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        "date_end":"2023-04-06",
        "time_start":"15:00:00",
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        "time_zone":"America\/Detroit",
        "event_title":"FAFSA Workshop",
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        "combined_title":"FAFSA Workshop",
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        "event_type":"Workshop \/ Seminar",
        "event_type_id":"21",
        "description":"Come sit down with the Office of Financial aid and have all your FAFSA questions answered! Representatives from OFA will be there from 3-5pm to help you with your application.\u00a0",
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        "location_name":"Multipurpose Room in Trotter Multicultural Center",
        "has_livestream":0,
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        "tags":["Sessions"],
        "website":"https:\/\/sessions.studentlife.umich.edu\/p\/track\/9113",
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                "group_id":"4791",
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        "datetime_modified":"20230331T091524",
        "datetime_start":"20230406T150000",
        "datetime_end":"20230406T163000",
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        "date_start":"2023-04-06",
        "date_end":"2023-04-06",
        "time_start":"15:00:00",
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        "time_zone":"America\/Detroit",
        "event_title":"Honors Blind Book Event",
        "occurrence_title":"",
        "combined_title":"Honors Blind Book Event",
        "event_subtitle":"",
        "event_type":"Social \/ Informal Gathering",
        "event_type_id":"19",
        "description":"Join us at the Perlman Lounge in Mason Hall on Thursday, April 6th from 3:00-4:30PM to pick up a FREE wrapped book for some leisure reading! RSVP is REQUIRED, supplies are limited, and books will go out on a first come first serve basis.",
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                "guid":"107062-21815246@events.umich.edu",
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        "building_id":"1000197",
        "building_name":"Mason Hall",
        "campus_maps_id":"540",
        "room":"Perlman Honors Commons",
        "location_name":"Mason Hall",
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        "tags":["#Honors Program"],
        "website":"https:\/\/docs.google.com\/forms\/d\/e\/1FAIpQLSeb5qloaMMALC72_o3cU3E9XgL4-FnRRiOYSnRH34L1eabnNw\/viewform",
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    {
        "datetime_modified":"20230405T081442",
        "datetime_start":"20230406T150000",
        "datetime_end":"20230406T160000",
        "has_end_time":1,
        "date_start":"2023-04-06",
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        "event_title":"In-Space Design Technologies Integrated with Novel Metamaterials for Future Solar Arrays",
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        "combined_title":"In-Space Design Technologies Integrated with Novel Metamaterials for Future Solar Arrays: Dr. Serife Tol, Mechanical Engineering, University of Michigan",
        "event_subtitle":"Dr. Serife Tol, Mechanical Engineering, University of Michigan",
        "event_type":"Workshop \/ Seminar",
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        "description":"Abstract: Today\u2019s space structures are built on Earth, folded for delivery to space, and then deployed to their full size once in orbit. However, this traditional approach yields minimal opportunities for dramatic advances in terms of mass efficiency and the operational size of the structure. This seminar presents our novel approach to designing future space structures based on metamaterial technologies and advanced manufacturing in space. By removing the constraints associated with launch and deployment, we create a paradigm shift in the design of future structures and enable extended structures such as solar arrays, antennas, and optical systems where size is critical to performance. Specifically, our team integrates novel dissipative metamaterials and topological polarization along with crumpled designs and enables future space structures that can be modularly assembled in space. Thus, we can achieve large scalable structures beyond deployment limits and realize space designs that cannot be launched. This talk will cover the novel design of a 1MW solar array that is optimized for high precision and mass efficiency. We exploit crumpling for stiffness enhancement, metadamping for quick stabilization, and topological polarization for robustness and damage tolerance. We also demonstrate proof of the concept via 3D printing a lab-scale prototype which is tested in the PEPL vacuum chamber and vibration testing facilities at SPRL.