NSF Grant Supports Measuring and Modeling Collective Intelligence

Publication Date

Collaborative Research: Measuring and Modeling Collective Intelligence
The National Science Foundation
Division of Information & Intelligent Systems, Cyber-Human Systems Program
Award Amount: $173,908 | Effective Dates 01/01/2010 – 12/31/2015 | Award ID: IIS-0963404
Project Personnel: Principal Investigator Christopher Chabris (Psychology)
Project Summary: The “holy grail” of artificial intelligence research for decades has been to design computers with robust, integrated, human-like intelligence. This goal has proven elusive, in spite of a massive amount of research. But another goal is just now becoming feasible, and so has been the subject of much less research: using vast computer networks to create new kinds of intelligent entities that combine the best of both human and machine intelligence. One key to designing such human-centered computing systems is better ways of measuring the collective intelligence they exhibit. That is the focus of this research, which represents a collaborative effort among researchers at MIT (lead institution), CMU and Union College. The results of this research will be of interest not only to researchers in computer-supported cooperative work, human-computer interaction, and artificial intelligence, but also more broadly to fields such as cognitive science, social psychology, and organization theory.

Silliman Hall

Who We Are

Nicole Marshall
Director of College Grants
& Sponsored Programs
(518) 388-6169

Mercedes Susi
Associate Director of College Grants
& Sponsored Programs
(518) 388-6984