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        "event_title":"2023 Software Seminar Series: FDA Regulation of Clinical Decision Support Software & Artificial Intelligence and Machine Learning (AI\/ML)",
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        "combined_title":"2023 Software Seminar Series: FDA Regulation of Clinical Decision Support Software & Artificial Intelligence and Machine Learning (AI\/ML): Featuring Pamela Forrest and Christina Kuhn from Covington & Burling LLP",
        "event_subtitle":"Featuring Pamela Forrest and Christina Kuhn from Covington & Burling LLP",
        "event_type":"Presentation",
        "event_type_id":"16",
        "description":"Tuesday, February 7, 2023\r\n4:00\u20135:15pm\r\n\r\nJoin us for discussion and insights on FDA Regulation of Clinical Decision Support Software & Artificial Intelligence and Machine Learning (AI\/ML).\r\n\r\nFeatured Speakers:\r\n\r\nPamela Forrest, Partner at Covington & Burling LLP\r\n\r\nChristina Kuhn, Associate at Covington & Burling LLP",
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        "event_title":"Colloquium: Anderson localization for quasiperiodic operators with monotone potentials: perturbative and non-perturbative methods",
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        "combined_title":"Colloquium: Anderson localization for quasiperiodic operators with monotone potentials: perturbative and non-perturbative methods: Ilya Kachkovskiy (Michigan State University)",
        "event_subtitle":"Ilya Kachkovskiy (Michigan State University)",
        "event_type":"Workshop \/ Seminar",
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        "description":"The general subject of the talk is spectral theory of discrete (tight-binding) Schrodinger operators on $d$-dimensional lattices. For operators with periodic potentials, it is known that the spectra of such operators are purely absolutely continuous. For random i.i.d. potentials, such as the Anderson model, it is expected and can be proved in many cases that the spectra are almost surely purely point with exponentially decaying eigenfunctions (Anderson localization). Quasiperiodic operators can be placed somewhere in between: depending on the potential sampling function and the Diophantine properties of the frequency and the phase, one can have a large variety of spectral types. We will consider quasiperiodic operators\r\n$$\r\n(H(x)\\psi)_n=\\epsilon(\\Delta\\psi)_n+f(x+n\\cdot\\omega)\\psi_n,\\quad n\\in \\mathbb Z^d,\r\n$$\r\nwhere $\\Delta$ is the discrete Laplacian, $\\omega$ is a vector with rationally independent components, and $f$ is a $1$-periodic function on $\\mathbb R$, monotone on $(0,1)$ with a positive lower bound on the derivative and some additional regularity properties. We will focus on two methods of proving Anderson localization for such operators: a perturbative method based on direct analysis of cancellations in the Rayleigh\u2014Schr\\\u201dodinger perturbation series for arbitrary $d$, and a non\u2014perturbative method based on the analysis of Green\u2019s functions for $d=1$, originally developed by S. Jitomirskaya for the almost Mathieu operator.\r\n\r\nThe talk is based on joint works with S. Krymskii, L. Parnovski, and R. Shterenberg (perturbative methods) and S. Jitomirskaya (non-perturbative methods).",
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    {
        "datetime_modified":"20230111T094655",
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        "event_title":"DISCO Network Lecture Series | Algorithmic Ableism at the Intersections: Disability, Race, Gender, and New Technologies",
        "occurrence_title":"",
        "combined_title":"DISCO Network Lecture Series | Algorithmic Ableism at the Intersections: Disability, Race, Gender, and New Technologies: Lydia X. Z. Brown in Conversation with Remi Yergeau and David Adelman",
        "event_subtitle":"Lydia X. Z. Brown in Conversation with Remi Yergeau and David Adelman",
        "event_type":"Lecture \/ Discussion",
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        "description":"Lydia X. Z. Brown's work focuses on unearthing, examining, and challenging the intersectional harms of algorithmic technologies on disabled people living at the margins of the margins. From algorithmic worker management, credit decisions, threat assessment, health predictions, decision-making technologies, and surveillance apparatuses, algorithmic and automated technologies increasingly have an outsized impact on disabled people, particularly disabled people from multiply-marginalized communities. Lydia's work calls attention to the particular ways in which algorithmic technologies serve to exclude disabled people from public participation and social integration, exacerbate existing hyper-surveillance of and attendant harms to disabled people, and manufacture new means of regulating disabled people's lives.\r\n\r\nLydia X. Z. Brown is an advocate, organizer, attorney, strategist, and writer whose work focuses on interpersonal and state violence against disabled people at the intersections of race, class, gender, sexuality, faith, language, and nation. Lydia is Policy Counsel for Privacy & Data at the Center for Democracy & Technology, where their work focuses on algorithmic harm and disability discrimination. Lydia is also an adjunct lecturer in the Women's and Gender Studies Program and the Disability Studies Program at Georgetown University, as well as an adjunct professorial lecturer in American Studies in the Department of Critical Race, Gender, and Culture Studies at American University. They are co-president of the Disability Rights Bar Association and Disability Justice Committee representative on the National Lawyers Guild board.\r\n\r\nM. Remi Yergeau is the Arthur F. Thurnau Associate Professor of Digital Studies and English at the University of Michigan. They direct the Digital Accessible Futures Lab as a part of the DISCO Network, which is funded by the Mellon Foundation. Their scholarly interests include rhetoric & writing studies, digital studies, queer rhetorics, disability studies, and theories of mind. Their  Authoring Autism: On Rhetoric and Neurological Queerness (Duke UP), is a winner of the 2017 Modern Language Association First Book Prize, the 2019 CCCC Lavender Rhetorics Book Award for Excellence in Queer Scholarship, and the 2019 Rhetoric Society of America Book Award. They are currently at work on a second book project on disability, techno-rhetorics, and sociality, tentatively titled Crip Data.\r\n\r\nDavid Adelman is a DISCO Network Postdoctoral Research Rellow at the Digital Accessible Futures Lab at the University of Michigan. His research interests center on disability and crip studies, with a particular emphasis on disability media studies, digital disability cultures, disability film studies, and critical sexuality studies. Through an interdisciplinary crip studies\/feminist lens, he pursues questions which emerge at the intersection of power, culture, technology, identity, and desire.\r\n\r\nWe want to make our events accessible to all participants. Please register in advance for the online Zoom Webinar here: https:\/\/bit.ly\/3jUrnOE\r\n\r\nCART will be provided. If you anticipate needing accommodations to participate, please email the DISCO Network at disconetwork@umich.edu. Please note that some accommodations must be arranged in advance and we encourage you to contact us as soon as possible.",
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        "event_title":"DNA Nanostructures: From Design to Biological Function",
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        "event_title":"Meet the Interns & Career Fair Prep!",
        "occurrence_title":"",
        "combined_title":"Meet the Interns & Career Fair Prep!",
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