\r\n\r\nBio: Dr. Serife Tol is an Assistant Professor in the Mechanical Engineering Department at the University of Michigan, Ann Arbor. She received her Ph.D. (2017) from Georgia Institute of Technology and her M.S. (2012) and B.S. (2009) degrees from Middle East Technical University (METU, Ankara, Turkey), all in mechanical engineering. She worked as a Test and Analysis Engineer in the Defense Systems Technologies Business Sector at ASELSAN (Turkey, Ankara) between 2009 and 2012. During her graduate studies at METU, she was elected as an M.S. fellow of the Scientific and Technological Research Council of Turkey. Prior to joining UM in 2018, she was a visiting scholar in the Civil and Materials Engineering Department at the University of Illinois Chicago. Dr. Tol\u2019s research interests include metamaterials, metasurfaces, phononic crystals, smart materials, electromechanical systems, vibrations, and wave propagation. Her research has been funded by the National Science Foundation and DARPA. She has published over 40 journal articles and conference proceedings in the field. Dr. Tol\u2019s research group is recognized with multiple best paper awards, Alexander Azarkhin Scholarship (2021) and Ivor K. McIvor Award (2022, 2023), and she is the recipient of the John F.Ullrich Education Excellence Award (2023).",
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    {
        "datetime_modified":"20230403T063836",
        "datetime_start":"20230406T150000",
        "datetime_end":"20230406T160000",
        "has_end_time":1,
        "date_start":"2023-04-06",
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        "time_zone":"America\/Detroit",
        "event_title":"Interdisciplinary QC-CM Seminar | From Biological Intelligence to Artificial General Intelligence: Challenges, Opportunities and Methodologies",
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        "combined_title":"Interdisciplinary QC-CM Seminar | From Biological Intelligence to Artificial General Intelligence: Challenges, Opportunities and Methodologies: Paul Bogdan (University of Southern California)",
        "event_subtitle":"Paul Bogdan (University of Southern California)",
        "event_type":"Workshop \/ Seminar",
        "event_type_id":"21",
        "description":"Brains build compact models of the world from just a few noisy and conflicting observations. They predict events via memory-based analogies even when resources are limited. The ability of biological intelligence to generalize and complete a wide range of unknown heterogeneous tasks calls for a comprehensive understanding of how networks of interactions among neurons, glia, and vascular systems enable human cognition. This will serve as a basis for advancing the design of artificial general intelligence (AGI). In this talk, we introduce a series of novel mathematical tools which can help us reconstruct networks among neurons, infer their objectives, and identify their learning rules. \r\n\r\nTo decode the network structure from very scarce and noisy data, we develop the first mathematical framework which identifies the emerging causal fractal memory phenomenon in the spike trains and the neural network topologies. We show that the fractional order operators governing the neuronal spiking dynamics provide insight into the topological properties of the underlying neuronal networks and improve the prediction of animal behavior during cognitive tasks. In addition to this, we propose a variational expectation-maximization approach to mine the optical imaging of brain activity and reconstruct the neuronal network generator, namely the weighted multifractal graph generator. Our proposed network generator inference framework can reproduce network properties, differentiate varying structures in brain networks and chromosomal interactions, and detect topologically associating domain regions in conformation maps of the human genome. Moreover, we develop a multiwavelet-based neural operator in order to infer the objectives and learning rules of complex biological systems. We thus learn the operator kernel of an unknown partial differential equation (PDE) from noisy scarce data. For time-varying PDEs, this model exhibits 2-10X higher accuracy than state-of-the-art machine learning tools.