At the recent Convening on Urban Data Science, held at the University of Chicago on April 27-29, HDS Lab member Brittany Fiore-Gartland presented a talk titled, “Data Science Studies: Toward a sociotechnical and ethical urban data science.” Dr. Fiore-Gartland made the argument that in the context of urban data science, in which there is an influx of computational scientists working on problems of social good and social science, there is a pressing need to integrate sociotechnical and ethical perspectives into practice. There is still an open question around what are the most successful structures for integrating ethnographic research and translating a sociological perspective on science and technology into something valuable for urban data science collaborations. She articulated one model of integration, discussed several modes of translation, and proposed future directions for the integration of social research into urban data science.
At the recent Computer Supported Cooperative Work Conference in San Francisco, Nan-Chen Chen presented the paper, “Considering Time in Designing Large-Scale Systems for Scientific Computing”. In this ethnographic study, Nan-Chen and her co-authors, Sarah Poon, Lavanya Ramakrishnan, and Cecilia Aragon, make the case that temporal rhythms and collective time should be more carefully considered in the design of high performance computing systems. The full paper can be accessed here. DOI: 10.1145/2818048.2819988
HDS Lab director Cecilia Aragon and lab member Brittany Fiore-Gartland recently helped organize the Human-centered Data Science Workshop held in advance of the 2016 Computer Supported Cooperative Work Conference in San Francisco. Over 40 participants representing more than 20 institutions and a wide range of disciplines spent the day developing a research agenda for human centered data science. Position papers submitted by workshop participants can be found here.