Anima Anandkumar: Enabling Zero-Shot Generalization in AI4Science | IACS Distinguished Lecturer

Peter Dayan: Peril, Prudence and Planning as Risk, Avoidance and Worry | IACS Distinguished Lecturer

Lois Curfman McInnes: Scientific software ecosystems and communities | IACS Distinguished Lecturer

Petros Koumoutsakos: Artificial and natural optimization | IACS Distinguished Lecturer

David Keyes: Linear Algebra Algorithms for Large-scale Applications | IACS Distinguished Lecturer

Karen Willcox: Learning physics-based models from data | IACS Distinguished Lecturer

Susan Murphy: We used RL; but did it work? | IACS Distinguished Lecturer

Yoshua Bengio: Generative Flow Networks | IACS Distinguished Lecturer

WiDS 2022 Women of Color in Data Science

WiDS 2022 Lightning Talks

WiDS 2022 Keynote

WiDS 2022 Datathon

WiDS 2022 Data science and climate Change

WiDS 2022 Conference Overview

Emmanuel Candès: Recent Progress in Predictive Inference | IACS Distinguished Lecturer

Kathy Yelick: Machine Learning in Science | IACS Distinguished Lecturer

Karim Pichara: NotCo - Creating an AI that Fixes the Broken Food Industry | IACS Seminar

Thore Graepel: Automatic Curricula in Deep Multi-Agent Reinforcement Learning | IACS Seminar

Laure Zanna: The future of climate modeling in the age of artificial intelligence | IACS Seminar

Trevor David Rhone: Quantum Materials Design Using Artificial Intelligence | IACS Seminar

Emma Pierson: Data science for social equality | IACS Seminar

Siddhartha Mishra: Deep Learning and Computations of high-dimensional PDEs | IACS Seminar

Caroline Uhler: Autoencoders & causality in the Light of Drug Repurposing for COVID19 | IACS Seminar

Chris Tanner: Hard NLP Tasks: Determining who is who and what is what | IACS Seminar

WiDS 2021 Keynote Peko Hosoi

WiDS 2021 | Poster Sessions

WiDS 2021 | Bias and Equity within Data Science

WiDS 2021 Keynote Peko Hosoi, MIT

WiDS 2021 | Datathon

WiDS 2021 | Machine Learning for Health Care