 33(1), 120-137. https://doi.org/10.1111/maq.12489
  • Friese, Carrie, Nuyts, Nathalie (2018). From the Principles to the Animals (Scientific Procedures) Act. A commentary on how and why the 3Rs became central to laboratory animal governance in the UK. Science, Technology and Human Values, 43(4), 742-747. https://doi.org/10.1177/0162243917743792
  • Message, Reuben (2016). Science on social media.
  • November, Valérie, Camacho-Hübner, Eduardo, Latour, Bruno (2010). Entering a risky territory: space in the age of digital navigation. Environment and Planning D: Society and Space, 28(4), 581-599. https://doi.org/10.1068/d10409
  • Nuyts, Nathalie, Friese, Carrie (2023). Communicative patterns and social networks between scientists and technicians in a culture of care: discussing morality across a hierarchy of occupational spaces. Social and Cultural Geography, 24(1), 11 - 30. https://doi.org/10.1080/14649365.2021.1901976 picture_as_pdf
  • Rose, Nikolas (2001). Biopolitics in the twenty first century - notes for a research agenda. Distinktion: Scandinavian Journal of Social Theory, (3), 25-44.
  • Rose, Nikolas (2001). Normality and pathology in a biological age. Outlines, 1, 19-34.
  • Rose, Nikolas (2001). The politics of life itself. Theory, Culture & Society, 18(6), 1-30. https://doi.org/10.1177/02632760122052020
  • Ryder, Oliver A., Friese, Carrie, Greely, Henry T., Sandler, Ronald, Saragusty, Joseph, Durrant, Barbara S., Redford, Kent H. (2020). Exploring the limits of saving a subspecies the ethics and social dynamics of restoring northern white rhinos (Ceratotherium simum cottoni). Conservation Science and Practice, 2(8). https://doi.org/10.1111/csp2.241 picture_as_pdf
  • Sklair, Leslie (2024). Book review: Towards a new research era a global comparison of research distortions by Marek Hrubec and Emil Višňovský (eds). Critical Sociology, 50(3), 561 - 564. https://doi.org/10.1177/08969205241237037 picture_as_pdf
  • Thompson, Charis (2015). CRISPR: move beyond differences. Nature, 522(7557), p. 415. https://doi.org/10.1038/522415a
  • Thompson, Charis (2014). Good science: the ethical choreography of stem cell research. MIT Press.
  • Thompson, Charis (2014). Designing for the life sciences: the epistemology of elite life science real estate. Tecnoscienza: Italian Journal of Science & Technology Studies, 5(2), 43 - 58.
  • Turkmendag, Ilke, Fox, Marie, Thompson, Charis, Murphy, Thérèse (2019). What’s law got to do with good science? Social and Legal Studies, 28(3), 392-413. https://doi.org/10.1177/0964663919834173 picture_as_pdf
  • Statistics
  • Alistarh, Dan, Grubic, Demjan, Li, Jerry Z., Tomioka, Ryota, Vojnovic, Milan (2017). QSGD: communication-efficient SGD via gradient quantization and encoding. arXiv. picture_as_pdf
  • Ayzenberg, Vladislav, Chen, Yunxiao, Yousif, Sami R., Lourenco, Stella F. (2019). Skeletal representations of shape in human vision: evidence for a pruned medial axis model. Journal of Vision, 19(6), 1-21. https://doi.org/10.1167/19.6.6 picture_as_pdf
  • Bartholomew, David J. (2000). God or chance. In Stannard, Russell (Ed.), God for the 21st Century (pp. 147-149). Templeton Foundation Press.
  • Bartholomew, David J., Allerhand, Michael, Deary, Ian J. (2013). Measuring mental capacity: Thomson's bonds model and Spearman's g-model compared. Intelligence and National Security, 41(4), 222-233. https://doi.org/10.1016/j.intell.2013.03.007
  • Bergsma, Wicher P, Rapcsak, Tamás (2005). An exact penalty method for smooth equality constrained optimization with application to maximum likelihood estimation. EURANDOM.
