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WiDS Stanford Conference 2017

Summary

On February 3, 2017, 400+ attendees gathered at Stanford University and 80 locations worldwide for the 2nd annual Women in Data Science (WiDS) Conference.

Event Program

February 3, 2017

9:00-9:10am

Opening Remarks

Margot Gerritsen

9:10-9:30am

Fireside Chat

Lori Sherer

Caitlin Smallwood

9:30-10:10am

Morning Keynote

Diane Greene

10:10-10:15am

Regional event check-in

10:55-11:10am

Break

12:10-1:40pm

LUNCH; BREAKOUTS

2:20-2:25pm

Regional event check-in

3:05-3:20pm

BREAK

3:20-4:15pm 

Career Panel

4:55-5:00pm

Closing Remarks

Margot Gerritsen

5:00-7:00pm

Networking Reception

*All times are UTC -8

Speakers

Margot Gerritsen

Executive Director

Lori Sherer

WiDS Worldwide Advisory Committee Chair, Partner, Bain & Company

Caitlin Smallwood

VP, Data Science & Engineering, Search & Assistant, Google

Diane Greene

Senior Vice President, Google

Miriah Meyer

Professor at University of Utah

Sinead Kaiya

COO at SAP

Janet George

CVP Data Center & Artificial Intelligence, GM Cloud Enterprise, AI, Security Solutions Group, Intel Corporation

Megan Price

Executive Director, HRDAG (Human Rights Data Analysis Group)

Fei-Fei Li

Associate Professor at Stanford University

Deborah Frincke

Associate Labs Director, National Security Programs, Sandia National Laboratories

Susan Holmes

Professor of Statistics, Stanford University

Stephanie Gottlieb-Zeh

President, Agileo Ventures

Finale Doshi-Velez

Gordon McKay Professor of Computer Science, Harvard University

Claudia Perlich

Data Scientist, Two Sigma

Videos

A Quest for Visual Intelligence in Computers | Fei-Fei Li | WiDS 2017

TOPICS: Algorithms , Data Wrangling , Hardware

Beware what you ask for: The secret life of predictive models | Claudia Perlich | WiDS 2017

TOPICS: Algorithms , Data Generation/Collection , Data Wrangling , Foundations (Mathematics/Statistics)

Claudia Perlich | The Secret Life of Predictive Models | Stanford 2017

TOPICS: Algorithms , Data Generation/Collection , Data Wrangling , Foundations (Mathematics/Statistics)

Closing Remarks | Margot Gerritsen | WiDS 2017

TOPICS: Foundations (Mathematics/Statistics)

Data Science Supporting National Security | Dr. Deborah Frincke | WiDS 2017

TOPICS: Algorithms , Data Generation/Collection , Data Wrangling , Values

Data Science, Making the World Run Better | Sinead Kaiya | WiDS 2017

TOPICS: Algorithms , Data Wrangling

Designing Visualizations: A Systematic Approach | Miriah Meyer | WiDS 2017

TOPICS: Algorithms , Data Wrangling , Values

How Data Science is Revolutionizing the Oil & Gas Industry | Stephanie Gottlieb-Zeh | WiDS 2017

TOPICS: Algorithms , Data Generation/Collection , Foundations (Mathematics/Statistics) , Hardware , Values

Industrialized Data Science – Practical use cases | Janet George | WiDS 2017

TOPICS: Algorithms , Hardware

Keynote Address | Diane Greene | WiDS 2017

TOPICS: Algorithms , Data Generation/Collection , Data Science as a Career , Hardware , Software Design and Engineering

Machine Learning to Determine How Many People Have Been Killed in Syria | Megan Price | WiDS 2017

TOPICS: Foundations (Mathematics/Statistics) , Software Design and Engineering

Making a complete toolbox for quantitative biological data analyses | Susan Holmes | WiDS 2017

TOPICS: Data Generation/Collection , Data Wrangling , Foundations (Mathematics/Statistics) , Values

Megan Price | Machine Learning to Determine How Many Have Been Killed in Syria | Stanford 2017

TOPICS: Data Science as a Career , Foundations (Mathematics/Statistics) , Software Design and Engineering

Opening Remarks | Margot Gerritsen | WiDS 2017

TOPICS: Data Generation/Collection

What Machine Learning Can Do for Healthcare | Finale Doshi-Velez | WiDS 2017

TOPICS: Algorithms , Data Wrangling , Foundations (Mathematics/Statistics)

Other Media

Youtube Playlist