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DTSTART:20070311T020000
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BEGIN:VEVENT
DTSTAMP:20250328T143550
DTSTART;TZID=America/Detroit:20250424T140000
DTEND;TZID=America/Detroit:20250424T160000
SUMMARY:Workshop / Seminar:Practice Behavior-Based Interviewing Using Virtual Reality
DESCRIPTION:Course details and registration are available on the Organizational Learning website.
UID:132729-21871653@events.umich.edu
URL:https://events.umich.edu/event/132729
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Leadership,Information and Technology,Human Resources
LOCATION:Center for Academic Innovation
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20250404T132423
DTSTART;TZID=America/Detroit:20250424T143000
DTEND;TZID=America/Detroit:20250424T160000
SUMMARY:Lecture / Discussion:Social Media and Ordinary Life: Affect\, Ethics\, and Aspiration in Contemporary China Book Conversation
DESCRIPTION:The Global Media and Communication Collective invites everyone to a book conversation/launch for Cara Wallis's Social Media and Ordinary Life. Please see flyer for more information.
UID:134713-21874782@events.umich.edu
URL:https://events.umich.edu/event/134713
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Media,Women's Studies,Chinese Studies,Communications,Digital Studies
LOCATION:North Quad - Space 2435
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20250409T134449
DTSTART;TZID=America/Detroit:20250424T150000
DTEND;TZID=America/Detroit:20250424T170000
SUMMARY:Social / Informal Gathering:Third Annual Shared Memories. The Armenian Experience Through Objects and Stories
DESCRIPTION:In our 3rd annual community commemoration of the anniversary of the 1915 Armenian Genocide\, the Center for Armenian Studies (CAS) in partnership with the Armenian Students Cultural Association (ASCA) and the Multidisciplinary Workshop for Armenian Studies (MWAS) invites you to a community show-and-tell of all things Armenian.\n\nDoes your family have an object or story that can speak to the Armenian experience\, the Armenian Genocide\, the Michigan-Armenian experience\, or the American-Armenian experience?\n\nYou are invited to bring an object and share your stories!\n\nRefreshments Provided!\n\nOpen to the Public.\nClick here for an optional RSVP to help us with a headcount: https://forms.gle/eZy1ZhNVUBm2MkfdA\n\n\nCo-sponsors: Armenian Students Cultural Association and Multidisciplinary Workshop for Armenian Studies
UID:129042-21862078@events.umich.edu
URL:https://events.umich.edu/event/129042
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Armenian Studies,international institute,Social,armenia
LOCATION:Weiser Hall - 1010
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20250303T063207
DTSTART;TZID=America/Detroit:20250424T150000
DTEND;TZID=America/Detroit:20250424T160000
SUMMARY:Careers / Jobs:Wipfli 101: Building your Personal Brand on LinkedIn
DESCRIPTION:Event Details:Date: April 24th\, 2025Time: 3:00-4:00 PM CSTLocation: VirtualWhat to Expect:Join us for an insightful virtual event where you'll get an in-depth look at Wipfli’s services and culture. This session will cover essential tips on what to include in your LinkedIn profile to make it stand out. You'll also learn about content creation and personal branding strategies to enhance your professional presence.Don't miss the opportunity to engage in a live Q&amp\;A session where you can get your questions answered by our experts!
UID:132317-21870756@events.umich.edu
URL:https://events.umich.edu/event/132317
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:
LOCATION:
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20250409T112315
DTSTART;TZID=America/Detroit:20250424T160000
DTEND;TZID=America/Detroit:20250424T172000
SUMMARY:Workshop / Seminar:A Pairwise Differencing Distribution Regression Approach for Network Models
DESCRIPTION:A novel estimation method for distribution regressions in a network setting is proposed. It considers the effects of covariates on the entire outcome distribution rather than solely on the mean. I adopt a semiparametric approach by considering two-way unit-specific effects. Thus\, I extend the standard distribution regression approach to a network setting by estimating multiple binary choice models with two-way fixed effects for different thresholds of the distribution. I employ a conditional maximum-likelihood approach that differences out the unit-specific effects\, avoiding the incidental parameter problem. This method yields consistent point estimates that converge at a parametric rate and remain asymptotically unbiased in the tails of the outcome distribution\, where the underlying network can be seen as sparse. Monte Carlo simulations validate these findings for single cut-off points and the overall outcome distribution. The empirical application focuses on gravity equations for bilateral trade\, demonstrating the effectiveness of the proposed approach in cases where the outcome variable is bounded below at zero.
UID:133823-21873598@events.umich.edu
URL:https://events.umich.edu/event/133823
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Economics,seminar
LOCATION:Lorch Hall - 301
CONTACT:
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