  • Bröcker, Jochen, Smith, Leonard A. (2007). Increasing the reliability of reliability diagrams. Weather and Forecasting, 22(3), 651-661. https://doi.org/10.1175/WAF993.1
  • Bröcker, Jochen, Smith, Leonard A. (2007). Scoring probabilistic forecasts: the importance of being proper. Weather and Forecasting, 22(2), 382-388. https://doi.org/10.1175/WAF966.1
  • Di Lazzaro, Paolo, Atkinson, Anthony C., Iacomussi, Paola, Riani, Marco, Ricci, Marco, Wadhams, Peter (2020). Statistical and proactive analysis of an inter-laboratory comparison: the radiocarbon dating of the Shroud of Turin. Entropy, 22(9). https://doi.org/10.3390/e22090926 picture_as_pdf
  • Du, Hailiang, Smith, Leonard A. (2014). Pseudo-orbit data assimilation. part I: the perfect model scenario. Journal of the Atmospheric Sciences, 71(2), 469-482. https://doi.org/10.1175/JAS-D-13-032.1
  • Du, Hailiang, Smith, Leonard A. (2014). Pseudo-orbit data assimilation. part II: the perfect model scenario. Journal of the Atmospheric Sciences, 71(2), 483-495. https://doi.org/10.1175/JAS-D-13-033.1
  • Fellmann, Reinhard (2021). Essays in tail risk and asset pricing in credit markets [Doctoral thesis]. London School of Economics and Political Science. https://doi.org/10.21953/lse.00004404
  • Frigg, Roman, Bradley, Seamus, Machete, Reason L., Smith, Leonard A. (2013). Probabilistic forecasting: why model imperfection is a poison pill. In Andersen, Hanne, Dieks, Dennis, Gonzalez, Wenceslao, Ubel, Thomas, Wheeler, Gregory (Eds.), New Challenges to Philosophy of Science (pp. 479-492). Springer Berlin / Heidelberg.
  • Gibbs, Peter, Hanlon, Michael, Hardaker, Paul, Hawkins, Ed, MacDonald, Averil, Maskell, Kathy, Mayfield, Heather, Mclean, Angela, Morris, Elizabeth & Mylne, Ken et al (2013). Making sense of uncertainty: why uncertainty is part of science. Sense About Science.
  • Howard, J. V., Gal, S. (2005). Rendezvous-evasion search in two boxes. Operations Research, 53(4), 689-697. https://doi.org/10.1287/opre.1040.0198
  • Kardaras, Constantinos, Platen, Eckhard (2011). On the semimartingale property of discounted asset-price processes. Stochastic Processes and Their Applications, 121(11), 2678-2691. https://doi.org/10.1016/j.spa.2011.06.010
  • Koukounari, Artemis, Moustaki, Irini, Grassly, Nicholas C., Blake, Isobel M., Basanez, Maria-Gloria, Gambhir, Manoj, Mabey, David, Bailey, Robin L., Burton, Matthew J. & Solomon, Anthony W. et al (2013). Using a nonparametric multilevel latent Markov model to evaluate diagnostics for trachoma. American Journal of Epidemiology, 177(9), 913-922. https://doi.org/10.1093/aje/kws345
  • Lin, Xihong, Cai, Tianxi, Donoho, David, Fu, Haoda, Ke, Tracy, Jin, Jiashun, Meng, Xiao-Li, Qu, Annie, Shi, Chengchun & Song, Peter et al (2025). Statistics and AI: a fireside conversation. Harvard Data Science Review, 7(2). https://doi.org/10.1162/99608f92.c066fe9c picture_as_pdf
  • Lopez, Ana, Suckling, Emma B., Smith, Leonard A. (2014). Robustness of pattern scaled climate change scenarios for adaptation decision support. Climatic Change, 122(4), 555-566. https://doi.org/10.1007/s10584-013-1022-y
  • McSharry, P. E., Clifford, G. D., Tarassenko, L., Smith, Leonard A. (2003). A dynamical model for generating synthetic electrocardiogram signals. IEEE Transactions on Biomedical Engineering, 50(3), 289-294. https://doi.org/10.1109/TBME.2003.808805
  • McSharry, P.E., Smith, Leonard A., Tarassenko, L. (2003). Comparison of predictability of epileptic seizures by a linear and a nonlinear method. IEEE Transactions on Biomedical Engineering, 50(5), 628-633. https://doi.org/10.1109/TBME.2003.810688
  • McSharry, Patrick E., Ellepola, Jerome H., von Hardenberg, Jost, Smith, Leonard A., Kenning, David B. R., Judd, Kevin (2002). Spatio-temporal analysis of nucleate pool boiling: identification of nucleation sites using non-orthogonal empirical functions. International Journal of Heat and Mass Transfer, 45(2), 237-253. https://doi.org/10.1016/S0017-9310(01)00152-1
  • Mellor, Florence K. (1984). Particulate dispersal in a time dependent flow [in Dynamic differentiation, summer study program in Geophysical Fluid Dynamics, Woods Hole Oceanographic Institution]. (WHOI technical report 84-44). Woods Hole Oceanographic Institution.
