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?
On April 21st, 2016 I gave a lecture “Plans and Models: Digital Tools, Sticky Practices and the Thorny Problem of Innovation” as part of the University of Michigan’s “Digital Futures Lecture Series.” (more…)