BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Events - ECPv6.17.2//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Events
X-ORIGINAL-URL:https://events.ucsc.edu
X-WR-CALDESC:Events for Events
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20250309T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20251102T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20260308T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20261101T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20270314T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20271107T090000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260817T010000
DTEND;TZID=America/Los_Angeles:20260911T005959
DTSTAMP:20260820T192853Z
CREATED:20260820T192853Z
LAST-MODIFIED:20260820T192853Z
UID:10015350-1786928400-1789088399@events.ucsc.edu
SUMMARY:Graduate Preparation Program
DESCRIPTION:The Graduate Preparation Program (GPP) is a four-week intensive non-credit course offered in person on the main campus prior to the fall quarter\, which is open to all current and newly admitted international graduate students. It focuses on English for Academic Purposes (EAP)\, academic skills\, and cultural orientation. The program also provides a foundation for transitioning into the Teaching Assistant role. \nThe course offers guided support with: \n\nSeminar-style classroom discussion\nPresentation and oral communication skills\nInformation on U.S. classroom culture; roles and responsibilities of faculty\, Teaching Assistants\, and students\nCritical thinking: using evidence to support ideas\nResearch writing\, citation\, and avoiding plagiarism\nCollaborative and project-based learning\n\nA collaboration between the Graduate Division and Global Engagement\, the Graduate Preparation Program provides a strong foundation for the U.S. classroom environment and university system\, in addition to the opportunity to practice and master the language and academic skills needed for success. \nFor more information and to register\, please visit our webpage.
URL:https://events.ucsc.edu/event/graduate-preparation-program/
LOCATION:CA
CATEGORIES:Conference,Lectures & Presentations
ATTACH;FMTTYPE=image/png:https://events.ucsc.edu/wp-content/uploads/2026/08/ISSP-Grad-Prep-Program.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260907T010000
DTEND;TZID=America/Los_Angeles:20260908T005959
DTSTAMP:20260901T223547Z
CREATED:20260901T223547Z
LAST-MODIFIED:20260901T223547Z
UID:10015312-1788742800-1788829199@events.ucsc.edu
SUMMARY:ReView
DESCRIPTION:Mary Porter Sesnon Art Gallery\nAugust 13-September 19\, 2026 \nOpening celebration and Artist Talk\nSaturday\, August 15\, 2-4:30 p.m\nLight refreshments will be served. \nSummer Gallery Hours: Thursday-Saturday\, 1-5pm \nReView: UC Santa Cruz Arts Alumni Exhibition features Arts Division alumni from the Monterey and San Francisco Bay Areas. Curated by Valéria Miranda\, the Sesnon’s Director\, ReView includes a wide variety of media and techniques highlighting the diversity of contemporary practice of alumni who graduated from 1972 to 2025. The exhibition title alludes to the portfolio critique process and suggests ideas of reflection and reevaluation—whether revisiting past work\, rethinking materials\, or tracing how a practice evolves over time. \nThis exhibition celebrates the creative path of artists who began their journeys at UC Santa Cruz. United by shared roots yet defined by distinct paths\, the participating alumni reflect the lasting influence of the Arts Division programs. Their works speak to the spirit of inquiry\, experimentation\, and perseverance that has long shaped the university’s artistic community. \nReView presents an opportunity for the campus and larger community to see the professional practice of these artists who continue to build on the creative foundation that they received at UCSC and to inspire our current students\, offering visualization of their own future artistic journeys after graduation. \nReView offers a unique opportunity for returning alumni to celebrate their creative expressions while reconnecting with classmates and the university community. \nAdmission is free and open to the public.  \nMore Information
URL:https://events.ucsc.edu/event/review-3/
LOCATION:Mary Porter Sesnon Art Gallery\, Baskin Service Road\, Santa Cruz\, CA\, 95064
CATEGORIES:Exhibits
ATTACH;FMTTYPE=image/jpeg:https://events.ucsc.edu/wp-content/uploads/2026/08/Sesnon-Re-View-HERO-with-text.jpeg
GEO:36.9946557;-122.0606254
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Mary Porter Sesnon Art Gallery Baskin Service Road Santa Cruz CA 95064;X-APPLE-RADIUS=500;X-TITLE=Baskin Service Road:geo:-122.0606254,36.9946557
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260908T010000
DTEND;TZID=America/Los_Angeles:20260909T005959
DTSTAMP:20260901T223547Z
CREATED:20260901T223547Z
LAST-MODIFIED:20260901T223547Z
UID:10015313-1788829200-1788915599@events.ucsc.edu
SUMMARY:ReView
DESCRIPTION:Mary Porter Sesnon Art Gallery\nAugust 13-September 19\, 2026 \nOpening celebration and Artist Talk\nSaturday\, August 15\, 2-4:30 p.m\nLight refreshments will be served. \nSummer Gallery Hours: Thursday-Saturday\, 1-5pm \nReView: UC Santa Cruz Arts Alumni Exhibition features Arts Division alumni from the Monterey and San Francisco Bay Areas. Curated by Valéria Miranda\, the Sesnon’s Director\, ReView includes a wide variety of media and techniques highlighting the diversity of contemporary practice of alumni who graduated from 1972 to 2025. The exhibition title alludes to the portfolio critique process and suggests ideas of reflection and reevaluation—whether revisiting past work\, rethinking materials\, or tracing how a practice evolves over time. \nThis exhibition celebrates the creative path of artists who began their journeys at UC Santa Cruz. United by shared roots yet defined by distinct paths\, the participating alumni reflect the lasting influence of the Arts Division programs. Their works speak to the spirit of inquiry\, experimentation\, and perseverance that has long shaped the university’s artistic community. \nReView presents an opportunity for the campus and larger community to see the professional practice of these artists who continue to build on the creative foundation that they received at UCSC and to inspire our current students\, offering visualization of their own future artistic journeys after graduation. \nReView offers a unique opportunity for returning alumni to celebrate their creative expressions while reconnecting with classmates and the university community. \nAdmission is free and open to the public.  \nMore Information
