Conference Information

HCOMP 2020: AAAI Conference on Human Computation and Crowdsourcing

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HCOMP
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Submission Date:
2020-06-05
Notification Date:
2020-07-31
Conference Date:
2020-10-26
Location:
Hilversum, The Netherlands
Years:
8
ICORE: B   Viewed: 19080   Tracked: 2   Attend: 0

Conference Partner Index (CP-I)

52.7 / 100
Ranked #1,062 of 5,655 conferences · Top 19%

#53 of 253 in Information Systems & Web

Academic recognition (35%)
72
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
59
Community attention (10%)
19
Public record completeness (15%)
25

Inputs used: Listed as ICORE B · Editions on record: 8 · Researchers following it here: 2 · Researchers who opened this page in the past 24 months: 2

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 80% - 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 2026-09-09

Call For Papers

HCOMP 2020 (AAAI Conference on Human Computation and Crowdsourcing) is a ICORE B conference held in Hilversum, The Netherlands on 2020-10-26. The paper submission deadline is 2020-06-05. Acceptance notifications are sent on 2020-07-31.

HCOMP is the home of the human computation and crowdsourcing community. It’s the premier venue for presenting latest findings from research and practice into frameworks, methods and systems that bring together people and machine intelligence to achieve better results. While artificial intelligence (AI) and human-computer interaction (HCI) represent traditional mainstays of the conference, HCOMP believes strongly in fostering and promoting broad, interdisciplinary research. Our field is particularly unique in the diversity of disciplines it draws upon and contributes to, including human-centered qualitative studies and HCI design, social computing, artificial intelligence, economics, computational social science, digital humanities, policy, and ethics. We promote the exchange of advances in human computation and crowdsourcing not only among researchers, but also engineers and practitioners, to encourage dialogue across disciplines and communities of practice. Submissions may hence cover theory, studies, tools and applications that present novel, interesting, impactful interactions between people and computational systems. These cover a broad range of scenarios, from classical human computation, wisdom of the crowds, and all forms of crowdsourcing to people-centric AI methods, systems and applications. Topics of interest include: Crowdsourcing applications and techniques, including but not limited to: citizen science, collective action, collective intelligence, wisdom of the crowds, crowdsourcing contests, crowd creativity, crowdfunding, paid microtasks, crowd ideation, crowd sensing, prediction markets. Techniques that enable and enhance human-in-the-loop systems, making them more efficient, accurate, and human-friendly, including task design, quality assurance, answer inference, biases and subjectivity, incentives, gamification, task allocation, complex workflows, real-time crowdsourcing etc. Approaches to make crowd science FAIR (Findable, Accessible, Interoperable, Reproducible) and studies assessing and commenting on the FAIRness of human computation and crowdsourcing practice. Studies into the reliability and other quality aspects of human-annotated and -curated datasets. Studies into replicability of crowdsourcing and human computation experiments. Methods that use human computation and crowdsourcing to build people-centric AI systems and applications, including topics such as explainability and interpretability. Studies about how people perform tasks individually, in groups, or as a crowd, including those drawing on techniques from human-computer interaction, social computing, computer-supported cooperative work, design, cognitive sciences, behavioral sciences, economics, etc. Studies into fairness, accountability, transparency, ethics, and policy implications for crowdsourcing and human computation. Studies that inform our understanding about the future of work, distributed work, the freelancer economy, open innovation and citizen-led innovation.
Last updated by Dou Sun on

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