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?
Cecilia Aragon, Clayton Hutto, Andy Echenique, Brittany Fiore-Gartland, Yun Huang, Jinyoung Kim, Gina Neff, Wanli Xing, Joseph Bayer. Developing a Research Agenda for Human-Centered Data Science. Proceeding CSCW ’16 Companion Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing Companion Pages 529-535. ISBN: 978-1-4503-3950-6 doi>10.1145/2818052.2855518
