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    "152333-21913557":
    {
        "datetime_modified":"20260918T140908",
        "datetime_start":"20260930T143000",
        "datetime_end":"20260930T153000",
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        "date_start":"2026-09-30",
        "date_end":"2026-09-30",
        "time_start":"14:30:00",
        "time_end":"15:30:00",
        "time_zone":"America\/Detroit",
        "event_title":"Graduate Opportunities in Computational and Data Science information session",
        "occurrence_title":"Graduate Opportunities in Computational and Data Science - NORTH CAMPUS session",
        "combined_title":"Graduate Opportunities in Computational and Data Science information session: Graduate Opportunities in Computational and Data Science - NORTH CAMPUS session",
        "event_subtitle":"",
        "event_type":"Presentation",
        "event_type_id":"16",
        "description":"The educational programs represented will be:\n\nPhD in Scientific Computing (MICDE)\nGraduate Certificate in Computational Discovery & Engineering (MICDE)\nGraduate Certificate in Computational Neuroscience (MICDE)\nGraduate Certificate in Data Science (MIDAS)\n\nThese add-on programs are open to U-M graduate students with an interest in scientific computing or data science.\u00a0We will also discuss funding, research, and community opportunities. \n\nRefreshments will be provided. \n\nIf you have any questions about these programs or about the information session, please reach out to MICDE (micde-contact@umich.edu) or MIDAS (midas-contact@umich.edu).\u00a0\n\nNOTE: You are welcome to attend either session. We will hold two sessions in different locations, but the content will be the same.",
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        "location_name":"3rd Floor, Johnson Rooms",
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        "tags":["Computation","Computational Medicine","Computational Modeling","Computational Science","Computational Social Science","Data Science","Engineering","Graduate","Graduate School","Graduate Students","Interdisciplinary","Micde","Michigan Engineering","Midas","Rackham","Research","Science","Scientific Computing","Sessions"],
        "website":"https:\/\/sessions.studentlife.umich.edu\/p\/track\/18017",
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                "group_id":"3286",
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    {
        "datetime_modified":"20260927T143952",
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        "event_title":"Learning Seminar in Algebraic Combinatorics",
        "occurrence_title":"",
        "combined_title":"Learning Seminar in Algebraic Combinatorics: Plane Partitions (Yucong Lei)",
        "event_subtitle":"Plane Partitions (Yucong Lei)",
        "event_type":"Workshop \/ Seminar",
        "event_type_id":"21",
        "description":"In this talk, I will introduce a class of combinatorial objects called plane partitions, which describe pilings of cubes n a corner. I will present various enumeration formulas for plane partitions, derived from non-intersecting path families, and illustrate their connections to Schur functions.",
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        "tags":["Mathematics"],
        "website":"https:\/\/gtbarkley.org\/seminars\/latticemodels26\/",
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                "group_name":"Learning Seminar in Algebraic Combinatorics - Department of Mathematics",
                "group_id":"4894",
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    {
        "datetime_modified":"20260928T123901",
        "datetime_start":"20260930T150000",
        "datetime_end":"20260930T160000",
        "has_end_time":1,
        "date_start":"2026-09-30",
        "date_end":"2026-09-30",
        "time_start":"15:00:00",
        "time_end":"16:00:00",
        "time_zone":"America\/Detroit",
        "event_title":"Student DGT: Convexity in a complex world",
        "occurrence_title":"",
        "combined_title":"Student DGT: Convexity in a complex world: David Cutler",
        "event_subtitle":"David Cutler",
        "event_type":"Workshop \/ Seminar",
        "event_type_id":"21",
        "description":"Complex geometry is a cornerstone of contemporary mathematics; convex geometry, by contrast, has remained fairly niche since its modern inception in the early 20th century. Nonetheless, the two subjects are related by numerous extremely deep correspondences. Even more bizarrely, these correspondences tend to end up being more \"useful\" on the complex side, suggesting that there is some \"structure\" on the complex side that is somehow more naturally analyzed through its convex counterpart. In this talk, we will sample some results from this fascinating history before discussing a \"convex\" approach to studying K\u00e4hler\u2013Einstein metrics.",
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                "guid":"152988-21914867@events.umich.edu",
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        "room":"1866",
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        "cost":"",
        "tags":["Geometry","Topology"],
        "website":"",
        "sponsors":[
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                "group_name":"Student Dynamics\/Geometry\/Topology Seminar - Department of Mathematics",
