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DTSTART;TZID=America/Los_Angeles:20260413T080000
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DTSTAMP:20260513T225945Z
CREATED:20260214T011406Z
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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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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260513T070000
DTEND;TZID=America/Los_Angeles:20260513T090000
DTSTAMP:20260511T173127Z
CREATED:20260421T181155Z
LAST-MODIFIED:20260511T173127Z
UID:10013950-1778655600-1778662800@events.ucsc.edu
SUMMARY:Ehrlich\, D. (CM) - Designing Open Microscopy Tools for Neuroscience Research
DESCRIPTION:Advances in microscopy have transformed our understanding of biological systems\,\nyet the high cost and limited accessibility of commercial imaging platforms continue to re-\nstrict their use in many research settings. This thesis presents the design and development of\nopen hardware microscopy tools for neuroscience research\, with a focus on integrating user-\ncentered design principles into the instrument development process. Two primary methods\nare introduced: augmenting existing microscopes with new imaging capabilities\, and the cre-\nation of modular microscopes that are designed for continuous\, long-term live-cell imaging.\nBoth platforms are built around open hardware principles\, prioritizing low cost\, modularity\, and\nadaptability to the practical needs of working researchers. Alongside the hardware contribu-\ntions\, this thesis presents user experience research methods for examining how neuroscience\nresearchers interact with novel microscopy technologies\, providing a methodological frame-\nwork for human-centered scientific instrument design. These contributions demonstrate that\npairing hardware development with user-centered design methodologies produces microscopy\ntools that are both technically capable and meaningfully accessible to both laboratories and\nindividuals studying neuroscience\, education\, and other fields. \n  \nEvent Host: Drew Ehrlich\, Ph.D. Candidate\, Computational Media  \nAdvisor: Sri Kurniawan \nZoom: https://ucsc.zoom.us/j/2491739056?pwd=UCt3MmZmL1hwdXcvVGNNaGRQM0lDQT09
URL:https://events.ucsc.edu/event/ehrlich-d-cm-designing-open-microscopy-tools-for-neuroscience-research/
LOCATION:
CATEGORIES:Ph.D. Presentations
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260513T120000
DTEND;TZID=America/Los_Angeles:20260513T130000
DTSTAMP:20260508T180004Z
CREATED:20260508T180004Z
LAST-MODIFIED:20260508T180004Z
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SUMMARY:Between Forest and City: Stable Isotope Evidence for Anthropogenic Impacts on the Dietary Ecology of the Vulnerable Wied’s Marmosets in Brazil
DESCRIPTION:Archaeology and Biological Anthropology Lunch Talk with Letícia Soto da Costa — May 13th at 12 noon in Rm 261\, Social Sciences 1. \nAbout the talk: Anthropogenic disturbance is a major driver of environmental change\, altering resource availability and the feeding ecology of primates\, particularly in rapidly changing tropical landscapes. The vulnerable Wied’s marmoset (Callithrix kuhlii)\, endemic to the Brazilian Atlantic Forest\, inhabits increasingly human-modified environments. However\, how these changes affect its feeding ecology remains understood. Here\, we used carbon (d13C) and nitrogen (d15N) stable isotope analyses to investigate the dietary ecology of free-ranging Wied’s marmoset populations across 14 municipalities representing a gradient of human-modified landscapes in southern Bahia\, Brazil. We analyzed hair samples from 107 individuals across 30 social groups\, alongside isotopic data from potential dietary resources. Our findings reveal that both d13C and d15N values were negatively associated with forest cover\, with individuals in less forested sites exhibiting higher isotopic values. While mixing models indicated that fruit and insects were the main dietary components\, although their relative contributions varied spatially. Populations in more forested sites showed higher fruit consumption\, whereas those in less forested areas relied more heavily on insects and potentially additional\, unaccounted food resources. We also found age-related differences in d13C values\, suggesting variation in resource use across life stages. These findings indicate that C. kuhlii exhibits dietary flexibility in response to human-modified landscapes and resource availability\, while highlighting the importance of forest cover in maintaining natural feeding patterns. \nAbout the presenter: Letícia Soto da Costa is a PhD student in Ecology and Conservation Biology at the Universidade Estadual de Santa Cruz (Bahia\, Brazil)\, under the supervision of Dr. Ricardo S. Bovendorp. Her research focuses on the impacts of anthropogenic pollutants on Wied’s Marmosets (Callithrix kuhlii) in the Brazilian Atlantic Forest of Bahia through heavy metal and stable isotope analysis. During AY 2025-26\, she has been a Visiting Researcher in the PEMA Lab under the mentorship of Prof. Vicky Oelze and funded by the Brazilian government as a CAPES Visiting PhD Scholar.
URL:https://events.ucsc.edu/event/between-forest-and-city-stable-isotope-evidence-for-anthropogenic-impacts-on-the-dietary-ecology-of-the-vulnerable-wieds-marmosets-in-brazil/
LOCATION:Social Sciences 1\, Social Sciences 1\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Ph.D. Presentations
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260513T150000
DTEND;TZID=America/Los_Angeles:20260513T170000
DTSTAMP:20260501T203636Z
CREATED:20260501T203636Z
LAST-MODIFIED:20260501T203636Z
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SUMMARY:Zheng\, K. (CSE) - Towards Generalist Embodied World Models: From Neuro-Symbolic Interaction to Self-Evolving 3D World Generation
DESCRIPTION:Artificial intelligence is moving beyond passive perception toward systems that can understand\, interact with\, and generate the world. This dissertation studies generalist embodied world models that connect language\, vision\, action\, and 3D scene representations. It explores how multimodal systems can ground human instructions in physical environments\, reason over long-horizon tasks\, generate coherent text-and-visual content\, and construct spatially consistent 3D worlds from limited observations. Across embodied reasoning\, multimodal generation\, and 3D world construction\, this dissertation develops methods that combine pretrained models with structured interfaces such as symbolic reasoning\, generative visual tokens\, spatial priors\, and iterative self-refinement. These approaches aim to improve generalization\, data efficiency\, interpretability\, and geometric consistency without relying solely on monolithic end-to-end training. Together\, the work argues for a broader view of embodied AI: intelligent systems should not only recognize or describe the world\, but also act within it\, imagine it\, and build reusable representations of it. \nEvent Host: Kaizhi Zheng\, Ph.D. Candidate\, Computer Science & Engineering  \nAdvisor: Xin Eric Wang \n  \nZoom: https://ucsc.zoom.us/j/91912825272?pwd=aps1YHcJKMaqmhtgl72f51K9EbxrHt.1 \nPasscode: 991132
URL:https://events.ucsc.edu/event/zheng-k-cse-towards-generalist-embodied-world-models-from-neuro-symbolic-interaction-to-self-evolving-3d-world-generation/
LOCATION:
CATEGORIES:Ph.D. Presentations
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