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Events | Central Conferences | WiDS Stanford Conference 2018

WiDS Stanford Conference 2018

Summary

On March 5, 2018, 400+ attendees gathered at Stanford University and 150+ locations worldwide for the 3rd annual Women in Data Science (WiDS) Conference. 

Event Program

March 5, 2018

8:30am

Speed Networking with Anita Rao, Director of Enterprise Data Services, PayPal

9:00-9:10am

Opening Remarks

Margot Gerritsen
9:10-9:30am

Welcome Address

Maria Klawe
9:30-10:05am

Keynote Address: When Data Science IS the Business

Leda Braga
10:05-10:10am

Regional Event Check-in

10:10-10:30am

Technical Vision Talk: Healthcare Beyond the Horizon - Going Digital to Improve People's Lives

Mala Anand
10:30-10:50am

Technical Vision Talk: How Cascades Grow

Lada Adamic
10:50-11:10am

Morning break

11:10-11:15am

WiDS Datathon Winners Announced

Margot Gerritsen
11:15-11:35am

Technical Vision Talk: Data Driven Story Telling

Nathalie Henry Riche
11:35-11:55am

Technical Vision Talk: More Data, More (Statistical) Problems

Daniela Witten
11:55a-12:30pm

Keynote Address: Data Science to Save the World

Latanya Sweeney
12:30-2:00pm

Lunch and Breakouts

2:00-2:35pm

Keynote Address: From Insights to Solutions: An Invitation to the AI Journey

Jia Li
2:35-2:55pm

Technical Vision Talk: Integrating Data Science and Cyber Security

Bhavani Thurasingham
2:55-3:15pm

Technical Vision Talk: Scaling Data Science

Elena Grewal
3:15-3:30pm

Afternoon break

3:30-3:35pm

 Regional event check-in

3:35-4:15pm

Career Panel

Ziya Ma

Jennifer Prendki

Bhavani Thurasingham

Elena Grewal
4:15-4:35pm

Technical Vision Talk: A Universe of Data Challenges

Risa Wechsler
4:35-4:55pm

Technical Vision Talk: Dynamic Pricing and Matching in Ride-Sharing

Dawn Woodard
4:55-5:00pm

Closing Remarks

Margot Gerritsen
​5:00-7:00pm

Networking Reception

*All times are UTC -8

Speakers

Margot Gerritsen

Executive Director

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

A Universe of Data Challenges | Risa Wechsler | WiDS 2018

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

Bhavani Thurasingham, UT Dallas | WiDS 2018

TOPICS: Algorithms , Data Science as a Career , Foundations (Mathematics/Statistics)

Career Panel | WiDS 2018

TOPICS: Algorithms , Data Generation/Collection , Data Science as a Career , Data Wrangling , Values

Closing Remarks | Margot Gerritsen | WiDS 2018

TOPICS: Data Science as a Career , Values

Daniela Witten, University of Washington | WiDS 2018

TOPICS: Algorithms , Data Science as a Career , Foundations (Mathematics/Statistics)

Data Science to Save the World | Latanya Sweeney | WiDS 2018

TOPICS: Data Science as a Career , Foundations (Mathematics/Statistics) , Values

Data-Driven Storytelling | Nathalie Henry Riche | WiDS 2018

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

Dawn Woodard, Uber | WiDS 2018

TOPICS: Algorithms , Data Generation/Collection , Data Science as a Career , Foundations (Mathematics/Statistics)

Dynamic Pricing and Matching in Ride-Sharing | Dawn Woodard | WiDS 2018

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

From Insights to Solutions: An Invitation to the AI Journey | Jia Li | WiDS 2018

TOPICS: Algorithms , Data Science as a Career , Foundations (Mathematics/Statistics)

How Cascades Grow | Lada Adamic | WiDS 2018

TOPICS: Data Generation/Collection

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)

Jennifer Prendki, Atlassian | WiDS 2018

TOPICS: Algorithms

Latanya Sweeney, Harvard University | WiDS 2018

TOPICS: Data Science as a Career , Software Design and Engineering

Mala Anand, SAP | WiDS 2018

TOPICS: Algorithms , Data Wrangling

Margot Gerritsen, Stanford University | WiDS 2018

TOPICS: Algorithms , Data Generation/Collection , Data Science as a Career , Foundations (Mathematics/Statistics) , Values

Maria Klawe, Harvey Mudd College | WiDS 2018

TOPICS: Algorithms , Data Science as a Career , Values

Nathalie Henry Riche, Microsoft Research | WiDS 2018

TOPICS: Data Science as a Career , 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

Opening Remarks | Margot Gerritsen | WiDS 2018

TOPICS: Algorithms

Ruth Marinshaw, Research Computing | WiDS 2018

TOPICS: Algorithms , Data Science as a Career , Data Wrangling , Hardware

Scaling Data Science | Elena Grewal | WiDS 2018

TOPICS: Algorithms , Data Science as a Career , Data Wrangling

Vijay Raghavendra, Walmart Labs | WiDS 2018

TOPICS: Algorithms

WIDS Datathon Winners | WiDS 2018

TOPICS: Algorithms , Data Generation/Collection

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

Ziya Ma, Intel Corporation | WiDS 2018

TOPICS: Algorithms , Data Science as a Career , Data Wrangling , Foundations (Mathematics/Statistics)

Other Media

Youtube Playlist