The Fifth AAAI Conference on Human Computation and Crowdsourcing
<http://www.humancomputation.com/2017> (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
<http://www.aaai.org/Library/HCOMP/hcomp-library.php>. 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 at
http://www.aaai.org/Publications/Templates/AuthorKit17.zip
<http://www.aaai.org/Publications/Templates/AuthorKit17.zip>. 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
<http://www.humancomputation.com/2017/review-criteria.html>. 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, and the doctoral consortium, please visit
http://www.humancomputation.com/2017/submit.html
<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.
Full CFP: http://www.humancomputation.com/2017/submit.html
<http://www.humancomputation.com/2017/submit.html>
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