Self Tracking
Venture Labor
Surviving the New Economy

Developing a Research Agenda for Human-Centered Data Science

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

The lie of liberal intolerance on campus

(I wrote this for Medium)

Nicholas Kristof in his NYT Opinion “A Confession of Liberal Intolerance” argues that college campuses are hotbeds of discrimination against conservatives and Christianity. Not only is Kristof wrong, his argument is downright dangerous. (more…)

Michigan Lecture: Plans and Models

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…)

Twitter: ginasue