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DTSTART:20070311T020000
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BEGIN:VEVENT
DTSTAMP:20260919T160749
DTSTART;TZID=America/Detroit:20260924T120000
DTEND;TZID=America/Detroit:20260924T150000
SUMMARY:Other:U-M Farm Stand
DESCRIPTION:Join the U-M Sustainable Food Program (SL Sustainability) and the Campus Farm (Matthaei Botanical Gardens) every Thursday from 12-3pm to get produce grown by students for students\, and learn more about student-powered food systems while you're there.\n\nAs always\, students get a 30% discount and revenue from the Farm Stand will support the Student Food Empowerment Fund\, which offers grants to students and student organizations to pursue student-powered sustainable food projects on and off-campus.
UID:152469-21913782@events.umich.edu
URL:https://events.umich.edu/event/152469
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Food,Sustainability,sustainable food systems,vegetables,agriculture,Climate Week,Community,Food Justice,Health & Wellness
LOCATION:Ingalls Mall
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20260920T052128
DTSTART;TZID=America/Detroit:20260924T124500
DTEND;TZID=America/Detroit:20260924T143000
SUMMARY:Conference / Symposium:Maize & Blue Cupboard Volunteering
DESCRIPTION:Come help us during normal operating hours\; as well as\, unload our weekly Food Gatherers deliveries and stock our shelves! If you are outside the U-M community\, please reach out to maize.blue.cupboard@umich.edu to sign up.
UID:102102-21910772@events.umich.edu
URL:https://events.umich.edu/event/102102
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Sessions
LOCATION:Maize and Blue Cupboard inside Betsy Barbour
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260916T103721
DTSTART;TZID=America/Detroit:20260924T130000
DTEND;TZID=America/Detroit:20260924T170000
SUMMARY:Workshop / Seminar:Donia Human Rights Center and Artificial Intelligence Laboratory Workshop | AI & Human Rights Workshop
DESCRIPTION:Co-sponsored by the Artificial Intelligence Laboratory: https://ai.engin.umich.edu/\n\nLocation: Registration required. Please message ailabadmin@umich.edu with your name\, e-mail\, faculty or student status\, and a brief indication of how your work relates to AI & Human Rights.\n   \n   Presenters/facilitators:\n   \nRada Mihalcea (Janice M. Jenkins Collegiate Professor of Computer Science and Engineering\, Professor and Director\, Artificial Intelligence Lab)\n\nPeter Railton (Emeritus Gregory S. Kavka Distinguished University Professor\; John Stephenson Perrin Professor\; Arthur F. Thurnau Professor\, UM LSA Philosophy)\n\nZhijing Jin (Assistant Professor at the University of Toronto\, and a Research Scientist at the Max Planck Institute)\n   \n   Human rights are under pressure worldwide\, and AI is increasingly part of both the problem and the solution. AI systems can help uncover abuses\, expand access to services\, support crisis response\, and detect harmful patterns at scale. But they can also amplify surveillance\, bias\, disinformation\, and exclusion. To develop solutions that are genuinely helpful and safe\, we need collaboration among AI researchers\, human rights practitioners\, domain experts\, and impacted communities.\n   \n   In this workshop\, we’ll explore the points of interaction between AI and human rights challenges\, and discuss how existing obstacles in human right solutions can inform new research directions in artificial intelligence. U(M) researchers will briefly present on current topics in AI and in human rights\, followed by table discussions with domain experts in both human right related issues and AI. You are encouraged to bring your own topics\, problems\, and innovations to share with the group.\n   \n   Discussion topics brought up in this workshop will be used as the basis for a whitepaper on the intersection of AI & Human Rights.\n   \n   Program\n   1:00-1:30 pm\n   Introduction (goals and directions) and Keynote Talk\n   \n   1:30-1:50 pm\n   Human Rights Talk\n   \n   1:50-1:55 pm\n   Q & A\n   \n   1:55-2:15 pm\n   AI Talk\n   \n   2:15-2:20 pm\n   Q & A\n   \n   2:20-2:25 pm\n   TBA\n   \n   2:25-2:40 pm\n   Break\n   \n   2:40-2:55 pm\n   Introduction to the Roundtable discussion format\n   \n   2:55-4:50 pm\n   Roundtables with 1 lead and 1 note-taker (7 tables)\n   \n   2:55-3:10 pm: (15 min) Brief introductions (“I am X\, from Dept Y\, I’m interested in the aspects of Z on Climate and/or AI”)\n   3:10-3:15 pm: (5 min) Individual thinking and notes on stickies for (i) Challenges that (could) intersect with AI\n   3:15-3:40 pm: (25 min) Group discussions\n   3:40-4:00 pm: (20 min) Report back\n   4:00-4:05 pm: (5 min) (ii) Potential Solutions\, e.g.\, conversation and user interviews to set up the -solution\, new task formulation for research\, dataset building\, and study design\n   4:05-4:30 pm: (25 min) Group discussions\n   4:30-4:50 pm: (20 min) Report back\n   With this roundtable conversations\, we aim to:\n   \n   (1) identify list of challenges and potential paths to solutions\n   \n   (2) facilitate new collaborations\n   \n   (3) work together on a white paper identifying a roadmap for this space (pending interest)\n   \n   4:50-5:00 pm\n   Wrap-up\n\nIf there is anything we can do to make this event accessible to you\, please contact us at umichhumanrights@umich.edu. Please be aware that advance notice is necessary as some accommodations may require more time for the university to arrange.
UID:149629-21906822@events.umich.edu
URL:https://events.umich.edu/event/149629
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Technology,human rights
LOCATION:Off Campus Location
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20260917T113638
DTSTART;TZID=America/Detroit:20260924T130000
DTEND;TZID=America/Detroit:20260924T142000
SUMMARY:Workshop / Seminar:Mediated Interference
DESCRIPTION:Randomized saturation experiments measure how outcomes respond to own treatment and to the proportion assigned treatment. When treatment changes social connections\, these comparisons do not reveal how much of the response operates through network changes. I propose a framework that decomposes the outcome difference between treated individuals and untreated individuals at different saturations into direct\, network-mediated\, treatment–network interaction\, and saturation-spillover components without imposing functional-form restrictions on potential outcomes. I give conditions under which these components can be identified leveraging pretreatment networks and covariates\, without estimating a network formation model. The main restriction\, baseline network sufficiency\, requires that network-formation factors contain no further information about the shocks governing outcomes at fixed treatment and exposure after conditioning on baseline characteristics. Under neighborhood stability and regularity conditions\, I propose an estimation procedure based on debiased machine learning without sample splitting that accommodates network dependence. I propose an inference procedure that conditions on realized saturations\, which is valid as cluster sizes grow while the number of clusters stays fixed. Reanalyzing an agronomy-training experiment in Rwanda\, I find a negative network-mediated effect on input use for untreated farmers and a positive treatment–network interaction\; these opposing effects reveal a network channel obscured by the small total effect and suggest that training changes how social connections shape the allocation of shared inputs.
UID:151818-21912224@events.umich.edu
URL:https://events.umich.edu/event/151818
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Econometrics,seminar,Economics
LOCATION:North Quad - 4300
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260920T052135
DTSTART;TZID=America/Detroit:20260924T130000
DTEND;TZID=America/Detroit:20260924T150000
SUMMARY:Conference / Symposium:Northwood (2026-2027) (Housing)
DESCRIPTION:
UID:149207-21912605@events.umich.edu
URL:https://events.umich.edu/event/149207
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Sessions
LOCATION:Northwood Community Center MPR (1000 McIntyre)
CONTACT:
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