Lab Director and HCDE Professor Cecilia Aragon was recently invited to present seminars on data science at the two leading universities in Chile. She gave an invited talk on human-centered data science at the Millennium Project in Semantic Web Research (http://ciws.cl) at the University of Chile and then presented an interactive seminar on applications of human-centered data science to business and innovation in the Innovation Center at the Pontificia Universidad Católica de Chile. During her stay in Santiago, Aragon collaborated with researchers in the Department of Computer Science and the Center for Mathematical Modeling at the University of Chile and in the School of Design and Business School at the Universidad Católica.
HDS lab member, Ray Hong, will present a talk titled, “Improving Game Experiences” at the 2015 ACM Conference on Human Factors in Computing Systems (CHI) in Seoul, Korea. Hong will present empirical data on the usability and usefulness of the Vizmo prototype, a new way of browsing video games based on their visual style and mood. The CHI talk is based on a paper title “VIZMO Game Browser: Accessing Video Games by Visual Style and Mood,” co-authored by Jin Ha Lee, Sungsoo (Ray) Hong, Hyerim Cho, and Yea-Seul Kim. More about Vizmo can be found here: http://vizmo.mooo.com/.
Two members of the Human-Centered Data Science Lab have been recognized for their outstanding contributions to Human Centered Design and Engineering. Daniel Perry received the 2015 HCDE Student Innovator Award for Research, and Taylor Scott received the 2015 HCDE Student Innovator Award for Teaching. Recipients of the departmental Innovator Awards are in turn nominated for the College of Engineering’s Community of Innovators Awards, which will be announced in May 2015.
Lab Director and HCDE Professor Cecilia Aragon presented at the American Association for the Advancement of Science’s annual meeting in San Jose, California on Feb. 15th. In a talk titled “Future Career Paths for Data Scientists in Academia,” she addressed the human dimensions of data science that will be important for academic careers in the field. The talk was part of a larger session titled “Advancing University Career Paths in Interdisciplinary Data-Intensive Science,” led by University of Washington faculty, as well as additional members of the five-year Moore/Sloan data science initiative from UC Berkeley, and New York University.
An article about the presentation was recently featured in UW Today: http://www.washington.edu/