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This talk will focus on the arc from using longitudinal clinical data to generate real-world evidence, through predictive and generative AI, to agentic systems capable of acting across electronic health records, payer portals, and other operational infrastructure. |
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Cornell Unplugged is a week-long campus wide initiative hosted by the Sustainable Computing Workgroup that encourages students, faculty and staff to reflect on how much time they spend connected to technology. |
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Aliya Bhatia is a Senior Policy Analyst at the Center for Democracy and Technology (CDT), where she works with the Free Expression Project. |
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CALS Innovation Day 2026 highlights the people, partnerships, and investment pathways that turn research into impact. Join us for inspiring faculty stories, discussions with corporate and philanthropic leaders, and showcases of emerging discoveries and ventures that demonstrate how CALS faculty advances commercialization, strengthens industry engagement, and supports faculty and student entrepreneurship. Hosted by the CALS Research and Innovation Office (RIO), this annual, college-wide event supports the CALS Roadmap to 2050 strategic objective to transcend conventional boundaries with college-wide, transdisciplinary research and innovation programming. |
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Cornell's AI & The Future of Work Summit will take place Thursday, September 17, 2026, from 9:00am – 11:45am in the Memorial Room of Willard Straight Hall. Hosted by the Cornell AI Initiative and University Career Development, the summit brings together employer partners, faculty, and campus AI leaders for a morning of dialogue on hiring and the world of work — and how Cornell is preparing students to thrive in an AI-ready workforce. With 170+ employers already on campus for Cornell Career Fair Days, it's a timely opportunity for faculty to hear directly from industry and to share how Cornell […] |
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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. |
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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 […]
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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. |
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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 […]
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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. |
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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. |
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Vyoma Raman is a PhD student in Information Science at Cornell Tech / Cornell University. |
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