A collaborative effort between Caltech and the University of Cambridge researchers to solve society’s most pressing challenges.
Research Highlights •
Research Highlights •
Research themes
Computational social sciences
Responsible AI
Climate action
Caltech Members
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PI: R. Michael Alvarez
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Cong Cao
Postdoctoral Instructor in Science, Society, and Public Policy
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Danny Ebanks
Visitor in Social Sciences
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Ezra Johnson
Undergraduate Student
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Beatrice Magistro
Postdoctoral Scholar Research Associate in Computational Social Science
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Tharani Weerasooriya
Graduate Student in Social Sciences
Cambridge Members
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PI: Ramit Debnath
Assistant Professor and Cambridge Zero Fellow, University of Cambridge. Director of Cambridge Collective Intelligence & Design Group and co-director of climaTRACES lab.
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Haiming Luo
PhD Candidate (Earth Sciences)
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Sharan Maiya
MRes-PhD candidate (AI for Environmental Risk)
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Tianzhu Qin
MPhil Candidate (Cambridge Judge Business School)
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Cuicheng Zhang
MPhil (Cambridge)
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Pengyu Zhang
PhD Candidate (Engineering)
Publications
2024
Cologna, V., ..., Alvarez, R.M., Debnath, R. , ..., Zwann, RA., (2024). Trust in scientists and their role in society across 68 countries. Nature Human Behaviour. (Accepted, in press). Preprint: https://osf.io/preprints/osf/6ay7s
Nielsen, K.S., Bauer, J.M., Debnath, R. , Emogor, C.A., Geiger, S.M., Ghai, S., Gwozdz, W., and Hahnel, U.J.J., (2024), Underestimation of personal carbon footprint inequality in four diverse countries . Nature Climate Change, https://www.nature.com/articles/s41558-024-02130-y
Debnath, R. (2024). Communicating my value. Science, AAAS. Vol 385, Issue 6710. https://doi.org/10.1126/science.ziylh46
Mede, N., ..., Alvarez, R.M., Debnath, R. , ..., Zwann, RA., (2024). Perceptions of Science, Science Communication, and Climate Change Attitudes in 67 Countries The TISP Dataset. Scientific Data, Nature Portfolio. http://dx.doi.org/10.13140/RG.2.2.12813.10721 (Accepted, in press)
Debnath, R., and Lin, YT., (2024). A better count of heat-related deaths needed to help the vulnerable, Nature India. https://doi.org/10.1038/d44151-024-00084-w
Magistro, B., Abramson, C., Ebanks, D., Debnath, R., and Alvarez, R.M. (2024). Identifying American climate change free riders and motivating sustainable behavior, Scientific Reports, Nature Portfolio. https://doi.org/10.1038/s41598-024-57042-w
Kann, C., Ebanks, D., Morrier, J., & Alvarez, R. M. (2024). Persuadable voters decided the 2022 midterm: Abortion rights and issues-based frameworks for studying election outcomes. Plos one. https://doi.org/10.1371/journal.pone.0294047
Alvarez, R. M., & Morrier, J. (2024). Issue Responsiveness in Canadian Politics: Are Parties Responsive to the Public Salience of Climate Change in the Question Period?. Political Research Quarterly. https://journals.sagepub.com/doi/full/10.1177/10659129231194270
Kocielnik, R., Li, Z., Kann, C., Sambrano, D., Morrier, J., Linegar, M., ... & Alvarez, R. M. (2024). Challenges in moderating disruptive player behavior in online competitive action games. Frontiers in Computer Science. https://doi.org/10.3389/fcomp.2024.1283735
Debnath, R., Zhang, P., Qin, T., Alvarez, R.M., and Fitzgerald, S.D.(2024). Deciphering public attention to geoengineering and climate issues using machine learning and dynamic analysis. (Preprint) https://arxiv.org/abs/2405.07010
Cao, C., Debnath, R., and Alvarez, R.M.(2024). Physics-based deep learning reveals rising heating demand heightens air pollution in Norwegian cities. (Preprint) https://arxiv.org/abs/2405.04716
2023
Linegar, M., Kocielnik, R., & Alvarez, R. M. (2023). Large language models and political science. Frontiers in Political Science. https://doi.org/10.3389/fpos.2023.1257092
Debnath, R., Ebanks, D., Roulet, T., Mohaddes, K. and Alvarez, R.M. (2023). Do fossil fuel firms reframe online climate and sustainability communication? A data-driven analysis, npj Climate Action, Nature Portfolio https://doi.org/10.1038/s44168-023-00086-x
Alvarez, R.M., Debnath, R., and Ebanks, D. (2023). Why don’t Americans trust university researchers and why it matters for climate change, PLOS Climate https://doi.org/10.1371/journal.pclm.0000147
Debnath, R., Reiner, D. M., Sovacool, B. K., Müller-Hansen, F., Repke, T., Alvarez, R. M., and Fitzgerald, S. D. (2023). Conspiracy spillovers and geoengineering. iScience, Cell Press, https://doi.org/10.1016/j.isci.2023.106166
Debnath, R., van der Linden, S., Sovacool, BK, and Alvarez, RM (2023). Facilitating system-level behavioral climate action using computational social science. Nature Human Behaviour, https://doi.org/10.1038/s41562-023-01527-7
Kann, C., Hashash, S., Steinert-Threlkeld, Z., & Alvarez, R. M. (2023). Collective identity in collective action: evidence from the 2020 summer BLM protests. Frontiers in Political Science. https://doi.org/10.3389/fpos.2023.1185633
Müller-Hansen, F., Repke, T., Baum, C.M., Brutschin, E., Callaghan, M.W., Debnath, R., Lamb, W.L., Low, S., Lück, S., Roberts, C., Sovacool, B.K., Minx, J.C. (2023). Attention, sentiments and emotions towards emerging climate technologies on Twitter, Global Environmental Change, Elsevier https://doi.org/10.1016/j.gloenvcha.2023.102765
Debnath, R., Creutzig, F., Sovacool, B.K., and Shuckburgh, E. (2023). Harnessing human and machine intelligence for planetary scale climate action, npj Climate Action, Nature portfolio, https://doi.org/10.1038/s44168-023-00056-3
Ali, M., Couto, L.C., Unsworth, S., and Debnath, R. (2023). Bridging the divide in energy policy research: Empirical evidence from global collaborative networks. Energy Policy,https://doi.org/10.1016/j.enpol.2022.113380
Kocielnik, R., Prabhumoye, S., Zhang, V., Alvarez, R. M., & Anandkumar, A. (2023). Autobiastest: Controllable sentence generation for automated and open-ended social bias testing in language models. arXiv (preprint). https://arxiv.org/abs/2302.07371
2022
Debnath, R., Bardhan, R., Shah, D.U., Mohaddes, K., Ramage, M.H., Alvarez, RM., and Sovacool, B.K. (2022) Social media enables people-centric climate action in the hard-to-decarbonise building sector. Scientific Reports, Nature Portfolio, https://www.nature.com/articles/s41598-022-23624-9
Research in the news
The New York Times (2024) They Could Decide the 2024 Election. If They Vote.
Nature (2024) Largest post-pandemic survey finds trust in scientists is high
University of Cambridge (2023) Emissions and Evasions
Harvard Kennedy School (2023) Study: US voters who distrust university researchers less likely to believe in climate change
New American (2023) Study Attempts to Discover Why Americans Don’t Trust the “Consensus” on Climate Change
TIME (2023) There’s a Bit of Truth To Some Climate Conspiracy Theories. But That Doesn’t Make Them Right
Independent UK (2023) Conspiracy theories about geoengineering are harming research, scientists claim