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DTSTART:20070311T020000
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BEGIN:VEVENT
DTSTAMP:20260107T120504
DTSTART;TZID=America/Detroit:20260511T110000
DTEND;TZID=America/Detroit:20260511T120000
SUMMARY:Lecture / Discussion:Human Genetics Research Seminar Series
DESCRIPTION:Monday\, May 11\, 2026\n11:00am - 12:00pm\n1020 Kahn Auditorium\, BSRB\n\nTony Capra\, PhD\nProfessor\nBakar Computational Health Sciences Institute\nDepartment of Epidemiology and Biostatistics\nUniversity of California\, San Francisco\n“Seminar Title TBD”\n\nHosted By: Xinjun Zhang\, PhD\, Department of Human Genetics\n___\nWe use the tools of computer science and statistics to address problems in genetics\, evolution\, and biomedicine. For a summary of our major research foci\, see Research.\n\nOur group is located in the Bakar Computational Health Sciences Institute and the Department of Epidemiology and Biostatistics at the University of California\, San Francisco. Prior to coming to UCSF\, Tony spent 7 wonderful years at Vanderbilt University.\n\nHumans differ from one another and our closest living relatives\, the chimpanzees\, in a wide range of traits\, including our susceptibility to many diseases. We model the evolutionary processes that have produced these novel traits and develop algorithms that compare genomes to predict the functional relevance of specific genetic differences between individuals and species.
UID:143393-21893074@events.umich.edu
URL:https://events.umich.edu/event/143393
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Information and Technology
LOCATION:Taubman Biomedical Science Research Building - 1020 Kahn Auditorium
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260508T091859
DTSTART;TZID=America/Detroit:20260512T093000
DTEND;TZID=America/Detroit:20260512T103000
SUMMARY:Workshop / Seminar:SCSAP Special Research Seminar
DESCRIPTION:SCSAP Special Research Seminar\nDate: Tuesday\, May 12th\, 2026\nTime: 9:30-10:30 AM EST\nLocation: Virtual ONLY\n\nTITLE: Working toward cancer care in 2030 : AI+X for Precision Medicine 2.0\, Population Health\, Aging and Global Health Impact\n\nFEATURING: Joe Poh Sheng YEONG\, MBBS\, PhD\, FRCPath\, IMCB (A*STAR) and Singapore General Hospital\n\nCancer clinical trials face major recruitment challenges\, with delays in patient matching contributing to high failure rates and billions in annual losses. Immune profiling technologies such as immunohistochemistry (IHC) and multiplex IHC are essential for biomarker discovery and precision oncology\, but their widespread use is limited by cost\, tissue scarcity\, and labor-intensive workflows.\n\nIn this talk\, I will discuss how AI-driven spatial biology approaches\, including our H&E 2.0 platform\, can accelerate patient triage and biomarker screening for clinical trial recruitment. As combination immunotherapies and antibody-drug conjugates expand\, scalable and cost-effective biomarker testing is becoming increasingly important for drug development and clinical decision-making.\nI will also highlight advances in spatial proteogenomics from our recent Nature cover study (April 2025)\, demonstrating how integrated spatial proteomics\, genomics\, and transcriptomics can reveal tumor heterogeneity\, immune interactions\, and noncanonical “dark” proteins involved in cancer progression. By combining AI with longitudinal population-scale data\, we developed predictive models capable of forecasting critical illness years in advance.\n\nFinally\, I will introduce an AI-powered “pseudo-time” framework aimed at supporting more timely\, accessible\, and value-based precision medicine worldwide.
UID:148170-21903180@events.umich.edu
URL:https://events.umich.edu/event/148170
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Information and Technology
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260406T155723
DTSTART;TZID=America/Detroit:20260512T130000
DTEND;TZID=America/Detroit:20260512T140000
SUMMARY:Presentation:Effectiveness of Inductive Vehicle Charging to Alleviate EV Range Anxiety
DESCRIPTION:This project evaluates the efficacy\, optimal placement\, and economic viability of inductive vehicle charging (IVC) technology. Using literature review\, stakeholder engagement\, and rigorous mathematical modeling\, we developed a comprehensive framework to identify high impact use cases for this emerging technology. The findings suggest that IVC is not a universal solution\, but a targeted tool within a rapidly evolving electrification landscape. It may serve as a bridging technology or a specialized solution for high utilization fleets\, rather than a permanent requirement for all electric mobility.\n---\nAbout the speaker: Sina Bahrami is an Assistant Research Scientist in the Department of Civil and Environmental Engineering at the University of Michigan. He earned his Ph.D. in Civil Engineering from the University of Toronto in 2019. His research develops optimization and decision-support tools for emerging mobility systems in smart cities\, with a focus on electric and automated vehicles. He has published 18 articles in leading transportation journals and his work has been featured in outlets such as Forbes and Popular Science.
