Conference Information

CI' 2025: ACM Collective Intelligence Conference

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Submission Date:
2025-04-01
Notification Date:
2025-05-15
Conference Date:
2025-08-04
Location:
La Jolla, California, USA
Viewed: 2833   Tracked: 0   Attend: 0
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Conference Partner Index (CP-I)

43.5 / 100
Ranked #3,592 of 5,694 conferences · Top 64%
Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
37
Community attention (10%)
10
Public record completeness (15%)
50

Inputs used: Editions on record: 3 · Researchers who opened this page in the past 24 months: 3

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-10-07

Call For Papers

CI' 2025 (ACM Collective Intelligence Conference) is an academic conference held in La Jolla, California, USA on 2025-08-04. The paper submission deadline is 2025-04-01. Acceptance notifications are sent on 2025-05-15.

ACM Collective Intelligence is the premier venue for disseminating the latest research that advances the theoretical and empirical understanding of collective performance in diverse systems, whether biological, technological, or a combination. We are interested in research on a broad range of systems that vary in scale and scope and focus on implications for a diverse range of social, ecological, and economic outcomes. The ACM Collective Intelligence (CI) Conference has a transdisciplinary focus devoted to advancing the theoretical and empirical understanding of collective intelligence, broadly designed. The community does basic science on emergent collective phenomena, as well as designing and engineering systems for combining computational and human intelligence. We are interested in research on a broad range of phenomena that vary in scale and scope with implications for a diverse range of social, ecological, and economic outcomes. Researchers who participate in the CI conference represent a wide and growing cross-section of social science and computer science as well the natural sciences, arts, and humanities. All types of contributions—empirical, conceptual, theoretical, quantitative, and qualitative—are welcome, including computational models. Topics include (but are not limited to) research that helps us to explain the mechanisms of emergent behavior as well as presentations of design solutions and systems engineering. Research on collective behaviors including, but not limited to: Crowds, flocks and swarms Collective emotion and polarization Belief formation and misinformation Social network formation and functioning Science and innovation Open source communities Organizational Studies Research into systems and tasks to support the following, but not limited to: Forecasting and decision-making Democracy, civics and policymaking Complex problem solving Crisis response Community-driven design Innovation contests Citizen science Discussion moderation and decision facilitation Computer-human collaboration (e.g. hybrid systems, LLMs) Topics include, but are not limited to: Adaptive dynamic systems • Artificial intelligence • Biological systems • Citizen engagement • Collective decision-making • Collaborative problem-solving • Computational models • Communication and information technologies • Computer science • Creativity • Crowdfunding • Crowdsourcing • Data science • Emergence of intelligence • Evolutionary intelligence • Ethics and values • Extended cognition • Group memory • Human computation • Incentive mechanisms • Innovation • Knowledge creation • Multi-agent technology • Nudge techniques • Open source intelligence • Organizational design • Participatory decision-making • Prediction markets • Social computing • Societal norms • Strategy formation • Super forecasting • Natural swarm Intelligence • Team structures • Wisdom of crowds • Voting design
Last updated by Dou Sun on

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