Events

Cornell researchers return to New York City for Climate Week NYC 2026 from September 20-27, joining global leaders to advance bold, science-based solutions to pressing sustainability challenges.

The AI and Accessibility Summit is CATAI's annual conference on accessibility — spanning research, identity, and policy. The goal is to bring together voices from within Cornell University (faculty, staff, students, and alumni) and to build lasting connections with organizations in and around New York City. The 2026 edition takes place on September 22 and 23, 2026 and runs over two full days. Day 1 is fully in person and open to everyone who registers, with keynotes, talks, panel conversations, and hands-on demos. Day 2 is a smaller, invite-only day built around case study discussions, alongside a handful of talks — a chance to […]

Aishwarya Agrawal is an Assistant Professor in the Department of Computer Science and Operations Research at the University of Montreal. She is a Canada CIFAR AI Chair and a core academic member of Mila -- Quebec AI Institute, and spends one day a week as a Research Scientist at Google Research.

Learn how artificial intelligence is reshaping the American workforce at an upcoming briefing sponsored by Cornell University and the R Street Institute. Artificial intelligence is transforming how Americans work — automating routine tasks, creating new categories of jobs, and demanding new skills across nearly every sector of the economy. From manufacturing to farming to government agencies, AI adoption is accelerating faster than traditional training and educational systems are capable of preparing current and future workers. Understanding AI's impact — analyzed by researchers, employers, and policymakers nationwide — is essential to ensuring American workers can adapt to the jobs of the […]

This CAHRScast session will explore how AI is being used in talent acquisition and employee mobility, including emerging applications, decision points, and implications for organizations and employees.

The capabilities of AI has dramatically increased over the past year. This session will provide a space to discuss innovative ways researchers across departments are integrating AI into their statistical workflows, as well as a space to discuss concerns about the best ways to maintain the scientific rigor and reproducibility in the process.

Vyoma Raman is a PhD student in Information Science at Cornell Tech / Cornell University.

Amy Kuo Somchanhmavong is Associate Director of the David M. Einhorn Center for Community Engagement. She has initiated, directed, and coordinated co-curricular and curricular-based community-engaged learning programs such as the Public Service Scholars Program, Public Achievement, and the Person-Centered Care Advocacy Team (PCAT). As a practitioner of the field, Amy has worked in community engagement for 15+ years, serving as a bridge builder for faculty and staff members with community-based organizations as well as nonprofit, nongovernmental, and grassroots projects. Melina Ivanchikova is an Associate Director at the Center for Teaching Innovation, Cornell University. At the heart of Melina Ivanchikova's pedagogy is an […]

The AI boom has opened a widening gap between the power the grid can deliver and the power gigawatt-scale compute demands — and closing that gap without breaking the systems, water tables, and communities it depends on is the defining infrastructure challenge of the moment. Jakob Carnemark, Founder and CEO of Endeavour — a full-stack data center and infrastructure innovation company redefining the built environment for the age of AI, together with Beth Rattner, Endeavour’s Head of Impact and Sustainability and former Executive Director of The Biomimicry Institute — join us to talk through how Endeavour is approaching it.