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SUMMARY:Innovations in Health Care Virtual Conference
DESCRIPTION:💫 Transform Healthcare with Us! 🧬🏥 \n🌟 5-Day Virtual Summit 2025: “Innovation\, Ethics & the Next Frontier in Healthcare” 🌟 \n🗓️ Oct 20–24 | 9–11AM PST \n💻 100% FREE | Live Online \nMeet visionary leaders shaping the future of healthcare: \n✨ Prof. Henry Greely  \n✨ Dr. James Giordano \n✨ Lisa Berkley\, PhD \n✨ Alice Rathjen \n✨ Christine Von Raesfeld \n✨ Linda MacDonald Glenn\, JD\, LLM \n🤝 Co-hosted by Krzysztof “Kris” Laudanski\, President of @SHCI \nJoin the movement redefining innovation and ethics in modern medicine! 🌍💫 \nRegister at https://www.linkedin.com/company/theshci/posts/ \n💡 #HealthTechRevolution #EthicalInnovation #FutureOfHealthcare #MedTech2025 #SHCI \n🙌 Ready to be part of the change? Drop a comment below!
URL:https://events.ucsc.edu/event/innovations-in-health-care-virtual-conference/2025-10-20/1/
LOCATION:CA
CATEGORIES:Meetings & Conferences
ATTACH;FMTTYPE=image/jpeg:https://events.ucsc.edu/wp-content/uploads/2025/10/1760634997987.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251020T090000
DTEND;TZID=America/Los_Angeles:20251020T110000
DTSTAMP:20260427T075422
CREATED:20251017T152021Z
LAST-MODIFIED:20251017T152021Z
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SUMMARY:Innovations in Health Care Virtual Conference
DESCRIPTION:💫 Transform Healthcare with Us! 🧬🏥 \n🌟 5-Day Virtual Summit 2025: “Innovation\, Ethics & the Next Frontier in Healthcare” 🌟 \n🗓️ Oct 20–24 | 9–11AM PST \n💻 100% FREE | Live Online \nMeet visionary leaders shaping the future of healthcare: \n✨ Prof. Henry Greely  \n✨ Dr. James Giordano \n✨ Lisa Berkley\, PhD \n✨ Alice Rathjen \n✨ Christine Von Raesfeld \n✨ Linda MacDonald Glenn\, JD\, LLM \n🤝 Co-hosted by Krzysztof “Kris” Laudanski\, President of @SHCI \nJoin the movement redefining innovation and ethics in modern medicine! 🌍💫 \nRegister at https://www.linkedin.com/company/theshci/posts/ \n💡 #HealthTechRevolution #EthicalInnovation #FutureOfHealthcare #MedTech2025 #SHCI \n🙌 Ready to be part of the change? Drop a comment below!
URL:https://events.ucsc.edu/event/innovations-in-health-care-virtual-conference/2025-10-20/2/
LOCATION:CA
CATEGORIES:Meetings & Conferences
ATTACH;FMTTYPE=image/jpeg:https://events.ucsc.edu/wp-content/uploads/2025/10/1760634997987.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251021T090000
DTEND;TZID=America/Los_Angeles:20251021T110000
DTSTAMP:20260427T075422
CREATED:20251017T152021Z
LAST-MODIFIED:20251017T152021Z
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SUMMARY:Innovations in Health Care Virtual Conference
DESCRIPTION:💫 Transform Healthcare with Us! 🧬🏥 \n🌟 5-Day Virtual Summit 2025: “Innovation\, Ethics & the Next Frontier in Healthcare” 🌟 \n🗓️ Oct 20–24 | 9–11AM PST \n💻 100% FREE | Live Online \nMeet visionary leaders shaping the future of healthcare: \n✨ Prof. Henry Greely  \n✨ Dr. James Giordano \n✨ Lisa Berkley\, PhD \n✨ Alice Rathjen \n✨ Christine Von Raesfeld \n✨ Linda MacDonald Glenn\, JD\, LLM \n🤝 Co-hosted by Krzysztof “Kris” Laudanski\, President of @SHCI \nJoin the movement redefining innovation and ethics in modern medicine! 🌍💫 \nRegister at https://www.linkedin.com/company/theshci/posts/ \n💡 #HealthTechRevolution #EthicalInnovation #FutureOfHealthcare #MedTech2025 #SHCI \n🙌 Ready to be part of the change? Drop a comment below!
URL:https://events.ucsc.edu/event/innovations-in-health-care-virtual-conference/2025-10-21/
LOCATION:CA
CATEGORIES:Meetings & Conferences
ATTACH;FMTTYPE=image/jpeg:https://events.ucsc.edu/wp-content/uploads/2025/10/1760634997987.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251022T090000
DTEND;TZID=America/Los_Angeles:20251022T110000
DTSTAMP:20260427T075422
CREATED:20251017T152021Z
LAST-MODIFIED:20251017T152021Z
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SUMMARY:Innovations in Health Care Virtual Conference
DESCRIPTION:💫 Transform Healthcare with Us! 🧬🏥 \n🌟 5-Day Virtual Summit 2025: “Innovation\, Ethics & the Next Frontier in Healthcare” 🌟 \n🗓️ Oct 20–24 | 9–11AM PST \n💻 100% FREE | Live Online \nMeet visionary leaders shaping the future of healthcare: \n✨ Prof. Henry Greely  \n✨ Dr. James Giordano \n✨ Lisa Berkley\, PhD \n✨ Alice Rathjen \n✨ Christine Von Raesfeld \n✨ Linda MacDonald Glenn\, JD\, LLM \n🤝 Co-hosted by Krzysztof “Kris” Laudanski\, President of @SHCI \nJoin the movement redefining innovation and ethics in modern medicine! 🌍💫 \nRegister at https://www.linkedin.com/company/theshci/posts/ \n💡 #HealthTechRevolution #EthicalInnovation #FutureOfHealthcare #MedTech2025 #SHCI \n🙌 Ready to be part of the change? Drop a comment below!
URL:https://events.ucsc.edu/event/innovations-in-health-care-virtual-conference/2025-10-22/
LOCATION:CA
CATEGORIES:Meetings & Conferences
ATTACH;FMTTYPE=image/jpeg:https://events.ucsc.edu/wp-content/uploads/2025/10/1760634997987.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251023T090000
DTEND;TZID=America/Los_Angeles:20251023T110000
DTSTAMP:20260427T075422
CREATED:20251017T152021Z
LAST-MODIFIED:20251017T152021Z
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SUMMARY:Innovations in Health Care Virtual Conference
DESCRIPTION:💫 Transform Healthcare with Us! 🧬🏥 \n🌟 5-Day Virtual Summit 2025: “Innovation\, Ethics & the Next Frontier in Healthcare” 🌟 \n🗓️ Oct 20–24 | 9–11AM PST \n💻 100% FREE | Live Online \nMeet visionary leaders shaping the future of healthcare: \n✨ Prof. Henry Greely  \n✨ Dr. James Giordano \n✨ Lisa Berkley\, PhD \n✨ Alice Rathjen \n✨ Christine Von Raesfeld \n✨ Linda MacDonald Glenn\, JD\, LLM \n🤝 Co-hosted by Krzysztof “Kris” Laudanski\, President of @SHCI \nJoin the movement redefining innovation and ethics in modern medicine! 🌍💫 \nRegister at https://www.linkedin.com/company/theshci/posts/ \n💡 #HealthTechRevolution #EthicalInnovation #FutureOfHealthcare #MedTech2025 #SHCI \n🙌 Ready to be part of the change? Drop a comment below!