\r\n\r\nBio: Paul Bogdan is the Jack Munushian Early Career Chair and Associate Professor in the Ming Hsieh Department of Electrical and Computer Engineering at University of Southern California. He received his Ph.D. degree in Electrical & Computer Engineering at Carnegie Mellon University. His work has been recognized with a number of honors and distinctions, including the 2021 DoD Trusted Artificial Intelligence (TAI) Challenge award, the USC Stevens Center 2021 Technology Advancement Award for the first AI framework for SARS-CoV-2 vaccine design, the 2019 Defense Advanced Research Projects Agency (DARPA) Director\u2019s Fellowship award, the 2018 IEEE CEDA Ernest S. Kuh Early Career Award, the 2017 DARPA Young Faculty Award, the 2017 Okawa Foundation Award, the 2015 National Science Foundation (NSF) CAREER award, the 2012 A.G. Jordan Award from Carnegie Mellon University for an outstanding Ph.D. thesis and service, and several best paper awards. His research interests include cyber-physical systems, new computational cognitive neuroscience tools for deciphering biological intelligence, the quantification of the degree of trustworthiness and self-optimization of AI systems, new machine learning techniques for complex multi-modal data, the control of complex time-varying networks, the modeling and analysis of biological systems and swarms, new control techniques for dynamical systems exhibiting multi-fractal characteristics, performance analysis and design methodologies for heterogeneous manycore systems.",
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        "tags":["Physics","Science"],
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        "datetime_modified":"20230323T154851",
        "datetime_start":"20230406T150000",
        "datetime_end":"20230406T160000",
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        "event_title":"Topology seminar: Marked length pattern rigidity and Busemann cocycle",
        "occurrence_title":"",
        "combined_title":"Topology seminar: Marked length pattern rigidity and Busemann cocycle: Yanlong Hao",
        "event_subtitle":"Yanlong Hao",
        "event_type":"Workshop \/ Seminar",
        "event_type_id":"21",
        "description":"Given a closed Riemannian manifold M, the length of the shortest geodesic for each free homotopy class of loops on M is called the (minimal) length of the class. This gives a map called marked length spectrum. It is conjectured that the fundamental group and marked length spectrum together determine the isometric type of negatively curved manifolds. This conjecture has been verified for surfaces and locally symmetric spaces. In this talk, we show that for negatively curved arithmetic manifolds, the fundamental group with all pairs of different equal length classes, i.e., marked length pattern, is enough to recover the metric up to scaling. The central idea is marked length spectrum rigidity of cocycles.",
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        "tags":["Mathematics"],
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        "event_title":"Virtual Information Session",
        "occurrence_title":"",
        "combined_title":"Virtual Information Session",
        "event_subtitle":"",
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        "event_type_id":"22",
        "description":"Join us for a virtual, hour-long info session on undergraduate programs at the University of Michigan Stamps School of Art &amp; Design, including a presentation and Q&amp;A with current students and the admissions team.Info session times are Eastern US.\nVisit our Admissions Events page to learn more about additional upcoming events.",
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        "building_name":"Off Campus Location",
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        "has_livestream":0,
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        "tags":["Art"],
        "website":"https:\/\/stamps.umich.edu\/events\/virtual-information-session-2",
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                "group_id":"3157",
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        "datetime_modified":"20230316T133946",
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        "time_zone":"America\/Detroit",
        "event_title":"Vision 2034: Town Halls",
        "occurrence_title":"",
        "combined_title":"Vision 2034: Town Halls",
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        "event_type":"Meeting",
        "event_type_id":"14",
        "description":"The University of Michigan is engaging in a collective strategic visioning process to imagine our shared future for the next 10 years \u2014 our Vision 2034. The active participation of U-M students, faculty, staff, alumni and partners will be vital to the initiative\u2019s success. Join us as we embark on this historic journey. \r\n\r\nThe collective visioning process for Vision 2034 will occur throughout 2023 alongside other important U-M efforts, including Campus Planning \u2014 which will explore how the physical campus must evolve to support the future of U-M. It will build upon the insights and lessons learned from other ongoing university engagement efforts including Bold Challenges, Bold Ideas, Culture Journey, as well as planning for Diversity, Equity and Inclusion (DEI) 2.0. In addition, Vision 2034 will incorporate the strategic planning efforts occurring across the institution \u2014 including at UM\u2013Dearborn, UM-Flint, and Michigan Medicine. It also will be informed by the 2023 U-M Audience Research Project findings, expected soon.