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        "event_title":"Why We Use Social Media: Evolution, Neuroscience, and Problematic Use",
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        "combined_title":"Why We Use Social Media: Evolution, Neuroscience, and Problematic Use: Prof. Dar Meshi",
        "event_subtitle":"Prof. Dar Meshi",
        "event_type":"Lecture \/ Discussion",
        "event_type_id":"13",
        "description":"Around two decades ago, Internet pioneers created online platforms that allow users to create profiles and interact with others.  Today, almost 3 billion people worldwide use these social networking sites, such as Facebook, Instagram, and Snapchat.  This talk will explain why we are driven to use these sites, the neuroscience underlying our use of these sites, and how social media use may become excessive and problematic.\r\n\r\nProf. Dar Meshi is a cognitive neuroscientist investigating problematic social media use and how the brain processes social information. He is currently an Assistant Professor at Michigan State University in the Department of Advertising and Public Relations. He is also a faculty member in the Neuroscience Program. Prof. Meshi earned his B.S. in biology from the University of California at Los Angeles, and his Ph.D. from Columbia University in New York.\r\n\r\nThis is the fifth in a six-lecture series. The subject is Social Media Research:  What We Know Now. The next lecture will be February 13, 2020. The title is: Is Technology Killing Privacy?",
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        "building_name":"Off Campus Location",
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        "location_name":"Washtenaw Community College, Towsley Auditorium in the Morris Lawrence Building. 4800 E. Huron River Drive, Ann Arbor, MI.",
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        "cost":"$10 for an individual lecture. Payable at the door. Checks preferred. $35 for the entire series of 6 lectures.",
        "tags":["retirement","Problematic Use","Neuroscience","Media Evolution","lifelong learning"],
        "website":"http:\/\/www.olli-umich.org",
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    {
        "datetime_modified":"20200203T161246",
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        "event_title":"Linguistics Colloquium: Computational Models of Retrieval Processes",
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        "combined_title":"Linguistics Colloquium: Computational Models of Retrieval Processes: Shravan Vasishth, University of Potsdam",
        "event_subtitle":"Shravan Vasishth, University of Potsdam",
        "event_type":"Lecture \/ Discussion",
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        "description":"Virtual colloquium (via BlueJeans) featuring Shravan Vasishth. Shravan Vasishth is professor of linguistics at the University of Potsdam, Germany, and holds the chair Psycholinguistics and Neurolinguistics (Language Processing). His research focuses on computational cognitive modeling, in particular, computational modeling of sentence processing in unimpaired and impaired populations, and the application of mathematical, computational, experimental, and statistical methods (particularly Bayesian methods) in linguistics and psychology. \r\n\r\nABSTRACT\r\nComputational models of retrieval processes: An evaluation using benchmark data\r\n\r\nThe talk will begin by revisiting the key predictions of the ACT-R based model of sentence processing (Lewis and Vasishth, 2005, henceforth LV05). As discussed in Engelmann, J\u00e4ger, and Vasishth, 2020, the LV05 model predicts two classes of similarity-based interference effects: inhibitory and facilitatory interference. J\u00e4ger, Engelmann, and Vasishth, 2017, carried out a meta-analysis of some 100 existing effect estimates (self-paced reading and eyetracking during reading). This work showed that the LV05 model's predictions are only partly consistent with the current evidence available. A closer look at the published data suggests that the published studies are likely to be severely underpowered. As Gelman and Carlin, 2014, have pointed out, when power is low, statistically significant effect estimates will be highly misleading: either the effects will be overestimated, or the sign of the effect will be incorrect (for a real-life demonstration, see Vasishth, Mertzen, J\u00e4ger, and Gelman, 2018). Coupled with the problem of publication bias (in so-called high-impact journals, \"big news\" claims are published more often than \"failed\" studies or more tempered claims), these underpowered studies make theory evaluation difficult to impossible. What can we do as researchers? How to proceed?\r\n\r\nIn the second part of the talk, I show one way that we can resolve these problems. In their classic paper, Roberts and Pashler (2000) laid out two important criteria for model evaluation: the model needs to make quantitatively constrained predictions, and the effect estimates have to be measured with high precision. Modeling researchers usually have one more criterion: model evaluation should always be carried out in the context of a competing baseline model to be meaningful. As a case study of model evaluation, we compare the predictive performance (using k-fold cross-validation) of the LV05 model with a competing model of retrieval processes, the McElree 2003 direct-access model (Nicenboim and Vasishth, 2018). The evaluation data-set is a relatively high-precision study on inhibitory interference effects in German number agreement (Nicenboim, Vasishth, Engelmann, and Suckow, 2018).",
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        "tags":["Psychology","Linguistics","colloquium"],
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                "group_name":"Department of Linguistics",
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        "datetime_modified":"20190510T121534",
        "datetime_start":"20200206T110000",
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        "date_start":"2020-02-06",
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        "time_zone":"America\/Detroit",
        "event_title":"Abstraction, Color, and Politics in the Early 1970s",
        "occurrence_title":"",
        "combined_title":"Abstraction, Color, and Politics in the Early 1970s",
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        "event_type":"Exhibition",
        "event_type_id":"7",
        "description":"Can abstract art be about politics? In the early 1970s, that question was hotly debated as artists, critics, and the public grappled with the relationship between art, politics, race, and feminism. Many of those debates centered on bringing to light the roles that gender and race played in how \u201cgreat modern art\u201d was defined and assessed, and on employing art to advance civil rights. Within this discourse, abstraction had an especially fraught role. To many, the decision by women artists and artists of color \u00a0to make abstract art seemed to represent a retreat from politics and protest: an abnegation of a commitment to civil rights and feminism. Abstraction, Color, and Politics in the Early 1970s presents large-scale work by four leading American artists\u2014Helen Frankenthaler, Sam Gilliam, Al Loving, and Louise Nevelson\u2014who chose abstraction as a means of expression within the intense political climate of the early 1970s.\n\nUMMA gratefully acknowledges the following donors for their generous support of this exhibition:\n\nLead Exhibition Sponsors: University of Michigan Office of the Provost, Michigan Medicine, and College of Literature, Science, and the Arts\n\nExhibition Endowment Donors: \u00a0Richard and\u00a0Rosann\u00a0Noel Endowment Fund, Herbert W. and Susan L.\u00a0Johe\u00a0Endowment, and Robert and Janet Miller Fund\n\nUniversity of Michigan Funding Partners: Institute for Research on Women and Gender, School of Social Work, Department of Political Science, and Department of Women's Studies",
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