URL:https://events.ucsc.edu/event/innovations-in-health-care-virtual-conference/2025-10-23/
LOCATION:CA
CATEGORIES:Meetings & Conferences
ATTACH;FMTTYPE=image/jpeg:https://events.ucsc.edu/wp-content/uploads/2025/10/1760634997987.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251023T134000
DTEND;TZID=America/Los_Angeles:20251023T150000
DTSTAMP:20260427T075422
CREATED:20251022T204629Z
LAST-MODIFIED:20251105T190727Z
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SUMMARY:Behavioral\, Econometrics and Theory Seminar Series Presents: Kevin Chen
DESCRIPTION:Economics Behavioral\, Econometrics\, & Theory Seminar\nDate: Thursday\, October 23\, 2025\nTime: 1:40-3:00 p.m.\nLocation: Engineering 2\, Rm 499\n\n \n\nSpeaker: Kevin Chen \nTitle:  Assistant Professor of Economics \nAffiliation: Stanford University\nHost: Michael Leung\n \nSeminar title: Compound Selection Decisions: An Almost SURE Approach \n \nABSTRACT:  This paper proposes methods for producing compound selection decisions in a Gaussian sequence model. Given unknown\, fixed parameters µ_{1:n} and known σ_{1:n} with observations Yᵢ ∼ 𝒩(μᵢ\, σᵢ²)\, the aim is to select a subset of units S to maximize utility Σ_{i∈S}(μᵢ − Kᵢ) for known costs Kᵢ. Inspired by Stein’s unbiased risk estimate (SURE)\, we introduce an almost unbiased estimator\, ASSURE\, for the expected utility of a proposed decision rule. ASSURE allows a user to choose a welfare-maximizing rule from a pre-specified class by optimizing the estimated welfare\, thereby producing selection decisions that borrow strength across noisy estimates. We show that ASSURE yields decision rules that are asymptotically no worse than the optimal but infeasible rule in the pre-specified class. We apply ASSURE to p-value decision procedures in A/B testing\, selecting Census tracts for economic opportunity\, and identifying discriminating firms.
URL:https://events.ucsc.edu/event/behavioral-econometrics-and-theory-seminar-series-presents-kevin-chen/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Seminars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251024T090000
DTEND;TZID=America/Los_Angeles:20251024T110000
DTSTAMP:20260427T075422
CREATED:20251017T152021Z
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SUMMARY:Innovations in Health Care Virtual Conference
DESCRIPTION:💫 Transform Healthcare with Us! 🧬🏥 \n🌟 5-Day Virtual Summit 2025: “Innovation\, Ethics & the Next Frontier in Healthcare” 🌟 \n🗓️ Oct 20–24 | 9–11AM PST \n💻 100% FREE | Live Online \nMeet visionary leaders shaping the future of healthcare: \n✨ Prof. Henry Greely  \n✨ Dr. James Giordano \n✨ Lisa Berkley\, PhD \n✨ Alice Rathjen \n✨ Christine Von Raesfeld \n✨ Linda MacDonald Glenn\, JD\, LLM \n🤝 Co-hosted by Krzysztof “Kris” Laudanski\, President of @SHCI \nJoin the movement redefining innovation and ethics in modern medicine! 🌍💫 \nRegister at https://www.linkedin.com/company/theshci/posts/ \n💡 #HealthTechRevolution #EthicalInnovation #FutureOfHealthcare #MedTech2025 #SHCI \n🙌 Ready to be part of the change? Drop a comment below!
URL:https://events.ucsc.edu/event/innovations-in-health-care-virtual-conference/2025-10-24/
LOCATION:CA
CATEGORIES:Meetings & Conferences
ATTACH;FMTTYPE=image/jpeg:https://events.ucsc.edu/wp-content/uploads/2025/10/1760634997987.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251027T160000
DTEND;TZID=America/Los_Angeles:20251027T170000
DTSTAMP:20260427T075422
CREATED:20251002T215037Z
LAST-MODIFIED:20251023T214046Z
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SUMMARY:Statistics Seminar: Sampling Depth Trade-Off in Function Estimation Under a Two-Level Design
DESCRIPTION:Presenter: Akira Horiguchi\, Visiting Assistant Professor\, University of California\, Davis \nDescription: Many modern statistical applications involve a two-level sampling scheme that first samples subjects from a population and then samples observations on each subject. These schemes often are designed to learn both the population-level functional structures shared by the subjects and the functional characteristics specific to individual subjects. Common wisdom suggests that learning population-level structures benefits from sampling more subjects whereas learning subject-specific structures benefits from deeper sampling within each subject. Oftentimes these two objectives compete for limited sampling resources\, which raises the question of how to optimally sample at the two levels. We quantify such sampling-depth trade-offs by establishing the L_2 minimax risk rates for learning the population-level and subject-specific structures under a hierarchical Gaussian process model framework where we consider a Bayesian and a frequentist perspective on the unknown population-level structure. These rates provide general lessons for designing two-level sampling schemes given a fixed sampling budget. Interestingly\, they show that subject-specific learning occasionally benefits more by sampling more subjects than by deeper within-subject sampling. We show that the corresponding minimax rates can be readily achieved in practice through simple adaptive estimators without assuming prior knowledge on the underlying variability at the two sampling levels. We validate our theory and illustrate the sampling trade-off in practice through both simulation experiments and two real datasets. While we carry out all the theoretical analysis in the context of Gaussian process models for analytical tractability\, the results provide insights on effective two-level sampling designs more broadly. \nBio: Akira Horiguchi is a Visiting Assistant Professor in the Department of Statistics at the University of California\, Davis. He was a Postdoctoral Associate in the Department of Statistical Science at Duke University\, advised by Professors Li Ma and Cliburn Chan. He completed his Ph.D. in Statistics at The Ohio State University\, advised by Professors Matthew T. Pratola and Thomas J. Santner. His research interests include improving nonparametric inference for flow cytometry data\, developing sensitivity analysis tools for regression trees\, and developing tree-based methods for tensor regression. \nHosted by: Professor Paul Parker
URL:https://events.ucsc.edu/event/statistics-seminar-sampling-depth-trade-off-in-function-estimation-under-a-two-level-design/
LOCATION:CA
CATEGORIES:Lectures & Presentations
ATTACH;FMTTYPE=image/png:https://events.ucsc.edu/wp-content/uploads/2025/10/Akira-Horiguchi.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251028T110000
DTEND;TZID=America/Los_Angeles:20251028T121500
DTSTAMP:20260427T075422
CREATED:20251020T202827Z
LAST-MODIFIED:20251022T182819Z
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SUMMARY:CSE Colloquium: A Journey from Programming Systems Research to AI Agents
DESCRIPTION:Speaker: Koushik Sen\, UC Berkeley and Google DeepMind \nAbstract: Coding has emerged as an important application area for large language models (LLMs)\, with a proliferation of code-specific models and their applications across various domains and tasks such as program repair\, performance optimization\, debugging\, test generation\, documentation\, and security hardening. In this talk\, I will describe how we built powerful coding agents such as R2E-Gym and DeepSWE using test-driven methodology for solving various kinds of coding tasks\, such as repair\, optimization\, security vulnerability detection\, and refactoring.  I will also discuss a novel technique\, called GEPA\, for domain-specific optimization of AI agent systems\, which has shown a significant advantage over reinforcement learning. \nBio: Koushik Sen is a professor in the Department of Electrical Engineering and Computer Sciences at the University of California\, Berkeley. His research interest lies in Software Engineering\, Programming Languages\, and AI. He is interested in developing software tools and methodologies that improve programmer productivity and software quality. He is known for his work on “DART: Directed Automated Random Testing\,” concolic testing\, and LiveCodeBench. He has received a NSF CAREER Award in 2008\, a Haifa Verification Conference (HVC) Award in 2009\, a IFIP TC2 Manfred Paul Award for Excellence in Software: Theory and Practice in 2010\, a Sloan Foundation Fellowship in 2011\, a Professor R. Narasimhan Lecture Award in 2014\, an Okawa Foundation Research Grant in 2015\, and an ACM SIGSOFT Impact Paper Award in 2019. He has won several ACM SIGSOFT Distinguished Paper Awards. He received the C.L. and Jane W-S. Liu Award in 2004\, the C. W. Gear Outstanding Graduate Award in 2005\, and the David J. Kuck Outstanding Ph.D. Thesis Award in 2007\, and a Distinguished Alumni Educator Award in 2014 from the UIUC Department of Computer Science. He holds a B.Tech from the Indian Institute of Technology\, Kanpur\, and an M.S. and Ph.D. in CS from the University of Illinois at Urbana-Champaign. \n\nHosted by: Professor Mohsen Lesani \nLocation: Engineering 2\, E2-180 (Refreshments such as coffee and pastries will be provided.) \nZoom: https://ucsc.zoom.us/j/93445911992?pwd=YkJ2TQtF79h0PcNXbEcpZLbpK0coiY.1&jst=3
