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        "datetime_modified":"20230216T194721",
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        "datetime_end":"20230308T180000",
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        "date_end":"2023-03-08",
        "time_start":"12:00:00",
        "time_end":"18:00:00",
        "time_zone":"America\/Detroit",
        "event_title":"DigiPaint",
        "occurrence_title":"",
        "combined_title":"DigiPaint: Food Zine Gallery",
        "event_subtitle":"Food Zine Gallery",
        "event_type":"Exhibition",
        "event_type_id":"7",
        "description":"Feeling hungry? DigiPaint\u2019s fall semester zine features student artwork surrounding the theme of food!\r\n\r\nAbout DigiPaint\r\n\r\nDigiPaint, U of M\u2019s first digital art club, nurtures students throughout their digital painting journey by fostering a sense of community where artists of all levels can grow and form meaningful connections with like-minded individuals. We support each other through social and professional events where students can hone their skills and their careers through workshops, art challenges and critique, casual painting jams and professional networking opportunities.",
        "occurrence_notes":"Closed during Spring Break",
                "guid":"105080-21812101@events.umich.edu",
        "permalink":"http:\/\/events.umich.edu\/event\/105080",
        "building_id":"1000396",
        "building_name":"Duderstadt Center",
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        "room":"Gallery, Room 1019",
        "location_name":"Duderstadt Center",
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        "tags":["art","arts","exhibit","exhibition","north campus","Student Org","visual arts"],
        "website":"https:\/\/digipaintumich.carrd.co\/",
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                "group_id":"1094",
                "website":"http:\/\/www.dc.umich.edu\/dmc"                }                    ],
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    {
        "datetime_modified":"20230125T140847",
        "datetime_start":"20230308T120000",
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        "date_start":"2023-03-08",
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        "time_start":"12:00:00",
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        "event_title":"MPSDS JPSM Seminar Series - Network Size: Measurement and Errors",
        "occurrence_title":"",
        "combined_title":"MPSDS JPSM Seminar Series - Network Size: Measurement and Errors: Ai Rene Ong and Yibo Wang",
        "event_subtitle":"Ai Rene Ong and Yibo Wang",
        "event_type":"Lecture \/ Discussion",
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        "description":"MPSDS JPSM Seminar Series\r\nMarch 8, 2023\r\n12:00 - 1:00 EST\r\n\r\nAbstract\r\nRespondent driven sampling (RDS) is a sampling method that leverages the respondents' networks to reach more members of the target population. In RDS, the size of the respondents' social network (also known as personal network size (PNS), or respondent's degree) is important in both the study operations and in estimation. A commonly used estimation of degree is the self-reported data from the interview, which typically has substantial measurement error, and, specifically, is found to be frequently rounded to a multiple of five. Measurement error in the PNS can introduce biased estimates for RDS, especially if the misreporting of the degree is associated with the outcome to be estimated.\r\n\r\nThis brown bag will present two related studies on the measurement of PNS. The first study uses two sets of data; 1) semi-structured in-depth interviews conducted over Zoom with 19 adult respondents of various ages, gender identities (transgender, nonbinary, cisgender), race, and sexual orientations (gay, lesbian, bi), 2) an RDS web survey targeting the adult LGBT population (n = 394). Thematic analysis conducted on the semi-structured interview transcripts showed a large variation in how respondents define \"knowing\" someone; for some respondents, it covers a larger network than the \"recruitable\" network (the network of people respondents are likely to think of recruiting to an RDS study). Meanwhile, the web-RDS shows that the more restrictive PNS questions yielded more realistic ranges for a \"recruitable\" network, with less proportion of rounded responses on the more restrictive PNS questions. \r\n\r\nMotivated by the desire to improve the degree estimation in RDS, the second study presents a latent variable model to make inferences about participants\u2019 actual degrees and potential reporting behaviors. Specifically, individual-level degree estimation will be obtained by revealing the association between the actual degree and relevant personal characteristics and blending their response to \u201cHow many [a particular sub-population] do you know in the target population?\u201d Simulation studies demonstrate that the proposed method delivers sensible estimations about the individual degree.\r\n\r\nBios\r\nAi Rene Ong works at American Institutes for Research (AIR) as a Researcher\/Survey Methodologist in the area of Education Statistics. She graduated with a PhD in Survey Methodology from the University of Michigan in 2022. Her dissertation research was on the measurement of network size and the mechanism of peer recruitment in Respondent Driven Sampling \u2014 a sampling method typically used for hard-to-sample populations. \r\n\r\nYibo Wang is a 3rd year Ph.D. candidate from the department of Biostatistics. She is now working with Dr. Sunghee Lee and Dr. Michael Elliott on measurement estimation in Respondent Driven Sampling\r\n\r\nMichigan Program in Survey and Data Science (MPSDS)\r\nThe University of Michigan Program in Survey Methodology was established in 2001 seeking to train future generations of survey and data scientists. In 2021, we changed our name to the Michigan Program in Survey and Data Science. Our curriculum is concerned with a broad set of data sources including survey data, but also including social media posts, sensor data, and administrative records, as well as analytic methods for working with these new data sources. And we bring to data science a focus on data quality \u2014 which is not at the center of traditional data science. The new name speaks to what we teach and work on at the intersection of social research and data. The program offers doctorate and master of science degrees and a certificate through the University of Michigan. The program's home is the Institute for Social Research, the world's largest academically-based social science research institute.\r\n\r\nSummer Institute in Survey Research Techniques (SISRT)\r\nThe mission of the Summer Institute is to provide rigorous and high quality graduate training in all phases of survey research. The program teaches state-of-the-art practice and theory in the design, implementation, and analysis of surveys. The Summer Institute in Survey Research Techniques has presented courses on the sample survey since the summer of 1948, and has offered such courses every summer since.  Graduate-level courses through the Program in Survey and Data Science are offered from June 5 through July 28 and available to enroll in as a Summer Scholar.\r\n\r\nThe Summer Institute uses the sample survey as the basic instrument for the scientific measurement of human activity. It presents sample survey methods in courses designed to meet the educational needs of those specializing in social and behavioral research such as professionals in business, public health, natural resources, law, medicine, nursing, social work, and many other domains of study.",
