CONTACT ME

© 2017–2019 by Tim Pleskac.

What I do

 

I study how people make judgments and decisions; how these processes shape behavior at the individual, group, and organizational level; and how we can help people make better judgments and decisions. I investigate these questions with computational modeling and methods from the behavioral, cognitive, and neuro- sciences. When I’m not at my desk you can find me running, biking, rowing, or out in the woods. In a parallel world, I own my own bike shop in the Midwest.

 
 
COMPUTATIONAL DECISION SCIENCE

Decisions, almost by definition, link our thoughts to our actions. My research uses computational models to characterize this critical link forcing us to specify the mental processes (i.e., memory, learning, or reward evaluation) involved in making a decision, the environments those choices take place in, and the interaction between the person and the environment. By taking this approach, we develop a better understanding of how the mind works and formulate mathematical models to help individuals, groups, and organizations, make better decisions.

RESEARCH AWARDS

 Jane Beattie Scientific Research Award for Innovative Research, European Association for Decision Making, 2015

National Science Foundation CAREER Award, 2010

Hillel Einhorn Young Investigator Award, Society for Judgment and Decision Making, 2008

 

 
 
 

 

 

 

Book

Hertwig, R., Pleskac, T. J., Pachur, T, & the Center for Adaptive Rationality (2019). Taming Uncertainty. MIT Press: Cambridge, MA. https://mitpress.mit.edu/books/taming-uncertainty

 

Recent manuscripts and publications

 

Pleskac, T. J., Conradt, L., Lueker, C., & Hertwig, R. (invited for resubmission) The ecology of competition: A theory of risk-reward environments in adaptive decision making. Invited for resubmission at Psychological Review http://doi.org/10.31234/osf.io/ewzcb

Leuker, C.*, Samartzidis, L., Hertwig, R., & Pleskac, T. J. (under review). When money talks: Judging risk and coercion in high-paying clinical trials.  http://doi.org/10.17605/OSF.IO/9P7CB

 

Johnson, D., J., Pleskac, T. J.,  Terrill, W., Gagnon, G. & Cesario,  J. Modeling Police Officers’ Deadly Force Decisions in an Immersive Shooting Simulator

Litvinova, A., Herzog, S. M., Krall, A. A., Pleskac, T. J., & Hertwig, R.  (submitted) Boosting the accuracy of confidence judgments using the wisdom of the inner crowd: Ecological and empirical analyses.

 

Zdziarska, P.*, Yu, S.*, & Pleskac, T. J. (under revision) Mapping the time course of confidence judgments during facial recognition decisions. 

 

Albrecht, R., Hoffman, J. A., Pleskac, T. J., Rieskamp, J., & von Helversen, B., (resubmitted). Unstacking Judgments: What Response Distributions Reveal About the Cognitive Process in Multiple-Cue Judgments. 

..........................................

Leuker, C.*, Pachur, T., Hertwig, R., & Pleskac, T. J.† (in press) Do People Exploit Risk–Reward Structures To Simplify Information Processing in Risky Choice? Journal of the Economic Science Association http:// 10.31234/osf.io/kjc3r

 

Dai, J.*, Pachur, T., Pleskac, T. J., & Hertwig, R. (in press). What the future holds and when: A description-experience gap in intertemporal choice. Psychological Science.

Leuker, C.*, Pachur, T., Hertwig, R., & Pleskac, T. J. (in press). Too good to be true? Psychological responses to surprising options in risk–reward environments. Journal of Behavioral Decision Making. https://doi.org/10.1002/bdm.2116 

 

Bhatia, S., & Pleskac, T. J. (2019). Preference accumulation as a process model of desirable ratings. Cognitive Psychology, 109, 47-67. https://doi.org/10.1016/j.cogpsych.2018.12.003

 

Pleskac, T. J., Yu, S.*, Hopwood, C., & Liu, T. (2019). Mechanisms of deliberation during preferential choice: Perspectives from computational modeling and individual differences. Decision, 6, 77-107. http://dx.doi.org/10.1037/dec0000092

 

 

Schürman, O.*, Frey, R., & Pleskac, T. J. (2019) Mapping risk perceptions in dynamic risk-taking environments Journal of Behavioral Decision Making, 32, 94-105https://doi.org/10.1002/bdm.2098

 

Johnson, D. J.*, Cesario, J., & Pleskac, T. J. (2018). How Prior Information and Police Experience Impacts Decisions to Shoot. Journal of Personality & Social Psychology, 115(4), 601-623. http://dx.doi.org/10.1037/pspa0000130

 

