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DTSTAMP:20261022T150756
DTSTART;TZID=America/Detroit:20261103T120000
DTEND;TZID=America/Detroit:20261103T130000
SUMMARY:Workshop / Seminar:EEB Tuesday Seminar Series - Multi-environment fitness landscapes suggest effectively endless adaptation
DESCRIPTION:Seminar Summary - The number of beneficial substitutions (N) required for an adapting population to reach a fitness peak is a fundamental but unknown parameter of evolution. We find that N increases linearly with the number of variable sites in empirical fitness landscapes\, regardless of prior adaptation in another environment. Extrapolation suggests a minimal N of 10⁵ for typical prokaryotes and 10⁷ for mammals. In contrast\, in highly rugged shuffled landscapes\, N is markedly reduced\, while fitness gains also shrink. The relatively smooth empirical landscapes therefore enable greater fitness gains while lengthening adaptive walks\, rendering even local fitness peaks effectively unreachable because natural environments inevitably change. These results explain the persistence of fitness gains in long-term evolution experiments under constant environments and the widespread occurrence of beneficial mutations across species. They suggest that populations continuously adapt while remaining far from fitness optima\, challenging the long-held view that adaptation culminates at fitness peaks.
UID:153995-21917003@events.umich.edu
URL:https://events.umich.edu/event/153995
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Workshop,Professional Development,Research,Science,seminar,Talk
LOCATION:Biological Sciences Building - 3150
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20261016T151859
DTSTART;TZID=America/Detroit:20261103T120000
DTEND;TZID=America/Detroit:20261103T130000
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:152718-21916325@events.umich.edu
URL:https://events.umich.edu/event/152718
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Mcp,U-m Gpt,Generative Ai,Academic Technology At Michigan,Genai,M-connectors
LOCATION:Off Campus Location
CONTACT:
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