
Daniel Bartels
· Robert S. Hamada Professor of MarketingUniversity of Chicago · Marketing
Active 2004–2026
Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.
About
Daniel M. Bartels is an Associate Professor at the University of Chicago, specializing in judgment and decision making, consumer behavior, moral psychology, and concepts and categories. His research focuses on understanding how individuals make decisions, how they perceive themselves and others, and how these perceptions influence their behavior.
Research topics
- Computer Science
- Social psychology
- Economics
- Psychology
- Mathematics
- Data science
- Cognitive psychology
- Artificial Intelligence
- Statistics
- Political Science
Selected publications
Crowdsourcing hypothesis tests: Making transparent how design choices shape research results.
Psychological Bulletin · 2020 · 180 citations
To what extent are research results influenced by subjective decisions that scientists make as they design studies? Fifteen research teams independently designed studies to answer five original research questions related to moral judgments, negotiations, and implicit cognition. Participants from 2 separate large samples (total N > 15,000) were then randomly assigned to complete 1 version of each study. Effect sizes varied dramatically across different sets of materials designed to test the same…
Journal of Consumer Psychology · 2021 · 91 citations
Senior authorCorrespondingWhy do consumers embrace some algorithms and find others objectionable? The moral relevance of the domain in which an algorithm operates plays a role. The authors find that consumers believe that algorithms are more likely to use maximization (i.e., attempting to maximize some measured outcome) as a decision‐making strategy than human decision makers (Study 1). Consumers find this consequentialist decision strategy to be objectionable in morally relevant tradeoffs and disapprove of algorithms ma…
The More You Ask, the Less You Get: When Additional Questions Hurt External Validity
Journal of Marketing Research · 2021 · 28 citations
Senior authorCorrespondingResearchers and practitioners in marketing, economics, and public policy often use preference elicitation tasks to forecast real-world behaviors. These tasks typically ask a series of similarly structured questions. The authors posit that every time a respondent answers an additional elicitation question, two things happen: (1) they provide information about some parameter(s) of interest, such as their time preference or the partworth for a product attribute, and (2) the respondent increasingly…
A Primer for Evaluating Large Language Models in Social-Science Research
Advances in Methods and Practices in Psychological Science · 2025-04-01 · 20 citations
articleOpen accessAutoregressive large language models (LLMs) exhibit remarkable conversational and reasoning abilities and exceptional flexibility across a wide range of tasks. Subsequently, LLMs are being increasingly used in scientific research to analyze data, generate synthetic data, or even write scientific articles. This trend necessitates that authors follow best practices for conducting and reporting LLM research and that journal reviewers can evaluate the quality of works that use LLMs. We provide autho…
A timeline of cognitive costs in decision-making
Trends in Cognitive Sciences · 2025-05-19 · 10 citations
review
Frequent coauthors
- 40 shared
Eric J. Johnson
Columbia University
- 40 shared
Ye Li
- 38 shared
Antonia Krefeld-Schwalb
Erasmus University Rotterdam
- 37 shared
Olivier Toubia
Columbia University
- 37 shared
Daniel Wall
California University of Pennsylvania
- 29 shared
Oleg Urminsky
University of Chicago
- 13 shared
Nicholas Reinholtz
University of Colorado Boulder
- 11 shared
Justin F. Landy
Nova Southeastern University
Education
- 2007
Ph.D., Cognitive Psychology
Northwestern University
- 2002
M.S., Cognitive Psychology
Northwestern University
- 2001
B.S., Psychology
University of Wisconsin-Green Bay
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