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, 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.

To receive updates about the Collective Intelligence Conference 2017:

Contact us at collectiveintelligence@thegovlab.org
Follow us on Twitter @cicon17

Please check out prior programs and proceedings to learn more about the Collective Intelligence conference and academic community:

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