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    2026 Right Livelihood International Conference

    Hybrid Event

    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 […]

  • Castello, J. (CSE) – Space Mission Simulation From the Outside In

    Engineering 2 Engineering 2 1156 High Street, Santa Cruz, CA
    Hybrid Event

    Robotic space missions often use discrete event simulation to reduce risk in operation. A simulation applies a set of planned activities to a model of mission resources, and the model’s […]

  • Pawl, E. (STAT) – Flexible and Scalable Mixtures of Experts for Oceanographic Flow Cytometry Data

    Engineering 2 Engineering 2 1156 High Street, Santa Cruz, CA
    Hybrid Event

    Flow cytometry is a valuable technique in microbial research used to measure the optical properties of single-celled organisms at high throughput. Oceanographers often deploy flow cytometers on research cruises in order to study the characteristics of phytosynthetic microbes—called phytoplankton—in regions and times with diverse environmental conditions. Because cytometers cannot distinguish between subpopulations, researchers typically cluster […]

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    Zheng, Z. (STATS) – Semi-Supervised Statistical Learning for Oceanographic Data

    Engineering 2 Engineering 2 1156 High Street, Santa Cruz, CA
    Hybrid Event

    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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    Wang, Q. (STAT) – Modern Statistical Methods for Modeling Spatial and Temporal Processes

    Jack Baskin Engineering Baskin Engineering 1156 High Street, Santa Cruz, CA
    Hybrid Event

    Modern scientific studies increasingly rely on complex datasets exhibiting spatial and temporal dependence, particularly in social, environmental, and climate applications. This dissertation develops statistical models and computational methods for analyzing such data, with an emphasis on capturing dependence structures, nonlinear dynamics, and uncertainty quantification. A spatial deep learning framework is developed to extend classical geostatistical […]