

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:
Citizen engagement and participation | Crowdsourcing widely (e.g. mass-based engagement) | Crowdsourcing wisely (e.g. curated engagement) |
Collaborative problem solving | New technologies for making groups smarter | Incentives and social-behavioral insights and groups |
Institutional design and governance (e.g. how institutions make use of networks) | Firms and networks | Public policy and law reform (e.g. legal frameworks for groups) |
Human computer interaction and groups | Human computation | Social computing |
Crowdfunding | Wisdom of crowds (e.g., prediction markets) | Group memory and extended cognition |
Collective decision making and problem-solving | Participatory and deliberative democracy | Organizational design and strategy |
Ethics of collective intelligence (e.g., “digital sweatshops”) | Computational models of group search and optimization | Emergence and evolution of intelligence |
Submissions
Submissions of two types are invited:
- Reports of Original Results
- Demonstrations of Tools/Technology/Experiments
Learn more about the submissions process
Important Dates:

Program committee
Name | Affiliation |
Beth Simone Noveck | NYU/The GovLab |
Michael Bernstein | Stanford University |
Erik Johnston | Arizona State University |
Sabine Brunswicker | Purdue University |
Cesar Hidalgo | MIT |
Ece Kamar | Microsoft |
Erin Krupka | University of Michigan |
Walter Lasecki | University of Michigan |
Name | Affiliation |
Matt Lease | University of Texas, Austin |
Kurt Luther | Virginia Tech |
Winter Mason | |
Anita McGahan | University of Toronto, Rotman |
Geoff Mulgan | Nesta |
Aaron Shaw | Northwestern University |
Kate Starbird | University of Washington |
Chris Welty | Google Research |