Alex Davis is a research scientist in the Department of Engineering and Public Policy at Carnegie Mellon University (CMU). His research interests centre on how expert, intuitive, and statistical judgments are characterized, communicated, and used for decision-making. He explored these interests in a recent meta-analysis of energy conservation field experiments, finding that they had generally poor methodological quality and reporting, with experimental designs that were likely to bias study results to show effects when there were none, and communications that conveyed too little uncertainty in those effects. His dissertation also used methods and theory from experimental psychology to explore the circumstances under which lay people believe surprising scientific evidence should be communicated.
Dr Davis will contribute experimental work to the research programme.
Fischhoff, B., Davis, A. (2014). Communicating uncertainty. Proceedings of the National Academy of Sciences, 111(4), 13664–13671.
Davis, A., Fischhoff, B. (2014). Communicating uncertain experimental evi- dence. Journal of Experimental Psychology: Learning, Memory, and Cognition, 40(1), 261–274.
Davis, A., Krishnamurti, T., Fischhoff, B., and Bruine de Bruin, W. (2013). Setting a standard for electricity pilot studies. Energy Policy, 62, 401–409.
Ling Murtaugh, K., Krishnamurti, T., Davis, A., Reback, C., and Shoptaw, S. (2013). Spend today, clean tomorrow: Predicting methamphetamine ab- stinence in a randomized controlled trial. Health Psychology, 32(9), 958–966.
Davis, A., Krishnamurti, T. (2013). The problems and solutions of predicting participation in energy efficiency programs. Applied Energy, 111, 277–287.
Krishnamurti, T., Davis, A., Wong-Parodi, G., Wang, J., and Canfield, C. (2013). Creating an in-home display: Experimental evidence and guidelines for design. Applied Energy, 108, 448–458.
Krishnamurti, T., Schwartz, D., Davis, A., Fischhoff, B., Bruine de Bruin, W., Lave, L., and Wang, J. (2011). Preparing for smart grid technologies: A behavioral decision research approach to understanding consumer expectations about smart meters. Energy Policy, 41, 790–797.