AAAI Conference on Human Computation and Crowdsourcing (HCOMP)

AAAI Conference on Human Computation and Crowdsourcing (HCOMP)

Conference positioning

AAAI Conference on Human Computation and Crowdsourcing (HCOMP) is a top computer-science conference venue for crowdsourcing, human computation, data annotation, human-AI collaboration, and collective intelligence. It rewards a paper where human labor, incentive design, annotation quality, or hybrid intelligence is the contribution. Treat this skill as a fit / venue-selection / re-framing tool for conference submission strategy, not as a substitute for the current year's CFP, author kit, ethics policy, or submission portal.

Because CS conferences change deadlines, templates, page limits, review workflow, artifact rules, AI-use policy, and rebuttal formats every cycle, always verify the live official instructions before making a submission-ready recommendation. Start from the official source anchor recorded for this venue in ../../resources/conference-roster.md and ../../resources/official-source-map.md.

When to trigger

• The author names HCOMP / AAAI Conference on Human Computation and Crowdsourcing as the target venue.
• A manuscript in crowdsourcing needs a conference-fit read before being formatted or submitted.
• The paper must be re-framed from journal style or arXiv style into a selective CS conference narrative.
• The author needs an evidence-gap, anonymity, artifact, rebuttal, or re-routing diagnosis for this venue.

Scope & topic fit

• Core fit: crowdsourcing, human computation, data annotation, human-AI collaboration, and collective intelligence.
• Best submissions make a precise contribution type visible: algorithm, theorem, system, dataset, benchmark, empirical finding, design artifact, tool, or socio-technical analysis.
• The paper should explain why the result matters to HCOMP's reviewers, not just why it is interesting to the authors' lab or product context.
• Position related work against the most recent conference-cycle papers in this venue and its closest siblings; stale comparisons are a common early-review weakness.
• If the contribution is interdisciplinary, state which part is CS research and which part is domain evidence.

Venue-specific calibration

• Reviewer lens: Treat HCOMP as a human computation venue whose reviewers expect the scope and evidence to match its own community. Do not submit a generic CS paper until the introduction names the exact subcommunity, contribution type, and proof or empirical standard.
• Contribution hook to foreground: the venue-specific contribution bar.
• Scope vocabulary to use naturally in the abstract and introduction: crowdsourcing, human computation, data annotation, human-AI collaboration, and collective intelligence.
• Distinctive fingerprint for reviewer calibration: crowdsourcing, human, computation, data, annotation, human-ai, collaboration, collective, intelligence, venue-specific, contribution, humancomputation.
• Official anchor domain: www.humancomputation.com. Quote annual rules only after opening that source and the current-year CFP/author kit.

Close-neighbor routing guardrail

• Route to HCOMP when the contribution is human computation, crowdsourcing, collective intelligence, human-AI workflows, task design, or crowd-powered evaluation.
• Compare CHI/CSCW for broader human-centered or social-computing contributions, AIES/FAccT for ethics/fairness, and AI venues when the algorithm rather than human computation is central.

What distinguishes this venue from its closest siblings