Items where department is "Data Science Institute"

University Structure (106206) LSE (106206) Institutes (1114) Data Science Institute (24)
Number of items: 13.
2025
  • Abdulhadi Alagha, M., Cobb, Justin, Liddle, Alexander D, Malchau, Henrik, Rolfson, Ola, Mohaddes, Maziar (2025). Prediction of implant failure risk due to periprosthetic femoral fracture after primary elective total hip arthroplasty: a simplified and validated model based on 154,519 total hip arthroplasties from the Swedish Arthroplasty Register. Bone and Joint Research, 14(1), 46 - 57. https://doi.org/10.1302/2046-3758.141.BJR-2024-0134.R1 picture_as_pdf
  • 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
  • Dorobantu, Cosmina, Margetts, Helen (29 September 2025) Why AI needs social science. British Politics and Policy at LSE. picture_as_pdf
  • Krenz, Astrid, Strulik, Holger (2025). Automation and the fall and rise of the servant economy. European Economic Review, 172, https://doi.org/10.1016/j.euroecorev.2024.104926 picture_as_pdf
  • Laver, Michael (2025). Peter Allen, How to think about politics: a guide in five parts. Oxford University Press, 2025, 192 pp., ISBN 978-0-19-767936-4. Society, https://doi.org/10.1007/s12115-025-01140-6
  • Laver, Michael (2025). District magnitude and substantive representation. Irish Political Studies, https://doi.org/10.1080/07907184.2025.2553530 picture_as_pdf
  • Ledeatte, Barry (14 March 2025) DeepSeek, ChatGPT and the race towards artificial general intelligence. LSE Business Review. picture_as_pdf
  • Liang, Kaiwei, Liu, Ruirui, Huang, Huichou, Ruf, Johannes, Zhao, Peilin, Wu, Qingyao (2025). Hexagon-net: heterogeneous cross-view aligned graph attention networks for implied volatility surface prediction. In Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (pp. 1671 - 1682). Association for Computing Machinery. https://doi.org/10.1145/3711896.3736996 picture_as_pdf
  • Liu, Ruirui, Huang, Huichou, Ruf, Johannes (2025). Asset pricing with contrastive adversarial variational Bayes. In Kwok, James (Ed.), Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence (pp. 7572 - 7579). International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2025/842 picture_as_pdf
  • Lordan, Grace, Salehzadeh Nobari, Kaveh (2025). Finite-sample non-parametric bounds with an application to the causal effect of workforce gender diversity on firm performance. arXiv. https://doi.org/10.48550/arXiv.2509.01622 picture_as_pdf
  • Luan, Qinmeng, Hamp, James (2025). Automated regime classification in multidimensional time series data using sliced Wasserstein k-means clustering. Data Science in Finance and Economics, 5(3), 387 - 418. https://doi.org/10.3934/DSFE.2025016 picture_as_pdf
  • Ma, Ming, Han, Feng, Wang, Chuyao (2025). Panacea or Pandora’s box: diverse governance strategies for conspiracy theories and their consequences in China. Humanities and Social Sciences Communications, 12(1). https://doi.org/10.1057/s41599-024-04350-1 picture_as_pdf
  • Sallai, Dorottya, Cardoso Silva, Jon, Barreto, Marcos, Kearney, Casey (6 May 2025) Generative AI in education: reshaping the future of learning. Management. picture_as_pdf