HDS Lab member Nan-Chen Chen presents at CSCW

Posted by Anissa Tanweer on March 04, 2016

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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 members organize and participate in Human-Centered Data Science Workshop

Posted by Anissa Tanweer on March 04, 2016

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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.

Human-Centered Data Science featured at the UW Data Science Poster Session

Posted by Anissa Tanweer on February 11, 2016
021016_nanchen_UWDS_networkingHDS Lab PhD student Nan-Chen Chen participated in the UW Data Science Poster and Networking Session held on February 10th. The campus-wise event provided an opportunity to share work with the academic community and regional partners, and to connect with other people who work in data-intensive domains. Her poster, Building Visual Analytics Tools for Enabling Human-Centered Data Science, briefly introduced the domain of Human-Centered Data Science (HDS) and illustrated a few visual analytics projects she has been working on. The PDF file of her poster can be found here.

HDS Lab members advance to candidacy

Posted by Anissa Tanweer on January 26, 2016

HDS Lab members, Ray Hong and Katie Kuksenok, have passed their exams and advanced to PhD candidacy. Ray’s doctoral research in Human Centered Design and Engineering is focused on developing a methodology for distance cartograms, and Katie’s Computer Science dissertation is titled, “Adoption and Adaptation of Programming Practices in Oceanography.”