Collective Intelligence

NYU Tandon School of Engineering
June 15-16, 2017

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, 2017.

Collective Intelligence 2017 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, businesses, non-profits, governments and the world at large 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.

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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:
  1. Reports of Original Results
  2. Demonstrations of Tools/Technology/Experiments
Learn more about the submissions process
Important Dates:
Call for Abstracts
Submission for Abstracts Opens
Registration Opens
Abstract Submission Deadline
Program Announcement
Early Bird Registration Ends
Regular Registration Ends
Collective Intelligence 2017
Call for Abstracts
Submission for Abstracts Opens
Registration Opens
Abstract Submission Deadline
Program Announcement
Early Bird Registration Ends
Regular Registration Ends
Collective Intelligence 2017

Program committee

Beth Simone Noveck, NYU/The GovLab
Conference Chair

Michael Bernstein, Stanford University
Program Chair

Erik Johnston, Arizona State University
Program Chair

Sabine Brunswicker, Purdue University

Cesar Hidalgo, Massachusetts Institute of Technology

Ece Kamar, Microsoft

Erin Krupka, University of Michigan

Walter Lasecki, University of Michigan

Matt Lease, University of Texas, Austin

Kurt Luther, Virginia Tech

Anita McGahan, University of Toronto, Rotman

Geoff Mulgan, Nesta

Aaron Shaw, Northwestern University

Kate Starbird, University of Washington

Lixiu Yu, Bosch Research

Haoki Zhang, Northwestern University