HDS Lab Director Cecilia Aragon recently received a Fulbright award from the U.S. Department of State. The purpose of the Core Fulbright U.S. Scholar Program is to enhance the exchange of knowledge and skills between people of the United States and other countries. Dr. Aragon will use the award to support work at the Universidad Técnica Federico Santa María in Valparaiso, Chile. There, she will collaborate with Chilean scholars to conduct research on human-centered data science and social media analysis, and will teach a course in visual analytics.
News / Comments Off on HDS Lab Director Cecilia Aragon awarded Fulbright
News / Comments Off on HDS Lab member Nan-Chen Chen named Allen Institute’s Intern of the Year
HDS Lab member Nan-Chen Chen was recently named the 2016 Intern of the Year at the Allen Institute for Artificial Intelligence, where she worked with Dr. Been Kim on the Aristo project. In that role, Chen designed and built a visual analytics tool called QSAnglyzer that is now being used by developers at the Allen Institute working on a question answering system.
News / Comments Off on Member Meg Drouhard works to put sidewalks on the map
Lab member Meg Drouhard worked as a fellow for the Data Science for Social Good program at UW’s eScience Institute over the summer. Meg’s “Open Sidewalks” team–four fellows, two data scientists, and two project leads–worked to improve standards and make more pedestrian data openly available. In particular, they focused on expanding access to data that could help people with limited mobility better navigate cities. The project was featured on the White House Fact Sheet (https://tcat.cs.washington.
News / Comments Off on HDS Lab members mark milestones
HDS Lab member Katerena Kuksenok successfully defended her doctoral dissertation on the interaction between programming and scientific practices in oceanography. As projects involve more people, longer time spans, and more ambitious collaboration between disciplines, understanding how coding practices influence scientific inquiry is increasingly important. The discussion of “best practices” in open science encourages the sharing of negative results and disappointing data as a top priority. This call for reflection on failure must be extended to include code work. With data as well as with code sharing, repeated “best practices” are not sufficient to inspire change, even for those scientists who openly feel they “should” do it. The conceptual framework Katie proposes creates optimistic vocabulary for reflecting upon deliberate change.
Also, HDS Lab member and communication graduate student, Anissa Tanweer, completed her general exams this quarter and advanced to PhD candidacy. Her dissertation work will focus on the drive to use big data in the pursuit of social change and policy formation, and the cross-sector collaborations that support that movement.
News / Comments Off on Dr. Fiore-Gartland speaks at the Convening on Urban Data Science
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.
News / Comments Off on HDS Lab member Nan-Chen Chen presents at CSCW
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
News / Comments Off on HDS Lab members organize and participate in Human-Centered Data Science Workshop
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.
News / Comments Off on Human-Centered Data Science featured at the UW Data Science Poster Session
News / Comments Off on HDS Lab members advance to candidacy
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.”
News / Comments Off on UW launches new data science master’s degree program
The University of Washington is launching a new master’s degree program in data science. The program was designed in collaboration between six UW departments and the eScience Institute, with input from data science hiring managers from around the country. HDS Lab Director, Cecilia Aragon, serves as co-chair of the UW Interdisciplinary Data Science Group that is coordinating the formation of the Master of Science in Data Science program.
The 45-credit MSDS program will launch in autumn 2016, and will accept full and part-time students. The curriculum covers a range of skills that are in high demand in today’s job market, including statistical modeling, machine learning, software engineering, data management, data visualization and user interface design. A full description of the program can be found here, and a press release is available here.