Matt Meister

Matt studies consumer judgment and decision-making. Matt's research is focused on two topics; (a) how consumers learn from information presented online (and how that information affects their evaluations of past experiences), and (b) how consumers manage financial stress and scarcity. Matt’s research has appeared in the Journal of Consumer Research, Journal of Marketing, and Organizational Behavior and Human Decision Processes. Matt is also a keen proponent of open science, both for replicability and collaboration. All data and code used in his research is available through his website (mattmeister.com). This includes Python code for web-scraping, and the R package specster, a set of flexible, multicore functions to create specification curves to test robustness of statistical results.

As an instructor, Matt loves to teach statistics and data analytics to both graduate and undergraduate students, among the changing nature of education due to AI. These classes focus on building intuition for topics like regression, ANOVA, and more advanced econometrics and machine-learning. Then, this intuition is tested through hands-on work in R.

• Behavioral research methods
• Quantitative social science
• Web-scraping
• R Programming

• Judgment and Decision-Making
• Consumers' Evaluations of Products
• Consumer Financial Decision-Making
• Open Science

• Member, USF SOM Diversity, Equity, and Inclusion Committee (2024–2026)
• Member, USF SOM Centennial Celebration Committee (2024–2026)

• University of Colorado Boulder, PhD in Marketing, 2023
• Ivey Business School at Western University, HBA, 2018

• Hillel Einhorn New Investigator Award Runner-up (Society for Judgment and Decision Making), 2024
• University of San Francisco Women’s Basketball Honorary Coach, 2024
• University of Colorado Boulder Leeds School of Business Outstanding Doctoral Research Award, 2023
• CARD/Ipsos Dissertation Proposal Competition Runner-up, 2023

• Meister, Matt and Nicholas Reinholtz, (Forthcoming) "Quality Certifications Influence User-Generated Ratings." Journal of Consumer Research.
• Meister, Matt, Joe J. Gladstone, and Emily N. Garbinsky (Equal authorship) (2025) “Opening Up About Money: The Unexpected Benefits of Personal Financial Disclosure.” Published online at Organizational Behavior and Human Decision Processes.
• Meister, Matt and Nicholas Reinholtz, "Quality in Context: Evidence That Consumption Context Influences User-Generated Product Ratings."