UW Allen School Professor Kevin Jamieson receives 2026 AISTATS Test of Time Award
The AISTATS Test of Time Award recognizes a paper, published at the conference roughly a decade earlier, whose ideas have had unusually durable impact on the field.
University of Chicago Wins Distinguished Laude Institute Moonshots Seed Grant
The University of Chicago Data Science Institute faculty, affiliated faculty, and partners win seed funding to advance actionable AI weather forecasting in developing economies in Africa and Asia.
Maryam Fazel Receives the 2025 Farkas Prize
IFDS director Maryam Fazel received the 2025 Farkas Prize from the INFORMS Optimization Society. The Farkas Prize is an annual award honoring a mid-career researcher for outstanding, career-spanning contributions to the field of optimization. Fazel was recognized for her foundational work in optimization and pioneering contributions to data science and artificial intelligence." INFORMS citation
IFDS workshop brings together experts to help make AI more reliable, robust, and trustworthy
The Institute for Foundations of Data Science (IFDS) brought AI and machine learning experts from across the nation to the University of Washington to discuss and explore the mathematical, statistical, and algorithmic underpinnings of modern AI systems. The IFDS Workshop on Theoretical Foundations of Applied AI was held in August 2025 at the Bill & Melinda Gates Center for Computer Science & Engineering on the UW campus.
The recorded talks on “Theoretical Foundations of Applied AI” now available
A big thank you to the workshop co-organizers: Zaid Harchaoui (UWash), Kevin Jamieson (UWash), Robert Nowak (UWisc), and Maryam Fazel (UWash).
Announcing the IFDS Workshop on “Theoretical Foundations of Applied AI” at the University of Washington, August 13-15, 2025
This workshop brings together a diverse group of theoreticians and applied researchers to explore the theoretical underpinnings behind the successes and limitations of modern AI.
Ilias Diakonikolas wins ACM Grace Hopper Award for breakthrough techniques in algorithm design
Ilias Diakonikolas, Sheldon B. Lubar professor of Computer Sciences, received the 2024 Association for Computing Machinery (ACM) Grace Murray Hopper Award, one of the highest honors for young researchers in computing.
Federal budget cuts threaten to decimate America’s AI superiority—and other countries are watching
In an op-ed for Fortune magazine, Rebecca Willett, IFDS executive committee member, and Henry Hoffmann discuss how federal research cuts threaten to devastate America’s innovation and dominance in artificial intelligence.
Data Meets Dynamics: Workshop on Data Assimilation for Complex Systems and Applications coming to Wisconsin in August 2025
This event is a collaboration between the IFDS at UW-Madison and the Data Science Center at Brigham Young University (BYU), a key partner of the UW IFDS.
Former IFDS Wisc RA Named Rising Star in Machine Learning
Ying Fan, a former IFDS Wisc RA advised by Kangwook Lee, has been selected as a 2024 Rising Star in Machine Learning. The award recognizes her outstanding achievements and potential in advancing the field of machine learning. She was invited to deliver a talk at the Rising Star in Machine Learning series, held on December 5 and 6 at the University of Maryland, College Park.