WiDS Stanford Conference 2018
Join Us
On March 5, 2018, 400+ attendees gathered at Stanford University and 150+ locations worldwide for the 3rd annual Women in Data Science (WiDS) Conference.
Speakers
Margot Gerritsen, WiDS Worldwide, Stanford University
Co-Founder, WiDS Worldwide
Maria Klawe
President at Harvey Mudd College
Leda Braga
Founder and CEO, Systematica Investments
Mala Anand
EVP, President of Leonardo, Data & Analytics at SAP
Lada Adamic
Research Scientist Manager at Facebook
Karen Matthys
Executive Director External Partners, Stanford University, ICME
Nathalie Henry Riche
Principal Researcher, Microsoft
Daniela Witten
Professor, University of Washington
Latanya Sweeney
Professor, Harvard University
Jia Li
Head of R&D Cloud AI, Google
Bhavani Thurasingham
Founder Chair Professor of Computer Science, The University of Texas at Dallas
Elena Grewal
Founder, Data2thePeople
Ziya Ma
VP Software and Services Group and Director of Big Data Technologyies at Intel Corporation
Jennifer Prendki
Founder and CEO, Alectio
Risa Wechsler
Director, Stanford University
Dawn Woodard
Distinguished Engineer/Scientist, LinkedIn
Videos
Welcome Address | Maria Klawe | WiDS 2018
TOPICS: Data Science as a Career , Foundations (Mathematics/Statistics)
When Data Science IS the Business! | Leda Braga | WiDS 2018
TOPICS: Algorithms , Data Generation/Collection , Data Wrangling , Foundations (Mathematics/Statistics) , Values
Scaling Data Science | Elena Grewal | WiDS 2018
TOPICS: Algorithms , Data Science as a Career , Data Wrangling
Data Science to Save the World | Latanya Sweeney | WiDS 2018
TOPICS: Data Science as a Career , Foundations (Mathematics/Statistics) , Values
More Data, More (Statistical) Problems | Daniela Witten | WiDS 2018
TOPICS: Data Generation/Collection , Data Science as a Career , Data Wrangling , Foundations (Mathematics/Statistics) , Values
From Insights to Solutions: An Invitation to the AI Journey | Jia Li | WiDS 2018
TOPICS: Algorithms , Data Science as a Career , Foundations (Mathematics/Statistics)
Healthcare Beyond the Horizon — Going Digital to Improve People’s Lives | Mala Anand | WiDS 2018
TOPICS: Algorithms , Data Science as a Career , Data Wrangling , Foundations (Mathematics/Statistics) , Hardware
Integrating Data Science and Cyber Security | Bhavani Thuraisingham | WiDS 2018
TOPICS: Algorithms , Data Generation/Collection , Data Science as a Career , Data Wrangling , Foundations (Mathematics/Statistics)
Career Panel | WiDS 2018
TOPICS: Algorithms , Data Generation/Collection , Data Science as a Career , Data Wrangling , Values
Dynamic Pricing and Matching in Ride-Sharing | Dawn Woodard | WiDS 2018
TOPICS: Algorithms , Data Generation/Collection , Foundations (Mathematics/Statistics)
A Universe of Data Challenges | Risa Wechsler | WiDS 2018
TOPICS: Algorithms , Data Generation/Collection , Data Wrangling , Foundations (Mathematics/Statistics)
Data-Driven Storytelling | Nathalie Henry Riche | WiDS 2018
TOPICS: Data Generation/Collection , Data Wrangling , Foundations (Mathematics/Statistics)
Ziya Ma, Intel Corporation | WiDS 2018
TOPICS: Algorithms , Data Science as a Career , Data Wrangling , Foundations (Mathematics/Statistics)
Ruth Marinshaw, Research Computing | WiDS 2018
TOPICS: Algorithms , Data Science as a Career , Data Wrangling , Hardware
Margot Gerritsen, Stanford University | WiDS 2018
TOPICS: Algorithms , Data Generation/Collection , Data Science as a Career , Foundations (Mathematics/Statistics) , Values
Latanya Sweeney, Harvard University | WiDS 2018
TOPICS: Data Science as a Career , Software Design and Engineering
Dawn Woodard, Uber | WiDS 2018
TOPICS: Algorithms , Data Generation/Collection , Data Science as a Career , Foundations (Mathematics/Statistics)
Other Media
Youtube Playlist