ACM Collective Intelligence (CI) is a premier venue for research on how collective performance emerges across biological, technological, social, and hybrid human-machine systems. CI welcomes transdisciplinary work that advances theoretical, empirical, computational, and design-based understandings of collective intelligence across social science, computer science, natural sciences, arts, and humanities.
Relevant topics include collective behavior, crowds, flocks and swarms, collective emotion and polarization, belief formation and misinformation, social networks, science and innovation, open source communities, organizational studies, citizen science, democracy and policymaking, crisis response, community-driven design, complex problem solving, decision-making, discussion facilitation, and computer-human collaboration, including hybrid systems and LLMs.

This year, ACM Collective Intelligence will be held jointly with the ACM HCOMP conference. Because of this, authors submitting a paper or talk will be able to choose whether their work should be reviewed under the CI track or the HCOMP track, depending on which community and topics best fit their submission. For accepted full papers, this choice will also determine whether the paper appears in the CI or HCOMP proceedings.

The conference accepts two main submission types:
**Full papers are up to 6,000 words. They receive full peer review by a Program Committee member and three external reviewers. Accepted full papers are published in the archival ACM proceedings, appear in the ACM Digital Library, and receive DOIs.

**Talks (formerly called extended abstracts) are up to 1,500 words. They receive shorter reviews focused on relevance and enthusiasm for the topic. Accepted talk abstracts are shared on the conference websites but are not archived in the ACM Digital Library and do not receive DOIs. This format may be especially useful for researchers who later plan to submit the work to a journal.