Alexander L. Davis

Assistant Professor
Department of Engineering and Public Policy
Carnegie Mellon University

Contact:

129 Baker Hall
Department of Engineering and Public Policy
Carnegie Mellon University
5000 Forbes Avenue
Pittsburgh, PA 15213

alexdavis(AT)cmu.edu

Bio:

Alex Davis is an Assistant Professor in the Department of Engineering and Public Policy at Carnegie Mellon University. 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). His research focuses on the behavioral foundations of policy, applied to innovation and entrepreneurship, energy, the environment, health, and information and communication technologies. He teaches graduate courses in applied data analysis (19-704) and stochastic discrete choice models (19-786). Alex earned his B.S. from Northern Arizona University in Psychology (2007) and his M.S. (2009) and Ph.D. (2012) from Carnegie Mellon University in Behavioral Decision Research. He worked as a postdoctoral fellow and research scientist at Carnegie Mellon University prior to joining the faculty at Carnegie Mellon.

Publications:

Preparing for smart grid technologies: A behavioral decision research approach to understanding consumer expectations about smart meters.
Krishnamurti, T., Schwartz, D., Davis, A., Fischhoff, B., Bruine de Bruin, W., Lave, L., & Wang, J. (2011).
Energy Policy, 41, 790-797.

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

Setting a standard for electricity pilot studies.
Davis, A., Krishnamurti, T., Fischhoff, B., & Bruine de Bruin, W. (2013).
Energy Policy, 62, 401–409.

Spend today, clean tomorrow: Predicting methamphetamine abstinence in a randomized controlled trial.
Ling Murtaugh, K., Krishnamurti, T., Davis, A., Reback, C., & Shoptaw, S. (2013).
Health Psychology, 32(9), 958–966.

The problems and solutions of predicting participation in energy efficiency programs.
Davis, A. and Krishnamurti, T. (2013).
Applied Energy, 111, 277–287.

Communicating uncertain experimental evidence.
Davis, A. and Fischhoff, B. (2014).
Journal of Experimental Psychology: Learning, Memory, and Cognition, 40(1), 261–274.

Communicating scientific uncertainty.
Fischhoff, B. and Davis, A. (2014).
Proceedings of the National Academy of Sciences, 111(4), 13664–13671.

Environmental risk perception from visual cues: Caution and sensitivity in evaluating tornado risks.
Dewitt, B., Fischhoff, B., Broomell, S., & Davis, A. (2015).
Environmental Research Letters, 10(12), 124009. 12014.

Integrating social science in climate and energy solutions: A decision science approach.
Wong-Parodi, G., Krishnamurti, T., Davis, A., Schwartz, D., & Fischhoff, B. (2016).
Nature Climate Change, 6, 563569.

Quantifying phishing susceptibility for detection and behavior decisions.
Canfield, C., Fischhoff, B., & Davis, A. (2016).
Human Factors, 58(8), 1158-1172.

MyHealthyPregnancy: A feasibility pilot of a behavioral decision research-based tool for assessing and communicating pregnancy risk.
Krishnamurti, T., Davis, A., Wong-Parodi, G., Fischhoff, B., Sadovsky, Y., & Simhan, H. (2017).
Journal of Medical Internet Research, 5(4), e42.

Providing limited local electric service during a major grid outage: A First Assessment Based on Customer Willingness to Pay.
Baik, S., Morgan, G., & Davis, A. (2017).
Risk Analysis, 38(2), 272-282.

Assessing the cost of large-scale power outages to residential customers.
Baik, S., Davis, A., & Morgan, G. (2017).
Risk Analysis, 38(2), 283-296.

An approach to reconciling competing ethical principles in aggregating heterogeneous health preferences.
Dewitt, B., Davis, A., Fischhoff, B., & Hanmer, J. (2017).
Medical Decision Making, 0272989X17696999.

Replication: Challenges in using data logs to validate phishing detection ability metrics.
Canfield, C., Davis, A., Fischhoff, B., Forget, A., Pearman, S., & Thomas, J. (2017).
Symposium on Usable Privacy and Security (SOUPS).

The local socio-economic impacts of large hydropower plant development in a developing country.
Faria, F., Davis, A., Severnini, E., & Jaramillo, P. (2017).
Energy Economics, 67:533-544.

Are preferences for allocating harm rational?
Davis, A. L., Miller, J. H., & Bhatia, S. (2018).
Decision, 5(4), 287-305. http://dx.doi.org/10.1037/dec0000076

The effect of providing climate and health information on support for alternative electricity portfolios.
Sergi, B., Davis, A. & Azevedo, I.L. (2018).
Environmental Research Letters, 13:024026.

Expert-guided optimization for 3D printing of soft and liquid materials.
Abdollahi, S., Davis, A., Miller, J., & Feinberg., A. (2018).
PLOS ONE, 13(4): e0194890.

Vendor choice and the effectiveness of policies to promote health information exchange.
Castillo, A., Sirbu, M., & Davis, A. (2018).
BMC Health Services Research, 18:405.

Neither a borrower nor a lender be: Energy efficiency decision-making among class B and C offices in Pittsburgh.
Davis, A., Wong-Parodi, G., & Krishnamurti, T. (2018).
Energy Research and Social Science, 47, 37-45.

Comparing and improving cumulative risk perceptions using judgments and choice: Application to flood risks.
De La Maza, C., Davis, A., Azevedo, I., Gonzalez, C. (2018).
Risk Analysis, 9(2), 488-504.

Support for emissions reductions based on immediate and long-term pollution exposure in China.
Sergi, B., Azevedo, I., Xia, T., Xu, J., & Davis, A. (2019).
Ecological Economics, 158, 26-33.

Communicating a Prognosis: A Randomized Trial of Survival Rate Language.
Silver, E., Broomell, S., Davis, A., Krishnamurti, T. (2019).
Journal of General Internal Medicine.

Exclusion criteria as measurements II: Effects on utility and health policy implications.
Dewitt, B., Fischhoff, B., Davis, A., Broomell, S., Roberts, M., & Hanmer, J. (2019).
Medical Decision Making.

Exclusion Criteria as Measurements I: Identifying Invalid Responses.
Dewitt, B., Fischhoff, B., Davis, A., Broomell, S., Roberts, M., & Hanmer, J. (2019).
Medical Decision Making.

A method to include preference uncertainty in benefit-cost analysis illustrated with an application to minimize disruptions from a large power blackout.
Baik, S., Davis, A., & Morgan, M.G. (2019).
Risk Analysis.

Better Beware: Comparing Metacognition for Phishing and Legitimate Emails.
Canfield, C., Fischhoff, B., & Davis, A. (2019).
Metacognition and Learning.

Comparing physician and artificial intelligence prediction of clinical deterioration in hospitalized general internal medicine patients.
Arnold, J., Davis, A., Fischhoff, B., Yecies, E., Grace, J., Klobuka, A., Mohan, D., & Hanmer, J. (2019).
BMJ Open.

Worrying Yourself Sick? Association between Preeclampsia Onset and Health-Related Worry in Pregnancy.
Krishnamurti, T., Davis, A., and Simhan, H. (2019).
Pregnancy Hypertension.

Using graph learning to understand adverse pregnancy outcomes and stress pathways.
Mesner, O., Davis, A., Casman, E., Simhan, H., Shalizi, C., Keenan-Devlin, L., Borders, A., Krishnamurti., T. (2019).
PLOS ONE.