- between people and technology that is foundational to human computation
- between theoretical foundations, experimental work, and engineering
- between the computational, scientific, and social applications of crowdsourcing
- between diverse disciplines and perspectives, within our community and beyond
- human-centered crowd studies: e.g., human-computer interaction, social computing, design, cognitive and behavioral sciences (psychology and sociology), management science, economics, policy, ethics, etc.
- applications and algorithms: e.g., computer vision, cultural heritage, databases, digital humanities, information retrieval, machine learning, natural language (and speech) processing, optimization, programming languages, systems, etc.
- crowdsourcing areas: e.g., citizen science, collective action, collective knowledge, crowdsourcing contests, crowd creativity, crowd funding, crowd ideation, crowd sensing, distributed work, freelancer economy, open innovation, microtasks, prediction markets, wisdom of crowds, etc.
Our Senior Program Committee (SPC) will oversee the review process and ensure that each submission receives a constructive and rigorous review.
To ensure relevance, submissions are encouraged to include research questions and contributions of broad interest to crowdsourcing and human computation, as well as discuss relevant open problems and prior work in the field. When evaluation is conducted entirely within a specific domain, authors are encouraged to discuss how findings might generalize to other communities and application areas using crowdsourcing and human computation.
All papers must be anonymized (include no information identifying the authors or their institutions) for double-blind peer-review and formatted according to the conference’s style guidelines. An Author Kit is available for getting started with LaTeX or Word.
Accepted papers will be published in the HCOMP conference proceedings and included in the Conference’s Digital Archive. HCOMP is a young but quickly growing conference, with a historical acceptance rate of 30% for full papers.
Full papers of up to 10 pages (including references) may be submitted. Full papers must represent original work, not previously published or under simultaneous peer-review for any other peer-reviewed, archival conference or journal.
- May 31, 2016: Abstracts (for Full Papers) due
- June 7, 2016: Full Papers due
- July 11, 2016: Reviews released to authors
- July 14, 2016: [Optional] author feedback due
- August 4, 2016: Notification of acceptance decisions
- August 20, 2016: Camera-ready papers due