URL:https://events.ucsc.edu/event/review-3/
LOCATION:Mary Porter Sesnon Art Gallery\, Baskin Service Road\, Santa Cruz\, CA\, 95064
CATEGORIES:Exhibits
ATTACH;FMTTYPE=image/jpeg:https://events.ucsc.edu/wp-content/uploads/2026/08/Sesnon-Re-View-HERO-with-text.jpeg
GEO:36.9946557;-122.0606254
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Mary Porter Sesnon Art Gallery Baskin Service Road Santa Cruz CA 95064;X-APPLE-RADIUS=500;X-TITLE=Baskin Service Road:geo:-122.0606254,36.9946557
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260908T083000
DTEND;TZID=America/Los_Angeles:20260908T103000
DTSTAMP:20260903T160842Z
CREATED:20260902T163942Z
LAST-MODIFIED:20260903T160842Z
UID:10016350-1788856200-1788863400@events.ucsc.edu
SUMMARY:Zhang\, X. (STAT) - Predictive Generalized Variational Inference for Spatial Gaussian Process Model
DESCRIPTION:Spatially dependent data are common in environmental and climate studies\, where Gaussian process models are used for prediction and uncertainty quantification. Learning their covariance structure involves both statistical and computational challenges. Likelihood-based inference may be sensitive to covariance misspecification\, while repeated evaluation of prediction-oriented criteria can be computationally demanding. To study these issues\, we develop a predictive generalized variational inference (GVI) framework that learns a variational distribution by balancing proper-scoring-rule losses for conditional predictions with prior-based regularization. We first develop a marginal formulation for full Gaussian process models by analytically integrating out the regression coefficients and total residual variance. This formulation reduces the optimization dimension and focuses the variational optimization on the Matérn covariance parameters\, with Student-(t) conditional predictive distributions arising from the marginalization. We then develop a scalable formulation based on unordered nearest-neighbor conditionals. These conditionals define the predictive loss directly\, without treating their product as a joint likelihood. Because the same marginalization is not available in this formulation\, the regression coefficients and variance parameter are retained in a joint variational block. We evaluate logarithmic-score and continuous ranked probability score objectives through simulations and an analysis of December 2025 temperatures from 1\,218 U.S. Historical Climatology Network stations. The simulations compare different variational formulations\, scoring rules\, and covariance summaries using out-of-sample predictive evaluation. The real-data analysis compares likelihood-based and predictive GVI methods through cross-validation. We also examine the computational scaling of the nearest-neighbor formulation and consider extensions based on random local covariance matrices for heterogeneous spatial dependence\, as well as extensions to nonlinear regression and stochastic computer model emulation with quantitative and categorical inputs. Overall\, this work studies the specification and evaluation of predictive objectives\, uncertainty propagation\, and computational approximation within a unified variational framework. \nEvent Host: Xiao Zhang\, Ph.D. Student\, Statistical Science  \nAdvisor: Bruno Sansó \nZoom: https://ucsc.zoom.us/j/95501212725?pwd=WcB4SnkvhfoUFCm0Z4wUHLGB9omS05.1 \nPasscode: 697077
URL:https://events.ucsc.edu/event/zhang-x-stat-predictive-generalized-variational-inference-for-spatial-gaussian-process-model/
LOCATION:
CATEGORIES:Ph.D. Presentations
ATTACH;FMTTYPE=image/jpeg:https://events.ucsc.edu/wp-content/uploads/2026/04/ph.d.-presentation-graphic-option-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260908T100000
DTEND;TZID=America/Los_Angeles:20260908T110000
DTSTAMP:20260608T203806Z
CREATED:20260608T203806Z
LAST-MODIFIED:20260608T203806Z
UID:10014902-1788861600-1788865200@events.ucsc.edu
SUMMARY:Volunteer at the UCSC Arboretum
DESCRIPTION:Volunteer Information Sessions at the Arboretum \nDo you love gardens and gardening? The UCSC Arboretum & Botanic Garden has a wonderful community of staff\, students\, and volunteers\, ready to welcome you. Opportunities include staffing our gift shop & retail nursery and working to care for our gardens and greenhouses.  \nTo learn more\, join us at one of our monthly information sessions. They go for about 45 minutes and include an easy walk through the gardens.  \nTo attend\, please fill out our simple volunteer interest form at the bottom of our volunteer webpage found here: https://arboretum.ucsc.edu/get-involved/become-a-volunteer/ \nIf you need a different day and/or have mobility issues please let us know in the “Notes” section of the Interest Form. \nThank You!
URL:https://events.ucsc.edu/event/volunteer-at-the-ucsc-arboretum/2026-09-08/
LOCATION:Arboretum\, 122 Arboretum Road\, Santa Cruz\, CA\, 95064
CATEGORIES:Volunteer
ATTACH;FMTTYPE=image/png:https://events.ucsc.edu/wp-content/uploads/2026/06/JN-Volunteer-with-the-UCSC-Arboretum-2.png
GEO:36.9838652;-122.0609079
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Arboretum 122 Arboretum Road Santa Cruz CA 95064;X-APPLE-RADIUS=500;X-TITLE=122 Arboretum Road:geo:-122.0609079,36.9838652
END:VEVENT
END:VCALENDAR