Events

May 18, 2025

Thought Summit: LLMS and Society

Bill and Melinda Gates Hall

Generative AI technologies like Large language models (LLMs) are rapidly becoming a part of people’s daily lives worldwide with its effects being felt nearly everywhere, including in high-stakes contexts like healthcare, law, education,...

May 5, 2025

MESSENGER LECTURE SERIES: CYNTHIA DWORK

12:00 amCornell

Harvard University computer scientist and "pioneer of modern data privacy" , Cynthia Dwork, is a Cornell Messenger Lecturer this spring. Cynthia was recently awarded the National Medal of Science, the highest national honor for...

April 17, 2025

Deanna Needell – Mathematics, UCLA

4:00 pmtbd

Title: Fairness and Foundations in Machine Learning Abstract: In this talk, we will address areas of recent work centered around the themes of fairness and foundations in machine learning as well as highlight the challenges...

April 9, 2025

Yuejie Chi – Electrical & Computer Engineering, Carnegie Mellon

4:15 pmtbd

SAVE THE...

February 25, 2025

Panos Toulis, Booth School of Business – University of Chicago

4:15 pmFrank H. T. Rhodes Hall

Randomization Tests for Robust Causal Inference in Network Experiments ABSTRACT Network experiments pose unique challenges for causal inference due to interference, where cause-effect relationships are confounded by network...

February 12, 2025

David Rand, MIT Sloan: Reducing the spread of misinformation and correcting inaccurate beliefs

3:30 pmGates Hall

Title: Reducing the spread of misinformation and correcting inaccurate beliefs ABSTRACT This talk will provide an overview of my research on misinformation, social media, and generative AI. First, I will discuss approaches for reducing...

December 6, 2024

CAM Colloquium & CDSES Distinguished Lecture – Johan Ugander, Management Science & Engineering, Stanford University

3:45 pmFrank H. T. Rhodes Hall

Jointly hosted by CAM, CDSES, and ORIE Title: Bridging-based fact-checking moderates the diffusion of false information on social media Abstract: Social networks scaffold the diffusion of information on social media. Much...

November 21, 2024

Adam Tauman Kalai: First-Person Fairness in Chatbots

11:45 amGates Hall

This lecture is a CS Colloquium co-sponsored with the Center for Data Science for Enterprise and Society’s Data Science Distinguished Lecture series. Abstract: Much research on fairness has focused on institutional decision-making tasks,...

November 15, 2024

CAM & ORIE Colloquium – Mengdi Wang, Center for Statistics and Machine Learning, Department of Electrical Engineering, Princeton University

3:45 pmFrank H. T. Rhodes Hall

Jointly hosted by CAM, ORIE, and CDSES, Mengi Wang will give a Data Science Distinguished Lecture as follows: Title: Capitalizing on Generative AI: Guided Diffusion Models Towards Generative Optimization Diffusion models represent a...

November 13, 2024

Sendhil Mullainathan – Law, Economics, and Policy Seminar

1:30 pmILR Conference Center

Sendhil Mullainathan The Peter de Florez Professor, In Electrical Engineering and Computer Science, and Economics, at MIT will be on campus as a Dean of Faculty Messenger Lecturer and a Data Science Distinguished Lecture for the...

November 12, 2024

Sendhil Mullainathan – CS and ORIE Colloquiums

11:45 amBill and Melinda Gates Hall

Sendhil Mullainathan The Peter de Florez Professor, In Electrical Engineering and Computer Science, and Economics at MIT will be on campus as a Dean of Faculty Messenger Lecturer and a Data Science Distinguished Lecture for the...

November 11, 2024

MESSENGER LECTURER: Sendhil Mullainathan, MIT

3:45 pmBaker Lab

Sendhil Mullainathan, The Peter de Florez Professor, In Electrical Engineering and Computer Science, and in Economics, at MIT, will be on campus as part of the Dean of Faculty Messenger Lecture series and the Data Science Distinguished...

September 22, 2024

Thought Summit on The Future of Survey Science: Sept. 2024

Cornell University

Government, industry, and academia depend on surveys more than ever before. However, shifting social behaviors, technology, and public trust mean that the accuracy and reliability of surveys are in flux. This Thought Summit brings together experts...

