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SUMMARY:2026 Right Livelihood International Conference
DESCRIPTION:The Right Livelihood International Conference is a five-week global conference exploring how education can strengthen democracy\, collective intelligence\, and just futures. Bringing together Right Livelihood Laureates\, students\, faculty\, and community partners across continents\, the conference combines asynchronous learning with participatory dialogue and collaborative action. Rather than advocating specific outcomes\, the conference positions education as a democratic practice and the Right Livelihood College as a steward of dialogue\, student voice\, and long-term institutional learning. \nRegistration is free and open to the public. Sign up to receive conference updates\, session links\, and participation opportunities.
URL:https://events.ucsc.edu/event/2026-right-livelihood-international-conference/
LOCATION:
CATEGORIES:Film Screening,Lectures & Presentations,Meetings & Conferences,Ph.D. Presentations,Seminars,Social Gathering,Training,Undergraduate,Workshop
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DTSTART;TZID=America/Los_Angeles:20260422T100000
DTEND;TZID=America/Los_Angeles:20260422T220000
DTSTAMP:20260426T214639
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SUMMARY:Arts & Ecology Festival: Creative Resistance
DESCRIPTION:On Earth Day\, UC Santa Cruz launches the inaugural Arts & Ecology Festival: Creative Resistance\, a campus-wide gathering that refuses to treat climate change as a problem of carbon alone. Instead\, it brings together artists\, scientists\, students\, and community partners to engage the deeper conditions of the crisis\, and to open space for cultural\, political\, and imaginative transformations grounded in repair\, reciprocity\, and collective futures. \nTaking place at the Digital Arts Research Center (DARC)\, the festival unfolds as a full day of exhibitions\, film screenings\, performances\, workshops\, talks\, and public engagement. Developed through an open call that drew an overwhelming response across disciplines\, the program reflects a growing field of practitioners working across environmental research\, land-based knowledge\, climate resistance\, and practices of repair that move beyond dominant institutional and economic frameworks. Tacos Los Reyes food truck will be on site during the festival. \nThe UC Santa Cruz Arts & Ecology Festival is sponsored by UCSC Art Department\, OpenLab Collaborative Research Center\, and UC Climate Action Arts Network\, with support from the University of California\, Office of the President’s Multicampus Research Programs and Initiatives grant program.\n—\nADMISSION\n– Free and open to the public\n—\nFULL SCHEDULE OF EVENTS\nEarth Day Festival\nWed.\, April 22\, 10:00 a.m.–10:00 p.m.\nvarious locations throughout the Digital Arts Research Center (DARC)\nEarth Week Film Screenings\nMon.. April 20–Fri.\, April 24\, 10:00 a.m.–5:00 p.m.\nLight Lab Gallery at the Digital Arts Research Center (DARC)\nMore information here at the festival website.\n—\nPARKING\n– Parking by UCSC permit or ParkMobile.\n– Arts Lot #126 is the closest parking lot to the event.\n– Visitors with DMV placards or plates may park for free in DMV spaces\, Medical spaces\, or ParkMobile spaces without additional payment\, or in timed zones for longer than the posted time.\n– More information provided by UCSC Transportation & Parking Services (TAPS).\n—\nThis program is open to all members of the public consistent with state and federal law.
URL:https://events.ucsc.edu/event/arts-and-ecology-festival-2026/
LOCATION:Digital Arts Research Center\, 407 McHenry Rd\, Santa Cruz\, CA\, 95064
CATEGORIES:Conference,Exhibits,Film Screening,Lectures & Presentations,Meetings & Conferences,Performances,Reception,Screening,Social Gathering
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DTSTART;TZID=America/Los_Angeles:20260422T110000
DTEND;TZID=America/Los_Angeles:20260422T121500
DTSTAMP:20260426T214639
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SUMMARY:CSE Colloquium - Robust Machine Learning for Biomedical Data: Efficiency\, Reliability\, and Generalizability
DESCRIPTION:Presenter\nChenyu You\, Stony Brook University \nAbstract\nIn the rapidly growing area of machine learning\, there is profound promise in crafting intelligent\, data-driven methods for diverse real-world applications. Yet\, in safety-critical domains like healthcare\, some fundamental challenges remain: (1) The insufficiency of raw biomedical data emphasizes the need for data-efficient and robust learning approaches. (2) The imperative of safety and stability necessitates a cohesive framework that unifies learning with theoretical guarantees. (3) The inherent heterogeneity and distribution shifts in real-world clinical data call for robust and generalizable learning methods. To address these challenges\, there are several major directions I have explored: (i) (Robust) Machine Learning for Imperfect Medical Data: The development of machine learning models\, particularly in the context of label scarcity\, increasingly necessitates the collection of substantial annotated medical data. Moreover\, medical data often display a long-tailed class distribution\, which consequently results in notable imbalance issues. To this end\, there are several growing interests in training machine learning models jointly across imbalanced class distributions and limited annotations. I have developed novel\, efficient\, statistically consistent algorithms to improve empirical performance for biomedical image analysis. (ii) Learning with Theoretical Guarantees: As machine learning methods have become ubiquitous in clinical decision-making\, their reliability and interpretability have become important. This is particularly crucial in the field of biomedical image analysis\, where