Dear Computational Social Sciences Workshop Members,
On Feb. 3, 2017, an all-day Women in Data Science (WiDS) conference will be held at the University of Michigan in conjunction with a main event at Stanford University. This one-day technical conference will combine local faculty presentations with the live-stream of the opening keynote and select technical vision talks from the WiDS Conference at Stanford University. WiDS features female speakers from multiple domains, covering machine learning, data visualization, bioinformatics, geosciences, and more. Our goals are to educate, inspire and motivate students, faculty, and industry partners to enter or stay in the data science field. Stanford has an exciting line up of speakers and will live stream around the globe with Michigan being one of the partners.
Part of the activities here at UMICH will be faculty technical vision talks and a panel addressing Data Science challenges and technical issues. The UM faculty speakers include Stephanie Teasley, Amy Cohn, Emily Mower Provost, Mingyan Liu, Yi Lu Murphey (UM Dearborn, Chair), and moderated by Anna Gilbert. These faculty will showcase their exciting research and discuss the current and future challenges in Data Science. As this is an event to showcase the breadth and strength of women in data science, we will keep our focus on the research challenges at hand from a UMICH perspective.
The day will start off with a networking breakfast followed by the 5 technical talks and then a panel for questions and answers. After the panel will be a luncheon during which we will begin the live stream from Stanford University. At 3:30pm we will relocate to Rackham for a MIDAS Seminar by Dr. Yao Xie, Georgia Tech, which will be followed by a networking reception.
Please consider attending and help us spread the word about the conference. As seating is limited to 96, registration is required. While the conference speakers are women, the conference is open to all faculty, students, and staff.
Thank you so much for your consideration. Please let me know if you have any questions.
Moira C. Dowling, MPH
Sr. Project Manager
Michigan Institute for Data Science (MIDAS)