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CollectiveIntelligence

NYU TANDON | BROOKLYN, NY

June 15-16, 2025

The 5th Edition of the Collective Intelligence Conference

CI is the fifth annual interdisciplinary conference dedicated to advancing our understanding of collective intelligence and the workings of groups. The conference will take place at New York University’s Tandon School of Engineering on June 15-16, 2025.

Collective Intelligence 2025 will emphasize research in service of the public good and projects that address societal problems. Together we will explore the impact of Internet technology and big data on the ways in which people come together to communicate and combine knowledge and skills. Coming from myriad disciplines and fields, conference participants share how connecting groups of people, information, and machines can lead to more intelligent behavior and more effective problem solving.

The event brings together researchers from academia, business, non-profit, and government to share insights, ideas, and experiences and to collaborate on the design of better approaches for fostering the use of collective intelligence. This year’s conference will place special emphasis on public interest applications of collective intelligence, namely the role of groups and collective intelligence in governing and in solving societal challenges.

Key Themes of Collective Intelligence 2025 Conference

  • Citizen Engagement and Participation: Exploring innovative methods to involve the public in decision-making and problem-solving processes.
  • Crowdsourcing and Collective Problem Solving: Leveraging the wisdom and skills of large groups to tackle complex challenges.
  • New Technologies for Group Collaboration: Examining cutting-edge tools that enhance the intelligence and efficiency of group efforts.
  • Institutional Design and Governance: Investigating how institutions can use networks and collective intelligence for better governance and policy development.
  • Ethics of Collective Intelligence: Addressing ethical concerns, including data privacy and the prevention of exploitation in collaborative systems.
  • Emergence and Evolution of Collective Intelligence: Studying how intelligence emerges within groups and how it evolves over time through collaboration.

Topics

Topics of interest include but are not limited to:

Submissions

Submissions of two types are invited:

  1. Reports of Original Results
  2. Demonstrations of Tools/Technology/Experiments

Learn more about the submissions process

Important Dates:

Program committee

NameAffiliation
Beth Simone NoveckNYU/The GovLab
Michael BernsteinStanford University
Erik JohnstonArizona State University
Sabine BrunswickerPurdue University
Cesar HidalgoMIT
Ece KamarMicrosoft
Erin KrupkaUniversity of Michigan
Walter LaseckiUniversity of Michigan
NameAffiliation
Matt LeaseUniversity of Texas, Austin
Kurt LutherVirginia Tech
Winter MasonFacebook
Anita McGahanUniversity of Toronto, Rotman
Geoff MulganNesta
Aaron ShawNorthwestern University
Kate StarbirdUniversity of Washington
Chris WeltyGoogle Research

Partners


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