  • Moustaki, Irini (2003). Latent variable models with covariates. In Kevork, Kōnst Ēl, Tzōrtzopoulos, P, Panaretos, John (Eds.), Stochastic Musings : Perspectives From the Pioneers of the Late 20th Century: a Volume in Celebration of the 13 Years of the Dep (pp. 117-128). Lawrence Erlbaum Associates.
  • Moustaki, Irini, Marcoulides, George. A (2002). Locating "don't know", "no answer" and middle alternatives on an attitude scale: a latent variable approach. In Marcoulides, G, Moustaki, Irini (Eds.), Latent Variable and Latent Structure Models (pp. 15-41). Lawrence Erlbaum Associates.
  • Orrell, David, Smith, Leonard A. (2003). Visualising bifurcations in high dimensional systems: the spectral bifurcation diagram. International Journal of Bifurcation and Chaos, 13(10), 3015-3027. https://doi.org/10.1142/S0218127403008387
  • Riani, Marco, Atkinson, Anthony C., Fanti, Giulio, Crosilla, Fabio (2013). Regression analysis with partially labelled regressors: carbon dating of the Shroud of Turin. Statistics and Computing, 23(4), 551-561. https://doi.org/10.1007/s11222-012-9329-5
  • Roulston, M.S., Smith, Leonard A. (2004). The boy who cried wolf revisited: the impact of false alarm intolerance on cost-loss scenarios. Weather and Forecasting, 19(2), 391-397. https://doi.org/10.1175/1520-0434(2004)019<0391:TBWCWR>2.0.CO;2
  • Roulston, Mark S., Smith, Leonard A. (2002). Evaluating probabilistic forecasts using information theory. Monthly Weather Review, 130(6), 1653-1660. https://doi.org/10.1175/1520-0493(2002)130<1653:EPFUIT>2.0.CO;2
  • Smith, Leonard A. (1991). Applied chaos: quantifying complex systems. In Atmanspacher, H. (Ed.), Information Dynamics (pp. 97-102). Plenum Press.
  • Smith, Leonard A. (2007). Chaos: a very short introduction. Oxford University Press.
  • Smith, Leonard A. (1993). Does a meeting in Santa Fe imply chaos? In Weigend, Andreas S., Gershenfeld, Neil A. (Eds.), Time Series Prediction:Forecasting the Future and Understanding the Past: Proceedings of the Nato Advanced Research Workshop on (pp. 323-344). Addison-Wesley.
  • Smith, Leonard A. (2007). Letters to the editor: unproven theories have value.
  • Smith, Leonard A. (1990). Quantifying chaos through predicitve flows and maps: computing unstable periodic orbits. In Abraham, Neal B., Albano, Alfonso (Eds.), Measures of Complexity and Chaos (pp. 359-366). Plenum Press.