URL:https://events.ucsc.edu/event/cse-colloquium-a-journey-from-programming-systems-research-to-ai-agents/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251028T134000
DTEND;TZID=America/Los_Angeles:20251028T150000
DTSTAMP:20260427T075422
CREATED:20251022T210813Z
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SUMMARY:Macroeconomics & International Finance Seminar Series Presents: Zhiguo He
DESCRIPTION:Macroeconomics and International Finance Seminar\nDate: Tuesday\, October 28\, 2025\nTime: 1:40-3:00 p.m.\nLocation: E2-499\n\n \n\nSpeaker: Zhiguo He\nTitle: James Irvin Miller Professor of Finance\nAffiliation: Stanford University \nHost: Michael Leung \n \nSeminar title: Household Migration and Collateral Constraint: Cash-based Housing Resettlement in China\n \nABSTRACT:   Collateral constraints reduce household migration to expensive locations by restricting financing for home purchases. This endogenous location choice can amplify the impact of relaxing borrowing constraints. Using China’s cash-based shantytown renovation program (2015-2018) as a natural experiment\, we provide evidence that cash resettlement– by converting illiquid shanty houses into cash– facilitated household location upgrading and raised house prices in more expensive locations. A dynamic spatial model with collateral constraints confirms that endogenous location upgrading amplified the effect of cash transfer\, raising lifetime housing expenditures by nearly 50%\, and house price growth in low-tier cities by 9% in 2016-2020.
URL:https://events.ucsc.edu/event/macroeconomics-international-finance-seminar-series-presents-zhiguo-he/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Seminars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251028T190000
DTEND;TZID=America/Los_Angeles:20251028T210000
DTSTAMP:20260427T075422
CREATED:20251021T184033Z
LAST-MODIFIED:20251021T184033Z
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SUMMARY:Emeriti Faculty Lecture\, Fall 2025
DESCRIPTION:Kicking the Prow: Reflections on a Life in Conversation with Past and Present People and Other Creatures\nIn this lecture\, Distinguished Research Professor Diane Gifford-Gonzalez reflects on fifty-five years of zooarchaeology work\, studying animal remains from archaeological sites to explore how past people and their kin interacted. While varying in geographical and theoretical foci\, a common thread runs through what she believes are her most influential contributions to archaeology. Starting with a true story\, Professor Gifford-Gonzalez will outline how these have “kicked the prow” of wider conversations in archaeology and share a few of her creative works. \nRegister to attend in-person or virtual\nDoors open at 6:30 p.m. for guests attending in-person \nLecture: 7 p.m. \nFollowed by a reception for in-person guests \nFree and open to the public \n  \nPresented by the UC Santa Cruz Emeriti Association
URL:https://events.ucsc.edu/event/emeriti-faculty-lecture-fall-2025/
LOCATION:Music Center Recital Hall\, 400 McHenry Road\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251030T110000
DTEND;TZID=America/Los_Angeles:20251030T130000
DTSTAMP:20260427T075422
CREATED:20251003T013045Z
LAST-MODIFIED:20251014T203942Z
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SUMMARY:Bridging Practices: Deepening Collaboration in Community-engaged Research and IRB Process
DESCRIPTION:Building on last April’s Bridging Perspectives: Navigating Community-Engaged Research and IRB Requirements\, this Building Practices colloquium event continues the conversation between researchers\, administrators\, and the IRB with a focus on answering the pressing questions raised by our community. Together\, we will explore: \n\nInvolving undergraduates in community-engaged research\nNavigating IRB requirements in ways that respect cultural\, social\, and political environments\nMinimizing harm and risk when conducting research with vulnerable populations and community organizations\nEthical quandaries in community-engaged research that the IRB does not cover\n\nThrough dialogue and collective problem-solving\, this session seeks to move beyond identifying barriers toward developing clearer practices\, stronger collaborations\, and more practical strategies between researchers and the IRB for supporting ethical community-engaged research. \nRoundtable Moderators \n\nRegina Day Langhout\, Professor of Psychology\nSana Khoury-Shakour\, Director of the Office of Research Compliance Administration\nJessica Taft\, Professor of LALS and Director of the Dolores Huerta Research Center for the Americas\nLora Bartlett\, Associate Professor of Education and Department Chair\nSaskias Casanova\, Associate Professor of Psychology\nMargarita Azmitia\, Distinguished Professor of Psychology and IRB Chair\nHeather Bullock\, Director of the Center for Economic Justice and Action and Professor of Psychology\nNed LeBlond\, Managing Director for the Institute of Social Transformation and Campus + Community\nRebecca London\, Professor of Sociology and Faculty Director of Campus + Community\n\nRSVP\n  \nThis is a B.Y.O. lunch time colloquium event. Event sponsors will provide drinks and snacks. \nFor more information\, please visit the event website. \nSponsors: Campus + Community and the Office of Research
URL:https://events.ucsc.edu/event/bridging-practices/
LOCATION:Namaste Lounge\, 615 College Nine Road\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251030T134000
DTEND;TZID=America/Los_Angeles:20251030T150000
DTSTAMP:20260427T075422
CREATED:20251024T204207Z
LAST-MODIFIED:20251105T192322Z
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SUMMARY:Applied Microeconomics and Trade Seminar Series presents: Shanjun Li
DESCRIPTION:Applied Microeconomics and Trade Seminar\nDate: Thursday\, October 30th\, 2025\nTime: 1:40-3:00 p.m.\nLocation: E2-499\n\n \n\nSpeaker: Shanjun Li\nPersonal Webpage \nTitle: Steven and Roberta Denning Professor of Global Sustainability \nAffiliation: Stanford University \nHost: Peter Christensen \n \nSeminar title: Range Anxiety\n \nABSTRACT:   Range anxiety\, the fear of depleting battery before reaching a charging station\, is often cited as a major barrier to electric vehicle (EV) adoption\, yet there has been limited formal economic analysis to quantify its importance and understand the policy implications. We develop a continuous-time dynamic model of EV usage and charging decisions to quantify range anxiety as the utility loss from feasible yet unrealized trips due to perceived range constraints. Using high-frequency data of 188\,000 EV trips and 30\,000 charging events among 8\,000 EVs in Shanghai\, we recover model parameters governing consumer driving and charging decisions. The estimates imply that\, across EV models with varying driving ranges\, average range anxiety was about $1\,900 in 2021 but declined to $1\,200 in 2024\, driven by improvements in charging infrastructure and\, especially\, in creases in driving range. Policy simulations underscore the importance of coordinating investments in battery capacity and charging infrastructure to address range anxiety: relative to socially optimal levels\, Shanghai’s EV market has under-invested in driving range while over-investing in charging infrastructure.
