Audience: Prospective Students
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Chen, Q. (CSE) – New Approximation and Online Algorithms using Novel Combinatorial Structures
Most optimization problems face the challenge of computing an optimum solution requiring superpolynomial time. In particular, they are classified as NP-hard problems that have no polynomial-time algorithm to date. Instead, computer scientists turn to find an approximate solution and create numerous elegant algorithms. However, in the modern era, computational environments have changed drastically, and we…
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Johns, M. (CMPM) – Playing Together in a Co-Designed Future: Building Resilience Through Community-Centered Gameful Design
Complex societal problems (e.g. wicked problems) such as those brought on by climate change can be addressed through a combination of Research through Design (RtD), co-design, and Serious Games (SG) by inviting affected communities to take part in developing iterative, experimental solutions and exploring their potential impact. In the course of my research, I have…
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Nonviolence, Democracy and Climate Justice in Croatia with Laureate Katarina Kruhonja (Croatia)
This event is part of the 2026 Right Livelihood International Conference. This event is hosted by the Right Livelihood College in Zurich, Switzerland, as part of their Feminist Strategies for Change series.
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Women Workers, Economic Power and Environmental Justice in India with Laureate Reema Nanavaty (India)
This event is part of the 2026 Right Livelihood International Conference. This event is hosted by the Right Livelihood College in Zurich, Switzerland, as part of their Feminist Strategies for Change series.
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What is Mythos? Conversations on AI
What do we know about Mythos? Anthropic’s Claude Mythos, a next-generation, general-purpose AI model with 10 trillion parameters, is the most powerful AI developed to date. It is highly capable of advanced reasoning, coding, and autonomously identifying and exploiting complex software vulnerabilities, creating significant cybersecurity risks. Join us for Chat with Praveen Krishna, chair of our AI program,…
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Mirchandani, C. (BMEB) – Population and Evolutionary Genomics Across Ecological Scales
Sequencing technologies have transformed population and evolutionary genetics, making it possible to ask questions at scales that were intractable a decade ago. Realizing that potential depends on tailored computational approaches, and on the tools and infrastructure those approaches are built on. My dissertation works across this spectrum. Using an in vitro Drosophila cell culture system,…
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Zheng, Z. (STATS) – Semi-Supervised Statistical Learning for Oceanographic Data
Oceanographic data, generated by modern technologies that measure biological systems across time, space, and cell populations, are often rich, high-dimensional, and highly heterogeneous. Such data provide valuable opportunities to study subcellular organization, cellular heterogeneity, and dynamic biological processes in marine environments. However, because marine plankton systems remain relatively understudied and less well characterized than many…
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D.M.A. Student Recital—Maisha Lani
Graduate student Maisha Lani debuts new compositions composed over the course of two years in the D.M.A. Music Composition program at UC Santa Cruz. The pieces range in instrumentation and style: from a blues to a post-tonal work, consisting of vibraphone and stringed instruments, to afrobeat inspired compositions, to graphic scores and improvisation. Audiences are…
