Cobi: Community-informed conference scheduling

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

Cobi: Community-informed conference scheduling

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

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

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

Original language	English (US)
Title of host publication	Human Computation and Crowdsourcing
Subtitle of host publication	Works in Progress and Demonstration Abstracts - An Adjunct to the Proceedings of the 1st AAAI Conference on Human Computation and Crowdsourcing, Technical Report
Publisher	AI Access Foundation
Pages	97-98
Number of pages	2
ISBN (Print)	9781577356318
State	Published - Jan 1 2013
Event	1st AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2013 - Palm Springs, CA, United States Duration: Nov 6 2013 → Nov 9 2013

Publication series

Name	AAAI Workshop - Technical Report
Volume	WS-13-18

Other

Other	1st AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2013
Country	United States
City	Palm Springs, CA
Period	11/6/13 → 11/9/13

ASJC Scopus subject areas

Engineering(all)

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Kim, J., Zhang, H., Andre, P., Chilton, L. B., Bhardwaj, A., Karger, D., Dow, S. P., & Miller, R. C. (2013). Cobi: Community-informed conference scheduling. In Human Computation and Crowdsourcing: Works in Progress and Demonstration Abstracts - An Adjunct to the Proceedings of the 1st AAAI Conference on Human Computation and Crowdsourcing, Technical Report (pp. 97-98). (AAAI Workshop - Technical Report; Vol. WS-13-18). AI Access Foundation.

Kim, Juho ; Zhang, Haoqi ; Andre, Paul ; Chilton, Lydia B. ; Bhardwaj, Anant ; Karger, David ; Dow, Steven P. ; Miller, Robert C. / Cobi : Community-informed conference scheduling. Human Computation and Crowdsourcing: Works in Progress and Demonstration Abstracts - An Adjunct to the Proceedings of the 1st AAAI Conference on Human Computation and Crowdsourcing, Technical Report. AI Access Foundation, 2013. pp. 97-98 (AAAI Workshop - Technical Report).

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title = "Cobi: Community-informed conference scheduling",

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

author = "Juho Kim and Haoqi Zhang and Paul Andre and Chilton, {Lydia B.} and Anant Bhardwaj and David Karger and Dow, {Steven P.} and Miller, {Robert C.}",

year = "2013",

month = jan,

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language = "English (US)",

isbn = "9781577356318",

series = "AAAI Workshop - Technical Report",

publisher = "AI Access Foundation",

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booktitle = "Human Computation and Crowdsourcing",

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Kim, J, Zhang, H, Andre, P, Chilton, LB, Bhardwaj, A, Karger, D, Dow, SP & Miller, RC 2013, Cobi: Community-informed conference scheduling. in Human Computation and Crowdsourcing: Works in Progress and Demonstration Abstracts - An Adjunct to the Proceedings of the 1st AAAI Conference on Human Computation and Crowdsourcing, Technical Report. AAAI Workshop - Technical Report, vol. WS-13-18, AI Access Foundation, pp. 97-98, 1st AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2013, Palm Springs, CA, United States, 11/6/13.

Cobi : Community-informed conference scheduling. / Kim, Juho; Zhang, Haoqi; Andre, Paul; Chilton, Lydia B.; Bhardwaj, Anant; Karger, David; Dow, Steven P.; Miller, Robert C.

Human Computation and Crowdsourcing: Works in Progress and Demonstration Abstracts - An Adjunct to the Proceedings of the 1st AAAI Conference on Human Computation and Crowdsourcing, Technical Report. AI Access Foundation, 2013. p. 97-98 (AAAI Workshop - Technical Report; Vol. WS-13-18).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Andre, Paul

AU - Chilton, Lydia B.

AU - Bhardwaj, Anant

AU - Karger, David

AU - Dow, Steven P.

AU - Miller, Robert C.

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AB - 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.

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Kim J, Zhang H, Andre P, Chilton LB, Bhardwaj A, Karger D et al. Cobi: Community-informed conference scheduling. In Human Computation and Crowdsourcing: Works in Progress and Demonstration Abstracts - An Adjunct to the Proceedings of the 1st AAAI Conference on Human Computation and Crowdsourcing, Technical Report. AI Access Foundation. 2013. p. 97-98. (AAAI Workshop - Technical Report).