URL:https://events.ucsc.edu/event/applied-microeconomics-and-trade-seminar-series-presents-shanjun-li/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Seminars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251105T110000
DTEND;TZID=America/Los_Angeles:20251105T121500
DTSTAMP:20260427T075422
CREATED:20251015T215159Z
LAST-MODIFIED:20251022T182643Z
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SUMMARY:CSE Colloquium: Mitigating Data Scarcity via Simulation by Roozbeh Mottaghi
DESCRIPTION:Presenter: Roozbeh Mottaghi\, University of Washington \nAbstract: Data has revolutionized progress across AI fields like natural language processing and computer vision. Yet\, in robotics\, data collection remains a significant challenge: robots must interact with complex\, dynamic environments\, making the process slow\, costly\, and difficult to scale. In this talk\, I will discuss how simulation is transforming the landscape of robotics research by addressing these data bottlenecks. I will introduce Habitat 3.0\, a 3D simulator designed for training and evaluating robotic agents in dynamic environments that include human interactions. Focusing on collaborative human-robot tasks\, I will present PARTNR\, a simulation benchmark designed to rigorously evaluate planning and reasoning in interactive settings. I will share key insights from this benchmark\, revealing both the impressive capabilities of current LLMs and the significant challenges they encounter when faced with the complexities of real-world environments. \nBio: Roozbeh Mottaghi is a Senior Research Scientist Manager at FAIR and an Affiliate Associate Professor in Paul G. Allen School of Computer Science and Engineering at the University of Washington. Prior to joining FAIR\, he was the Research Manager of the Perceptual Reasoning and Interaction Research (PRIOR) group at the Allen Institute for AI (AI2). He obtained his PhD in Computer Science in 2013 from the University of California\, Los Angeles. After PhD\, he joined the Computer Science Department at Stanford University as a post-doctoral researcher. His research mainly focuses on embodied AI\, reasoning via perception\, and learning via interaction\, and his work on large-scale Embodied AI received the Outstanding Paper Award at NeurIPS 2022. \n\n\n\n\n\n\nFaculty Host: Professor Mohsen Lesani \n\nLocation: Engineering 2\, E2-180\n\n*Refreshments such as coffee and pastries will be provided.\n\nZoom: https://ucsc.zoom.us/j/93445911992?pwd=YkJ2TQtF79h0PcNXbEcpZLbpK0coiY.1&jst=3
URL:https://events.ucsc.edu/event/cse-colloquium-mitigating-data-scarcity-via-simulation-by-roozbeh-mottaghi/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251106T134000
DTEND;TZID=America/Los_Angeles:20251106T150000
DTSTAMP:20260427T075422
CREATED:20251105T202234Z
LAST-MODIFIED:20251120T172052Z
UID:10005099-1762436400-1762441200@events.ucsc.edu
SUMMARY:Applied Microeconomics and Trade Seminar Series presents: Matt Pecenco
DESCRIPTION:Applied Microeconomics and Trade Seminar\nDate: Thursday\, November 6\, 2025\nTime: 1:40-3:00 p.m.\nLocation: E2-499\n\n \n\nSpeaker: Matt Pecenco\nTitle: Orlando Bravo Assistant Professor of Economics \nAffiliation: Brown University \nHost: Ariel Zucker \n \nSeminar title: Conviction\, Incarceration\, and Policy Effects in the Criminal Justice System\n \nABSTRACT:   The criminal justice system affects millions of Americans through criminal convictions and incarceration. In this paper\, we introduce a new method for credibly estimating the effects of both conviction and incarceration using randomly assigned judges as instruments for treatment. Misdemeanor convictions\, especially for defendants with a shorter criminal record\, cause an increase in the number of new offenses committed over the following five years. Incarceration on more serious felony charges\, in contrast\, reduces recidivism during the period of incapacitation\, but has no effect after release. Our method allows the researcher to isolate specific treatment effects of interest as well as estimate the effect of broader policies; we find that courts could reduce crime by dismissing marginal charges against defendants accused of misdemeanors\, with larger reductions among first-time defendants and those facing more serious charges.
URL:https://events.ucsc.edu/event/applied-microeconomics-and-trade-seminar-series-presents-matt-pecenco/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Seminars
ATTACH;FMTTYPE=image/jpeg:https://events.ucsc.edu/wp-content/uploads/2025/11/PecencoMatt.jpg
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251113T134000
DTEND;TZID=America/Los_Angeles:20251113T150000
DTSTAMP:20260427T075422
CREATED:20251105T211520Z
LAST-MODIFIED:20251120T172017Z
UID:10005100-1763041200-1763046000@events.ucsc.edu
SUMMARY:Applied Microeconomics and Trade Seminar Series presents: Giovanni Peri
DESCRIPTION:Applied Microeconomics and Trade Seminar\nDate: Thursday\, November 13\, 2025\nTime: 1:40-3:00 p.m.\nLocation: E2-499\n\n \n\nSpeaker: Giovanni Peri\nTitle: C. Bryan Cameron Distinguished Professor in International Economics \nAffiliation: UC Davis\nHost: Gueyon Kim\n \nSeminar title: How the1942 Japanese Exclusion Impacted U.S. Agriculture\n \nABSTRACT:  In the early 1940s\, Japanese American farmers and farm workers represented an important part of agriculture-specific human capital in the United States. In 1942 all those living in the “exclusion zone” along the WestCoastwereforcefully relocated to internment camps and most of them never returned to farming. Using county-level panel data from historical agricultural censuses and a triple-difference (DDD) estimation approach we find that\, by 1960\, counties in the exclusion zone experienced 12% lower cumulative growth in farm value for each percentage point loss of their 1940 share of Japanese farm workers\, relative to counties outside the exclusion zone. Farm revenues\, farm productivity\, adoption of high-value crops\, mechanization\, and farm wages were also correspondingly lower. Taken together\, these findings are consistent with Japanese farmers representing hard-to-replace human capital\, rather than replaceable labor\, in US agriculture.