  • Smith, Leonard A. (2002). What might we learn from climate forecasts? Proceedings of the National Academy of Sciences of the United States of America, 99(Suppl.), 2487-2492. https://doi.org/10.1073/pnas.012580599
  • Smith, Leonard A. (1995). A personal overview of nonlinear time-series analysis from a chaos perspective - comments. Scandinavian Journal of Statistics, 22(4), 435-437.
  • Smith, Leonard A., Petersen, Arthur (2014). Variations on reliability: connecting climate predictions to climate policy. In Boumans, Marcel, Petersen, Arthur, Hon, Giora (Eds.), Error and uncertainty in scientific practice (pp. 137-156). Pickering & Chatto.
  • Smith, Leonard A., Roulston, Mark S, von Hardenberg, Jost (2001). End to end ensemble forecasting: towards evaluating the economic value of an ensemble prediction system. (Technical memorandum 336). European Centre for Medium-Range Weather Forecasts.
  • Smith, Leonard A., Stern, Nicholas (2011). Uncertainty in science and its role in climate policy. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 369(1956), 4818-4841. https://doi.org/10.1098/rsta.2011.0149
  • Thieberger, R., Spiegel, E. A., Smith, Leonard A. (1990). The dimensions of cosmic fractals. In Krasner, Saul (Ed.), The Ubiquity of Chaos (pp. 197-217.). American Association for the Advancement of Science.
  • Toth, Csaba, Oberhauser, Harald, Szabo, Zoltan (2025). Random Fourier signature features. SIAM Journal on Mathematics of Data Science, 7(1), 329 - 354. https://doi.org/10.1137/23M1620478 picture_as_pdf
  • Volodina, Victoria, Wheatcroft, Edward, Wynn, Henry (2022). Comparing district heating options under uncertainty using stochastic ordering. Sustainable Energy, Grids and Networks, 30, https://doi.org/10.1016/j.segan.2022.100634 picture_as_pdf
  • Weisheimer, Antje, Smith, Leonard A., Judd, Kevin (2005). A new view of forecast skill: bounding boxes from the DEMETER ensemble seasonal forecasts. Tellus Series A: Dynamic Meteorology and Oceanography, 57(3), 265-279. https://doi.org/10.1111/j.1600-0870.2005.00106.x
  • Ziehmann-Schlumbohm, C., Fraedrich, K., Smith, Leonard A. (1995). Ein internes Vorhersagbarkeitsexperiment im Lorenz-Modell. Meteorologische Zeitschrift, 4(1), 16-21.
  • Systemic Risk Centre
  • Briola, Antonio, Aste, Tomaso (2023). Topological feature selection. Proceedings of Machine Learning Research, 221, 534 - 556. picture_as_pdf
  • Kirtac, Kemal, Germano, Guido (2024). Sentiment trading with large language models. Finance Research Letters, 62(Part B), p. 105227. https://doi.org/10.1016/j.frl.2024.105227 picture_as_pdf
  • Koh, Victoria, Li, Weihua, Livan, Giacomo, Capra, Licia (2019). Offline biases in online platforms: a study of diversity and homophily in Airbnb. EPJ Data Science, 8(1). https://doi.org/10.1140/epjds/s13688-019-0189-5 picture_as_pdf
  • Nava, Noemi, Di Matteo, T., Aste, Tomaso (2018). Dynamic correlations at different time-scales with empirical mode decomposition. Physica A: Statistical Mechanics and Its Applications, 502, 534-544. https://doi.org/10.1016/j.physa.2018.02.108
  • Wang, Yuanrong, Briola, Antonio, Aste, Tomaso (2023). Homological neural networks: a sparse architecture for multivariate complexity. Proceedings of Machine Learning Research, 221, 228 - 241.
  • Urban and Spatial Programme
  • Bosquet, Clément, Combes, Pierre-Philippe (2013). Do large departments make academics more productive? agglomeration and peer effects in research. (SERC Discussion Papers SERCDP0133). Spatial Economics Research Centre, London School of Economics and Political Science.
  • Overman, Henry G. (2011). Science parks.
  • What Works Centre
  • Overman, Henry G. (2011). Science parks.