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DTSTAMP:20260814T124553
DTSTART;TZID=America/Detroit:20260917T130000
DTEND;TZID=America/Detroit:20260917T143000
SUMMARY:Workshop / Seminar:Claude Code for R Users: Getting Started with Agentic Coding
DESCRIPTION:Tutorial Overview\n Many scientists use AI coding tools through a browser — copying and pasting between chat and editor. Agentic tools like Claude Code work differently: they run on your machine\, read your project\, execute your code\, and iterate on errors. This hands-on tutorial covers the pros and cons of using a coding agent and how to begin using Claude Code as an R programmer. We’ll look at potential use cases of coding agents for data analysis\, improving code reproducibility\, and tightening the loop between code outputs and manuscript writing.\n\nHands-on activities: Optionally\, if you’d like to participate in hands-on exercises in the session\, you may wish to purchase a Claude Code plan ($20 for a month of access) and have Claude installed on your computer. However\, you may also come without doing this\, or with a different agent (like OpenAI’s Codex or an open-source tool of your choice)\n\nReminder: All attendees\, please bring a laptop.
UID:150260-21908494@events.umich.edu
URL:https://events.umich.edu/event/150260
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Workshop,Academic Technology At Michigan,Coding,Genai,Information and Technology,school of information
LOCATION:
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20260803T121255
DTSTART;TZID=America/Detroit:20261005T090000
DTEND;TZID=America/Detroit:20261005T170000
SUMMARY:Conference / Symposium:AI and Mental Health Conference
DESCRIPTION:AI is already changing how people seek help\, understand ourselves\, form relationships\, and receive care. Young people are turning to AI companions. Patients are using chatbots before they reach a clinician. Doctors are using AI-generated information in diagnosis\, treatment\, and crisis response. Families\, schools\, health systems\, and communities are trying to understand what is helpful\, what is harmful\, and what should never be left to machines.\n\nThe AI and Mental Health conference brings together our communities with leaders from academia\, healthcare\, industry\, and government to explore these challenges and opportunities. Hosted by the Michigan Institute for Data and AI in Society (MIDAS) and university partners\, the conference will foster meaningful dialogue\, spark new collaborations and accelerate responsible\, human-centered AI innovation.\n\nMore than a conference\, this event is a call to action. The ideas\, perspectives and recommendations generated throughout the event will help shape future research directions\, community engagement strategies and policy considerations\, creating a lasting resource for researchers\, practitioners\, decision-makers and communities working at the intersection of AI and mental health.
UID:149757-21907063@events.umich.edu
URL:https://events.umich.edu/event/149757
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Networking,Academic Technology At Michigan,Psychiatry,Psychology,Public Health,Public Policy,Research,symposium,Talk,Well-being,Wellness,Community Engagement,Generative Ai,Genai,Free,Community Service,Mindfulness,Artificial Intelligence,Ai Literacy,Ai,Health & Wellness,Mental Health,Information and Technology,In Person,Healthcare,health care policy,Health Care
LOCATION:Michigan Union - Rogel Ballroom
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20260814T125611
DTSTART;TZID=America/Detroit:20261008T130000
DTEND;TZID=America/Detroit:20261008T143000
SUMMARY:Workshop / Seminar:Data Accessibility
DESCRIPTION:Tutorial Overview\nFocus: Using AI to improve access to\, understanding of\, and readiness for working with data.\n\nThis session would focus on helping researchers navigate the early stages of working with data\, especially when datasets are large\, complex\, poorly documented\, or unfamiliar. AI can assist with interpreting data dictionaries\, summarizing metadata\, identifying missing documentation\, and making datasets more approachable for new users.\n\nPossible hands-on activities:\n\nSummarize a dataset description or codebook into plain language\nGenerate a checklist for evaluating whether a dataset is usable for a project\nIdentify likely data limitations or missing documentation\nDraft questions to ask a data provider or collaborator\nUse AI to map dataset fields to possible research questions\nReminder: All attendees\, please bring a laptop.
UID:150270-21908495@events.umich.edu
URL:https://events.umich.edu/event/150270
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Data Management,Data Science,Genai,information,school of information,Data Analysis,data,Artificial Intelligence,Ai Literacy,Academic Technology At Michigan
LOCATION:
CONTACT:
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