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DTSTART:20070311T020000
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DTSTAMP:20261030T052059
DTSTART;TZID=America/Detroit:20261105T130000
DTEND;TZID=America/Detroit:20261105T140000
SUMMARY:Workshop / Seminar:Student Life Coaching Circles
DESCRIPTION:Join us for our annual Coaching Cirlces!  Each coaching session will provide 8-10 staff members with an opportunity to interact informally with a Student Life Unit Director (or leader) around a leadership topic of interest to them. These are informal conversations (rather than workshops or presentations) between staff and these leaders who have experience with and willingness to share their wisdom around these topics.Staff are asked to register for no more than one coaching circle a semester. Space is very limited\, register today!
UID:152716-21914419@events.umich.edu
URL:https://events.umich.edu/event/152716
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Sessions
LOCATION:Michigan Union Welker Room
CONTACT:
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DTSTAMP:20260916T121745
DTSTART;TZID=America/Detroit:20261105T132000
DTEND;TZID=America/Detroit:20261105T135000
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:152268-21913463@events.umich.edu
URL:https://events.umich.edu/event/152268
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:North Campus,Free,Concert
LOCATION:Lurie Ann & Robert H. Tower
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20261022T100939
DTSTART;TZID=America/Detroit:20261105T133000
DTEND;TZID=America/Detroit:20261105T143000
SUMMARY:Workshop / Seminar:ChE SEMINAR: Alexander Dowling\, Notre Dame University
DESCRIPTION:Abstract: \n\nLaboratory and computational experiments are often time- and resource-intensive\; thus\, maximizing their value and information gain is essential. This seminar explores several paradigms for optimal experiment design. We will start by reviewing classical design of experiments methods and modern approaches such as Bayesian optimization. These approaches do not require mechanistic models and can be effective for relatively few experimental decisions\, but high-dimensional decision spaces (e.g.\, time-varying experimental conditions) pose significant challenges.\nThe seminar focuses on methods that exploit mathematical models grounded in engineering science to formulate experiment design as a dynamic optimization problem that maximizes expected information. Using membrane separations for critical minerals and materials recovery as a central application\, I will show how mechanistic models\, parameter estimation\, and uncertainty quantification connect laboratory measurements to predictive models and process design. I will highlight recent advances in Pyomo.DoE\, an open-source package for model-based design of experiments (MBDoE)\, developed by my group in collaboration with Sandia National Laboratories and others. Finally\, I will introduce DoE-GPT\, our emerging collection of agentic workflows that augment large language models to guide scientists and engineers through statistical analysis and experimental planning. Throughout the seminar\, I will discuss practical lessons for choosing informative experiments\, validating assumptions\, and translating data into defensible engineering decisions. I will conclude with opportunities for experiment automation\, e.g.\, self-driving labs\, grounded in engineering science and mechanistic models.\nSelect References\nWang and Dowling. “Bayesian optimization for chemical products and functional materials.” Current Opinion in Chemical Engineering\, 2022\, 36\, 100728. https://doi.org/10.1016/j.coche.2021.100728\nWang and Dowling. “Pyomo.DoE: An Open-Source Package for Model-Based Design of Experiments in Python.” AIChE Journal\, 2022\, 68(12)\, e17813. https://doi.org/10.1002/aic.17813\nLaky et al. “Optimal Experimental Design Using Eigenvalue-Based Criteria with Pyomo.DoE.” Digital Discovery\, 2026. https://doi.org/10.1039/D6DD00160B\nWamble et al. “Optimal Diafiltration Membrane Cascades Enable Green Recycling of Spent Lithium-Ion Batteries.” ACS Sustainable Chemistry & Engineering\, 2022\, 10\, 12207–12225. https://doi.org/10.1021/acssuschemeng.2c02862\nLiu et al. “Characterizing Transport Properties of Surface Charged Nanofiltration Membranes via Model-Based Data Analytics.” Industrial & Engineering Chemistry Research\, 2025\, 64\, 12111–12130. https://doi.org/10.1021/acs.iecr.4c04763\nLiu et al. “Optimization of Reactive Ink Formulation for Controlled Additive Manufacturing of Copolymer Membrane Functionalization.” ACS Applied Materials & Interfaces\, 2024\, 16\, 59216–59233. https://doi.org/10.1021/acsami.4c11749\nYao et al. “Robust Optimization of Flexible Diafiltration Systems for Critical Mineral Separations.” Chemical Engineering Journal Advances\, 2026\, 27\, 101282. https://doi.org/10.1016/j.ceja.2026.101282\n\n\nBio: \n\nAlexander (Alex) Dowling is the Tony and Sarah Earley Collegiate Associate Professor of Energy and the Environment at the University of Notre Dame (Indiana\, USA). His research combines chemical engineering\, computational optimization\, machine learning\, and data science\, organized in three research themes: (1) molecular-to-systems (multiscale) modeling and optimization\, (2) optimal design of experiments and statistical inference\, and (3) machine learning for bridging timescales.\nApplication domains span sustainable energy\, environmental management\, and systems biology. Prof. Dowling has been recognized with several awards\, including the NSF CAREER award\, the CAST Outstanding Young Researcher Award\, the Junior Sargent Medal\, and the James A. Burns\, C.S.C.\, Award. He holds a B.S.E. from the University of Michigan - Ann Arbor and a Ph.D. from Carnegie Mellon University\, all in chemical engineering.