Hertwig, R., & Pleskac. T. J. 2018). The construct-behavior gap and the description-experience gap: Comment on Regenwetter & Robinson (2017). Psychological Review, 125(5), 844-849. http://dx.doi.org/10.1037/rev0000121

 

Dai, J.*, Pleskac, T. J., & Pachur T. (2018) Dynamic cognitive models of intertemporal choice.  Cognitive Psychology, 104, 29-56. https://doi.org/10.1016/j.cogpsych.2018.03.001

 

Leuker, C.*, Pachur, T., Hertwig, R., & Pleskac, T. J. (2018). Exploiting risk-reward structures in decision making under uncertainty. Cognition, 175, 186-200. https://doi.org/10.1016/j.cognition.2018.02.019

 

Pleskac, T. J., Cesario, J., & Johnson, D.J.* (2018). How race affects evidence accumulation during the decision to shoot. Psychonomic Bulletin & Review. https://doi.org/10.3758/s13423-017-1369-6

 

Leuker, C.*, Pleskac, T. J., Pachur, T., & Hertwig, R. (2017). How the mind exploits risk-reward structures in decisions under risk. Proceedings of the 39th Annual Conference of the Cognitive Science Society. 

 

Dai, J.*, Pleskac, T. J., & Pachur, T., (2017). A dynamic tradeoff model of intertemporal choice. Proceedings of the 39th Annual Conference of the Cognitive Science Society. 

 

Kvam, P. D.*, & Pleskac, T. J. (2017). A quantum information architecture for cue-based heuristics. Decision, 4, 197–233. http://dx.doi.org/10.1037/dec0000070

 

Johnson, D.*, Hopwood, C., Cesario, J., & Pleskac, T. J. (2017). Advancing research on cognitive processes in social and personality psychology: A drift diffusion model primer. Social Psychological and Personality Science, 8, 413–423. https://doi.org/10.1177/1948550617703174

 

Kvam, P. D.*, & Pleskac, T. J. (2016). Strength and weight: The determinants of choice and confidence. Cognition, 152, 170–180. http://dx.doi.org/10.1016/j.cognition.2016.04.008

 

Uitvlugt, M. G., Pleskac, T. J., & Ravizza, S. M. † (2016). The nature of working memory gating in Parkinson’s Disease: A multi-domain signal detection examination. Cognitive, Affective, and Behavioral Neuroscience, 16, 289–301. http://dx.doi.org/10.3758/s13415-015-0389-9 

 

Pleskac, T. J., (2015). Learning models in decision making. In G. Keren & G. Wu (Eds.), The Wiley Blackwell Handbook of Judgment & Decision Making (pp.629–657). Chichester, United Kingdom: John Wiley & Sons. http://dx.doi.org/10.1002/9781118468333.ch22

 

Pleskac, T. J., Diederich, A., & Wallsten, T. S. (2015). Models of decision making under risk and uncertainty. In J. R. Busemeyer, J. T. Townsend, Z. J. Wang, & A. Eidels (Eds.), Oxford Handbook of Computational and Mathematical Psychology (pp. 209–231). New York, NY: Oxford University Press. http://dx.doi.org/10.1093/oxfordhb/9780199957996.013.10

 

Kvam, P. D.*, Pleskac, T. J., Yu, S.,* & Busemeyer, J. R. (2015). Interference effects of choice on confidence: Quantum characteristics of evidence accumulation. Proceedings of the National Academy of Sciences, 112, 10645–10650. http://dx.doi.org/10.1073/pnas.1500688112

 

Yu, S.*, Pleskac, T. J., & Zeigenfuse, M.* (2015). Dynamics of postdecisional processing of confidence. Journal of Experimental Psychology: General, 144, 489–510. http://dx.doi.org/10.1037/xge0000062

 

Pleskac, T. J., & Hertwig, R. (2014). Ecologically rational choice and the structure of the environment. Journal of Experimental Psychology: General, 143, 2000–2019.  http://dx.doi.org/10.1037/xge0000013

 

Zeigenfuse, M.*, Pleskac, T. J., & Liu, T. (2014). Rapid decisions from experience. Cognition, 131, 181–194. http://dx.doi.org/10.1016/j.cognition.2013.12.012

 

Pleskac, T. J., & Wershbale, A.* (2014). Making assessments while taking repeated risks: A pattern of multiple response pathways. Journal of Experimental Psychology: General, 143, 142–162. http://dx.doi.org/10.1037/a0031106
 

...................

Order of authorship is in terms of contribution. I typically give students priority in authorship order.

* graduate student or post doc

† alternative ordering with last author being senior author

 

COURSES
Teaching Awards

Michigan State University, College of Social Science Alumni Association Outstanding Teaching Award, 2013

University of Maryland Distinguished Teaching Assistant, 2002