URL:https://events.ucsc.edu/event/applied-microeconomics-and-trade-seminar-series-presents-giovanni-peri/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Seminars
ATTACH;FMTTYPE=image/jpeg:https://events.ucsc.edu/wp-content/uploads/2025/11/PeriGiovanni-1.jpg
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251118T134000
DTEND;TZID=America/Los_Angeles:20251118T150000
DTSTAMP:20260427T075422
CREATED:20251107T004436Z
LAST-MODIFIED:20251120T171912Z
UID:10005109-1763473200-1763478000@events.ucsc.edu
SUMMARY:Macroeconomics & International Finance Seminar Series Presents: Yuriy Gorodnichenko
DESCRIPTION:Macroeconomics and International Finance Seminar\nDate: Tuesday\, November 18\, 2025\nTime: 1:40-3:00 p.m.\nLocation: E2-499\n\n \n\nSpeaker: Yuriy Gorodnichenko\nTitle: Quantedge Presidential Professor of Economics\nAffiliation: UC Berkeley\nHost: Pascal Michaillat\n \nSeminar title:  How costly are business cycle volatility and inflation? A Vox Populi approach\n \nABSTRACT:  Using surveys of households across thirteen countries\, we study how much individuals would be willing to pay to eliminate business cycles. These direct estimates are much higher than traditional measures following Lucas (2003): on average\, households would be prepared to sacrifice around 5-6% of their lifetime consumption eliminate business cycle fluctuations. A similar result holds for inflation: to bring inflation to their desired rate\, individuals would be willing to sacrifice around 5% of their consumption. Willingness to pay to eliminate business cycles and inflation is generally higher for those whose consumption is more pro-cyclical\, those who are more uncertain about the economic outlook\, and those who live in countries with greater historical volatility. 
URL:https://events.ucsc.edu/event/macroeconomics-international-finance-seminar-series-presents-yuriy-gorodnichenko/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Seminars
ATTACH;FMTTYPE=image/jpeg:https://events.ucsc.edu/wp-content/uploads/2025/11/Yuriy-Gorodnichenko.jpg
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251125T134000
DTEND;TZID=America/Los_Angeles:20251125T150000
DTSTAMP:20260427T075422
CREATED:20251108T002503Z
LAST-MODIFIED:20251120T174503Z
UID:10005117-1764078000-1764082800@events.ucsc.edu
SUMMARY:Macroeconomics & International Finance Seminar Series Presents: Helen Popper
DESCRIPTION:Macroeconomics and International Finance Seminar\nDate: Tuesday\, November 25\, 2025\nTime: 1:40-3:00 p.m.\nLocation: E2-499\n\n \n\nSpeaker: Helen Popper\nTitle: Professor of Economics\nAffiliation: Santa Clara University \nHost: Galina Hale\n \nSeminar title:  Artificial Intelligence and Macroeconomic Dynamics: Growth\, Pricing\, and Distribution\n \nABSTRACT:  This paper builds a simple general equilibrium model in which an AI producer is a monopolist who both learns by doing and uses AI recursively as an input. These mechanisms link today’s scale to tomorrow’s costs\, so pricing is dynamic: the firm sets a price below the static monopoly benchmark to expand capacity and speed learning. Final goods are produced by monopolistic competitors with constant returns to scale each period. We first use Cobb–Douglas technologies to solve for a generalized balanced growth path that pins down the condition for stable\, nonexplosive growth. On this path\, AI output grows faster than final output\, the relative price of AI falls persistently\, real wages rise with overall output\, and the specialized–to–nonspecialized wage ratio is flat. We then analyze CES versions of both sectors and derive a closed form effective demand elasticity for AI that combines input substitution in production with final-goods market substitution across varieties. Finally\, simulations link adoption and distribution to elasticities\, and they allow us to explore the dynamics. When final-goods inputs are complements\, adoption is learning-first and capital-light before scaling; when they are substitutes\, adoption is scale-first and the two-phase pattern attenuates. On the distribution side\, the specialized–to–nonspecialized wage premium is lowest with complements and rises with substitutes. Greater substitutability in AI production amplifies these patterns without changing their sign.
URL:https://events.ucsc.edu/event/macroeconomics-international-finance-seminar-series-presents-helen-popper/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Seminars
ATTACH;FMTTYPE=image/jpeg:https://events.ucsc.edu/wp-content/uploads/2025/11/popperhelen.jpeg
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251203T115000
DTEND;TZID=America/Los_Angeles:20251203T131000
DTSTAMP:20260427T075422
CREATED:20251108T002424Z
LAST-MODIFIED:20251125T164318Z
UID:10005121-1764762600-1764767400@events.ucsc.edu
SUMMARY:Applied Microeconomics and Trade Seminar Series presents: Matt Weinberg
DESCRIPTION:Applied Microeconomics and Trade Seminar\nDate: Wednesday\, December 3\, 2025\nTime: 11:50am – 1:10 p.m.\nLocation: E2-499\n\n \n\nSpeaker: Matt Weinberg \nTitle: Professor of Economics \nAffiliation: Ohio State University\nHost: Jon Robinson\n \nSeminar title: Oligopsony and Collective Bargaining: Evidence from K-12 Teachers \n\nABSTRACT:  Employers facing limited labor market competition may suppress wages below socially optimal levels. Unions can counteract this wage suppression through collective bargaining\, though the may also push wages above the socially optimal level. To assess these forces\, we estimate a structural model of labor supply\, labor demand\, and Nashin-Nash bargaining over wages between teacher unions and school districts in Pennsylvania’s K-12 public school system from 2013 to 2020. Using the estimated parameters\, we compare negotiated equilibrium wages and employment to the pure oligopsony scenario and the social planner scenario. On average\, pure oligopsony reduces wages 16 percent below the social optimum\, while collective bargaining raises wages by 9 percent above the optimum. This average masks substantial district-level heterogeneity driven by variation in bargaining power. Twenty-seven percent of schools have negotiated salaries below the social optimum due to cross-district externalities\, where high salaries at one school lead to hiring reductions\, which increase labor supply in competing districts. 
URL:https://events.ucsc.edu/event/applied-microeconomics-and-trade-seminar-series-presents-matt-weinberg/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Seminars
GEO:37.0009723;-122.0632371
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251204T134000
DTEND;TZID=America/Los_Angeles:20251204T150000
DTSTAMP:20260427T075422
CREATED:20251108T001824Z
LAST-MODIFIED:20251120T170815Z
UID:10005120-1764855600-1764860400@events.ucsc.edu
SUMMARY:Behavioral\, Econometrics and Theory Seminar Series Presents: Jacopo Magnani
DESCRIPTION:Economics Behavioral\, Econometrics\, & Theory Seminar\nDate: Thursday\, December 4\, 2025\nTime: 1:40-3:00 p.m.\nLocation: E2-499\n\n \n\nSpeaker: Jacopo Magnani \nTitle:  Associate Professor of Economics \nAffiliation: Norwegian University of Science and Technology\, visiting Caltech\nHost: Kristian Lopez Vargas\n \nSeminar title: Behavioral Limits to Complete Markets\n \nABSTRACT:  Standard economic theory predicts that individuals should prefer complete markets to incomplete markets\, as the former allow state-contingent claims for every possible outcome. Yet real-world markets remain incomplete\, and the demand-side origins of the phenomenon are poorly understood. We develop an experimental framework to examine whether investors may themselves prefer incomplete markets\, and highlight two potential mechanisms: preference instability\, which exposes agents to greater regret or temptation in complete markets\, and complexity costs\, which arise because higher dimensionality increases cognitive effort and errors. In our experiment\, participants consistently reveal a preference for in complete markets\, contradicting the rational benchmark. Comparing homegrown and induced-preference treatments\, we find no evidence that this behavior is driven by preference instability. Instead\, utility losses\, response times\, and subjective ratings indicate that complexity costs drive the preference for incompleteness. Structural estimation confirms that complete markets are several times more complex than incomplete ones\, providing a behavioral foundation for market incompleteness. 