decision outcomes can have profound implications. I have developed novel machine learning algorithms that enable provably accurate anatomical modeling with theoretical guarantees. (iii) Generalize across Diverse Biomedical Data: The development of medical foundation models often requires massive and diverse biomedical data. To this end\, I have developed various foundation models for biomedical imaging data and explored novel applications of these models. I have also developed novel medical AI Agents that lead to the scalable and accurate predictive modeling\, particularly for distribution shift problems. \nSpeaker Bio\nChenyu You is an Assistant Professor in the Department of Applied Mathematics & Statistics and Department of Computer Science at Stony Brook University. He is also the core faculty member of the CVLab\, AI institute\, and affiliated with the Institute for Advanced Computational Science. His research focuses on both fundamental and applied problems in computer vision and machine learning\, often with a focus on generalization\, and making machine learning more reliable. Our applied research includes applications to healthcare\, biomedical imaging\, and cognitive neuroscience. He received his Ph.D. in 2024 from Yale University under the advisement of James S. Duncan\, his M.S. in 2019 from Stanford University under the advisement of Daniel Rubin\, and his B.S. in 2017 from Rensselaer Polytechnic Institute under the advisement of Ge Wang\, all in electrical engineering. He has also spent wonderful time at Facebook AI Research (FAIR)\, as well as Google Research. He serves on the Medical Image Computing and Computer-Assisted Intervention Society (MICCAI)\, and the SUNY AI Symposium Planning Committee\, and as associate editors for IEEE Transactions on Medical Imaging\, Medical Image Analysis\, IEEE Transactions on Neural Networks and Learning Systems\, Pattern Recognition\, and Transactions on Machine Learning Research. He has received AAAI’26 New Faculty Highlights\, CPAL’26 Rising Stars Award\, Tinker Research Grant Award\, Lambda Research Grant Award\, ICML’25 Oral Presentation Award\, EMBC’25 Top Paper Award\, MICCAI’25 NIH Registration Grant Award\, IEEE TMI’25 Distinguished Associate Editor Certificate of Excellence Award\, and Yale George P. O’Leary Graduate Fellowship\, and has been ranked as the World’s Top 2% most-cited scientists by Stanford University since 2024\, is a member of the Sigma Xi scientific research society\, and received the Excellence in Teaching Award for Spring and Fall 2025. For more information\, please check his website: https://chenyuyou.me/. \nHosted by: Professor Yuyin Zhou \nLocation: Engineering 2\, Room E2-180 (Refreshments such as fruit\, pastries\, coffee\, and tea will be provided.) \nZoom Option: https://ucsc.zoom.us/j/93445911992?pwd=YkJ2TQtF79h0PcNXbEcpZLbpK0coiY.1&jst=3
URL:https://events.ucsc.edu/event/cse-colloquium-robust-machine-learning-for-biomedical-data-efficiency-reliability-and-generalizability/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
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DTSTART;TZID=America/Los_Angeles:20260422T153000
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SUMMARY:Policing Belonging: The Politics of Immigration Enforcement
DESCRIPTION:The Legal Studies Program presents: Policing Belonging: The Politics of Immigration Enforcement. This year\, we will be hosting Professor Amada Armenta\, UCLA Director of Latino Policy and Politics Institute. In this talk\, Amada Armenta traces the policy and practice of immigration enforcement in the United States. Drawing on years of qualitative research with police officers\, bureaucrats\, and undocumented immigrants\, she examines how the politics of enforcement are enacted in everyday life—through discretionary decisions\, local collaborations\, and moral reasoning. Armenta shows how immigration enforcement generates moral tensions for those who carry it out and existential dilemmas for those forced to live within its reach\, revealing a system that exposes the uneven burdens of power and belonging. \n  \n2026 Distinguished Lecture (1) \n 
URL:https://events.ucsc.edu/event/policing-belonging-the-politics-of-immigration-enforcement/
LOCATION:Hay Barn\, 94 Ranch View Road\, Santa Cruz\, CA\, 95064\, United States
CATEGORIES:Lectures & Presentations,Undergraduate
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DTSTART;TZID=America/Los_Angeles:20260422T180000
DTEND;TZID=America/Los_Angeles:20260422T210000
DTSTAMP:20260426T214639
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SUMMARY:Women of Color Environmentalists panel 2026
DESCRIPTION:Join the UCSC People of Color Sustainability Collective for a panel that celebrates the efforts\, voices\, and visions of women of color environmentalists. These panelists have worked in various fields\, from irrigation systems\, marine research\, agroecology\, and more! \n\n\nCome learn about opportunities you can take part in as an undergrad\, graduate opportunities and programs\, and community-building. \n\n\n\n\nFor questions/accommodations\, email: pocsc@ucsc.edu \n\n\n\n\nRSVP in advance. \n\n\nYou Belong Here: The programs and services described here are open to all\, consistent with state and federal law\, as well as the University of California’s nondiscrimination policies. Every initiative—whether a student service\, faculty program\, or community event—is designed to be accessible\, inclusive\, and respectful of all identities. \nTo learn more\, please visit UC Nondiscrimination Statement or Nondiscrimination Policy for UC Publications.
URL:https://events.ucsc.edu/event/women-of-color-environmentalists-panel-2026/
LOCATION:Cultural Center – Merrill College\, 641 Merrill Rd\, Santa Cruz\, 95064\, United States
CATEGORIES:Lectures & Presentations,Meetings & Conferences
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