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DTSTART:20070311T020000
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DTSTAMP:20261016T151859
DTSTART;TZID=America/Detroit:20261021T150000
DTEND;TZID=America/Detroit:20261021T160000
SUMMARY:Workshop / Seminar:From Passive Prompts to Active Agents: Transforming Campus Workflows with M-Connectors
DESCRIPTION:Move beyond static prompt-and-response AI. This hands-on workshop introduces M-Connectors—a Model Context Protocol (MCP) integration that connects U-M GPT directly to live campus systems\, external APIs\, and active data repositories. Discover how to transform GenAI into active agents capable of querying live data\, maintaining deep context\, and performing authorized tasks across tools like Canvas\, Google Workspace\, Slack\, and Zoom—all within U-M's secure enterprise privacy boundary.\n\nWhat You'll Learn\n\n--The MCP Advantage: How M-Connectors query live campus systems without custom code while preserving U-M enterprise data security.\n--Instructor Workflows: Automate Canvas readiness checks\, synthesize lecture transcripts into study guides\, generate 4-tier rubrics\, and draft personalized student reminders based on live gradebook data.\n--Administrative Workflows: Extract insights from Google Forms/Sheets\, summarize Zoom meetings and Slack threads into action items\, and query active Drive folders to draft communications.\n--The 15 Launch Connectors: Explore core connector capabilities across U-M GPT and Maizey to build your own custom productivity workflows.\n\nAudience: Students\, Instructors\, Staff\n\nRecommended Prerequisites:\nA or B:\nA. Introduction to GenAI: Unpacking Key Concepts (Mini Workshop)\nB. Generative AI Basics (Full Workshop)\nC or D:\nC. Critical Challenges in GenAI: Exploring Privacy\, Ethical Implications\, Integrity\, and Bias (Mini Workshop)\nD. Generative AI Basics (Full Workshop)\nE or F:\nE. From Basics to Brilliance: Prompt Engineering with U-M GPT (Mini Workshop)\nF. Generative AI with U-M GPT (Full Workshop)\n\nZoom join URL: https://umich.zoom.us/j/98888582214\n\nThis workshop is part of the new ITS Generative AI Mini-Workshop Series designed to offer a rich\, engaging experience in just 60 minutes per session. With an expanded range of topics\, these ten workshops are tailored to meet the varied interests and needs of instructors\, staff\, and students.\n\nParticipants will be able to earn new badges for participating in the series. Visit the ITS Generative AI Workshop Series page to learn more about the series.
UID:152718-21916324@events.umich.edu
URL:https://events.umich.edu/event/152718
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:M-connectors,Genai,Generative Ai,Mcp,U-m Gpt,Academic Technology At Michigan
LOCATION:Off Campus Location
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20261017T212120
DTSTART;TZID=America/Detroit:20261021T150000
DTEND;TZID=America/Detroit:20261021T170000
SUMMARY:Workshop / Seminar:James T. Neubacher Award Ceremony - 2026
DESCRIPTION:Join us for the award\npresentation for the 2026 James T. Neubacher Award. This event will be both in\nperson and over zoom\, feel free to register for both events so that you can\nreceive the zoom information.The award is presented\nto a faculty member\, staff member\, student\, or alum of the University for\nsignificant achievements in:• Empowering people\nwith disabilities.• Advocating for or\nadvancing disability rights or disability justice• Increasing the\naccessibility of programs and services to promote disability inclusion.The award is sponsored\nby the U-M Council for Disability Concerns\, Equity\, Civil Rights\, and Title IX\nOffice\, University Human Resources\, Michigan Medicine\, and the Office of the\nPresident.Student\nAccessibility and Accommodation Services will recognize U-M Adaptive Sports\n& Fitness (ASF) for its accomplishments over the past year\, including\nwinning the ITA National Championship\, two ASF coaches receiving national Coach\nof the Year honors\, and ASF’s work with Ann Arbor Public Schools through the\nAdaptive Sports & Inclusive Recreation Initiative (ASIRI)\, sponsored by the\nMichigan Health Endowment Fund. SAAS\nwill also recognize the 2025 recipient of the Adam S. Miller Staff and Faculty\nAward.CART and ASL will be\nprovided for this event. If you require any additional accommodations\, please\nlet us know.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nA reception will\nfollow the award ceremony for those who are able to attend in person.