URL:https://events.ucsc.edu/event/behavioral-econometrics-and-theory-seminar-series-presents-jacopo-magnani/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Seminars
ATTACH;FMTTYPE=image/jpeg:https://events.ucsc.edu/wp-content/uploads/2025/11/jacopo.jpg
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251210T120000
DTEND;TZID=America/Los_Angeles:20251210T130000
DTSTAMP:20260427T075422
CREATED:20251001T194211Z
LAST-MODIFIED:20251001T194212Z
UID:10000263-1765368000-1765371600@events.ucsc.edu
SUMMARY:Research Lunch & Learn: Managing Conflicts of Interest and Commitment
DESCRIPTION:Join us for a discussion on Financial Conflicts of Interest (FCOI) and Conflicts of Commitment (COC) — what they are\, why they matter\, and how we manage them at UC Santa Cruz. This session will provide an overview of institutional processes for disclosing and reviewing potential conflicts\, clarify the key differences between FCOI and COC\, and explain how both are addressed in the context of federally funded research. Led by OR and APO experts\, the speakers will also explore the broader implications of unmanaged conflicts on research integrity\, public trust\, and institutional accountability. \n\n\n\nSpeakers: Bri Quinn\, Office of Research Compliance Administration; Karisa Breckenridge and Ibukun Bloom\, Academic Personnel Office \n\n\n\nAudience: UCSC researchers \n\n\n\nJoin Zoom Meeting: https://ucsc.zoom.us/j/96141024228?pwd=fQBahVYKaad3a3FbXk1zLzXXm3k8ab.1 \n\n\n\nMeeting ID: 961 4102 4228Passcode: 960402 \n\n\n\nOne tap mobile+16694449171\,\,96141024228#\,\,\,\,*960402# US+16699006833\,\,96141024228#\,\,\,\,*960402# US (San Jose)
URL:https://events.ucsc.edu/event/research-lunch-learn-managing-conflicts-of-interest-and-commitment/
LOCATION:https://ucsc.zoom.us/j/96141024228?pwd=fQBahVYKaad3a3FbXk1zLzXXm3k8ab.1
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260105T160000
DTEND;TZID=America/Los_Angeles:20260105T170000
DTSTAMP:20260427T075422
CREATED:20251217T182411Z
LAST-MODIFIED:20251218T002005Z
UID:10005858-1767628800-1767632400@events.ucsc.edu
SUMMARY:AM Seminar with Dr. Truong Vu
DESCRIPTION:Presenter: Dr. Truong Vu\, IPAM and MSU \nDescription: We present a framework for the gradient flow of sharp-interface surface energies that couple to embedded curvature active agents. We use a penalty method to develop families of locally incompressible gradient flows that couple interface stretching or compression to local flux of interfacial mass. We establish the convergence of the penalty method to an incompressible flow both formally for a broad family of surface energies and rigorously for a more narrow class of surface energies. \nBio: Dr. Vu received a Ph.D. in Applied Mathematics from the Department of Mathematics\, Statistics\, and Computer Science at University of Illinois at Chicago. Dr. Vu is currently a Postdoctoral Fellow at the Institute for Pure and Applied Mathematics (UCLA) and a visiting faculty in the Department of Mathematics at Michigan State University. \nHosted by: Applied Mathematics 
URL:https://events.ucsc.edu/event/am-seminar/
LOCATION:CA
CATEGORIES:Lectures & Presentations,Seminars
ATTACH;FMTTYPE=image/jpeg:https://events.ucsc.edu/wp-content/uploads/2025/12/txvu.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260112T160000
DTEND;TZID=America/Los_Angeles:20260112T170000
DTSTAMP:20260427T075422
CREATED:20260112T164010Z
LAST-MODIFIED:20260112T164010Z
UID:10008343-1768233600-1768237200@events.ucsc.edu
SUMMARY:AM Seminar: Science in the Age of Foundation Models
DESCRIPTION:Presenter: Dr. Danielle Robinson\, AWS AI \nDescription: In this talk\, I will discuss the large impact of foundation models within the sciences with a particular focus on the importance of physical constraints and uncertainty quantification. First\, I will detail our novel ProbConserv framework for enforcing hard constraints within black-box deep learning models. ProbConserv provides uncertainty quantification\, and can be used to enforce conservation law constraints as well as other nonlinear constraints. Next\, I will discuss its extensions to ensembles of Neural Operators and out-of-distribution (OOD) estimations\, as well as how it can be used in constrained generative modeling of PDEs. I will then show applications of our work in computational fluid dynamics (CFD)\, including weather forecasting\, aerodynamics and chaotic systems. Lastly\, I will conclude with a forward-looking view of the next steps for designing a physics foundation model that can be applied across various types of flows\, geometries and boundary conditions\, and what is needed for such a model to be developed. \n\n\n\n\n\n\n\n\n\nBio: Danielle Maddix Robinson is a Senior Applied Scientist in the Machine Learning Forecasting Group within AWS AI. She graduated with her PhD in Computational and Mathematical Engineering from the Institute of Computational and Mathematical Engineering (ICME) at Stanford University. She was advised by Professor Margot Gerritsen and developed robust numerical methods to remove spurious temporal oscillations in the degenerate nonlinear Generalized Porous Medium Equation. She is passionate about the underlying numerical analysis\, linear algebra and optimization methods behind numerical PDEs and applying these techniques to deep learning. During her PhD\, she also did an internship at NVIDIA with Joe Eaton and Alex Fender\, and implemented an efficient and load-balanced sparse matrix vector multiplication (spmv) in cuSPARSE and nvGRAPH libraries. She is excited to be back at NVIDIA today. After graduating\, Danielle joined AWS in 2018\, and has been working on developing statistical and deep learning foundation models for time series forecasting including Chronos. Over the last several years\, she has been leading the research initiative on developing models for physics-constrained machine learning for scientific computing on the DeepEarth team. In particular\, she has researched how to apply ideas from numerical methods\, e.g.\, finite volume schemes\, to improve the accuracy of black-box ML models for PDEs with applications to ocean and climate models\, aerodynamics and chaotic systems. \n\n\n\nHosted by: Applied Mathematics\n\n\n\nLink: https://ucsc.zoom.us/j/96136632376?pwd=yb27lop8mnhnsairAPgezmVJZzFb74.1.
URL:https://events.ucsc.edu/event/am-seminar-science-in-the-age-of-foundation-models/
LOCATION: https://ucsc.zoom.us/j/96136632376?pwd=yb27lop8mnhnsairAPgezmVJZzFb74.1.
