Women in Data Science (WiDS) Conference

March 05, 2018

Content

Overview

Organizers:

Maria Gini	University of Minnesota, Twin Cities
Claudia Neuhauser	University of Minnesota, Twin Cities
Lan Wang	University of Minnesota, Twin Cities

The IMA is pleased to be one of more than 100 satellite locations that will host a regional Women in Data Science (WiDS) event in conjunction with the annual WiDS Conference taking place at Stanford University. In addition to live-streaming the conference, the IMA event will feature talks from University of Minnesota faculty and local data scientists. Students and postdocs will have the opportunity to present a poster and give short talks.

The 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.

This event is intended for local participants as no funding is available. Please apply through the online application.

Schedule

Monday, March 05, 2018

8:45 am - 9:10 am	Coffee and bagels	Lind 400
9:10 am - 9:15 am	Introductions	Lind 305
9:15 am - 9:45 am	Local keynote lecture: Ways of Knowing in HCI Haiyi Zhu (University of Minnesota, Twin Cities)	Lind 305
9:45 am - 10:00 am	Break	Lind 400
10:00 am - 10:30 am	Local keynote lecture: Reinforcement learning for functional state space with application to Type 1 Diabetes Susan Wei (University of Minnesota, Twin Cities)	Lind 305
10:30 am - 11:00 am	Break	Lind 400
11:00 am - 11:30 am	WiDS opening remarks and welcome	Lind 305
11:30 am - 12:05 pm	WiDS Keynote 1 - Leda Braga (Systematica Investments)	Lind 305
12:05 pm - 12:10 pm	Regional event 'check-in'	Lind 305
12:10 pm - 12:50 pm	WiDS technical vision talks
12:50 pm - 1:15 pm	Lunch break	Lind 305
1:15 pm - 1:55 pm	WiDS technical vision talks	Lind 305
1:55 pm - 2:30 pm	WiDS Keynote 2 - Latanya Sweeney (Harvard University)	Lind 305

Participants

Name	Department	Affiliation
Sakshi Arya		University of Minnesota, Twin Cities
Valerie Barbaro	Curriculum & Instruction - Learning Technologies	University of Minnesota, Twin Cities
Nicole Bridgland	School of Mathematics	University of Minnesota, Twin Cities
Debojeet Chatterjee	Department of Computer Science	University of Minnesota, Twin Cities
Linh Chau	Department of Biology Teaching and Learning	University of Minnesota
Mary Christoph	Division of Epidemiology and Community Health	University of Minnesota
Dr. Uchenna Chukwu		Chi's Research Corporation
Jacqueline Gauer	Office of Medical Education	University of Minnesota, Twin Cities
Maria Gini	Department of Computer Science and Engineering	University of Minnesota, Twin Cities
Jia Gou	School of Mathematics	University of Minnesota, Twin Cities
Lisa Johnston	University Libraries	University of Minnesota, Twin Cities
Maria Kalantzi	Department of Computer Science and Engineering	University of Minnesota, Twin Cities
Alifia Kapaddia		Target
Pinar Karaca-Mandic	Department of Finance	University of Minnesota
Prableen Kaur	Department of Computer Science and Engineering	University of Minnesota, Twin Cities
Juhyun Kwon		University of Minnesota, Twin Cities
Yi Liu	School of Statistics	University of Minnesota, Twin Cities
Yuchen Luo	Department of Mechanical Engineering	University of Minnesota, Twin Cities
Sona Maniyan		Target Corporation
Tanushree Naik	BMBB	Biotechnology Institute
Claudia Neuhauser	Office of the Vice President for Research	University of Minnesota, Twin Cities
Haema Nilakanta		University of Minnesota, Twin Cities
Steve Palm		Saint-Gobain SageGlass
Agoritsa Polyzou	Department of Computer Science and Engineering	University of Minnesota, Twin Cities
Ioanna Polyzou	Department of Computer Science and Engineering	University of Minnesota, Twin Cities
Samu Radhakrishnan	RMK	SAP
Erin Syverson	Department of Industrial and Systems Engineering	University of Minnesota, Twin Cities
Kelly Thompson		University of Minnesota, Twin Cities
Lan Wang	School of Statistics	University of Minnesota, Twin Cities
Simin Wang	Department of Computer Science	University of Minnesota, Twin Cities
Wen Wang	Department of Computer Science and Engineering	University of Minnesota, Twin Cities
Susan Wei	Division of Biostatistics	University of Minnesota, Twin Cities
Huilin Zhang	Department of Computer Science and Engineering	University of Minnesota, Twin Cities
Haiyi Zhu	Computer Science	University of Minnesota, Twin Cities