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HCOMP 2016 : Conference on Human Computation and Crowdsourcing

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Link: http://www.humancomputation.com/2016
 
When Oct 30, 2016 - Nov 3, 2016
Where Austin, TX, USA
Submission Deadline May 17, 2016
Notification Due Jun 15, 2016
Final Version Due Aug 1, 2016
Categories    HCI   social computing   crowdsourcing   machine learning
 

Call For Papers

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 research: e.g., human-computer interaction, social computing, design, cognitive and behavioral sciences (psychology and sociology), management science, economics, policy, ethics, etc.
* computation-centered research, e.g., databases, systems, information retrieval, optimization, vision, language and speech, machine learning, novel programming languages, etc.

To ensure relevance, submissions are encouraged 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.

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
Full papers of up to 10 pages may be submitted. Full papers must represent original work, not previously published or under simultaenous peer-review for any other peer-reviewed, archival conference or journal.

Related Resources

HCOMP 2017   The fifth AAAI Conference on Human Computation and Crowdsourcing
NIPS 2017   The Thirty-first Annual Conference on Neural Information Processing Systems
Crowd Science 2018   Crowd Science @ HICSS 2018
DSAA 2017   The 4th IEEE International Conference on Data Science and Advanced Analytics 2017
HHMC 2017   Workshop on Hybrid Human-Machine Computing
ICONIP 2017   International Conference on Neural Information Processing
ICANN 2017   International Conference on Artificial Neural Networks 2017
ACML 2017   The 9th Asian Conference on Machine Learning
IUI 2017   Intelligent User Interfaces
GECCO 2017   Genetic and Evolutionary Computation Conference