2026

Goldwert, D., et al., (2026). A megastudy of behavioral interventions to catalyze public, political, and financial climate advocacy. PNAS Nexus. https://doi.org/10.1093/pnasnexus/pgaf400

Borwein, S., et al. (2026). Explaining Women's Skepticism toward Artificial Intelligence: The Role of Risk Orientation and Risk Exposure. PNAS Nexus. https://doi.org/10.1093/pnasnexus/pgaf399

Borwein, S., et al. (2026). Causal Beliefs and the Potential for Political Backlash Against AI. Public Opinion Quarterly (Forthcoming). Link

Magistro, B., et al. (2026) Attitudes Toward Artificial Intelligence (AI) and Globalization: Common Microfoundations and Political Implications. American Journal of Political Science. https://doi.org/10.1111/ajps.12959

Zhang, C., Cao, C., Zhang, P., Alvarez, R. M., & Debnath, R. (2026). Inequitable efficiency: Unravelling the social and built environment drivers of London's housing energy performance. Energy Policy, 210, 115057. https://doi.org/10.1016/j.enpol.2025.115057

2025

Debnath, R. , Alvarez, R.M., and Ebanks, D. (2025). Why publishing referee reports could backfire on public trust. Nature. https://doi.org/10.1038/d41586-025-02317-z

Cologna, V. et al. (2025). Extreme weather event attribution predicts climate policy support across the world. Nature Climate Change. https://doi.org/10.1038/s41558-025-02372-4

Mede, N., et al. (2025). Public communication about science in 68 countries: Global evidence on how people encounter and engage with information about science. Science Communication. https://doi.org/10.1177/10755470251376615

Cao, C., Debnath, R. and Alvarez, R.M. (2025). Interaction between Climate Factors and Air Quality in Three Norwegian Cities: A machine learning analysis. Atmospheric Environment: X. https://doi.org/10.1016/j.aeaoa.2025.100366

Cao, C., Debnath, R. , and Alvarez, R.M., (2025). Physics-based machine learning for predicting urban air pollution using decadal time series data. Environmental Research Communications, https://iopscience.iop.org/article/10.1088/2515-7620/add795

Magistro, B., Debnath, R. , Ebanks, D., Wennberg, P., and Alvarez, R.M., (2025). Political ideology and views toward solar geoengineering in the United States. PLOS Climate. https://doi.org/10.1371/journal.pclm.0000643

Magistro, B., Debnath, R., Wennberg, P., and Alvarez, R.M., (2025). Partisanship overcomes framing in shaping solar geoengineering perceptions: Evidence from a conjoint experiment. npj Climate Action. Nature Portfolio. https://www.nature.com/articles/s44168-025-00236-3

Cologna, V., et al. (2025). Trust in scientists and their role in society across 68 countries. Nature Human Behaviour. https://www.nature.com/articles/s41562-024-02090-5

Mede, N., et al. (2025). Perceptions of science, science communication, and climate change attitudes in 68 countries – the TISP dataset. Nature Scientific Data. https://www.nature.com/articles/s41597-024-04100-7

2024

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 ‍

Debnath, R., et al. (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