By Robin Brooks
The UW Data Science Poster and Networking Session, hosted by the eScience Institute, was held on February 21, 2017, at the Mary Gates Commons. Over 50 students, postdoctoral candidates and researchers representing more than 30 departments on campus presented posters. Topics ranged from tracking microbubbles to open data literacy to design technologies for treating depression in North Korean defectors.
One of the session’s objectives was to encourage the sharing of analysis and information, and it was open to all disciplines. This is the third year that the Institute has hosted the poster session, which was also attended by those interested in learning more about how researchers across disciplines are employing data-intensive tools and techniques to their field of discovery.
There were two posters chosen to receive prizes for their efforts. Nicholas Reder won first prize for his poster focused on “Panoramic light-sheet microscopy for slide-free 3D pathology” and Kelsey Maass and Aleksandr Aravkin won honorable mention for their poster “Image deblurring with blur learning”.
Find this year’s program in this PDF: eScience Poster Day 2017 Program_email, and a poster gallery will be coming soon.