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        "event_title":"Sarah Buckius: !!!techn010ffspring!!!",
        "occurrence_title":"",
        "combined_title":"Sarah Buckius: !!!techn010ffspring!!!: Lane Hall Exhibit, Fall 2023",
        "event_subtitle":"Lane Hall Exhibit, Fall 2023",
        "event_type":"Exhibition",
        "event_type_id":"7",
        "description":"Come explore the intricate and interlocking world of Sarah Buckius\u2019 \u201c!!!techn010ffspring!!!\u201d where feminist art meets science and the history of invention. On view at Lane Hall as part of U-M Arts Initiative\u2019s themed semester on Arts & Resistance, \u201c!!!techn010ffspring!!!\u201d critiques the patriarchal paradigms of the STEM field by highlighting the history of women inventors. This exhibition brings conceptual invention in fine art and performance to the disciplines of information technology, robotics, and engineering. Buckius creates \u201ctechnoffsprings\u201d: complex machines that weave together the history of inventions related to the gendered labor of women, especially regarding women\u2019s social roles as caregivers and subjects of care themselves. \r\nTrained as an engineer and an artist, Buckius\u2019 machines are intentionally complex, layered, and illogical or absurdly logical. In the nature of women\u2019s caregiving, they teeter between order and chaos. Her \u201cdigital tinkerings\u201d tell epic tales of motherhood, technology, female bodies, and commerce\u2014both personal and externalized through women\u2019s inventions and early forays that bridged caregiving and commerce. Buckius' work proposes improvisation as a form of absurdist resistance to, and alternative to, patriarchal, capitalist, production-based, and seemingly rational, useful, logical systems. \r\n\u201c!!!techn010ffspring!!!\u201d is open for viewing M-F, 9am-4pm or by appointment. University of Michigan instructors can email LaneHallExhibits@umich.edu to request a group tour or schedule a class visit.\r\nThis  project was made possible by a grant from the Arts Initiative at the University of Michigan and co-sponsored by U-M\u2019s Department of Women\u2019s and Gender Studies and the Institute for Research on Women and Gender with support from the Santa Cruz County Arts Council.",
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        "tags":["institute for research on women and gender","Arts Initiative","Diversity Equity and Inclusion","Engineering","Exhibition","feminism","focus on women","Art"],
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        "event_title":"Department Seminar Seminar Series: Jing Ouyang, PhD Candidate, Department of Statistics, University of Michigan",
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        "combined_title":"Department Seminar Seminar Series: Jing Ouyang, PhD Candidate, Department of Statistics, University of Michigan: \"Covariate-Adjusted Generalized Factor Analysis with Application to Testing Fairness\u201d",
        "event_subtitle":"\"Covariate-Adjusted Generalized Factor Analysis with Application to Testing Fairness\u201d",
        "event_type":"Workshop \/ Seminar",
        "event_type_id":"21",
        "description":"Abstract: In the era of data explosion, statisticians have been developing interpretable and computationally efficient statistical methods to measure latent factors (e.g. skills, abilities, and personalities) using large-scale assessment data. In addition to understanding the latent information, the covariate effect on responses controlling for latent factors is also of great scientific interest and has wide applications, such as evaluating the fairness of educational testing, where the covariate effect reflects whether a test question is biased toward certain individual characteristics (e.g. gender and race) taking into account their latent abilities. However, the large sample size, substantial covariate dimension, and great test length pose great challenges to developing efficient methods and drawing valid inferences. Moreover, to accommodate the commonly encountered discrete type of responses, nonlinear factor models are often assumed, bringing in further complexity to the problem. To address these challenges, we consider a covariate-adjusted generalized factor model and develop novel and interpretable conditions to address the identifiability issue. Based on the identifiability conditions, we propose a joint maximum likelihood estimation method and establish estimation consistency and asymptotic normality results for the covariate effects under a practical yet challenging asymptotic regime. Furthermore, we derive estimation and inference results for latent factors and the factor loadings.  We illustrate the performance of this method through extensive numerical studies and an application to a large-scale educational assessment, the Programme for International Student Assessment (PISA).",
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        "building_name":"West Hall",
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        "website":"https:\/\/lsa.umich.edu\/stats",
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    {
        "datetime_modified":"20230220T131204",
        "datetime_start":"20231207T100000",
        "datetime_end":"20231207T160000",
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        "date_start":"2023-12-07",
        "date_end":"2023-12-07",
        "time_start":"10:00:00",
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        "time_zone":"America\/Detroit",
        "event_title":"Featured Exhibits",
        "occurrence_title":"",
        "combined_title":"Featured Exhibits: Experimental Gallery: UN\/EARTH",
        "event_subtitle":"Experimental Gallery: UN\/EARTH",
        "event_type":"Exhibition",
        "event_type_id":"7",
        "description":"Featuring work by Gina Gibson, UN\/EARTH explores science and art from a mile underground. Located in the former Homestake gold mine in Lead, South Dakota, the Sanford Underground Research Facility (SURF) houses experiments that give us a better understanding of the universe. The location\u2014deep underground\u2014provides a near-perfect environment for experiments that need to escape the constant bombardment of cosmic radiation, which can interfere with the detection of rare physics events. Built in collaboration with the University of Michigan, the LUX-Zeplin is the world\u2019s most sensitive dark matter experiment. SURF also hosts experiments in biology, geology and engineering.\r\n\r\nGina Gibson is an internationally exhibiting artist and professor of Graphic Design at Black Hills State University. In 2019, Gibson became the first artist in residence at the Sanford Underground Research Facility. Gibson's work celebrates the search deep below the surface for beauty in the old and new, the light and dark, and the known and unknown.\r\n\r\nUN\/EARTH was developed in collaboration with the U-M Department of Physics, the Sanford Underground Research Facility and Black Hills State University.",
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        "building_id":"1005169",
        "building_name":"Museum of Natural History",
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        "tags":["Free","Art","Exhibition","Science","Museum","Natural Sciences"],
        "website":"https:\/\/www.bhsu.edu\/",
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