September 20, 2024

Thomas Magnanti, MIT to talk at D.R. Fulkerson Centennial Celebration

3:45 pmPhillips Hall

Data Science Distinguished Lecture Series Fulkerson 100 @ Cornell This distinguished lecture is part of the D.R. Fulkerson Centennial Celebration hosted by the School of Operations and Information Engineering Talk...

September 20, 2024

Fulkerson Centennial Celebration

Various - Ithaca Campus

The School of Operations Research & Information Engineering will be hosting Fulkerson100@Cornell September 20-21, 2024 on the Cornell Ithaca Campus, to celebrate the 100th anniversary of Ray Fulkerson’s...

August 13, 2024

2024 Econometric Society Interdisciplinary Frontiers (ESIF) conference on Economics and AI+ML

Cornell Univeristy, Ithaca, NY

The Econometric Society Interdisciplinary Frontiers (ESIF) conference on Economics and AI+ML will be hosted by Cornell University, in Ithaca NY, on August 13-14. The purpose of the meeting is to foster interaction of ideas and methodologies from the...

July 16, 2024

AI in Mobility Successes and Barriers – Oliver Wyman Forum

10:00 amVirtual

AI is often portrayed as a safety risk, but the mobility industry has a long history of using the technology to make travel safer, more efficient, and better for consumers. Its experience should inspire decision-makers in mobility and beyond as they...

June 4, 2024

Is There a Mathematical Formula for Fairness

1:00 pmWebcast

Mathematical techniques, such as optimization models, are used for decision-making in a wide variety of application areas, from medical care to congressional districting. Fairness is often an important part of decision-making, but it can be...

April 10, 2024

Bodhi Sen, Columbia University – Extending the Scope of Nonparametric Empirical Bayes

4:15 pmBiotechnology Building

This talk is co-sponsored by the Department of Statistics and Data Science and the Center for Data Science for Enterprise and Society. Abstract: In this talk we will describe two applications of empirical Bayes (EB) methodology. EB procedures...

March 11, 2024

ECE Seminar: Maryam Fazel, University of Washington

10:00 amPhillips Hall

Title: The Role of Loss Landscapes in Feedback Policy Optimization and in Neural Network Generalization Abstract: The first part of this talk focuses on recent developments in policy optimization (a gradient-based iterative approach for feedback...

March 7, 2024

Jelena Bradic – Exploring Robustness: Bridging Theory and Practice for Enhanced Discovery

4:15 pmBiotechnology Building

ABSTRACT This talk seeks to redefine the boundaries of statistical robustness. For too long, the field has languished in the shadows of contamination models, adversarial constructs, and outlier management—approaches that, while foundational,...

March 4, 2024

Suvrit Sra – AI and optimization through a geometric lens

3:45 pmFrank H. T. Rhodes Hall

Abstract: Geometry arises in a myriad ways across the sciences, and quite naturally also within AI and optimization. In this talk I wish to share with you examples where geometry helps us understand problems in machine learning, optimization, and...

February 6, 2024

Stefanie Jegelka, MIT – Learning with Structure: Graphs, Geometry and Generalization

11:45 amGates Hall

Abstract: One grand goal of machine learning is to design widely applicable and resource-efficient learning models that are robust, even under commonly occurring distribution shifts in the input data. A promising step towards this goal is to...

February 5, 2024

Algorithms, Race, and Redistricting: Can Computers Find Fairness? A talk by Moon Duchin, Tufts University – UNIVERSITY LECTURE

4:45 pmKlarman Hall

Today’s Supreme Court is unmistakably inclined to reject the use of race-conscious measures in law and policy — as Chief Justice Roberts memorably put it, “The way to stop discrimination on the basis of race is to stop discriminating on the...

February 2, 2024

A systems view of fair elections – Moon Duchin, Tufts University

3:45 pmBill and Melinda Gates Hall

This talk is part of the CAM Colloquium and Cornell’s Center for Data Science for Enterprise and Society’s Data Science Distinguished Lecture Series ABSTRACT: The mathematical attention to voting systems has come in waves: the first wave...

October 23, 2023

Bin Yu, UC Berkeley – Veridical Data Science Toward Trustworthy AI

3:45 pmBill and Melinda Gates

Veridical Data Science Toward Trustworthy AI “AI is like nuclear energy–both promising and dangerous.” Bill Gates, 2019 Data Science is central to AI and has driven most of recent advances in biomedicine and beyond. Human judgment...