\r\n\r\nOur primary objectives are to:\r\n\r\n\u2022 Engage the university community at large in crafting a compelling vision for our shared future, grounded in our mission and values. Learn how to get involved.\r\n\r\n\u2022 Generate big ideas through town halls, surveys, focus groups and other forums.\r\n\r\n\u2022 Incorporate key themes from recent campus-wide engagement efforts and other planning initiatives to inform the vision.\r\n\r\n\u2022 Deliver a shared vision for charting the path of the university into the next 10 years.\r\n\r\n\u2022 Enable university leadership to establish mechanisms to measure progress toward our vision over time.\r\n\r\nThe sessions available in this track offer multiple opportunities for feedback and idea contribution through a Town Hall format. A variety of audience groups & organizations will also participate through invite-only focus groups (not listed here).\r\n\r\nPlease note: Registration for events is currently limited to U-M faculty, staff, and students. If you do not see an event for your U-M affiliation, please check back at a later time. Additional engagement opportunities will be continuously added.",
        "occurrence_notes":"See Sessions link for registration information.",
                "guid":"106244-21813971@events.umich.edu",
        "permalink":"http:\/\/events.umich.edu\/event\/106244",
        "building_id":"1000120",
        "building_name":"Michigan Union",
        "campus_maps_id":"191",
        "room":"Kuenzel Room",
        "location_name":"Michigan Union",
        "has_livestream":0,
        "cost":"",
        "tags":["Faculty","Graduate Students","Staff","Undergraduate"],
        "website":"https:\/\/sessions.studentlife.umich.edu\/track\/event\/13212",
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                "group_name":"Vision 2034",
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    {
        "datetime_modified":"20230322T152516",
        "datetime_start":"20230406T150000",
        "datetime_end":"20230406T163000",
        "has_end_time":1,
        "date_start":"2023-04-06",
        "date_end":"2023-04-06",
        "time_start":"15:00:00",
        "time_end":"16:30:00",
        "time_zone":"America\/Detroit",
        "event_title":"Weiser Center for Real Estate Speaker Series",
        "occurrence_title":"",
        "combined_title":"Weiser Center for Real Estate Speaker Series: Featuring Juli Kaufmann, President of Fix Development",
        "event_subtitle":"Featuring Juli Kaufmann, President of Fix Development",
        "event_type":"Lecture \/ Discussion",
        "event_type_id":"13",
        "description":"The Weiser Center for Real Estate is pleased to welcome Juli Kaufmann, President of Fix Development for an engaging and informative dialogue on her mission to produce \u201cquadruple bottom line\u201d real estate projects that aim to have positive cultural, social, environmental and economic impact on Thursday, April 6th, from 3:00pm-4:30pm EST at the Ross School of Business, Room 0220. Join us to learn how Fix Development catalyzes local economic opportunity and wealth creation, even in our most disinvested neighborhoods.  All are welcome to attend.",
        "occurrence_notes":null,
                "guid":"106601-21814549@events.umich.edu",
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        "room":"0220",
        "location_name":"Ross School of Business",
        "has_livestream":0,
        "cost":"",
        "tags":["real estate"],
        "website":"https:\/\/studyrealestate.umich.edu\/speaker-series-juli-kaufmann\/",
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    {
        "datetime_modified":"20230331T145329",
        "datetime_start":"20230406T153000",
        "datetime_end":"20230406T163000",
        "has_end_time":1,
        "date_start":"2023-04-06",
        "date_end":"2023-04-06",
        "time_start":"15:30:00",
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        "time_zone":"America\/Detroit",
        "event_title":"Hallucinations and objective assessments of deep learning technologies for medical image formation",
        "occurrence_title":"",
        "combined_title":"Hallucinations and objective assessments of deep learning technologies for medical image formation: Biomedical Engineering (BME 500) Seminar Series - Mark Anastasio, PhD",
        "event_subtitle":"Biomedical Engineering (BME 500) Seminar Series - Mark Anastasio, PhD",
        "event_type":"Workshop \/ Seminar",
        "event_type_id":"21",
