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