The seventh AAAI Conference on Human Computation and Crowdsourcing
Oct 28–30, 2019 Skamania Lodge, WA
The 7th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2019) will be held Oct 28–30 at Skamania Lodge in Washington State near the Columbia Gorge River, just 45 minutes from Portland, Oregon. This year is the 10-year anniversary of the very first HCOMP workshop in Paris, and to celebrate, there will be special events, talks, and panels throughout the conference.
HCOMP is the premier venue for disseminating the latest research findings on human computation and crowdsourcing. While artificial intelligence (AI) and human-computer interaction (HCI) represent traditional mainstays of the conference, HCOMP believes strongly in inviting, fostering, and promoting broad, interdisciplinary research. The field is particularly unique in the diversity of disciplines it draws upon and contributes to, ranging from human-centered qualitative studies and HCI design, to computer science and artificial intelligence, to economics and the social sciences, all the way to digital humanities, policy, and ethics. We promote the exchange of advances in human computation and crowdsourcing not only among researchers, but also engineers and practitioners, to encourage dialogue across disciplines and communities of practice.
This year, we especially encourage work that generate new insights into the “human computation” side of HCOMP, such as new understandings about human cognition, human-in-the-loop intelligence systems, human-AI interaction and collaboration, algorithmic and interface techniques for augmenting human abilities to perform tasks, and other issues that affect how humans collaborate with AI systems (such as bias, fairness and interpretability).
HCOMP 2019 builds on a successful history of past meetings: six HCOMP conferences (2013–2018) and four earlier workshops, held at the AAAI Conference on Artificial Intelligence (2011–2012), and the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2009–2010).
Check back for submission instructions for papers, workshops, work-in-progress/demos, and the annual doctoral consortium.
A Large-Scale Study of the "Wisdom of Crowds"
Camelia Simoiu, Chiraag Sumanth, Alok Shankar and Sharad Goel
Human Evaluation of Models Built for Interpretability
Isaac Lage, Emily Chen, Jeffrey He, Menaka Narayanan, Been Kim, Samuel Gershman and Finale Doshi-Velez
Fair Work: Crowd Work Minimum Wage with One Line of Code
Mark Whiting, Grant Hugh and Michael Bernstein
Join our crowd-hcomp Google Group (email list) for posting and receiving email announcements (e.g., calls-for-papers, job openings, etc.) related to crowdsourcing and human computation. Anyone is welcome to post, and posts will be moderated to prevent spam. We'll also post updates here about the conference. To subscribe via email, send an email to email@example.com. You can also view an archive of past posts and subscribe on the Google Group webpage.