        "description":"Abstract:\r\nA variety of deep learning-based image restoration and reconstruction methods, generically referred to as image formation methods, have been proposed for use with biomedical images. It is widely accepted that the assessment and refinement of biomedical imaging technologies should be performed by objective, i.e., task-based, measures of image quality (IQ). However, the objective evaluation of deep learning-based image formation technologies remains largely lacking, despite the breakneck speed at which they are being developed. As such, there is an ever-growing collection of methods whose utility and trustworthiness remains largely unknown. Moreover, such methods have the capability to \u2018hallucinate\u2019 false structures, which is of significant concern in medical imaging applications. In this work, we report studies in which the performance of deep learning-based image restoration methods is objectively assessed. The performance of the ideal observer (IO) and common linear numerical observers are quantified, and detection efficiencies are computed to assess the impact of deep learning image formation methods on signal detection performance. The numerical results indicate that, in the cases considered, the application of a deep image formation network can result in a loss of task-relevant information in the image, despite improvement in traditional computer-vision metrics. We also demonstrate that traditional and objective IQ measures can vary in opposite ways as a function of network depth. These results highlight the need for the objective evaluation of IQ for deep image formation technologies and may suggest future avenues for improving the effectiveness of medical imaging applications.\u00a0\r\n\r\nBio:\r\nDr. Mark Anastasio is the Donald Biggar Willett Professor in Engineering and the Head of the Department of Bioengineering at the University of Illinois at Urbana-Champaign (UIUC). Before joining UIUC in 2019, he was a Professor of Biomedical Engineering at Washington University in St. Louis, where he established one of the nation\u2019s first stand-alone PhD programs in imaging science. Dr. Anastasio\u2019s research accomplishments to the fields of biomedical imaging and image science have been numerous and impactful and his general interests broadly address the computational aspects of image formation, modern imaging science, and applied machine learning. He has conducted research in the fields of diffraction tomography, X-ray phase-contrast imaging, and ultrasound tomography. He one of the world\u2019s leading authorities on photoacoustic computed tomography (PACT) and has made numerous and important contributions to development of PACT for over fifteen years. He has published over 175 peer-reviewed journal papers in leading imaging and optical science journals and was the recipient of a National Science Foundation (NSF) CAREER Award to develop image reconstruction methods. He is a Fellow of the American Institute for Medical and Biological Engineering (AIMBE), the International Academy of Medical and Biological Engineering (IAMBE) and the SPIE. He also served as the Chair of the NIH BMIT-B and EITA Study Sections.\r\n\r\nZoom:\r\nhttps:\/\/umich.zoom.us\/j\/91712262512",
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        "location_name":"Cooley Building",
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        "tags":["Biology","biomedical","biomedical engineering","Biosciences","bme","engineering","Medicine","Michigan Engineering"],
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        "sponsors":[
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                "group_id":"1143",
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    {
        "datetime_modified":"20230421T123144",
        "datetime_start":"20230406T153000",
        "datetime_end":"20230406T163000",
        "has_end_time":1,
        "date_start":"2023-04-06",
        "date_end":"2023-04-06",
        "time_start":"15:30:00",
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        "time_zone":"America\/Detroit",
        "event_title":"International Student Career Series: How to Build Your Network",
        "occurrence_title":"",
        "combined_title":"International Student Career Series: How to Build Your Network",
        "event_subtitle":"",
        "event_type":"Careers \/ Jobs",
        "event_type_id":"2",
