Robert Mislavsky is an assistant professor on the research track. He joined Johns Hopkins Carey Business School in 2018. He primarily studies how people interpret probabilities and how this informs their preferences and decisions. For example, how confident is someone learns that there is a “60%” chance of success versus a “likely” chance? How does the context or timing of that prediction change how they interpret it? How do these factors influence how they judge the competence of people who make correct or incorrect predictions?
In addition to these questions, he studies a variety of topics related to judgment and decision-making, such as how people evaluate the ethics of corporate experiments, what influences donation decisions, and how to incentivize healthy habits. Additional information, including links to publications, research materials, and data sets, is available at robmislavsky.com.
Education
- PhD, Decision Processes, University of Pennsylvania
- MBA, Carnegie Mellon University
Research
Selected publications
- Mislavsky, R., & Gaertig, C. (2024). Premature predictions: Accurate forecasters are not viewed as more competent for earlier predictions. Journal of Experimental Psychology: General, 153(1), 159–170. https://doi.org/10.1037/xge0001487
- Mislavsky, R., & C. Gaertig (2021). Combining Probability Forecasts: 60% and 60% is 60%, but Likely and Likely is Very Likely. Forthcoming at Management Science.
- Beshears, J., H.N. Lee, K.L. Milkman, R. Mislavsky, & J. Wisdom (2020). Creating Exercise Habits Using Incentives: The Tradeoff between Flexibility and Routinization. Forthcoming at Management Science.
- Mislavsky, R., B. Dietvorst, & U. Simonsohn (2020). Critical Condition: People Don’t Dislike a Corporate Experiment More Than They Dislike Its Worst Condition. Marketing Science, 39(6), 1092-1104.
- Mislavsky, R., & U. Simonsohn (2018). When Risk is Weird: Unexplained Transaction Features Lower Valuations. Management Science, 64(11), 5395-5404.
Teaching
Current
- Marketing Research