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        "event_title":"Vector-valued robust stochastic control with applications to finance",
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        "combined_title":"Vector-valued robust stochastic control with applications to finance: Igor Cialenco\/IIT",
        "event_subtitle":"Igor Cialenco\/IIT",
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        "description":"We study a dynamic stochastic control problem subject to Knightian uncertainty with multi-objective (vector-valued) criteria. Assuming the preferences across expected multi-loss vectors are represented by a given, yet general, preorder, we address the model uncertainty by adopting a robust or minimax perspective, minimizing expected loss across the worst-case model. In contrast to the scalar case, major challenges for multi-loss control problems include properly defining and interpreting the notions of supremum and infimum, and addressing the non-uniqueness of these suprema and infima. To deal with these, we employ the notion of an ideal point vector-valued supremum for the robust part of the problem, while we view the control part as a multi-objective (or vector) optimization problem. Using a set-valued framework, we derive both a weak and strong version of the dynamic programming principle (DPP) or Bellman equations by taking the value function as the collection of all worst expected losses across all feasible actions. The weak version of Bellman's principle is proved under minimal assumptions. To establish a stronger version of DPP, we introduce the rectangularity property with respect to a general preorder. We also further study a particular, but important, case of component-wise partial order of vectors, for which we additionally derive DPP under a different set-valued notion for the value function, the so-called upper image of the multi-objective problem. Finally, we provide illustrative examples motivated by financial problems.",
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        "event_title":"Foundations of Community Engagement",
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        "combined_title":"Foundations of Community Engagement: Part of Ginsberg's Learning in Community Series",
        "event_subtitle":"Part of Ginsberg's Learning in Community Series",
        "event_type":"Workshop \/ Seminar",
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        "description":"Foundations of Community Engagement is an interactive workshop that introduces principles and practices of equitable, ethical community engagement. Participants will develop a deeper understanding of what the term \u201ccommunity engagement\u201d means, as well as the many forms it might take - from research and course-based projects to philanthropy, activism, policy, and direct service. Across all these forms of engagement, participants will learn concepts and actions that promote equitable partnerships, center community-defined priorities, and disrupt entrenched power dynamics between universities and community members. Participants will also discuss real-world community engagement scenarios that ask them to apply what they\u2019ve learned in the workshop to various situations.\r\n\r\n**This workshop is an updated version of Ginsberg\u2019s long-standing Entering, Engaging, and Exiting (E3) session. If you\u2019ve attended that session in the past, you\u2019ll gain additional knowledge from this session.**\r\n\r\nRegister for a Session Here: https:\/\/sessions.studentlife.umich.edu\/track\/event\/16509",
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        "datetime_modified":"20250107T180611",
        "datetime_start":"20250122T163000",
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        "event_title":"Governing in time of crisis: Lessons from two big city mayors",
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        "combined_title":"Governing in time of crisis: Lessons from two big city mayors: Lori Lightfoot, Jenny Durkan, Barbara McQuade",
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        "description":"The COVID-19 pandemic and Black Lives Matter protests in the wake of the death of George Floyd rocked American cities in 2020. The mayors of Chicago and Seattle share their experiences and the more general lessons of governing during times of crisis.",
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        "tags":["Governance","Leadership","Urban Affairs"],
        "website":"http:\/\/www.fordschool.umich.edu\/",
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