                "group_id":"4909",
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    {
        "datetime_modified":"20260922T115750",
        "datetime_start":"20260930T153000",
        "datetime_end":"20260930T165000",
        "has_end_time":1,
        "date_start":"2026-09-30",
        "date_end":"2026-09-30",
        "time_start":"15:30:00",
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        "time_zone":"America\/Detroit",
        "event_title":"Algebraic Geometry Seminar: Crepant resolutions via stacks",
        "occurrence_title":"",
        "combined_title":"Algebraic Geometry Seminar: Crepant resolutions via stacks: Jeremy Usatine, Florida State University",
        "event_subtitle":"Jeremy Usatine, Florida State University",
        "event_type":"Workshop \/ Seminar",
        "event_type_id":"21",
        "description":"Consider an invariant that behaves nicely for smooth varieties, such as Euler number, Betti numbers, or Hodge numbers. Suppose we want a version of this invariant for singular varieties that sees interesting information about the singularities. I will discuss how this naturally leads to the notion of crepant resolutions of singularities. However, crepant resolutions (by varieties) are rare in practice. I will discuss joint work with M. Satriano in which we show that crepant resolutions actually exist in broad generality, as long as one is willing to consider algebraic stacks. Specifically, any variety with log-terminal singularities admits a crepant resolution by a smooth algebraic stack. As one consequence, in joint work with J. Huang and M. Satriano, we obtain a cohomological interpretation for Batyrev's stringy Hodge numbers. This talk will not assume familiarity with stacks.",
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                "guid":"149657-21906898@events.umich.edu",
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        "room":"4096",
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        "tags":["Mathematics"],
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                "group_name":"Algebraic Geometry Seminar - Department of Mathematics",
                "group_id":"4880",
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        "datetime_start":"20260930T160000",
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        "has_end_time":1,
        "date_start":"2026-09-30",
        "date_end":"2026-09-30",
        "time_start":"16:00:00",
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        "time_zone":"America\/Detroit",
        "event_title":"CCMB\/DCMB Weekly Bioinformatics Seminar Series featuring Jianzhi Zhang, PhD (Professor, Ecology and Evolutionary Biology, U-M)",
        "occurrence_title":"",
        "combined_title":"CCMB\/DCMB Weekly Bioinformatics Seminar Series featuring Jianzhi Zhang, PhD (Professor, Ecology and Evolutionary Biology, U-M): \"Multi-environment fitness landscapes suggest effectively endless adaptation\"",
        "event_subtitle":"\"Multi-environment fitness landscapes suggest effectively endless adaptation\"",
        "event_type":"Workshop \/ Seminar",
        "event_type_id":"21",
        "description":"Jianzhi (George) Zhang is a Professor of Ecology and Evolutionary Biology interested in the relative roles of chance and necessity in evolution. He got his B. S. from Fudan University in Shanghai, China, and his Ph. D. in Genetics from Pennsylvania State University. He was a  Fogarty postdoctoral fellow at the National Institute of Allergy and Infectious Diseases before moving to the University of Michigan.\n\nAbstract\n\nAdaptive evolution proceeds through beneficial nucleotide substitutions in the genome, yet the number of such substitutions (N) required to reach a local or global fitness peak where no single mutation further increases fitness remains unknown. Here we estimate N by simulating adaptive walks on two large, complete, multi-environment adaptive landscapes inferred from massive empirical data using machine learning, with validation from smaller experimentally mapped landscapes. We find that N rises linearly with the number of variable sites (L) in the landscape, regardless of prior adaptation in another environment. Extrapolation suggests a minimal N of 10^5 for typical prokaryotes and 10^7 for mammals. By contrast, in highly rugged shuffled landscapes, N is markedly reduced, while fitness gains also shrink. The relatively smooth empirical landscapes therefore enable greater fitness gains while lengthening adaptive walks, rendering even local fitness peaks effectively unreachable before environments change. These results explain the persistence of fitness gains in long-term evolution experiments and the widespread occurrence of beneficial mutations across species. They suggest that populations continuously adapt while remaining far from fitness optima, challenging the long-held view that adaptation culminates at fitness peaks.",
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        "building_name":"Medical Science Unit I",
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        "tags":["Basic Science","Bioinformatics","Biology","Biosciences","Ecology","Genome"],
        "website":"https:\/\/medschool.umich.edu\/events\/ccmb-seminar-series\/ccmb-seminar-jianzhi-zhang-phd\/2026-09-30",
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