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        "date_start":"2026-02-19",
        "date_end":"2026-02-19",
        "time_start":"15:00:00",
        "time_end":"16:00:00",
        "time_zone":"America\/Detroit",
        "event_title":"IOE 899: Hanna Barton",
        "occurrence_title":"",
        "combined_title":"IOE 899: Hanna Barton: Beyond Accuracy: Designing and Implementing AI for Real Clinical Work",
        "event_subtitle":"Beyond Accuracy: Designing and Implementing AI for Real Clinical Work",
        "event_type":"Lecture \/ Discussion",
        "event_type_id":"13",
        "description":"AI promises to enhance clinical decision-making, improve efficiency, and support better outcomes, but realizing these benefits requires more than optimizing algorithmic performance. The impact of AI hinges on its alignment with the complexity of the clinical work it aims to support. This lecture synthesizes lessons learned from a series of applied AI projects spanning emergency care clinical decision support (CDS), patient placement, and patient-facing communication and introduces an AI-CDS toolkit for designing and deploying human-centered AI. Together, these examples underscore the need for thoughtful sociotechnical system design\u2014and for building health systems\u2019 capacities to evaluate, adapt, and implement AI in ways that remain accountable to both clinical realities and patient values.",
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        "tags":["Graduate","Graduate Students","Industrial And Operations Engineering","Michigan Engineering","899 Seminar Series"],
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    {
        "datetime_modified":"20260213T151659",
        "datetime_start":"20260219T153000",
        "datetime_end":"20260219T163000",
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        "event_title":"IES Energy Seminar Series - The Reactor Around the Corner: Understanding Advanced Nuclear Energy Futures",
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        "combined_title":"IES Energy Seminar Series - The Reactor Around the Corner: Understanding Advanced Nuclear Energy Futures: Denia Djokic, Nuclear Engineering & Radiological Sciences and Molly Kleinman, Ford School's Science, Technology, and Public Policy Program",
        "event_subtitle":"Denia Djokic, Nuclear Engineering & Radiological Sciences and Molly Kleinman, Ford School's Science, Technology, and Public Policy Program",
        "event_type":"Workshop \/ Seminar",
        "event_type_id":"21",
        "description":"Abstract:\nSmall modular reactors (SMRs) and advanced nuclear technologies are gaining attention as key solutions to climate change, energy insecurity, and the growing energy needs of data centers. However, the potential expansion of the global nuclear industry introduces\u2014and in some cases reinforces\u2014problems that technological solutions alone will not be able to fix. To help ensure that advanced nuclear energy serves the public interest rather than predominantly corporate and geopolitical actors, we must have robust governance frameworks in place before the widespread implementation of SMRs. \n\nThis presentation will highlight the findings of the recent Science, Technology, and Public Policy (STPP) program\u2019s Technology Assessment Project (TAP) report, \u201cThe Reactor Around the Corner: Understanding Advanced Nuclear Energy Futures.\u201d We will discuss our research approach, in which we use the analogical case study (ACS) method to examine historical and contemporary technology parallels. By analyzing past technologies similar in form, function, or impact, we can identify repeating social patterns and anticipate the social, environmental, ethical, equity, economic, and geopolitical implications of emerging technologies.\n\nOur analysis reveals that without robust governance frameworks, the widespread adoption of SMRs risks entrenching global disparities, privileging private interests over public good, overlooking local and Indigenous knowledge, intensifying environmental injustices, and failing to deliver on promises of local empowerment. We present policy recommendations for responsible governance of SMRs and the uranium supply chain to maximize benefits and minimize harms.\n\nThis interdisciplinary collaboration between the Ford School\u2019s Science, Technology, and Public Policy (STPP) program and the College of Engineering\u2019s Fastest Path to Zero Initiative (FPTZ) in the Department of Nuclear Engineering and Radiological Sciences demonstrates how policy and engineering expertise can be effectively integrated to address complex sociotechnical challenges.\n\nDenia Djoki\u0107 Biography:\nDenia Djoki\u0107 is an Assistant Research Scientist at the University of Michigan\u2019s Fastest Path to Zero Initiative in the Department of Nuclear Engineering and Radiological Sciences. Her research focuses on the social, political, equity, and environmental justice aspects of nuclear waste management, advanced nuclear energy technology, and energy systems more broadly. Dr. Djoki\u0107 holds a PhD in nuclear engineering from the University of California, Berkeley, where she was a U.S. Department of Energy Office of Civilian Radioactive Waste Management Graduate Student Fellow, and a BS in physics from Carnegie Mellon University.\n\nMolly Kleinman Biography:\nMolly Kleinman serves as the Managing Director of the Science, Technology, and Public Policy program at the University of Michigan\u2019s Ford School of Public Policy. In this role, she has co-authored reports on equitable community partnerships, generative AI, facial recognition, and vaccine hesitancy. Dr. Kleinman received her PhD in Higher Education Policy from the University of Michigan Center for the Study of Higher and Postsecondary Education, her MS in Information from the University of Michigan School of Information, and her BA in English from Bryn Mawr College.",
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        "tags":["Sustainability","Social Sciences","seminar","Science","Research","Nuclear Engineering and Radiological Sciences","North Campus","Naval Architecture and Marine Engineering","Michigan Engineering","Mechanical Engineering","Materials Science","Law","Interdisciplinary","Industrial and Operations Engineering","Free","Environment","Engineering","Energy","Electrical Engineering and Computer Science","Civil and Environmental Engineering","CAEN"],
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