Sivaraman, V., Bukowski, L.A., Levin, J.M., Kahn, J.M., & Perer, A. (2023) Ignore, trust, or negotiate: Understanding clinician acceptance of AI-based treatment recommendations in health care. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems.

Levin, J.M., Bukowski, L. A., Minson, J.A., & Kahn, J.M. (2023). The political polarization of COVID-19 treatments among physicians and laypeople in the United States. Proceedings of the National Academy of Sciences, 120(7). 

Press: The Washington Post, The Atlantic, Medpage, San Francisco Chronicle, Ars Technica,,

Levin, J.M., Davis, B., Bukowski, L., & Kahn, J.M. (2022). Willingness to treat with therapies of unknown effectiveness in severe COVID-19: A survey of intensivist physicians. Annals of the American Thoracic Society, 19(4).

Research in process

Malley, B.E., Levin, J.M., Althouse, A.D., Sloman, S.J., Kahn, J.M., Huang, D.T. Do doctors understand Bayesian adaptive trials? Under review.

Levin, J.M. Uncertainty as a signal of competence. 

Girard, T.D., ..., Levin, J.M., et al. The maximizing extubation outcomes through educational and organizational research (METEOR) trial.

Soni, K., Levin, J.M., Davis, B., & Kahn, J.M. Networks and evidence adoption.

Levin, J.M., Fox, C.R., & Ülkümen, G. Naive realism and beliefs about others’ models of uncertainty.

Levin, J.M. When experts disagree: inferring calibration from distributions of judgments.

Levin, J.M. & Fox, C.R. Perceiving randomness in future events.

Levin, J.M., Zlatev, J.J., & Kahn, J.M. Deliberation and the persistence of intuitive causal beliefs.