October 12, 2023

George Staller Lecture: Jens Ludwig

4:30 pmStatler Hall

Jens Ludwig, Harris School of Public Policy “Economics and AI” Jens Ludwig is the Edwin A. and Betty L. Bergman Distinguished Service Professor at the University of Chicago, Pritzker Director of the University of Chicago’s Crime Lab,...

October 5, 2023

“What We See and What We Value: AI With a Human Perspective,” Dr. Fei-Fei Li (Stanford University)

4:30 pmAlice Statler Auditorium

In this talk, Dr. Fei-Fei Li, Sequoia Professor in the Computer Science Department at Stanford University and Co-Director of Stanford’s Human-Centered AI Institute, will present her research with students and collaborators to develop intelligent...

September 26, 2023

Stefan Wager, Stanford University – Treatment Effects in Market Equilibrium

4:15 pmFrank H. T. Rhodes Hall

Co-sponsored with Cornell’s Center for Data Science for Enterprise and Society and the ORIE Colloquium. ABSTRACT When randomized trials are run in a marketplace equilibriated by prices, interference arises. To analyze this, we build a...

August 30, 2023

UNIVERSITY LECTURE: Andrew Piper, McGill University – Computational Narrative Understanding and the Human Desire to Make-Believe

4:20 pmBill and Melinda Gates Hall

This University Lecture is co-sponsored with the IS Colloquium and the Center for Data Science for Enterprise and Society’s Data Science Distinguished Lecture Series. TITLE: Computational Narrative Understanding and the Human Desire to...

Center for Data Science for Enterprise and Society

Yuejie Chi – Electrical & Computer Engineering, Carnegie Mellon

Deanna Needell – Mathematics, UCLA

MESSENGER LECTURE SERIES: CYNTHIA DWORK

Thought Summit: LLMS and Society

Thought Summit: LLMS and Society

MESSENGER LECTURE SERIES: CYNTHIA DWORK

Deanna Needell – Mathematics, UCLA

Yuejie Chi – Electrical & Computer Engineering, Carnegie Mellon

Panos Toulis, Booth School of Business – University of Chicago

David Rand, MIT Sloan: Reducing the spread of misinformation and correcting inaccurate beliefs

CAM Colloquium & CDSES Distinguished Lecture – Johan Ugander, Management Science & Engineering, Stanford University

Adam Tauman Kalai: First-Person Fairness in Chatbots

CAM & ORIE Colloquium – Mengdi Wang, Center for Statistics and Machine Learning, Department of Electrical Engineering, Princeton University

Sendhil Mullainathan – Law, Economics, and Policy Seminar

Sendhil Mullainathan – CS and ORIE Colloquiums

MESSENGER LECTURER: Sendhil Mullainathan, MIT

Thought Summit on The Future of Survey Science: Sept. 2024

Thomas Magnanti, MIT to talk at D.R. Fulkerson Centennial Celebration

Fulkerson Centennial Celebration

2024 Econometric Society Interdisciplinary Frontiers (ESIF) conference on Economics and AI+ML

AI in Mobility Successes and Barriers – Oliver Wyman Forum

Is There a Mathematical Formula for Fairness

Bodhi Sen, Columbia University – Extending the Scope of Nonparametric Empirical Bayes

ECE Seminar: Maryam Fazel, University of Washington

Jelena Bradic – Exploring Robustness: Bridging Theory and Practice for Enhanced Discovery

Suvrit Sra – AI and optimization through a geometric lens

Stefanie Jegelka, MIT – Learning with Structure: Graphs, Geometry and Generalization

Algorithms, Race, and Redistricting: Can Computers Find Fairness? A talk by Moon Duchin, Tufts University – UNIVERSITY LECTURE

A systems view of fair elections – Moon Duchin, Tufts University

Bin Yu, UC Berkeley – Veridical Data Science Toward Trustworthy AI

George Staller Lecture: Jens Ludwig

“What We See and What We Value: AI With a Human Perspective,” Dr. Fei-Fei Li (Stanford University)

Stefan Wager, Stanford University – Treatment Effects in Market Equilibrium

UNIVERSITY LECTURE: Andrew Piper, McGill University – Computational Narrative Understanding and the Human Desire to Make-Believe

Cornell Research

Quick Links