MIDST: A system to support stigmergic coordination in data-science teams

Kevin Crowston, Jefrey S. Saltz, Amira Rezgui, Yatish Hegde, Sangseok You

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

Abstract

We demonstrate MIDST, a system we developed to support stigmergic coordination in data-science teams, that is, coordination supported by a shared work product. To improve coordination, the system supports modularization of an analysis as a workflow, distributed code development and sharing and tracking of task status through a web application.

Original languageEnglish (US)
Title of host publicationCSCW 2019 Companion - Conference Companion Publication of the 2019 Computer Supported Cooperative Work and Social Computing
PublisherAssociation for Computing Machinery
Pages5-8
Number of pages4
ISBN (Electronic)9781450366922
DOIs
StatePublished - Nov 9 2019
Event22nd ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2019 - Austin, United States
Duration: Nov 9 2019Nov 13 2019

Publication series

NameProceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW

Conference

Conference22nd ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2019
CountryUnited States
CityAustin
Period11/9/1911/13/19

Keywords

  • Awareness
  • Data-science teams
  • Stigmergic coordination
  • Translucency

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications
  • Human-Computer Interaction

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  • Cite this

    Crowston, K., Saltz, J. S., Rezgui, A., Hegde, Y., & You, S. (2019). MIDST: A system to support stigmergic coordination in data-science teams. In CSCW 2019 Companion - Conference Companion Publication of the 2019 Computer Supported Cooperative Work and Social Computing (pp. 5-8). (Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW). Association for Computing Machinery. https://doi.org/10.1145/3311957.3359509