The Women in Data Science (WiDS) Conference aims to inspire and educate data scientists, regardless of gender, and support women in the field.

​This one-day technical conference provides an opportunity to hear about the latest data science related research in a number of domains, learn how leading-edge companies are leveraging data science for success, and connect with potential mentors, collaborators, and others in the field.

Local University of Michigan speakers include Amy Cohn (Professor, CoE), Stephanie Teasley (Professor, SI), Yi Li Murphey (Associate Dean, Professor Engineering, UM - Dearborn), and Anna Gilbert (Professor, Math). The day will conclude with a Michigan Institute for Data Science (MIDAS) Seminar lecture with invited guest, Dr. Yao Xie, Assistant Professor of of Industrial & Systems Engineering at Georgia Tech.

A poster session will run through the course of the talks and panel. Lunch will be provided but space is limited so please register.

The event will be held in conjunction with Stanford University which will be livestreamed globally. Local attendees will be able to view the livestream from Stanford.