HCOMP 2017 - Fifth AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2017)

Fifth AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2017) will be held in Quebec City, Canada, Oct. 24-26, 2017. It will be sponsored by the Association for the Advancement of Artificial Intelligence and will be co-located with UIST (Oct. 22-25).
Important Dates
* May 4, 21:00 UTC/5:00pm EDT: Full papers (8 pages) due
* June 5–10: [Optional] Author rebuttal period
* June 25: Notification of acceptance for full papers
* June 30: Works-in-progress poster/demo submissions (2 pages) due
* August 1: Doctoral Consortium applications due
* August 15: Camera-ready versions due
* October 23: Doctoral Consortium
* October 24: Workshops, Tutorials, and Crowdcamp
* October 25-26: Main conference
HCOMP strongly believes in inviting, fostering, and promoting broad, interdisciplinary research on crowdsourcing and human computation. Submissions may present principles, studies, and/or applications of systems that rely on programmatic interaction with crowds, or where human perception, knowledge, reasoning, or physical activity and coordination contributes to the operation of computational systems, applications, or services. More generally, we invite submissions from the broad spectrum of related fields and application areas including (but not limited to):
* Human-centered crowd studies: e.g., human-computer interaction, social computing, cultural heritage, computer-supported cooperative work, design, cognitive and behavioral sciences (psychology and sociology), management science, economics, policy, ethics, etc.
* Applications: e.g., computer vision, databases, digital humanities, information retrieval, machine learning, natural language (and speech) processing, optimization, programming languages, systems, etc.
* Crowd/human algorithms: e.g., computer-supported human computation, crowd/human algorithm design and complexity, mechanism design, 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.
All full paper submission must be anonymized (include no information identifying the authors or their institutions) for double-blind peer-review. Accepted full papers will be published in the HCOMP conference proceedings and included in the AAAI Digital Library. Submitted full papers are allowed up to 8 pages and works-in-progress/demos are up to 2 pages (references are not included in the page count) and must be formatted in AAAI two-column, camera-ready style. The AAAI 2017 Author Kit is available athttp://www.aaai.org/Publications/Templates/AuthorK.... Papers must be in trouble-free, high-resolution PDF format, formatted for US Letter (8.5" x 11") paper, using Type 1 or TrueType fonts. Reviewers will be instructed to evaluate paper submissions according to specific review criteria. HCOMP is a young but quickly growing conference, with a historical acceptance rate of 25-30% for full papers. For further details about submitting full papers, works-in-progress, demos, a!
nd the doctoral consortium, please visit http://www.humancomputation.com/2017/submit.html.
Conference History
HCOMP 2017 builds on a series of four successful earlier workshops held 2009–2012 and four AAAI HCOMP conferences held 2013–2016. The conference was created by researchers from diverse fields to serve as a key focal point and scholarly venue for the review and presentation of the highest quality work on the principles, studies, and applications of human computation and crowdsourcing. Prior HCOMP conferences have included work in multiple fields, ranging from human-centered fields like human-computer interaction, psychology, design, economics, management science, ethnography, and social computing, to technical fields like algorithms, machine learning, artificial intelligence, computer vision, information retrieval, optimization, vision, speech, robotics, and planning.