会议信息

CI' 2025: ACM Collective Intelligence Conference

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截稿日期:
2025-04-01
通知日期:
2025-05-15
会议日期:
2025-08-04
会议地点:
La Jolla, California, USA
浏览: 2832   关注: 0   参加: 0
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CI'
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会伴指数 (CP-I)

43.5 / 100
全站第 3,592 名 / 共 5,694 个会议 · 前 64%
学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
37
社区关注 (10%)
10
资料公开度 (15%)
50

用到的输入: 有据可查的届次:3 · 过去 24 个月打开过本页的研究者:3 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0)
主办方认领本会议后,可直接在这一页补上;分数每晚重算。如何提升这个分数

置信度 45% —— 分数中有多大比例来自实际观测到的数据,而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-10-07

征稿

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
由 Dou Sun 最后更新于

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