Cobi: Community-Informed Conference Scheduling

Authors

  • Juho Kim MIT CSAIL
  • Haoqi Zhang Northwestern University
  • Paul André HCI Institute, CMU
  • Lydia Chilton University of Washington
  • Anant Bhardwaj MIT CSAIL
  • David Karger MIT CSAIL
  • Steven Dow HCI Institute, CMU
  • Robert Miller MIT CSAIL

DOI:

https://doi.org/10.1609/hcomp.v1i1.13050

Keywords:

human computation, communitysourcing, schedulilng, mixed-initiative systems

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.

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Published

2013-11-03

How to Cite

Kim, J., Zhang, H., André, P., Chilton, L., Bhardwaj, A., Karger, D., Dow, S., & Miller, R. (2013). Cobi: Community-Informed Conference Scheduling. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, 1(1), 97-98. https://doi.org/10.1609/hcomp.v1i1.13050

Issue

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

Section

Demonstrations