Cobi: communitysourcing large-scale conference scheduling

Creating a good schedule for a large conference such as CHI requires taking into account the preferences and constraints of organizers, authors, and attendees. Traditionally, the onus of planning is placed entirely on the organizers and involves only a few individuals. Cobi presents an alternative a...

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Main Authors: Zhang, Haoqi, Kim, Juho, Miller, Robert C.
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: Association for Computing Machinery (ACM) 2019
Online Access:https://hdl.handle.net/1721.1/121442
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author Zhang, Haoqi
Kim, Juho
Miller, Robert C.
author2 Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
author_facet Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Zhang, Haoqi
Kim, Juho
Miller, Robert C.
author_sort Zhang, Haoqi
collection MIT
description Creating a good schedule for a large conference such as CHI requires taking into account the preferences and constraints of organizers, authors, and attendees. Traditionally, the onus of planning is placed entirely on the organizers and involves only a few individuals. Cobi presents an alternative approach to conference scheduling that engages the entire community to take active roles in the planning process. The Cobi system 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 toward improving the schedule based on collected information. We are currently piloting Cobi as part of the CHI 2013 planning process.
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spelling mit-1721.1/1214422022-09-29T13:24:12Z Cobi: communitysourcing large-scale conference scheduling Zhang, Haoqi Kim, Juho Miller, Robert C. Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Creating a good schedule for a large conference such as CHI requires taking into account the preferences and constraints of organizers, authors, and attendees. Traditionally, the onus of planning is placed entirely on the organizers and involves only a few individuals. Cobi presents an alternative approach to conference scheduling that engages the entire community to take active roles in the planning process. The Cobi system 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 toward improving the schedule based on collected information. We are currently piloting Cobi as part of the CHI 2013 planning process. 2019-06-28T11:26:50Z 2019-06-28T11:26:50Z 2013-04 2019-06-27T16:14:25Z Article http://purl.org/eprint/type/ConferencePaper https://hdl.handle.net/1721.1/121442 Zhang, Haoqi, Paul Andre, Lydia Chilton, Juho Kim, Steven Dow, et al. "Cobi: Communitysourcing Large-Scale Conference Scheduling."CHI '13 International Conference on Human Factors in Computing Systems, Apr 2013, Paris, France. pp.3011-3014. en 10.1145/2468356.2479597 CHI '13 International Conference on Human Factors in Computing Systems Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Association for Computing Machinery (ACM) other univ website
spellingShingle Zhang, Haoqi
Kim, Juho
Miller, Robert C.
Cobi: communitysourcing large-scale conference scheduling
title Cobi: communitysourcing large-scale conference scheduling
title_full Cobi: communitysourcing large-scale conference scheduling
title_fullStr Cobi: communitysourcing large-scale conference scheduling
title_full_unstemmed Cobi: communitysourcing large-scale conference scheduling
title_short Cobi: communitysourcing large-scale conference scheduling
title_sort cobi communitysourcing large scale conference scheduling
url https://hdl.handle.net/1721.1/121442
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