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        "date_end":"2026-03-11",
        "time_start":"13:20:00",
        "time_end":"13:50:00",
        "time_zone":"America\/Detroit",
        "event_title":"Eva Albalghiti, carillon",
        "occurrence_title":"",
        "combined_title":"Eva Albalghiti, carillon",
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        "description":"Eva Albalghiti performs on the Ann & Robert H. Lurie Carillon, an instrument of 60 bells with the lowest bell (bourdon) weighing 6 tons.\n\nThirty-minute recitals are performed on the Lurie Carillon every weekday that classes are in session. During these recitals, visitors may take the elevator to level 2 to view the largest bells, or to level 3 to see the carillonist performing. (Visitors subject to acrophobia are recommended to visit level 2 only.) An optional spiral stairway between levels 2 and 3 allows for up-close views of some of the largest bells.",
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                "guid":"144518-21895449@events.umich.edu",
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        "location_name":"Lurie Ann & Robert H. Tower",
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        "cost":"Free - no tickets required",
        "tags":["North Campus","Music","Free"],
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                "group_name":"School of Music, Theatre & Dance (SMTD)",
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        "time_end":"15:00:00",
        "time_zone":"America\/Detroit",
        "event_title":"Canvas Accessibility for Panorama",
        "occurrence_title":"",
        "combined_title":"Canvas Accessibility for Panorama",
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        "event_type_id":"8",
        "description":"Join ITS-Accessibility for an engaging, in-depth training session on using Panorama to enhance the accessibility of your Canvas course site. Panorama is a powerful accessibility tool integrated into Canvas that enables instructors and instructional support staff to create, scan, and fix digital content for accessibility directly within Canvas. In addition, Panorama allows students to automatically generate alternative formats of Canvas content and attached files, ensuring materials are accessible in the formats that work best for them. This training will provide practical guidance and step-by-step demonstrations to help you identify and resolve potential accessibility barriers, making your Canvas course more inclusive and user-friendly for everyone.",
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        "tags":["Disability","digital technology","Digital Accessibility","Canvas","assistive technology","Artificial Intelligence","accessibility","access"],
        "website":"https:\/\/www.youtube.com\/@UMITSCommunications",
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        "datetime_modified":"20251029T101040",
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        "time_start":"14:00:00",
        "time_end":"15:30:00",
        "time_zone":"America\/Detroit",
        "event_title":"Change it Up!",
        "occurrence_title":"",
        "combined_title":"Change it Up!: Presenter: Tina Jordan",
        "event_subtitle":"Presenter: Tina Jordan",
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        "tags":["Intergroup Dialogue","Communication","Well-being","Leadership"],
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        "datetime_modified":"20260311T090412",
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        "date_end":"2026-03-11",
        "time_start":"14:30:00",
        "time_end":"16:00:00",
        "time_zone":"America\/Detroit",
        "event_title":"(Artificial) Intelligence saturation and the future of work",
        "occurrence_title":"",
        "combined_title":"(Artificial) Intelligence saturation and the future of work: Ioana Marinescu, University of Pennsylvania",
        "event_subtitle":"Ioana Marinescu, University of Pennsylvania",
        "event_type":"Workshop \/ Seminar",
        "event_type_id":"21",
        "description":"Macroeconomic models typically treat AI as just another form of capital and predict a slowly evolving world, while computer science scaling laws applied to the whole economy predict explosive growth and the potential for a singularity-like event. Both views gloss over the asymmetric reality that intelligence capital or AI scales at computer-science speeds, whereas physical capital and labor do not. What\u2019s missing is a unified, parameter-driven framework that can nest assumptions from both economics and computer science to generate meaningful predictions of AI\u2019s wage and output impacts. Here we use a constant elasticity of substitution (CES) production function framework that separates physical and intelligence sectors. Whereas physical capabilities let us affect the world, intelligence capabilities let us do this as well: The two are complementary. Given complementarity between the two sectors, the marginal returns to intelligence saturate, no matter how fast AI scales. Because the price of AI capital is falling much faster than that of physical capital, intelligence tasks are automated first, pushing human labor toward the physical sector. The impact of automation on wages is theoretically ambiguous and can be non-monotonic in the degree of automation. A necessary condition for automation to decrease wages is that the share of employment in the intelligence sector decreases; this condition is not sufficient because automation can raise