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WiDS Worldwide Virtual Conference 2023

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On September 14, 2023 WiDS hosted a 5-hour virtual conference across the globe. Nineteen phenomenal women in data science from all corners of the world came together to discuss insights and thought provoking issues in Economic Justice, Natural Language Processing & Large Language Models, Sustainability, Health & Safety, and Leadership.

Watch the replay of our 2023 Virtual Conference to be inspired.


Haishan Fu

​Chief Statistician and Director of the Development Data Group, World Bank

Susan Doniz

Chief Information and Data Analytics Officer, The Boeing Company

Chelsea Finn

Assistant Professor in Computer Science and Electrical Engineering, Stanford University

Kathleen Siminyu

Kiswahili Machine Learning Fellow, Mozilla

Karen Hao

Contributing Writer for The Atlantic

Gopika Suresh

Senior EO Scientist Expert and Co-founder & CSO, Unique Land use GmbH and Marble Imaging GmbH

​Fiorenza Micheli

Professor of Marine Science, Chair of Oceans Department School of Sustainability, Stanford University

​Marilia Gaiarsa

Assistant Professor at the Life and Environmental Sciences Department, UC Merced

Ivy Ross

Vice President of Hardware Design, Google

Susan Magsamen

Founder and Executive Director of the International Arts + Mind Lab (IAM Lab), Center for Applied Neuroaesthetics

​Sparkle Russell Puleri

Director of CDS Advanced Analytics and Oncology, Gilead Sciences, Inc

Rhema Vaithanathan

Professor of Economics and Director of the Center for Social Data Analytics, ​Auckland University of Technology

Paula Petrone

Associate Research Professor, Biomedical Data Scientist, Barcelona Institute for Global Health (ISGlobal)

Milinda Lakkam

Engineering Manager of Machine Learning, LinkedIn

Ruth Schaber

President and Founder, Tara Health Foundation

Patience Marime-Ball

Chief Executive Office, Women of the World Endowment

​Brenda Darden Wilkerson

President and CEO,

Lama Moussawi

Professor at the American University of Beirut


Empowering Women to Shape the Future through Data (Science)

TOPICS: Data Science as a Career , Domains , Values

Powering Today, Predicting Tomorrow & Innovating for the Future

TOPICS: Data Generation/Collection , Data Science as a Career , Domains , Leadership/Management

Language Models Make Stuff Up. What Should We Do About It?

TOPICS: Algorithms , Values

Community Building Activities for Kiswahili Automatic Speech Recognition

TOPICS: Data Generation/Collection , Values

How the Other Half Lives: The Hidden Labor Behind ChatGPT

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

Language, Humanity, and AI

TOPICS: Algorithms , Values

Global Solutions for a Global World

TOPICS: Data Wrangling , Domains

Harnessing Data and Tech for Ocean Health and Sustainability

TOPICS: Data Generation/Collection , Domains

Untangling Nature’s Web: Pollination and the Path to a Sustainable Future

TOPICS: Data Generation/Collection , Domains

Planetary Health and Data

TOPICS: Data Generation/Collection , Values

Your Brain on Art: How the Arts Transform Us

TOPICS: Data Science as a Career , Domains

Data Science in the Healthcare and Life Sciences Industry

TOPICS: Algorithms , Data Generation/Collection , Domains , Software Design and Engineering

Can Algorithms Reduce Bias? Evidence from Child Welfare & Homelessness Systems

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

Can Artificial Intelligence Today “See” Beyond the Expert Clinical Eye?

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

Improving the Human Condition with Data Science

TOPICS: Values

Bursting Pipelines & Glass Cliffs: Women & Leadership in the MENA Region

TOPICS: Data Science as a Career , Domains , Featured

Navigating the Trenches: Managerial Challenges in Machine Learning for Anti-Abuse

TOPICS: Data Science as a Career , Domains

Women as Financial Decision-Makers: Unlocking Higher Returns and Lower Risk with the XX Edge

TOPICS: Data Science as a Career , Domains , Leadership/Management

Systemic Bias, Leadership & Investing

TOPICS: Domains , Leadership/Management , Values

Recognizing Our Collective Power for Change

TOPICS: Data Science as a Career , Domains , Values