CATEGORIES:Lectures & Presentations,Seminars
ATTACH;FMTTYPE=image/jpeg:https://events.ucsc.edu/wp-content/uploads/2026/01/ph.d.-presentation-graphic-option-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260112T160000
DTEND;TZID=America/Los_Angeles:20260112T170000
DTSTAMP:20260427T075422
CREATED:20251219T164251Z
LAST-MODIFIED:20251219T164251Z
UID:10007701-1768233600-1768237200@events.ucsc.edu
SUMMARY:Kathleen Schmidt: Sequential Experimental Design for Materials Strength Model Calibration
DESCRIPTION:Presenter: Katie Schmidt\, UQ & Optimization Group Leader\, Lawrence Livermore National Laboratory \nDescription: Due to the time and expense associated with physical experiments\, there is significant interest in optimal selection of the conditions for future experiments. Selection based on reduction in parameter uncertainty provides a natural path forward. We consider this type of optimal sequential design in the context of Bayesian calibration of materials strength models with the strength model characterizing the evolving resistance of a material to permanent strain. This problem is particularly challenging because different types of experiments and associated diagnostics are employed across strain rate regimes. For lower-strain-rate experiments\, stress-strain curves can be measured directly. For higher-strain-rate experiments\, strength must be inferred (e.g.\, from the deformation of a cylinder of material in a Taylor cylinder experiment). We employ data fusion in our sequential design methodology to incorporate these multiple experimental modalities. \nLLNL-ABS-835231 This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344. \nBio: Katie Schmidt is the UQ & Optimization Group Leader at Lawrence Livermore National Laboratory. She joined LLNL in 2016 after earning a PhD in Applied Mathematics from North Carolina State University. During her time at the lab\, Katie has been involved in a variety of uncertainty quantification problems related to national security as well as outreach and education through LLNL’s Data Science Institute. Her research interests include mixed-effects models\, Bayesian inference\, sequential design\, and sensitivity analysis. \nHosted by: Statistics Department
URL:https://events.ucsc.edu/event/kathleen-schmidt-sequential-experimental-design-for-materials-strength-model-calibration/
LOCATION:CA
CATEGORIES:Lectures & Presentations,Seminars
ATTACH;FMTTYPE=image/jpeg:https://events.ucsc.edu/wp-content/uploads/2025/12/ph.d.-presentation-graphic-option-1-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260113T134000
DTEND;TZID=America/Los_Angeles:20260113T150000
DTSTAMP:20260427T075422
CREATED:20251211T224403Z
LAST-MODIFIED:20251219T220255Z
UID:10005826-1768311600-1768316400@events.ucsc.edu
SUMMARY:Macroeconomics & International Finance Seminar Series Presents: Dean Corbae
DESCRIPTION:Macroeconomics and International Finance Seminar\nDate: Tuesday\, January 13\, 2026\nTime: 1:40-3:00 p.m.\nLocation: E2-499\n\n \n\nSpeaker: Dean Corbae\nTitle: William Sellery Trukenbrod Chair in Finance\nAffiliation: University of Wisconsin – Madison\nHost: Grace Gu Steadmon\n \nSeminar title:  A Quantitative Model of Bank Merger Dynamics\n \n\nABSTRACT: \nWe develop a simple model of the bank merger process to study the rise in bank concentration following the deregulation of bank branching in the Riegle-Neal Act of 1994. Motivated by the data where currently 10 (dominant) banks have over 55 percent of the U.S. deposit market share while the remaining over 4000 (fringe) banks cover the rest\, we apply a dominant-fringe framework with a merger stage to model the rise in concentration following the change in regulation making interstate branching possible. First\, we study the effect of the merger wave on competition\, efficiency\, and stability of the banking industry. Then we use our model to understand the interaction between regulatory and monetary policy. Specifically\, how has the bank lending channel of monetary policy been affected by rising concentration; has it amplified or dampened the effectiveness of monetary policy? How might monetary policy itself contribute to mergers and rising concentration?
URL:https://events.ucsc.edu/event/macroeconomics-international-finance-seminar-series-presents-dean-corbae/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Seminars
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DTSTART;TZID=America/Los_Angeles:20260120T134000
DTEND;TZID=America/Los_Angeles:20260120T150000
DTSTAMP:20260427T075422
CREATED:20251211T224823Z
LAST-MODIFIED:20260108T184635Z
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SUMMARY:Behavioral\, Econometrics and Theory Seminar Series Presents: Roberto Corrao
DESCRIPTION:Economics Behavioral\, Econometrics\, & Theory Seminar\nDate: Tuesday\, January 20\, 2026\nTime: 1:40-3:00 p.m.\nLocation: E2-499\n\n \n\nSpeaker: Roberto Corrao\nTitle:  Assistant Professor of Economics \nAffiliation:  Stanford University\nHost: Gerelt Tserenjigmid\n \nSeminar title: Contractibility Design\n \nABSTRACT: \nWe introduce a model of incentive contracting in which the principal\, in addition to\nwriting contracts\, must engage in contractibility design: creating an evidence structure\nthat allows them to prove when the agent has breached the contract. Designing an\nevidence structure entails both (i) front-end costs borne ex ante\, such as those of\ndrafting contracts\, and (ii) back-end costs borne ex post\, such as those of generating\nevidence. We find that\, under even small front-end costs\, optimal contracts are coarse\,\nspecifying finitely many contingencies out of a continuum of possibilities. In contrast\,\nunder even large back-end costs\, optimal contracts are complete. Applied to the design\nof procurement contracts\, our results rationalize: (i) the discreteness of contracts\, (ii)\nthe presence of similarly vague contracts in low-stakes and high-stakes settings\, and\n(iii) the discontinuous adjustment of contracts to changes in the economic environment.
URL:https://events.ucsc.edu/event/behavioral-econometrics-and-theory-seminar-series-presents-roberto-corrao/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Seminars
GEO:37.0009723;-122.0632371
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260122T014000
DTEND;TZID=America/Los_Angeles:20260122T014000
DTSTAMP:20260427T075422
CREATED:20251211T230012Z
LAST-MODIFIED:20260108T184752Z
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SUMMARY:Applied Microeconomics and Trade Seminar Series Presents: Guo Xu
DESCRIPTION:Applied Microeconomics and Trade Seminar\nDate: Thursday\, January 22\, 2026\nTime: 1:40 – 3:00 p.m.\nLocation: E2-499\n\n \n\nSpeaker: Guo Xu\nTitle: Associate Professor of Economics \nAffiliation: University of California\, Berkeley  \nHost: Ajay Shenoy \n  \nSeminar title: Personnel is Policy: Delegation and Political Misalignment in the Rulemaking Process\n\nABSTRACT: We combine comprehensive data on the U.S. federal rulemaking process with individuallevel personnel and voter registration records to study the consequences of partisan misalignment between regulators and the president. We present three main results. First\, even important pieces of new regulation are frequently delegated to bureaucrats who are politically misaligned. Second\, rules that are overseen by misaligned regulators take systematically longer to complete\, are more verbose\, generate more negative feedback from the public\, and are more likely to be challenged in court. Third\, in assigning regulators to rules\, agency leaders often face a sharp tradeoff between political alignment and expertise. Agency frictions notwithstanding\, they tend to resolve this tradeoff in favor of expertise.