output enough to offset negative reallocation effects. In our baseline simulation, wages increase and then decrease with automation. Our interactive tool shows how parameter changes shift that trajectory. Wage decreases are steeper at high levels of automation when the outputs of the physical and intelligence sectors are more substitutable. After full automation, more AI and more physical capital increase wages, a classic prediction from standard production functions in capital and labor. Yet, when intelligence and physical are complementary, the marginal wage impact of AI capital saturates as AI grows large. More broadly, the model offers a structured way to map contrasting intuitions from economics and computer science into a shared parameter space, enabling clearer policy discussions and guiding empirical work to identify which growth and wage trajectories are plausible.",
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                "guid":"143691-21893653@events.umich.edu",
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        "tags":["Economics","Labor","seminar"],
        "website":"http:\/\/www.lsa.umich.edu\/econ",
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                "group_name":"Department of Economics",
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                "website":"http:\/\/www.lsa.umich.edu\/econ"                },             {
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        "datetime_modified":"20260309T040203",
        "datetime_start":"20260311T143000",
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        "date_end":"2026-03-11",
        "time_start":"14:30:00",
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        "time_zone":"America\/Detroit",
        "event_title":"Learning seminar in algebraic combinatorics: The Fundamental Theorem of Finite Semidistributive Lattices",
        "occurrence_title":"",
        "combined_title":"Learning seminar in algebraic combinatorics: The Fundamental Theorem of Finite Semidistributive Lattices: Ming Yean Lim",
        "event_subtitle":"Ming Yean Lim",
        "event_type":"Workshop \/ Seminar",
        "event_type_id":"21",
        "description":"Last time, we saw that the lattice of torsion classes is completely semidistributive. Motivated in part by this fact, Reading\u2013Speyer\u2013Thomas proved a fundamental theorem of finite semidistributive lattices. We'll give the necessary definitions to state the theorem, give some examples, and explain the connection to torsion classes. Time permitting, we will also describe canonical join representations and the canonical join complex of a finite semidistributive lattice.",
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        "room":"4088",
        "location_name":"East Hall",
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        "tags":["Mathematics"],
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             {
                "group_name":"Learning Seminar in Algebraic Combinatorics - Department of Mathematics",
                "group_id":"4894",
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        "datetime_modified":"20260308T171222",
        "datetime_start":"20260311T143000",
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        "time_zone":"America\/Detroit",
        "event_title":"Student Number Theory: Tate Conjecture for Shimura Varieties of Type (G(U(1,n-1) x U(n-1,1)))",
        "occurrence_title":"",
        "combined_title":"Student Number Theory: Tate Conjecture for Shimura Varieties of Type (G(U(1,n-1) x U(n-1,1))): Zijie Tao",
        "event_subtitle":"Zijie Tao",
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        "description":"In this talk, we will discuss the Tate conjecture for Shimura varieties of type (G(U(1,n-1) x U(n-1,1))). We will first describe the supersingular locus of these Shimura varieties, which provides Gysin maps induced by the closed immersions of the irreducible components of the supersingular locus.\n\nUsing these maps, we reduce the Tate conjecture to showing that a certain matrix has nonzero determinant, where the entries are given by Hecke actions and incidence numbers. The overall strategy is similar to the proof of the Tate conjecture for more general Shimura varieties, but expressed in a slightly more elaborate language.",
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                "group_name":"Student Number Theory Seminar - Department of Mathematics",
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        "datetime_modified":"20251202T115505",
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        "datetime_end":"20260311T160000",
        "has_end_time":1,
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        "date_end":"2026-03-11",
        "time_start":"15:00:00",
        "time_end":"16:00:00",
        "time_zone":"America\/Detroit",
        "event_title":"Grants office hours: Get support applying for one of SSC's Sustainability Grants!",
        "occurrence_title":"",
        "combined_title":"Grants office hours: Get support applying for one of SSC's Sustainability Grants!",
        "event_subtitle":"",
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        "event_type_id":"22",
        "description":"Drop in to our weekly open office hours to learn and get support applying to our Planet Blue Student Innovation Fund (PBSIF) or Social and Environmental Sustainability Grant (SES).",
        "occurrence_notes":null,
                "guid":"138848-21890503@events.umich.edu",
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