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Cobi: Community-Informed Conference Scheduling

Authors

Juho Kim,Haoqi Zhang,Paul André,Lydia Chilton,Anant Bhardwaj,David Karger,Steven Dow,Robert Miller

MIT CSAIL,Northwestern University,HCI Institute, CMU,University of Washington,MIT CSAIL,MIT CSAIL,HCI Institute, CMU,MIT CSAIL


Published:

2013-11-10

Proceedings:

Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, 1

Volume

Issue:

Vol. 1 (2013): First AAAI Conference on Human Computation and Crowdsourcing

Track:

Demonstrations

Downloads:

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Abstract:

Creating a schedule for a large multi-track conference requires considering the preferences and constraints of organizers, authors, and attendees. Traditionally, a few dedicated organizers manage the size and complexity of the schedule with limited information and coverage. Cobi presents an alternative approach to conference scheduling by engaging the entire community to take active roles in the planning process. It consists of a collection of crowdsourcing applications that elicit preferences and constraints from the community, and software that enable organizers and other community members to take informed actions based on collected information.

DOI:

10.1609/hcomp.v1i1.13050


HCOMP

Vol. 1 (2013): First AAAI Conference on Human Computation and Crowdsourcing


ISBN 978-1-57735-607-3