Developing a research agenda for human-centered data science

Cecilia Aragon, Clayton Hutto, Andy Echenique, Brittany Fiore-Gartland, Yun Huang, Jinyoung Kim, Gina Neff, Wanli Xing, Joseph Bayer

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

8 Scopus citations

Abstract

The study and analysis of large and complex data sets offer a wealth of insights in a variety of applications. Computational approaches provide researchers access to broad assemblages of data, but the insights extracted may lack the rich detail that qualitative approaches have brought to the understanding of sociotechnical phenomena. How do we preserve the richness associated with traditional qualitative methods while utilizing the power of large data sets? How do we uncover social nuances or consider ethics and values in data use? These and other questions are explored by humancentered data science, an emerging field at the intersection of human-computer interaction (HCI), computer-supported cooperative work (CSCW), human computation, and the statistical and computational techniques of data science. This workshop, the first of its kind at CSCW, seeks to bring together researchers interested in human-centered approaches to data science to collaborate, define a research agenda, and form a community.

Original languageEnglish (US)
Title of host publicationProceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW
PublisherAssociation for Computing Machinery
Pages529-535
Number of pages7
Volume26-February-2016
ISBN (Print)9781450339506
DOIs
StatePublished - Feb 27 2016
Event19th ACM Conference on Computer Supported Cooperative Work and Social Computing, CSCW 2016 - San Francisco, United States
Duration: Feb 26 2016Mar 2 2016

Other

Other19th ACM Conference on Computer Supported Cooperative Work and Social Computing, CSCW 2016
CountryUnited States
CitySan Francisco
Period2/26/163/2/16

Keywords

  • Data science
  • Human- centered data science
  • Human-centered design
  • Research methods
  • Social media

ASJC Scopus subject areas

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

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  • Cite this

    Aragon, C., Hutto, C., Echenique, A., Fiore-Gartland, B., Huang, Y., Kim, J., Neff, G., Xing, W., & Bayer, J. (2016). Developing a research agenda for human-centered data science. In Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW (Vol. 26-February-2016, pp. 529-535). Association for Computing Machinery. https://doi.org/10.1145/2818052.2855518