[on the suggestion of Neil Heffernan]
---------- Forwarded message ---------
From: HCOMP 2017 <hcomp2017@xxxxxxxxxxxxx>
Date: Wed, Apr 19, 2017 at 11:09 AM
Subject: HCOMP Deadline May 4
To: Neil Heffernan <nth@xxxxxxx>
Please help by forwarding broadly widely your university and on appropriate
mailing lists.
Reminder: Deadline May 4th
Full CFP: http://www.humancomputation.com/2017/submit.html
The 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/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. 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.