Cobi: Community-informed conference scheduling

Juho Kim, Haoqi Zhang, Paul Andre, Lydia B. Chilton, Anant Bhardwaj, David Karger, Steven P. Dow, Robert C. Miller

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations


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 enables organizers and other community members to take informed actions based on collected information.

Original languageEnglish (US)
Title of host publicationHuman Computation and Crowdsourcing
Subtitle of host publicationWorks in Progress and Demonstration Abstracts - An Adjunct to the Proceedings of the 1st AAAI Conference on Human Computation and Crowdsourcing, Technical Report
PublisherAI Access Foundation
Number of pages2
ISBN (Print)9781577356318
StatePublished - 2013
Event1st AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2013 - Palm Springs, CA, United States
Duration: Nov 6 2013Nov 9 2013

Publication series

NameAAAI Workshop - Technical Report


Other1st AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2013
Country/TerritoryUnited States
CityPalm Springs, CA

ASJC Scopus subject areas

  • General Engineering


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