Daniel Benjamin

Education:

• PHD - Fordham University - Psychometrics and Quantitative Psychology
• MA - Fordham University - Psychology
• BA - University of North Carolina at Chapel Hill - Mathematics
• BA - University of North Carolina at Chapel Hill - Psychology

Biography

Daniel Benjamin is Assistant Professor of Decision Sciences at the J. Wayne Huizenga College of Business and Entrepreneurship at Nova Southeastern University. Dr. Benjamin researches how complexity influences judgment and decision-making, particularly how humans interact with model output and technology. He applies decision theory to solve problems in policy-relevant settings including geopolitical prediction, meta-research in social and biomedical sciences, perceptions of climate change, and expert judgment.

Dr. Benjamin’s background is in quantitative psychology with expertise in decision theory and behavioral methodology. He received his PhD in 2015 in Psychometrics and Quantitative Psychology from Fordham University. Prior to NSU, he was a postdoctoral fellow at the University of Southern California in the Information Sciences Institute with a joint appointment in the Neely Center for Ethical Leadership and Decision Making and in the Biomedical Ethics Unit at McGill University.

Dr. Benjamin’s work has been supported by DAPRA, IARPA, NSF, CIHR, Genome Canada, and BioCanRx, among others. His paper, "Can cancer researchers accurately judge whether preclinical reports will reproduce?," was covered by NPR, Nature, et al., and was named one of PLoS Biology’s Top Media Hits of 2018.

Current Course Load

• QNT 5000 Foundations of Business Statistics
• QNT 5160 Analytical Modeling for Decision Making

Conference Proceedings

• Morstatter, F., Galstyan, A., Satyukov, G., Benjamin, D., et al. (2019), SAGE: A hybrid geopolitical event forecasting system. Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI-19). doi: 10.24963/ijcai.2019/955

Conference Presentations

• Sethi, R., Morstatter, F., Benjamin, D. M., Seager, J., and Cai, J. (2021), Models, Markets, and the Forecasting of Elections. 41st International Symposium on Forecasting.

• Sethi, R., Morstatter, F., Benjamin, D. M., Seager, J., and Cai, J. (2021), Models, Markets, and the Forecasting of Elections. DIMACS Workshop on Forecasting: From Forecasts to Decisions.

Journals

• Benjamin, D. M., Mandel, D. R., Barnes, T., Krzyzanowska, M., Leighl, N., Tannock, I., & Kimmelman, J. (2021), Can oncologists predict the efficacy of treatments in randomized trials? The Oncologist, 26, 56-62. doi: 10.1634/theoncologist.2020-0054

• Kane, P. B., Benjamin, D. M., Barker, R. A., Lang, A., Sherer, T., & Kimmelman, J. (2020), Comparison of patient and expert perceptions of the attainment of research milestones in Parkinson’s disease. Movement Disorders. doi: 10.1002/mds.28319

• Abeliuk, A., Benjamin, D. M., Morstatter, F., & Galstyan, A. (2020), Quantifying machine influence on human forecasters. Nature Scientific Reports, 10(1), 1-14. doi: 10.1038/s41598-020072690-4

• Kane, P. B., Benjamin, D. M., Barker, R. A., Lang, A., Sherer, T., & Kimmelman, J. (2020), Forecasts for the attainment of major research milestones in Parkinson's disease. Journal of Parkinsons Disease, 10(3):1047-1055. doi: 10.3233/JPD-201933

• Atanasov, P., Diamantaras, A., MacPherson, A., Vinarov, E., Benjamin, D.M., Shrier, I., Paul, F., Dirnagl, U., & Kimmelman, J. (2020), Wisdom of the expert crowd prediction of response for three neurology randomized trials. Neurology, 95(5), e488-e498. doi:10.1212/WNL.0000000000009819

• Benjamin, D. & Budescu, D. (2018), The role of type and source of uncertainty from climate model projections. Frontiers in Psychology. Special research topic: Judgment and decision making under uncertainty: Descriptive, normative, and prescriptive perspectives, 9(403). doi:10.3389/fpsyg.2018.00403

• Benjamin, D., Mandel, D., & Kimmelman, J. (2017), Can cancer researchers accurately judge whether preclinical reports will reproduce? PLoS Biology, 15(6). doi: e2002212.

• Benjamin, D. & Kimmelman, J. (2017), The research optimist’s defense. Perspectives in Biology and Medicine, 59(4), 491-506. doi: 10.1353/pbm.2016.0043.

• Benjamin, D., Por, H. & Budescu, D. (2016). Climate change vs. global warming: Who is susceptible to the framing of climate change? Environment and Behavior, 49(7), 745-770. doi: 10.1177/0013916516664382

• Benjamin, D., & Budescu, D. (2015). Abstract: Local sensitivity drives estimates of conflicting and imprecise forecasts. Multivariate Behavioral Research, 50(6), 739. doi:10.1080/00273171.2015.1121128.

• Benjamin, D., & Budescu, D. (2015). Advice from experience: Communicating incomplete information incompletely. Journal of Behavioral Decision Making, 28, 36-49. doi:10.1002/bdm.1825.