UID:153345-21915676@events.umich.edu
URL:https://events.umich.edu/event/153345
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Sessions
LOCATION:
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20261017T212120
DTSTART;TZID=America/Detroit:20261021T150000
DTEND;TZID=America/Detroit:20261021T180000
SUMMARY:Workshop / Seminar:James T. Neubacher Award Ceremony - 2026
DESCRIPTION:Join us for the award\npresentation for the 2026 James T. Neubacher Award. This event will be both in\nperson and over zoom\, feel free to register for both events so that you can\nreceive the zoom information.The award is presented\nto a faculty member\, staff member\, student\, or alum of the University for\nsignificant achievements in:• Empowering people\nwith disabilities.• Advocating for or\nadvancing disability rights or disability justice• Increasing the\naccessibility of programs and services to promote disability inclusion.The award is sponsored\nby the U-M Council for Disability Concerns\, Equity\, Civil Rights\, and Title IX\nOffice\, University Human Resources\, Michigan Medicine\, and the Office of the\nPresident.Student\nAccessibility and Accommodation Services will recognize U-M Adaptive Sports\n& Fitness (ASF) for its accomplishments over the past year\, including\nwinning the ITA National Championship\, two ASF coaches receiving national Coach\nof the Year honors\, and ASF’s work with Ann Arbor Public Schools through the\nAdaptive Sports & Inclusive Recreation Initiative (ASIRI)\, sponsored by the\nMichigan Health Endowment Fund. SAAS\nwill also recognize the 2025 recipient of the Adam S. Miller Staff and Faculty\nAward.CART and ASL will be\nprovided for this event. If you require any additional accommodations\, please\nlet us know.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nA reception will\nfollow the award ceremony for those who are able to attend in person.
UID:153345-21915677@events.umich.edu
URL:https://events.umich.edu/event/153345
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Sessions
LOCATION:
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20261015T145608
DTSTART;TZID=America/Detroit:20261021T153000
DTEND;TZID=America/Detroit:20261021T165000
SUMMARY:Workshop / Seminar:Algebraic Geometry Seminar: From stability conditions to generalized Bogomolov-Gieseker inequalities
DESCRIPTION:The classical Bogomolov-Gieseker inequality provides a bound on the second Chern character of semistable sheaves\, which is an essential ingredient in the construction of stability conditions on surfaces. Generalizing this\, Bayer-Macrì-Toda proposed to use a conjectural ch_3 inequality for tilt stable objects to construct stability conditions on threefolds. This inequality found many applications ranging from counting invariants to linear series\, but people were only able to prove it in special cases.\n\nThe recent breakthrough of Chunyi Li provides a different route to construct stability conditions over any projective variety. In my talk\, I will recall this beautiful idea\, and explain that\, via an enhancement of Li’s construction together with some reverse-engineering\, we can produce a series of inequalities on any Chern characters for suitable objects on any variety\, with Bogomolov-Gieseker and Bayer-Macrì-Toda as the first two instances. This is based on joint work in progress with Chunyi Li\, Zhiyu Liu and Benjamin Sung.\n\nIf time permits\, I will also discuss a strengthen of this result for ch_3 inequality using Frobenius method\, based on joint work with Chunyi Li\, Zhiyu Liu and Alex Perry. Parts of these projects are AI-assisted\, which will be explained in the talk.