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        "tags":["Anthropology","Biosciences","brown bag","Business","Data","Data Collection","Data Curation","Data Management","Data Science","Discussion","Economics","Free","Graduate","Health Data","Information and Technology","Kinesiology","Lgbtq","Mathematics","Multidisciplinary Design","Online","Political Science","Professional Development","Psychology","Research","Social Science","Sociology","Survey Methodology","Survey Research","Talk","Virtual"],
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                "group_id":"4430",
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        "event_title":"North Campus Mindfulness Meditation Drop-In (Online)",
        "occurrence_title":"",
        "combined_title":"North Campus Mindfulness Meditation Drop-In (Online)",
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        "description":"Take a moment to create some space to breathe and invite a sense of calm into your day. This is a guided mindfulness meditation drop-in session. No experience necessary. Free and open to all. \r\n\r\nEmail dmitryb@umich.edu to sign up for the mailing list. You will receive a weekly reminder with the zoom link. Also, you can add the sessions to your Google Calendar: https:\/\/tinyurl.com\/y3kbkwd6",
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        "tags":["Health & Wellness","Meditation","Mindfulness","Mindfulness, Meditation","North campus","Stress Reduction","Virtual","Well-being"],
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        "event_title":"Parent Webinars with Honors Assistant Director",
        "occurrence_title":"",
        "combined_title":"Parent Webinars with Honors Assistant Director",
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        "description":"Join Honors staff for an informative presentation on the LSA Honors Program, geared towards parents of prospective students.\r\n\r\n\r\n\r\nNOTE: Times are based on the Eastern Standard Time Zone (EST).",
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        "livestream_id":"96098523585",        
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        "tags":["#Honors Program","Admissions","Prospective Undergraduate Students"],
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        "event_title":"Practice Hub Lunch & Learn Series",
        "occurrence_title":"Exploring Cultural Humility and Respectful Communication Within Community Engagement",
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        "event_title":"SDG Student Presentation - Michigan EcoData Student Presentations",
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        "tags":["Ecology","Food","Student Org","Sustainability","Talk"],
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        "event_title":"Women's History Month: Listening to a Feminist Revolution",
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        "combined_title":"Women's History Month: Listening to a Feminist Revolution",
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        "time_start":"12:15:00",
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        "event_title":"VIRTUAL | CEW+INSPIRE MIDWEEK MINDFULNESS GUIDED SITS",
        "occurrence_title":"",
        "combined_title":"VIRTUAL | CEW+INSPIRE MIDWEEK MINDFULNESS GUIDED SITS",
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        "event_title":"Careers in Neuropsychology | Virtual Event | This Wednesday",
        "occurrence_title":"",
        "combined_title":"Careers in Neuropsychology | Virtual Event | This Wednesday",
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        "event_title":"A Mixed Integer Linear Programming Model For Ride-sharing With Advanced Air Mobility",
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        "combined_title":"A Mixed Integer Linear Programming Model For Ride-sharing With Advanced Air Mobility: Dengfeng Sun, PhD",
        "event_subtitle":"Dengfeng Sun, PhD",
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        "description":"In this talk, Professor Dengfeng Sun will present some research outcomes from the project, \u201cRide-sharing with Advanced Air Mobility.\u201d In this project, researchers from Purdue University developed a comprehensive and efficient mixed integer linear programming model for the autonomous aerial ridesharing service. They used one unified model to simultaneously solve two problems: \r\n\r\n1) the optimal assignment problem between the air taxis and the users, and \r\n2) the optimal path planning problem of the air taxis. \r\n\r\nThe model aims to minimize the waiting time of the users, the operation cost of the air taxis, the number of unserved ride-sharing requests, and the completion time of received requests. They will present challenges encountered during the project and share some computational results from the model.\r\n\r\nMore on this research: https:\/\/myumi.ch\/XerpB\r\n\r\n---\r\n\r\nAbout the speaker: Dengfeng Sun is a Professor of Aeronautics and Astronautics at Purdue University, West Lafayette, Indiana. Before joining Purdue, he was an Associate Scientist with University of California Santa Cruz at NASA Ames Research Center. He received a bachelor's degree in precision instruments and mechanology from Tsinghua University in China, a master's degree in industrial and systems engineering from the Ohio State University, and a PhD degree in civil engineering from University of California at Berkeley. Dr. Sun's research interests include distributed control and optimization: theory, algorithms, and computation; cyber-physical systems; unmanned aerial vehicle systems; air traffic control and air transportation; intelligent transportation systems. \r\nDr. Sun is an Associate Fellow of the AIAA (American Institute of Aeronautics and Astronautics) and a Senior Member of the IEEE (Institute of Electrical and Electronics Engineers). Currently, he is an Associate Editor for the IEEE Transactions on Intelligent Transportation Systems. Dr. Sun is a Co-Director of NEXTOR III, the FAA Consortium in Aviation Operations Research, and serves the Technical Committee on Guidance, Navigation, and Control in the AIAA. He is the faculty advisor of Sigma Gamma Tau, the national honor society for Aerospace Engineering. Dr. Sun is a Private Pilot and a Drone Pilot. He was the faculty advisor of PPI (Purdue Pilots, Inc.) from 2012 to 2021.",
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