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DTSTAMP:20230216T194721
DTSTART;TZID=America/Detroit:20230308T120000
DTEND;TZID=America/Detroit:20230308T180000
SUMMARY:Exhibition:DigiPaint
DESCRIPTION:Feeling hungry? DigiPaint’s fall semester zine features student artwork surrounding the theme of food!\n\nAbout DigiPaint\n\nDigiPaint\, U of M’s 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.
UID:105080-21812101@events.umich.edu
URL:https://events.umich.edu/event/105080
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:art,arts,exhibit,exhibition,north campus,Student Org,visual arts
LOCATION:Duderstadt Center - Gallery, Room 1019
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20230125T140847
DTSTART;TZID=America/Detroit:20230308T120000
DTEND;TZID=America/Detroit:20230308T130000
SUMMARY:Lecture / Discussion:MPSDS JPSM Seminar Series - Network Size: Measurement and Errors
DESCRIPTION:MPSDS JPSM Seminar Series\nMarch 8\, 2023\n12:00 - 1:00 EST\n\nAbstract\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.\n\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. \n\nMotivated by the desire to improve the degree estimation in RDS\, the second study presents a latent variable model to make inferences about participants’ 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 “How many [a particular sub-population] do you know in the target population?” Simulation studies demonstrate that the proposed method delivers sensible estimations about the individual degree.\n\nBios\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 — a sampling method typically used for hard-to-sample populations. \n\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\n\nMichigan Program in Survey and Data Science (MPSDS)\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 — 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.\n\nSummer Institute in Survey Research Techniques (SISRT)\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.\n\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.
UID:104021-21808283@events.umich.edu
URL:https://events.umich.edu/event/104021
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES: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
LOCATION:Off Campus Location
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20240116T141648
DTSTART;TZID=America/Detroit:20230308T120000
DTEND;TZID=America/Detroit:20230308T123000
SUMMARY:Well-being:North Campus Mindfulness Meditation Drop-In (Online)
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. \n\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
UID:40967-21807366@events.umich.edu
URL:https://events.umich.edu/event/40967
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Health & Wellness,Meditation,Mindfulness,Mindfulness\, Meditation,North campus,Stress Reduction,Virtual,Well-being
LOCATION:Off Campus Location
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20230202T114551
DTSTART;TZID=America/Detroit:20230308T120000
DTEND;TZID=America/Detroit:20230308T130000
SUMMARY:Livestream / Virtual:Parent Webinars with Honors Assistant Director
DESCRIPTION:Join Honors staff for an informative presentation on the LSA Honors Program\, geared towards parents of prospective students.\n\n\n\nNOTE: Times are based on the Eastern Standard Time Zone (EST).
UID:101857-21802567@events.umich.edu
URL:https://events.umich.edu/event/101857
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:#Honors Program,Admissions,Prospective Undergraduate Students
LOCATION:Off Campus Location
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20230308T062025
DTSTART;TZID=America/Detroit:20230308T120000
DTEND;TZID=America/Detroit:20230308T130000
SUMMARY:Workshop / Seminar:Practice Hub Lunch & Learn Series
DESCRIPTION:Are you looking for opportunities to hone your leadership skills\, and communication and work with others? Join us at the monthly lunch and learn sessions will be held in the Practice Office space in Suite 2700\, unless otherwise stated. These programs are focused on interdisciplinary collaboration and learning and are rooted in principles of Design Thinking\, Transformative Learning\, and Experiential learning theory. 
