Events WiDS Stanford Conference 2017
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 Type
Central Conference
Date
February 3, 2017
Time
8:00 am - 7:00 pm (UTC -8)
Location
Frances C. Arrillaga Alumni Center
326 Galvez Street
Event Type
Hybrid
Language
English
Sponsors
Walmart Labs
SAP
Microsoft
Google
Stanford President's Office
Stanford Mobilize
Computer Forum
Stanford ICME
Stanford Statistics
Stanford BDSI
Social Links
Instagram
Facebook
Twitter
LinkedIn
Youtube
Event Program
February 3, 2017
*All times are UTC -8
Speakers
WiDS Worldwide Advisory Committee Chair, Partner, Bain & Company
VP, Data Science & Engineering, Search & Assistant, Google
Senior Vice President, Google
Professor at University of Utah
CVP Data Center & Artificial Intelligence, GM Cloud Enterprise, AI, Security Solutions Group, Intel Corporation
Executive Director, HRDAG (Human Rights Data Analysis Group)
Associate Professor at Stanford University
Associate Labs Director, National Security Programs, Sandia National Laboratories
Professor of Statistics, Stanford University
President, Agileo Ventures
Gordon McKay Professor of Computer Science, Harvard University
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)