UID:146416-21899058@events.umich.edu
URL:https://events.umich.edu/event/146416
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Mathematics
LOCATION:East Hall
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20260908T151707
DTSTART;TZID=America/Detroit:20261021T160000
DTEND;TZID=America/Detroit:20261021T170000
SUMMARY:Social / Informal Gathering:German Convo on the Go
DESCRIPTION:Meet at Burton Tower for a 1-hour walk and talk in German with Mary Gell (magell@umich.edu). This event happens 'rain or shine.' Open to speakers of German at all levels.
UID:151752-21912122@events.umich.edu
URL:https://events.umich.edu/event/151752
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Language,Humanities,Germanic Languages And Literatures,German Studies,German,European
LOCATION:Burton Memorial Tower - Meet Outside the Tower
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20261015T101334
DTSTART;TZID=America/Detroit:20261021T160000
DTEND;TZID=America/Detroit:20261021T170000
SUMMARY:Lecture / Discussion:Probability and Analysis Seminar: Small Moments of the Sensitivity of Polynomial Threshold Functions
DESCRIPTION:Abstract: Polynomial threshold functions (PTFs) are a central class of Boolean functions with important roles in learning theory and approximation. A fundamental question is to understand the complexity of their behavior under small perturbations of the input. On the Boolean cube\, this is captured by notions such as sensitivity\, average sensitivity\, and Boolean surface area. In this talk\, we revisit a recursive approach used to derive bounds for the average sensitivity and Boolean surface area of PTFs and obtain a polylogarithmic bound for small moments of their sensitivity. We will also explore the interplay between Fourier expansion and induction on scales from harmonic analysis\, random averaging from probability\, and decision trees and regularization from combinatorics.
UID:153329-21915644@events.umich.edu
URL:https://events.umich.edu/event/153329
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Mathematics
LOCATION:East Hall - 4088
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20261006T181240
DTSTART;TZID=America/Detroit:20261021T160000
DTEND;TZID=America/Detroit:20261021T170000
SUMMARY:Workshop / Seminar:Stochastic Models and Optimization for Dynamic Portfolio Management: A Compartment Framework for Financial Growth and Decision Support
DESCRIPTION:Portfolio management is a dynamic decision-making problem characterized by uncertainty\, evolving asset states\, competing risk–return objectives\, and changing market conditions. This research develops an integrated stochastic and optimization framework for modelling financial growth and formulating investment policies by representing a portfolio as a dynamic compartmental system in which risky and non-risky assets undergo stochastic growth\, loss\, transformation\, and migration. Univariate and bivariate birth–death and migration processes\, together with Markov and hidden-state modelling perspectives\, are employed to characterize the probabilistic evolution and interactions of portfolio components.\n\nThe proposed framework systematically connects stochastic process modelling\, probability analysis\, statistical inference\, nonlinear optimization\, computational analysis\, and decision support. Difference and differential equations are developed to describe portfolio dynamics\, while probability-generating functions and moment-based methods are used to derive expectations\, variances\, covariances\, and related measures under transient and steady-state conditions. These statistical characteristics subsequently serve as inputs to stochastic optimization models that address alternative investment objectives\, including risk control\, volatility management\, portfolio diversification\, and the determination of appropriate investment policy parameters.\n\nComputational experimentation and sensitivity analysis are incorporated to examine the effects of growth\, loss\, and transformation parameters on portfolio behavior\, using real-world financial data to ground empirical exploration and model validation. The resulting framework provides a pathway from uncertainty modelling to quantitative risk assessment\, prescriptive optimization\, and intelligent decision support. The research is intended to stimulate interdisciplinary collaboration across Statistics\, Stochastic Processes\, Mathematical Finance\, Operations Research\, Optimization\, Data Science\, and Computational Modelling\, with potential applications in real-data validation\, software development\, joint publications\, and future research on scalable stochastic decision-support systems for contemporary financial management.
UID:153381-21915734@events.umich.edu
URL:https://events.umich.edu/event/153381
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Mathematics
LOCATION:East Hall - 1360
CONTACT:
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