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This Thought Summit brings together leading experts and thought leaders from academia, industry, and the entrepreneurial world to envision and help create the future of everyday AI and mental health. With wide-ranging expertise in clinical machine...
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,...
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...
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...
Title: Federated Reinforcement Learning: Statistical, Communication and Computation Trade-offs This talk co-sponsored with Electrical and Computer Engineering, Statistics and Data Science, and the Center for Data Science for Enterprise and...
A Forward Energy Market to Improve Reliability and Resiliency∗ Peter Cramton Max Planck Institute for Research on Collective Goods, Bonn Forward Market Design University of Maryland ABSTRACT We propose a forward...
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...
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...
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...
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,...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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,...
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...
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...
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...
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...
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...
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,...
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...
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...
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...
