February 27, 2018
Global Women in Data Science Conference Comes to CMU
The Women in Data Science Conference (WiDS) shines an international spotlight on the work done by women in the field of data science. Happening March 9, 2018, this all-day conference will come to the Cohon University Center on Carnegie Mellon University’s campus with the purpose to inspire and education data scientists worldwide, regardless of gender, and support women in the field.
WiDS will feature Carnegie Mellon University faculty, including Marlene Behrmann, the Cowan University Professor of Cognitive Neuroscience in the Dietrich College of Humanities and Social Sciences; Amelia Haviland, associate professor of statistics and health policy in the Heinz College of Information Systems and Public Policy; Kathryn Roeder, the UPMC Professor of Statistics and Computational Biology and vice provost for faculty; and Manuela Veloso, the Herbert A. Simon University Professor and head of the Machine Learning Department in the School of Computer Science.
There will also be a networking lunch session, giving students and professionals to interact with CMU groups and companies to learn about opportunities in data science. Confirmed participants include CMU's Women in Statistics, Information Networking Institute, Integrated Innovation Institute, Sports Analytics, Women@SCS, School of Computer Science and Department of Electrical and Computer Engineering.
WiDS is primarily located in Stanford, California, with more than 80 satellite conferences across the globe. In 2017, more than 75,000 people attended the conference in person and via livestreams.
Women in Data Science Pittsburgh @ CMU Schedule
Registration and Light Breakfast, 8 a.m. to 9 a.m.
Opening Remarks and Introductions, 9 a.m. to 9:30 a.m.
Morning Keynote and Technical Vision Talks, 9:30 a.m. to 12 p.m.
Lunch and Breakout Sessions, 12 p.m. to 1:30 p.m.
Afternoon Keynote and Technical Vision Talks, 1:30 p.m. to 5 p.m.
Reception, 5 p.m. to 7 p.m.
WiDS @ CMU is sponsored by Microsoft and Thermo Fisher.