        "description":"\"You can\u2019t start networking unless you know where to begin! As an international student, it can be intimidating when thinking about the idea of having to interact with people in the U.S. That\u2019s totally okay because we got you covered! This workshop will give you the tools to identify and connect with contacts in addition to conducting informational interviews - opportunities that will help you expand your knowledge of what a career or company is like by learning from an employee's daily activities. Remember: Networking is about building relationships. These meetings can occur without the pressure so often present in a typical job interview but many times lead to opportunities down the road.\n\nThis session is an interactive workshop, so you are expected to prepare by carefully reviewing our networking website to learn the basics: Review Networking Resources:https:\/\/www.youtube.com\/watch?v=8PHpx31Amwc&t=2s\nhttps:\/\/careercenter.umich.edu\/article\/networking-resources\"",
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        "location_name":"University Career Center, 3200 Student Activities Building, Program Room (3003), 515 E Jefferson St, Ann Arbor, MI, United States",
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        "tags":[],
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                "group_id":"1140",
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    {
        "datetime_modified":"20230331T140458",
        "datetime_start":"20230406T160000",
        "datetime_end":"20230406T173000",
        "has_end_time":1,
        "date_start":"2023-04-06",
        "date_end":"2023-04-06",
        "time_start":"16:00:00",
        "time_end":"17:30:00",
        "time_zone":"America\/Detroit",
        "event_title":"CANCELED: DSI Lecture Series | The \u201cGreat White Way\u201d: Photography and America\u2019s White Imaginary",
        "occurrence_title":"",
        "combined_title":"CANCELED: DSI Lecture Series | The \u201cGreat White Way\u201d: Photography and America\u2019s White Imaginary: Carolyn Kane in Conversation with Lida Zeitlin-Wu",
        "event_subtitle":"Carolyn Kane in Conversation with Lida Zeitlin-Wu",
        "event_type":"Lecture \/ Discussion",
        "event_type_id":"13",
        "description":"In the twenty-first century, large-scale media spectacles are ubiquitous in metropolises around the world. These polychromatic spectacles offer a diversity of colors and scintillating delights, though they fail to acknowledge\u2013\u2013by their very design\u2013\u2013how they also perpetuate historically entrenched legacies of chromophobia. This talk responds to this odd contradiction by leaping backwards in time, to analyze the tensions and power struggles in the history of illuminated light in the American city in the late-nineteenth and early twentieth-centuries. The polemic between old world (European) whiteness and the explosive colors that mark America's twentieth-century \u201cwhite imaginary\u201d are charted through an archaeological critique of early advertising, photography, and the development of electric palettes for large-scale illuminated signs. By zeroing in on the \u201cWhite City\u201d at Chicago\u2019s 1893 Columbian World\u2019s Fair, and New York City\u2019s \u201cGreat White Way\u201d in the 1910s-1930s, I argue that a new training ground was forged for the American subject, engendering a unique brand of spectatorship rooted in visual possession by way of spectacle-based consumption.\r\n\r\nCarolyn L. Kane is the author of \"High-Tech Trash: Glitch, Noise, and Aesthetic Failure\" (University of California Press, 2019) and \"Chromatic Algorithms: Synthetic Color, Computer Art, and Aesthetics After Code\" (University of Chicago Press, 2014). Her current monograph, \"Electrographic Architecture: New York Color, Las Vegas Light, and America\u2019s White Imaginary\" is forthcoming from the University of California Press in 2023. More information can be found here: https:\/\/www.torontomu.ca\/kane\/\r\n\r\nLida Zeitlin-Wu is a DISCO Network Postdoctoral Research Fellow at the University of Michigan. She is a scholar of screen-based media and visual culture whose research focuses on the commodification and quantification of sensory experience under global techno-capitalism. Her current book project, \"Seeing By Numbers\" traces how color systems\u2014diagrams and models that attempt to encompass the full range of human color vision\u2014came to play a key role in engineering perception over the course of the 20th century. \r\n\r\nWe want to make our events accessible to all participants. This event will be a hybrid event with both a physical meeting space and an online meeting space. Please register in advance for the online Zoom Webinar here: https:\/\/bit.ly\/3Cvlmyq\r\n\r\nPlease register for the physical meeting space at the University of Michigan\u2019s Central Campus: https:\/\/myumi.ch\/qG1VX\r\n\r\nCART will be provided. If you anticipate needing accommodations to participate, please email Eric Mancini at dsi-administration@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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        "tags":["Digital Studies","Digital Studies Institute","Film","History","Interdisciplinary"],
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