HCOMP 2014 - International Conference on Human Computation & Crowdsourcing

The Second AAAI Conference on Human Computation and Crowdsourcing (HCOMP-2014) will be held November 2-4 in Pittsburgh, USA.
The HCOMP conference is cross-disciplinary, and we invite submissions across the broad spectrum of crowdsourcing and human computation work. Human computation and crowdsourcing is unique in its direct engagement and reliance on both human-centered studies and traditional computer science. The HCOMP conference is thus aimed at promoting the scientific exchange of advances in human computation and crowdsourcing among researchers, engineers, and practitioners across a spectrum of disciplines who may otherwise not have the opportunity to hear from one another. 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 principles, studies, and applications of human computation and crowdsourcing. The meeting seeks and embraces work on human computation and crowdsourcing in multiple fields, including human-centered fields like human-computer interaction, cognitive psychology, economics, management science, and social computing, and technical fields like databases, systems, information retrieval, optimization, vision, speech, robotics, machine learning, and planning.
Submissions are invited on principles, studies, and applications of systems that rely on programmatic access to human intellect to perform some aspect of computation, or where human perception, knowledge, reasoning, or physical activity and coordination contributes to the operation of larger computational systems, applications, and services.
The conference will include presentations of new research, works-in-progress and demo sessions, and invited talks. A day of workshops and tutorials will precede the main conference. Submissions to the main conference will be due on April 1, 2014. Workshop and tutorial proposals will be due on April 22, 2014. Authors will be notified about the acceptance and rejection of their submissions on June 16, 2014. Accepted papers will be due in camera-ready form on July 16, 2014. A complete set of deadlines and notification dates for workshops, tutorials, works-in-progress and demonstrations can be found on the right.
HCOMP 2014 builds on a series of four successful earlier workshops (2009, 2010, 2011, and 2012) and the first AAAI HCOMP conference held in 2013. All full papers accepted will be published as AAAI archival proceedings in the AAAI digital library. While we encourage visionary and forward-looking papers, the paper track will not accept work recently published or soon to be published in another conference or journal. However, to encourage exchange of ideas, such work can be submitted to the non-archival work-in-progress and demo track, due on July 25, 2014. For submissions of this kind, the authors should include the venue of previous or concurrent publication.
The preface to the HCOMP-13 proceedings provides an overview of the history, goals, and peer review procedures of the conference. Additional background on the founding of the conference are discussed in this Computing Research News story.
Works in Progress and Demonstration Chair
Haoqi Zhang (Northwestern)
Program Committee
Maneesh Agrawala (University of California, Berkeley)
Paul Bennett (Microsoft Research)
Yiling Chen (Harvard University)
Lydia Chilton (University of Washington)
Caren Cooper (Cornell University)
Steven Dow (Carnegie Mellon University)
Maxine Eskenazi (Carnegie Mellon University)
Krzysztof Gajos (Harvard University)
Liz Gerber (Northwestern)
Arpita Ghosh (Cornell University)
Jonathan Huang (Stanford University)
Panagiotis Ipeirotis (NYU)
Ashish Kapoor (Microsoft Research)
Henry Kautz (University of Rochester)
Gabriella Kazai (Microsoft Research)
Anand Kulkarni (Mobile Works)
Edith Law (Harvard University)
Matt Lease (University of Texas - Austin)
Chris Lintott (Oxford)
Adam Marcus (Locu)
Mausam (Indian Institute of Technology, Delhi)
Jeff Nichols (IBM)
Aditya Parameswaran (University of Illinois)
Alex Rogers (Southampton)
Adam Sadilek (Google)
Kate Starbird (University of Washington)
Siddharth Suri (Microsoft Research)
Jaime Teevan (Microsoft Research)
Daniel Weld (University of Washington)
Haoqi Zhang (Northwestern)
Larry Zitnick (Microsoft Research)