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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:agriculture,vegetables,sustainable food systems,Sustainability,Health & Wellness,Food Justice,Food,Community,Climate Week
LOCATION:Ingalls Mall
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20260921T135300
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  \nRegistration 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\nLocation: DOW Event Space\, 4320 Leinweber Computer Science and Information Building (2200 Hayward Street Ann Arbor\, MI)\n\nPresenters/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\nKeynotes from:\n\nBridgette Carr (Clinical Professor of Law\; Co-director\, AI Law and Policy Clinic)\n\nChristian Schroeder de Witt (Associate Professor\, Oxford University)\n\nAI is increasingly shaping the way we address some of the world’s most pressing human rights challenges. While AI has the potential to uncover abuses\, expand access to critical services\, support crisis response\, and identify harmful patterns at scale\, it can also amplify surveillance\, bias\, disinformation\, and exclusion.\n\nTo build AI systems that are both effective and responsible\, collaboration across disciplines is essential.\n\nWe invite you to join the AI & Human Rights Workshop on September 24\, 2026\, where researchers\, human rights practitioners\, and domain experts will explore how advances in AI can help address human rights challenges\, and how these challenges can inspire new directions for AI research.\n\nThe workshop will feature brief presentations followed by interactive table discussions designed to foster collaboration across disciplines. Participants are encouraged to bring their own research questions\, ideas\, challenges\, and perspectives to the conversation.\n\nPresenters and facilitators include:\n\nRada Mihalcea\, Janice M. Jenkins Collegiate Professor of Computer Science and Engineering\; Director\, Michigan AI Lab\n\nPeter Railton\, Emeritus Gregory S. Kavka Distinguished University Professor\; John Stephenson Perrin Professor\; Arthur F. Thurnau Professor\, U-M Philosophy\n\nZhijing Jin\, Assistant Professor\, University of Toronto\; Research Scientist\, Max Planck Institute\nBridgette Carr\, Clinical Professor of Law\, Co-director\, AI Law and Policy Clinic\n\nChristian Schroeder de Witt\, Associate Professor\, University of Oxford\n\nThe ideas and discussions generated during the workshop will serve as the foundation for a white paper on the intersection of AI and Human Rights.\n\nThis workshop is co-sponsored by the Artificial Intelligence Lab\, Donia Human Rights Center and the International Institute.\n\nPlease register here: https://sessions.studentlife.umich.edu/track/event/session/111088 by September 10.\n\nProgram\n1:00-1:10 pm\nGoals and directions\n\nRada Mihalcea\, Michigan AI Laboratory\nSueann Caulfield\, Donia Center for Human Rights\n\n1:10-1:30 pm\n\nPeter Railton (University of Michigan): Human Rights in a Hybrid World\n\n1:30-1:50 pm\nChristian Schroeder (Oxford University): AI for Accountability: Not All Errors Are Equal\n\n1:50-2:10 pm\nBridgette Carr (University of Michigan): Nobody Was Looking: Debt\, Coercion\, and What AI Changes\n\n2:10-2:30 pm\nZhijing Jin (University of Toronto): Synergizing Human Rights Protection with Rigorous AI Evaluation\n\n2:30-2:50 pm\nSusan Perry (American University of Paris\, UNESCO Chair in AI & Human Rights): Turning AI on Its Head\n\n2:50-3:00 pm\nCoffee Break\n\n3:00-4:25 pm\nRoundtables with one lead and one note-taker (5 tables)\n\n3:00-3:10 pm: Introduction to the Roundtable discussion format\n3:10-3:15 pm: (5 min) Brief introductions (“I am X\, from Dept. Y\, I’m interested in the aspects of Z on Human Rights and/or AI”)\n3:15-3:20 pm: (5 min) Individual thinking and notes on stickies for (i) Challenges that (could) intersect with AI\n3:20-3:50 pm: (30 min) Group discussions\n3:50-3:55 pm: (5 min) Individual thinking and notes on stickies for (ii) Potential AI Solutions on problems identified\n3:55 pm-4:25 pm: (30 min) Group discussions\n4:25-4:50 pm: (5 min / table) Report back\n\n4:50-5:00 pm\nWrap-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:seminar,Economics,Econometrics
LOCATION:North Quad - 4300
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20260910T181716
DTSTART;TZID=America/Detroit:20260924T132000
DTEND;TZID=America/Detroit:20260924T135000
SUMMARY:Performance:Lon Mitchell\, carillon
DESCRIPTION:Lon Mitchell performs on the Ann & Robert H. Lurie Carillon\, an instrument of 60 bells with the lowest bell (bourdon) weighing 6 tons.\n\nThirty-minute recitals are performed on the Lurie Carillon every weekday that classes are in session. During these recitals\, visitors may take the elevator to level 2 to view the largest bells\, or to level 3 to see the carillonist performing. (Visitors subject to acrophobia are recommended to visit level 2 only.) An optional spiral stairway between levels 2 and 3 allows for up-close views of some of the largest bells.
UID:151949-21912498@events.umich.edu
URL:https://events.umich.edu/event/151949
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:North Campus,Free,Concert
LOCATION:Lurie Ann & Robert H. Tower
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20260812T110800
DTSTART;TZID=America/Detroit:20260924T133000
DTEND;TZID=America/Detroit:20260924T143000
SUMMARY:Lecture / Discussion:ChE SEMINAR: Wenjun Zhang\, University of California\, Berkeley
DESCRIPTION:A reception with light refreshments will be held in the B10 lobby before each seminar from 1-1:30 p.m.\n\n*Abstract:*\nNatural products remain at the forefront of chemical biology\, offering both therapeutic potential and unique chemical insights. This seminar details our group’s approach to expanding the natural product landscape: from the discovery of molecules in complex ecological niches to the elucidation of rare enzymatic mechanisms. The first portion of the talk will focus on the human oral microbiome\, an underexplored reservoir of chemical diversity. I will discuss our efforts in mining for bioactive small molecules\, focusing on their role in defining the \"socio-chemical\" landscape of oral health and disease. The second half will transition into the biosynthetic logic governing unique scaffolds and functionalities of natural products. By elucidating the enzymatic machinery involved\, specifically our recent discovery and characterization of rare N-N bond-forming enzymes\, we demonstrate how understanding nature's synthetic strategies enables the production of novel analogs via synthetic biology and expands the modern biocatalytic toolkit.
UID:150175-21908320@events.umich.edu
URL:https://events.umich.edu/event/150175
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:graduate students,chemical engineering,seminar
LOCATION:North Campus Research Complex Building 10 - Auditorium
CONTACT:
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