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DTSTAMP:20260917T151354
DTSTART;TZID=America/Detroit:20261001T150000
DTEND;TZID=America/Detroit:20261001T160000
SUMMARY:Other:Grants office hours: Get support applying for one of SSC's Sustainability Grants!
DESCRIPTION:Drop in to our weekly open office hours to learn and get support applying to our Planet Blue Student Innovation Fund (PBSIF) or Social and Environmental Sustainability Grant (SES).
UID:138848-21913642@events.umich.edu
URL:https://events.umich.edu/event/138848
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Environment,Social Impact,Student Org,Sustainability
LOCATION:Off Campus Location - https://umich.zoom.us/my/meetingjunem
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20260910T134907
DTSTART;TZID=America/Detroit:20261001T150000
DTEND;TZID=America/Detroit:20261001T170000
SUMMARY:Social / Informal Gathering:Hopwood Tea
DESCRIPTION:Enjoy coffee\, tea\, and refreshments in a beautiful\, book-filled space. Check out a book from the Hopwood library or engage with other readers and writers. All are welcome.
UID:148903-21905157@events.umich.edu
URL:https://events.umich.edu/event/148903
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Free,Literature,Literary Arts,Hopwood Program,Graduate Students,Undergraduate Students,Food,English Language And Literature,Creative Writing,Books,Ann Arbor,Writing,Well-being,The Helen Zell Writers' Program
LOCATION:Angell Hall - 1176 (Hopwood Room)
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20260928T160001
DTSTART;TZID=America/Detroit:20261001T153000
DTEND;TZID=America/Detroit:20261001T163000
SUMMARY:Conference / Symposium:Astronomy Colloquium | AI Discovery in Physics and Astronomy
DESCRIPTION:AI may change how science answers its hardest open questions\, and even which questions it asks. Today's vast datasets hold physical information we do not yet know how to look for\, and AI offers a way to search for the unexpected. To trust AI discoveries\, we need to judge models by whether they obey the laws of physics. How convincing their outputs look is not enough. In this talk I will discuss the promise and challenges of cutting-\nedge AI for science\, and how to define and build physical realism into our models. I will present recent progress\non physical\, probabilistic\, and generative models for astronomy. I will also show where classical physics\nmodels\, machine learning\, and agentic AI each reach their limits.
UID:153007-21914910@events.umich.edu
URL:https://events.umich.edu/event/153007
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Physics,Colloquium Series,Colloquium,astrophysics,Astronomy,Talk
LOCATION:West Hall - 411
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20260909T145134
DTSTART;TZID=America/Detroit:20261001T153000
DTEND;TZID=America/Detroit:20261001T163000
SUMMARY:Workshop / Seminar:IES Energy Seminar Series - Prioritization of technology development and scale-up pathways for sustainable (bio)energy systems
DESCRIPTION:Abstract:\nThe pursuit of clean\, equitable\, renewable fuels has become a catalyst for research and development. Yet a critical challenge in transitioning fuel supply chains is the vast landscape of possible technology development pathways and the lack of transparent\, consistent frameworks to target research and investment. This presentation will introduce quantitative sustainable design (QSD)\, a framework for prioritizing research\, development\, and deployment pathways for emerging technologies. QSD integrates process design and simulation\, techno-economic analysis\, and life cycle assessment under uncertainty to identify the factors governing sustainability\, quantify performance gaps\, establish actionable research targets\, and guide technology and system design. Examples from the Center for Advanced Bioenergy and Bioproducts Innovation will illustrate how QSD can inform the conversion of perennial grasses (including Miscanthus\, switchgrass\, and sugarcane) and agricultural residues into biofuels and bioproducts\, with particular attention to sustainable aviation fuel. By connecting process-scale analyses with broader infrastructure and spatial models\, we also evaluate where and how these technologies could be deployed\, including opportunities to integrate low-carbon fuel production with existing infrastructure and strategically site bioenergy facilities. Together\, these examples demonstrate how transparent\, systems-level analysis can direct innovation and investment toward energy solutions that are technically feasible\, financially viable\, environmentally beneficial\, and responsive to broader societal goals.\n\nBiography:\nDr. Jeremy Guest is the Department Head and David C. Crawford Faculty Scholar in the Department of Civil & Environmental Engineering at the University of Illinois Urbana-Champaign. He also holds an appointment (by courtesy) as a Professor in the Department of Chemical and Biomolecular Engineering. The core goal of Professor Guest’s research group is to advance circular bioeconomies for a more sustainable and just future. His team supports this vision by developing computational models to prioritize research\, development\, and deployment pathways for new technologies that achieve resource recovery from wastewaters and the conversion of plants to products\, food\, and fuels. Professor Guest’s formal training includes a B.S. and M.S. in civil engineering from Bucknell University and Virginia Tech\, respectively\, and a Ph.D. in environmental engineering from the University of Michigan.\n\nFor the most up to date information on the location\, please check the related link the week of this event
UID:147944-21902579@events.umich.edu
URL:https://events.umich.edu/event/147944
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Industrial and Operations Engineering,Nuclear Engineering and Radiological Sciences,North Campus,Naval Architecture and Marine Engineering,Michigan Engineering,Mechanical Engineering,Materials Science,Law,Interdisciplinary,Social Sciences,Free,Environment,Engineering,Energy,Electrical Engineering and Computer Science,Civil and Environmental Engineering,CAEN,Sustainability,seminar,Science,Research
LOCATION:Francois-Xavier Bagnoud Building - FXB1012
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20260908T113003
DTSTART;TZID=America/Detroit:20261001T160000
DTEND;TZID=America/Detroit:20261001T170000
SUMMARY:Workshop / Seminar:EEB Thursday Seminar Series - Enhancing biological datasets using artificial intelligence
DESCRIPTION:Seminar summary - Biological data have expanded in breadth and depth over the last decade\, leading to larger datasets that hold the potential to answer questions at greater resolution. Despite this growth\, some datasets remain inherently limited\; including many derived from specimens from natural history collections. In this talk\, Bryan Carstens will discuss the potential of Artificial Intelligence approaches to improve biological datasets. One example describes the application of transfer learning to improve the genomic data collected from specimens where the sampling is inherently limited\, such as from extinct species. A second describes the use of neutral networks to automate pseudo-landmarks in three dimensional geometric morphometrics. Taken together\, this work suggests that AI has the potential to enhance biological data\, leading to increased inferential capabilities.
UID:151542-21911709@events.umich.edu
URL:https://events.umich.edu/event/151542
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Research,Ecology And Evolutionary Biology,eeb,Environment,Lecture,seminar,Workshop
LOCATION:Biological Sciences Building - 1060
CONTACT:
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