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SUMMARY:Dry Farm Tomato Field Day
DESCRIPTION:Climate change models predict increasingly hot and dry conditions\, raising concerns about impacts on agricultural production and food security. Answering this challenge is organic dry farming\, a sustainable practice that allows growers to produce crops under arid conditions with little irrigation. \nResearchers from UC Santa Cruz and the University of Oregon are studying the environmental conditions and plant traits that support successful dry-farmed tomato production on 10 different varieties. Join us for a Field Day focused on research that aims to help small-scale organic farmers adapt to our changing climate. \nRSVP
URL:https://events.ucsc.edu/event/dry-farm-tomato-field-day-2026/
LOCATION:Hay Barn\, 94 Ranch View Road\, Santa Cruz\, CA\, 95064\, United States
CATEGORIES:Lectures & Presentations
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DTSTART;TZID=America/Los_Angeles:20260909T120000
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SUMMARY:Research Lunch & Learn: Effective award management
DESCRIPTION:Join the Research Financial Services and Extramural Funds Accounting leadership for a conversation about good internal controls and effective financial oversight of sponsored projects accounts. During this session\, we will discuss the tools and resources that are available to ensure that we are good stewards of the funds entrusted to us. We will review when prior approval may be required\, what rebudgeting means for our financial oversight\, and how these intersect with our financial system of record. \nJoin us on September 9\, 2026\, 12-1 p.m. \nJoin: Zoom link for this session.
URL:https://events.ucsc.edu/event/research-lunch-learn-effective-award-management/
LOCATION:https://events.ucsc.edu/event/research-lunch-learn-effective-award-management/
CATEGORIES:Training
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DTSTART;TZID=America/Los_Angeles:20260928T160000
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SUMMARY:Statistics Seminar: Vecchia Approximated Bayesian Heteroskedastic Gaussian Processes
DESCRIPTION:Presenter: Parul Patil\, Postdoctoral Researcher\, UC Santa Cruz \nDescription: Many computer simulations are stochastic and exhibit input dependent noise. In such situations\, heteroskedastic Gaussian processes (hetGPs) make ideal surrogates as they estimate a latent\, non-constant variance. However\, existing hetGP implementations are unable to deal with large simulation campaigns and use point-estimates for all unknown quantities\, including latent variances. This limits applicability to small experiments and undercuts uncertainty. We propose a Bayesian hetGP using elliptical slice sampling (ESS) for posterior variance integration\, and the Vecchia approximation to circumvent computational bottlenecks. We show good performance for our upgraded hetGP capability\, compared to alternatives\, on a benchmark example and a motivating corpus of more than 9-million lake temperature simulations. An open source implementation is provided as bhetGP on CRAN. \nAbout the speaker: Parul Patil is currently working as a post-doctoral researcher with Dr Paul Parker and Dr Sangwon Hyun at University of California\, Santa Cruz. She completed her PhD in May 2026 from Virginia Tech. She had previously completed B.Sc. and M.Sc. in Statistics in India. She works with large-scale data\, using statistical tools to model complex processes\, quantify uncertainty\, and uncover patterns. Her work lies at the intersection of statistics and machine learning with ecological applications\, focusing on scalable methods for analyzing high-dimensional and spatially structured data. \nThis seminar is hosted by Professor Yunyi Shen.
URL:https://events.ucsc.edu/event/statistics-seminar-vecchia-approximated-bayesian-heteroskedastic-gaussian-processes/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
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