- About
- Message from the Chair
- History
- Facilities
- News
- Events
- Info Sci Colloquium
- Advancing Responsible AI with Human-Centered Evaluation
- Bowers Distinguished Speaker Series - Julie E. Cohen, Georgetown University Law Center
- From Agents to Optimization: User Interface Understanding and Generation
- The Language of Creation: How Generative AI Challenges Intuitions—and Offers New Possibilities
- IS Engaged
- Graduation Info
- Info Sci Colloquium
- Contact Us
- Courses
- Research
- Computational Social Science
- Critical Data Studies
- Data Science
- Economics and Information
- Education Technology
- Ethics, Law and Policy
- Human-Computer Interaction
- Human-Robot Interaction
- Incentives and Computation
- Infrastructure Studies
- Interface Design and Ubiquitous Computing
- Natural Language Processing
- Network Science
- Social Computing and Computer-supported Cooperative Work
- Technology and Equity
- People
- Career
- Undergraduate
- Info Sci Majors
- BA - Information Science (College of Arts & Sciences)
- BS - Information Science (CALS)
- BS - Information Science, Systems, and Technology
- Studying Abroad
- MPS Early Credit Option
- Independent Research
- CPT Procedures
- Student Associations
- Undergraduate Minor in Info Sci
- Our Students and Alumni
- Graduation Info
- Contact Us
- Info Sci Majors
- Masters
- PHD
- Prospective PhD Students
- Admissions
- Degree Requirements and Curriculum
- Grad Student Orgs
- For Current PhDs
- Diversity and Inclusion
- Our Students and Alumni
- Graduation Info
- Program Contacts and Student Advising

Contact Information
Information Science
211 Uris Hall
dgr7@cornell.edu
David Rand is a Professor of Information Science and Marketing and Management Communications at Cornell University.
Applying the tools of computational social science and cognitive science, David’s research combines behavioral experiments run online and in the field with computational models to understand people’s attitudes, beliefs, and choices. He focuses on exploring how dialogues between humans and generative AI models can be used to correct inaccurate beliefs (e.g. conspiracy theories, health misperceptions), illuminating why people share inaccurate information and what interventions reduce such behaviors, understanding political psychology and polarization, and promoting human cooperation.
David received his B.A. in Computational Biology from Cornell University in 2004 and his Ph.D. in Systems Biology from Harvard University in 2009, was a post-doctoral researcher in Harvard University’s Department of Psychology from 2009 to 2013, and was an Assistant and then Associate Professor (with tenure) of Psychology, Economics, and Management at Yale University from 2013-2018, and an associate and then full professor of Management Science and Brain and Cognitive Sciences at MIT prior to joining Cornell in 2025.