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Alex Davis

Alex Davis, PhD



PhD, Behavioral Decision Research,
Carnegie Mellon University, 2012
MS, Behavioral Decision Research,
Carnegie Mellon University, 2009
BS, Psychology,
Northern Arizona University, 2007

Alexander Davis, PhD, is an Assistant Professor in the Department of Engineering and Public Policy at Carnegie Mellon University. Davis teaches graduate courses in applied data analysis and stochastic discrete choice models. He is a member of the Behavior, Decision, and Policy Group, the Carnegie Electricity Industry Center (CEIC), and the Center for Climate and Energy Decision Making (CEDM). He is currently CMU’s acting director of a multi-year, multi-institutional research project on the relationship between science and proven experience. His work is published broadly in peer-reviewed journals such as Energy Policy, Nature Climate Change, Applied Energy, and the PNAS. Prior to joining the faculty, Davis worked as a postdoctoral fellow and research scientist at Carnegie Mellon University.

Research Interests

The behavioral foundations of policy, applied to innovation and entrepreneurship, energy, the environment, health, and information and communication technologies.


Baik, S., Morgan, M. G., & Davis, A. L. (2017). Providing Limited Local Electric Service During a Major Grid Outage: A First Assessment Based on Customer Willingness to Pay. Risk Analysis. doi:10.1111/risa.12838

Baik, S., Davis, A. L., & Morgan, M. G. (2017). Assessing the Cost of Large-Scale Power Outages to Residential Customers. Risk Analysis. doi:10.1111/risa.12842

Davis, A. L., Miller, J. H., & Bhatia, S. (2017). Are Preferences for Allocating Harm Rational? Decision. doi:10.1037/dec0000076

Dewitt, B., Davis, A., Fischhoff, B., & Hanmer, J. (2017). An Approach to Reconciling Competing Ethical Principles in Aggregating Heterogeneous Health Preferences. Medical Decision Making,37(6), 647-656. doi:10.1177/0272989×17696999

Krishnamurti, T., Davis, A. L., Wong-Parodi, G., Fischhoff, B., Sadovsky, Y., & Simhan, H. N. (2017). Development and Testing of the MyHealthyPregnancy App: A Behavioral Decision Research-Based Tool for Assessing and Communicating Pregnancy Risk. JMIR mHealth and uHealth,5(4). doi:10.2196/mhealth.7036

Canfield, C. I., Fischhoff, B., & Davis, A. (2016). Quantifying Phishing Susceptibility for Detection and Behavior Decisions. Human Factors: The Journal of the Human Factors and Ergonomics Society,58(8), 1158-1172. doi:10.1177/0018720816665025

Wong-Parodi, G., Krishnamurti, T., Davis, A., Schwartz, D., & Fischhoff, B. (2016). A decision science approach for integrating social science in climate and energy solutions. Nature Climate Change,6(6), 563-569. doi:10.1038/nclimate2917

Dewitt, B., Fischhoff, B., Davis, A., & Broomell, S. B. (2015). Environmental risk perception from visual cues: the psychophysics of tornado risk perception. Environmental Research Letters,10(12), 124009. doi:10.1088/1748-9326/10/12/124009

Fischhoff, B., & Davis, A. L. (2014). Communicating scientific uncertainty. Proceedings of the National Academy of Sciences,111(Supplement_4), 13664-13671. doi:10.1073/pnas.1317504111

Davis, A. L., & Fischhoff, B. (2014). Communicating uncertain experimental evidence. Journal of Experimental Psychology: Learning, Memory, and Cognition,40(1), 261-274. doi:10.1037/a0033778

Davis, A. L., Krishnamurti, T., Fischhoff, B., & Bruin, W. B. (2013). Setting a standard for electricity pilot studies. Energy Policy,62, 401-409. doi:10.1016/j.enpol.2013.07.093

Davis, A. L., & Krishnamurti, T. (2013). The problems and solutions of predicting participation in energy efficiency programs. Applied Energy,111, 277-287. doi:10.1016/j.apenergy.2013.04.088

Murtaugh, K. L., Krishnamurti, T., Davis, A. L., Reback, C. J., & Shoptaw, S. (2013). Spend today, clean tomorrow: Predicting methamphetamine abstinence in a randomized controlled trial. Health Psychology,32(9), 958-966. doi:10.1037/a0032922

Krishnamurti, T., Davis, A. L., Wong-Parodi, G., Wang, J., & Canfield, C. (2013). Creating an in-home display: Experimental evidence and guidelines for design. Applied Energy,108, 448-458. doi:10.1016/j.apenergy.2013.03.048

Krishnamurti, T., Schwartz, D., Davis, A., Fischhoff, B., Bruin, W. B., Lave, L., & Wang, J. (2012). Preparing for smart grid technologies: A behavioral decision research approach to understanding consumer expectations about smart meters. Energy Policy,41, 790-797. doi:10.1016/j.enpol.2011.11.047