URL:https://events.ucsc.edu/event/applied-microeconomics-and-trade-seminar-series-presents-guo-xu/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Seminars
GEO:37.0009723;-122.0632371
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260126T120000
DTEND;TZID=America/Los_Angeles:20260126T130000
DTSTAMP:20260427T075422
CREATED:20260121T182735Z
LAST-MODIFIED:20260121T182735Z
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SUMMARY:Statistics Seminar: Boosting Biomedical Imaging Analysis via Distributed Functional Regression and Synthetic Surrogates
DESCRIPTION:Presenter: Guannan Wang\, Associate Professor\, The College of William & Mary \nDescription: Generative AI has emerged as a powerful tool for synthesizing biomedical images\, offering new solutions to challenges such as data scarcity\, privacy constraints\, and modality imbalance. However\, the reliable use of synthetic images in scientific analysis requires principled statistical frameworks that can assess fidelity and rigorously quantify uncertainty. In this talk\, I present a distributed functional data analysis approach for comparing original and AI- generated biomedical images through their mean and covariance structures. Using spline-based representations on complex imaging domains\, we construct simultaneous confidence regions\, enabling formal inference on original-synthetic differences and providing statistical safeguards for downstream analyses. Building on this foundation\, I demonstrate how synthetic images can\nbe safely incorporated into functional regression models to learn spatially varying covariate effects when key imaging modalities are partially observed. Applications to large-scale neuroimaging studies illustrate how integrating generative AI with rigorous statistical inference enhances the reliability\, interpretability\, and scientific value of modern biomedical imaging analyses. \nBio: Guannan Wang is a Diamond Term Distinguished Associate Professor in the Department of Mathematics at William & Mary. She received a Ph.D. in Statistics and an M.S. in Computer Science from the University of Georgia in 2015. Her research focuses on the statistical foundations of generative AI\, distributed and federated learning\, and spatial and functional data analysis\, with applications to neuroimaging\, public health\, and environmental and social sciences. She has published over 30 peer-reviewed articles in leading statistical journals\, including JASA\, JCGS\, Statistica Sinica\, Biometrics\, and JMLR\, and her work has been supported by the NIH\, NSF\, and the Simons Foundation. \nHosted by: Statistics Department \nZoom link: https://ucsc.zoom.us/j/92479478035?pwd=S6b9SNtCorApA04sISbDwWqaF3wyPZ.1
URL:https://events.ucsc.edu/event/statistics-seminar-boosting-biomedical-imaging-analysis-via-distributed-functional-regression-and-synthetic-surrogates/
LOCATION:https://ucsc.zoom.us/j/92479478035?pwd=S6b9SNtCorApA04sISbDwWqaF3wyPZ.1
CATEGORIES:Lectures & Presentations,Seminars
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260126T160000
DTEND;TZID=America/Los_Angeles:20260126T170000
DTSTAMP:20260427T075422
CREATED:20260120T184336Z
LAST-MODIFIED:20260120T184604Z
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SUMMARY:AM Seminar: Probing Forced Responses and Causality in Data-Driven Climate Emulators: Conceptual Limitations and the Role of Reduced-Order Models
DESCRIPTION:Presenter: Fabrizio Falasca\, New York University \nDescription: A central challenge in climate science and applied mathematics is developing data-driven models of multiscale systems that capture both stationary statistics and responses to external perturbations. Current neural climate emulators aim to resolve the atmosphere–ocean system in all its complexity but often struggle to reproduce forced responses\, limiting their use in causal studies such as Green’s function experiments. To explore the origin of these limitations\, we first examine a simplified dynamical system that retains key features of climate variability. We argue that the ability of emulators of multiscale systems to reproduce perturbed statistics depends critically on (i) the choice of an appropriate coarse-grained representation and (ii) careful parameterizations of unresolved processes. These insights highlight reduced-order models\, tailored to specific goals\, processes\, and scales\, as valid alternatives to general-purpose emulators. We next consider a real-world application\, developing a neural model to investigate the joint variability of the surface temperature field and radiative fluxes. The model infers a multiplicative noise process directly from data\, largely reproduces the system’s probability distribution\, and enables causal studies through forced responses. We discuss its limitations and outline directions for future work. These results expose key challenges in data-driven modeling of multiscale physical systems and underscore the value of coarse-grained\, stochastic approaches.Throughout\, we propose linear response theory as a rigorous framework for evaluating neural models beyond stationary statistics\, probing causal mechanisms\, and guiding model design. \nBio: Fabrizio Falasca is physicist working at the intersection of statistical physics\, applied mathematics and climate science. He acquired his master degree in Physics of Complex Systems in the University of Turin in Italy. He then moved to Atlanta to pursue a PhD in Climate Science under the supervision of Annalisa Bracco. In the last 5 years he has been working in the Courant Institute of Mathematical Science in the group of Laure Zanna. His work span response theory\, causal inference\, data-driven modeling\, and their applications to climate dynamics and change. \n\n\n\n\n\nHosted by: Applied Mathematics \nZoom Link: https://ucsc.zoom.us/j/97450297092?pwd=Bp4GIgR8dAuBeCd1Sz9vXo8unkYWQW.1
URL:https://events.ucsc.edu/event/am-seminar-probing-forced-responses-and-causality-in-data-driven-climate-emulators-conceptual-limitations-and-the-role-of-reduced-order-models/
LOCATION: https://ucsc.zoom.us/j/97450297092?pwd=Bp4GIgR8dAuBeCd1Sz9vXo8unkYWQW.1
CATEGORIES:Lectures & Presentations,Seminars
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260202T120000
DTEND;TZID=America/Los_Angeles:20260202T130000
DTSTAMP:20260427T075422
CREATED:20260122T191932Z
LAST-MODIFIED:20260128T171007Z
UID:10009093-1770033600-1770037200@events.ucsc.edu
SUMMARY:Statistics Seminar: Mathematical Foundations for Machine Learning from a Nonlinear Time Series Perspective
DESCRIPTION:Presenter: Jiaqi Li\, William H. Kruskal Instructor\, University of Chicago \nDescription:Modern machine learning (ML) algorithms achieve remarkable empirical success\, yet providing rigorous statistical guarantees remains a major challenge\, particularly in distributional theory and online inference methods. In this talk\, we will introduce a novel framework to provide mathematical foundations for ML by bringing powerful tools in nonlinear time series. First\, we focus on the stochastic gradient descent (SGD) with constant learning rates. By interpreting the SGD sequence as a nonlinear AR(1) process\, we can establish the geometric moment contraction (GMC) for SGD regardless of initializations. By this GMC property\, we can derive refined asymptotic theory of SGD and its averaging variant\, including general moment convergence\, quenched central limit theorems\, quenched invariance principles\, and sharp Berry- Esseen bounds. Then\, we extend this theoretical framework to SGD with dropout regularization\, a widely used but theoretically underexplored technique in deep learning. By establishing GMC under explicit learning-rate and dimensional scaling regimes\, we obtain asymptotic normality and invariance principles for dropout SGD and its averaged version. These results enable online inference\, for which we introduce a fully recursive estimator of the long-run covariance matrix appearing in the limiting distributions. The proposed online confidence intervals with asymptotically correct coverage can be generalized to many other ML algorithms. Overall\, viewing online learning algorithms as nonlinear time series provides a powerful toolkit for deriving statistical guarantees in modern ML\, with implications for high-dimensional stochastic optimization and real-time uncertainty quantification. \nBio:Jiaqi Li is a William H. Kruskal Instructor in the Department of Statistics at the University of Chicago. She obtained her PhD in Statistics from Washington University in St. Louis in 2024. Her research focuses on developing theoretical guarantees and statistical inference methods for machine learning algorithms. She also works on time series data\, especially in the high- dimensional settings with complex temporal and cross-sectional dependency structures. She also\ncollaborates with neuroscientists on applications in fMRI and EEG data. \nHosted by: Statistics Department \nZoom link: https://ucsc.zoom.us/j/96647674332?pwd=rCHfeGpKslaGS5iIPP5Jh29mQiMJID.1
URL:https://events.ucsc.edu/event/statistics-seminar-mathematical-foundations-for-machine-learning-from-a-nonlinear-time-series-perspective/
LOCATION:https://ucsc.zoom.us/j/96647674332?pwd=rCHfeGpKslaGS5iIPP5Jh29mQiMJID.1
CATEGORIES:Lectures & Presentations,Seminars
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