UID:102788-21810415@events.umich.edu
URL:https://events.umich.edu/event/102788
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Sessions
LOCATION:SPH Building 1-Second Floor lounge area in Suite 2700
CONTACT:
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DTSTAMP:20230301T150636
DTSTART;TZID=America/Detroit:20230308T120000
DTEND;TZID=America/Detroit:20230308T130000
SUMMARY:Presentation:SDG Student Presentation - Michigan EcoData Student Presentations
DESCRIPTION:Wednesday\, March 8\, 12:00 - 1:00 PM | UMSI Engagement Center\n\nOn Wednesday\, the U-M School of Information's Engaged Learning Office will host a presentation by the Michigan EcoData student organization about their work. Michigan EcoData allows students to follow their passion for environmental and ecological conservation with the help of innovations in technology and data. Michigan EcoData is a sponsored student organization of the Michigan Institute for Data Science (MIDAS). This event is part of the UMSI ELO's United Nations' Sustainable Development Goals (SDG) Action and Awareness Week.\nLunch will be served for registered attendees.\n\nRegister to attend at https://airtable.com/shrzC2HBwmDi2ijmP
UID:105605-21812259@events.umich.edu
URL:https://events.umich.edu/event/105605
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Ecology,Food,Student Org,Sustainability,Talk
LOCATION:North Quad - UMSI Engagement Center - 777 N. University (Above Panera)
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20230224T122344
DTSTART;TZID=America/Detroit:20230308T120000
DTEND;TZID=America/Detroit:20230308T130000
SUMMARY:Lecture / Discussion:Women's History Month: Listening to a Feminist Revolution
DESCRIPTION:\"Woman-Life-Freedom: The Women-Led Revolution of our Time!\" A Conversation with Negar Mottahedeh: Listening to a Feminist Revolution Join us over lunch to learn more about the women's protest of March 8th 1979 in Iran and how it is connected to the current women-led movement. Negar Mottahedeh is an Iranian scholar and professor at Duke University. Lunch will be provided on a first come first served basis.\n\nRSVP is required.\nContact: Penny Kitsopoulos at pkitsop@umich.edu
UID:105425-21811755@events.umich.edu
URL:https://events.umich.edu/event/105425
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Diversity Equity and Inclusion,Engineering,Graduate,Graduate Students
LOCATION:Pierpont Commons - East Room
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20221215T162044
DTSTART;TZID=America/Detroit:20230308T121500
DTEND;TZID=America/Detroit:20230308T124500
SUMMARY:Well-being:VIRTUAL | CEW+INSPIRE MIDWEEK MINDFULNESS GUIDED SITS
DESCRIPTION:RSVP here: https://umich.zoom.us/meeting/register/tJAqceGoqDosHN15uxUlzCWWN6qwjNjSQpj_ \n\nJoin us in community to practice mindfulness meditation\, a life-enhancing skill that can be learned with consistent practice. This formal\, largely-guided\, practice utilizes evidence-based cognitive training that bolsters one's ability to handle stress\, poor mood\, and threat.  This weekly mindfulness practice encourages present moment\, non-judgemental\, awareness – noticing where your focus and attention are and continually inviting attention to current mind and body sensations in a kind and compassionate way.\n\nMindfulness meditation opens the possibility to pause\, gain perspective\, attend to the present\, and respond accordingly. In our ever-changing\, complex\, and challenging world\, mindfulness can provide grounding. As one form of contemplative practice\, mindfulness meditation can offer a framework to support a more skillful approach to navigating the demands of being human and support practitioners to build resilience and take compassionate action.\n\nWhether you are new to mindfulness meditation or are an experienced practitioner\, each session is designed to offer guidance and support to assist you. All are welcome to attend weekly or drop-in as their schedule allows.
UID:96537-21803814@events.umich.edu
URL:https://events.umich.edu/event/96537
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Mindfulness,Virtual,Well-being,Wellness,women's health,Work-life Balance,Zoom
LOCATION:Off Campus Location
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20230323T123217
DTSTART;TZID=America/Detroit:20230308T123000
DTEND;TZID=America/Detroit:20230308T140000
SUMMARY:Careers / Jobs:Careers in Neuropsychology | Virtual Event | This Wednesday
DESCRIPTION:Interested in the brain and behavior? Interested in a career in Neuropsychology? Join us for an interactive event to learn from our special guests and learn about the field of neuropsychology\, plus insider tips to prepare you for this great career!\n\nPANEL:\nZanjbeel Mahmood\, PhD | Neuropsychology Postdoctoral Resident at the West Los Angeles VA & Assistant Project Scientist at UCLA\n\nRobiann Broomfield\, MA | PhD student inClinical Psychology at Wayne\nState University
UID:105869-21813179@events.umich.edu
URL:https://events.umich.edu/event/105869
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:
LOCATION:
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20230214T103816
DTSTART;TZID=America/Detroit:20230308T130000
DTEND;TZID=America/Detroit:20230308T140000
SUMMARY:Livestream / Virtual:A Mixed Integer Linear Programming Model For Ride-sharing With Advanced Air Mobility
DESCRIPTION:In this talk\, Professor Dengfeng Sun will present some research outcomes from the project\, “Ride-sharing with Advanced Air Mobility.” 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: \n\n1) the optimal assignment problem between the air taxis and the users\, and \n2) the optimal path planning problem of the air taxis. \n\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.\n\nMore on this research: https://myumi.ch/XerpB\n\n---\n\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. \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.
UID:104946-21810494@events.umich.edu
URL:https://events.umich.edu/event/104946
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Basic Science,Discussion,Education,Engineering,Engineering Academic Calendar,Faculty,Free,Information and Technology,Interdisciplinary,Lecture,Michigan Engineering,Research,Science,Talk,Virtual,Webcast
LOCATION:Off Campus Location
CONTACT:
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