UID:153960-21916843@events.umich.edu
URL:https://events.umich.edu/event/153960
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Free,chemical engineering,Alumni
LOCATION:North Campus Research Complex Building 10 - B10 Auditorium
CONTACT:
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DTSTAMP:20260922T160442
DTSTART;TZID=America/Detroit:20261105T140000
DTEND;TZID=America/Detroit:20261105T153000
SUMMARY:Workshop / Seminar:Affirmative Action and Racial Integration
DESCRIPTION:CID Speaker Series\n\nJoin the Stone Center for Inequality Dynamics as we host Zachary Bleemer\, assistant professor of economics in Princeton University’s Industrial Relations Section. This event is jointly presented with U-M Economics – Labor Economics Seminar.\n\nAbstract: Does exposure to diverse college peers cause long-run racial integration? The study examines California Proposition 209\, which halved Black and Hispanic enrollment at many undergraduate and graduate University of California schools and improved cross-race academic match at others. Combining time-series and difference-in-differences designs with linked administrative data\, survey responses\, and complementary evidence from the UC Berkeley freshman housing lottery\, it assesses how affirmative action and interracial contact affect later-life social\, political\, and economic integration.\n\nZach Bleemer is an assistant professor of economics at Princeton University in the Industrial Relations Section and a faculty research fellow at the National Bureau of Economic Research. He is a labor economist who studies American higher education.\n\nPlease RSVP via the event page to save your seat.
UID:152663-21914353@events.umich.edu
URL:https://events.umich.edu/event/152663
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Education,Research,Inequality,Labor,Race,Social Sciences,Economics
LOCATION:Institute For Social Research - 6050 Large Conference Room
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20261009T101837
DTSTART;TZID=America/Detroit:20261105T140000
DTEND;TZID=America/Detroit:20261105T160000
SUMMARY:Social / Informal Gathering:First Gen Students Coffee Hour
DESCRIPTION:Calling all First Gen students! During this First Gen Student Week 2026\, come grab a treat and get to know us at the Center for the Education of Women+.
UID:153256-21915539@events.umich.edu
URL:https://events.umich.edu/event/153256
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Firstgenweek2026,graduate students,first-generation,First Gen Week 2026,Undergraduate Students,Undergraduate,Social,Nontraditional Students,In Person,Graduate,free,Graduate and Professional Students,Graduate Professional Student Life
LOCATION:Center for the Education of Women
CONTACT:
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DTSTAMP:20260903T143327
DTSTART;TZID=America/Detroit:20261105T140000
DTEND;TZID=America/Detroit:20261105T170000
SUMMARY:Careers / Jobs:Rock the Mock: First Round Interviews
DESCRIPTION:Power Up your Resume\n\nInterview jitters? The LSA Opportunity Hub is here to help. Participate in a mock interview with an employer representative to build up the confidence you need to nail your next interview! This is your chance to practice your interviewing skills and get real-time feedback from employers\, ahead of the recruiting season. Emerge from this session with the skills you need to rock any interview!\n\n \n\nCompanies will attend both virtually and in-person. All interviews will be held in the LSA 1st Floor interview rooms with virtual employers cast onto the screens - students are required to show up in-person.\n\n \n\nRSVP NOW to reserve your spot as capacity is limited.\n\n \n\nYou should attend this Employer Connection if you are:\n\n \n\nAn LSA student in any year\n\nAn LSA student looking for extra interview practice and preparing for recruiting season\n\nEager to demystify and excel in behavioral interviews\n\nMeet with real life industry professionals to gain insight on what questions they ask\, what answers they look for\, and how to keep cool under pressure\n\n \n\nWhat you’ll gain by attending:\n\n \n\nGain practical experience to confidently navigate the interview process\n\nGet insights on how to effectively communicate your experiences and skills in a high-pressure interview setting\n\nReceive real time feedback and assistance from actual industry recruiters on your interview skills\n\n \n\nThe LSA Opportunity Hub aims to deliver inclusive and accessible experiences for all students. This event is on the first floor of a wheelchair-accessible building\, including wheelchair-accessible restrooms on the first floor\, a gender-inclusive and accessible restroom on the first floor\, places to sit or stand during the event\, and accessible parking options nearby on Maynard Street. Ramps are located at the East entrance (from State St.) and the Northwest entrance (from Maynard). Power doors are located at the Northwest entrance. We will be using microphones for all speakers and participant questions and automated closed captions (although imperfect) will be generated through google slides which also include alt text for screen readers. To request additional accommodations\, please contact LSA Hub Events at lsa.hubevents@umich.edu.
UID:151534-21911702@events.umich.edu
URL:https://events.umich.edu/event/151534
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Career,Grad School,Professional Development,Lsa Opportunity Hub,Interview,Graduate School
LOCATION:LSA Building - First Floor Interview Rooms
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20260913T221408
DTSTART;TZID=America/Detroit:20261105T143000
DTEND;TZID=America/Detroit:20261105T153000
SUMMARY:Social / Informal Gathering:ClariTEA: Informal Undergraduate Advising Event
DESCRIPTION:ClariTEA is a weekly informal\, drop-in advising event where Robotics and Interested Undergraduate students meet with Robotics Undergraduate Academic Advisors. Refreshments and TEA are offered at each meeting.\n\nJoin us in having a conversation with the Robotics Undergraduate community.
UID:152068-21912792@events.umich.edu
URL:https://events.umich.edu/event/152068
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Engineering,Michigan Robotics,Robotics,Undergraduate
LOCATION:Ford Robotics Building - Atrium
CONTACT:
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