The Behavioral Economics Research and Education (BERE) Lab by Stephen Shu is an effort geared toward helping college students and young professionals with either the empirical or applied practice of behavioral economics. BERE efforts are in support of open science and the advancement of education. Where possible, students or young graduates may be supported by grants, and BERE welcomes opportunities to help students and young graduates obtain grants or corporate sponsorship.
Students and young graduates may pursue exploratory replication studies, expansion research studies, and corporate-focused research (for use in educational settings). Where possible, students are encouraged to develop empirical or professional skills (e.g., R or Stata statistical software, Python programming, communications, writing).
The research theme for 2023 includes exploratory work around the intersection of generative artificial intelligence (AI) and behavioral economics, such as similarities and differences between AI and human decision making across different platforms.
The 2023 lab currently consists of about ten people with a mixture of alumni, graduate students, and undergraduate students from industry, Cornell University, and UCLA and spanning behavioral economics, technology management, and computer science disciplines.
Stephen Shu is a Professor of Practice of Behavioral Economics at Cornell University, Dyson School of Applied Economics and Management. He has more than three decades of industry experience and is perhaps most recognized for helping to incubate some the very first behavioral economics initiatives around the world in the commercial sector. Stephen has a PhD in behavioral finance from City, University of London, an MBA from the University of Chicago, and both an MEng and BS in Electrical Engineering from Cornell University.