Qualitative Methods for CSCW: Challenges and Opportunities

Authors

Casey Fiesler, University of Colorado, Boulder
Jed R. Brubaker, University of Colorado, Boulder
Andrea Forte, Drexel University
Shion Guha, Marquette UniversityFollow
Nora McDonald, Drexel University
Michael Muller, IBM Research

Document Type

Conference Proceeding

Publication Date

2019

Publisher

Association for Computing Machinery

Source Publication

CSCW '19 Companion: Conference Companion Publication of the 2019 ACM Conference on Computer Supported Cooperative Work and Social Computing

Source ISSN

978145036692

Abstract

Qualitative methods have long been an important component of CSCW research. However, it can be challenging to make qualitative work legible to a broader set of researchers, which is critical as mixed methods research becomes more common. Moreover, the shift towards larger scales of data and increasing calls for open data and more transparency pose new questions for qualitative methods in terms of data collection, analysis, reporting, and sharing. This workshop brings together researchers to discuss these challenges as well as new opportunities for qualitative methods, with goals to help build norms and best practices for (1) conducting qualitative research, (2) reporting that research, and (3) engaging and collaborating with CSCW researchers from other methodological traditions.

Comments

Published as part of the proceedings of the conference Computer Supported Cooperative Work and Social Computing, 2019: 455-460. DOI.

Recommended Citation

Fiesler, Casey; Brubaker, Jed R.; Forte, Andrea; Guha, Shion; McDonald, Nora; and Muller, Michael, "Qualitative Methods for CSCW: Challenges and Opportunities" (2019). Computer Science Faculty Research and Publications. 25.
https://epublications.marquette.edu/comp_fac/25