UID:147463-21901073@events.umich.edu
URL:https://events.umich.edu/event/147463
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Information and Technology
LOCATION:Transportation Research Institute - Collaborative Meeting Space (Room 139)
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260107T120515
DTSTART;TZID=America/Detroit:20260518T110000
DTEND;TZID=America/Detroit:20260518T120000
SUMMARY:Lecture / Discussion:Human Genetics Research Seminar Series
DESCRIPTION:Monday\, May 18\, 2026\n11:00am - 12:00pm\n1020 Kahn Auditorium\, BSRB\n\nArneet Saltzman\, PhD\nAssistant Professor\nDepartment of Cell & Systems Biology\nUniversity of Toronto\n“Seminar Title TBD”\n\nHosted By: Stephanie Bielas\, PhD\, Department of Human Genetics\n___\nMost of the cells in an organism share the same genome sequence\, yet they are able to carry out many distinct functions. Along with other layers of gene regulation\, chromatin modification plays a key role in this cellular specialization. Our research focuses on histone modifications such as lysine methylation\, and the proteins that recognize these modifications\, which are often referred to as chromatin ‘readers’. Chromatin readers can recruit and act as part of diverse chromatin modifying protein complexes to mediate the silencing of many genes with important functions in cell proliferation and differentiation. We will use a combination of genetic\, biochemical and genome-wide sequencing approaches to investigate the striking regulatory complexity of chromatin readers. Our research will contribute to a better understanding of how cells acquire and maintain different fates during development\, how chromatin readers contribute to epigenetic inheritance\, and how aberrant regulation of histone methylation contributes to the pathogenesis of several human diseases\, including cancers.
UID:143394-21893073@events.umich.edu
URL:https://events.umich.edu/event/143394
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Information and Technology
LOCATION:Taubman Biomedical Science Research Building - 1020 Kahn Auditorium
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260518T092846
DTSTART;TZID=America/Detroit:20260520T180000
DTEND;TZID=America/Detroit:20260520T190000
SUMMARY:Livestream / Virtual:ALUM 101: From the Campus to the World: How U-M Innovations Are Changing Lives
DESCRIPTION:Our third course\, ALUM 101: From the Campus to the World: How U-M Innovations Are Changing Lives\, continues the series with a deep dive into breakthroughs\, from life-saving cancer treatments to the future of athletic performance. You will get a front-row seat to the ideas\, people\, and partnerships behind Michigan innovation.\n\nDeveloped in partnership with Innovation Partnerships\, this four-part mini-course will explore how discoveries move from campus to real-world impact\, featuring topics such as HistoSonics ultrasound technology\, KOMZIFTI therapeutics\, OLED screen displays\, and GripFusion’s ForceBall.\n\nEach 60-minute virtual lecture includes a Q&A\, allowing you to learn alongside fellow Wolverines. Classes take place on Wednesdays at 6 p.m.\, beginning May 20 and concluding with an optional in-person field trip.
UID:147843-21902034@events.umich.edu
URL:https://events.umich.edu/event/147843
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Information and Technology
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260107T102207
DTSTART;TZID=America/Detroit:20260522T120000
DTEND;TZID=America/Detroit:20260522T150000
SUMMARY:Conference / Symposium:James V. Neel\, MD\, PhD Lecture in Human Genetics & Award
DESCRIPTION:Join us as Eric S. Lander\, PhD\, Professor of Biology & Professor of Systems Biology at Harvard Medical School and Founding Director Emeritus at the Broad Institute of MIT\, presents their research at The Department of Human Genetics 25th Annual James V. Neel Lecture.  We will have presentations from our student awardees\, a poster session\, and a light reception. \n\n12:00-2:00 Award Presentations & Keynote Seminar | 1020 Kahn Auditorium\, BSRB\n2:00-3:00 Reception & Poster Session | ABC Seminar Rooms\, BSRB\n\nReady to share your research? Present your poster at the 25th Annual Neel Lectureship. Submit your poster information no later than Friday\, May 8\, 2026 @midnight.\n\n12:00 – Lectureship Begins\n12:15 – Graduate Student Neel Award Presentation (PhD)\n12:30 – Graduate Student Neel Award Presentation (MS/GC)\n1:00 – Keynote Address\n2:00 – Reception Begins/ Poster Session Begins\n3:00 – Conclude
UID:143365-21892954@events.umich.edu
URL:https://events.umich.edu/event/143365
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Information and Technology
LOCATION:Taubman Biomedical Science Research Building - 1020 Kahn Auditorium, BSRB & ABC Seminar Rooms
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260526T095445
DTSTART;TZID=America/Detroit:20260526T120000
DTEND;TZID=America/Detroit:20260526T130000
SUMMARY:Workshop / Seminar:Introduction to GenAI: Unpacking Key Concepts
DESCRIPTION:This workshop introduces instructors\, students\, and staff to the basics of generative artificial intelligence (GenAI) and its applications in academic and everyday settings. Participants will gain a foundational understanding of common GenAI tools and their relevance in various educational and professional contexts.\n\nWorkshop Outline:\n-What is GenAI?\n-Definition and Overview\n-Introduction to U-M GPT\n-Exploring Key Concepts and Terminology\n-Explanation of commonly used terms in GenAI\n-Use Cases for Faculty\, Staff\, and Students\n-Practical applications and examples \n-Capabilities and Limitations\n-Understanding what GenAI can and cannot do\n-Best Practices for Practical Use\n\nWorkshop Level: Beginner (Core Workshop)\nAudience: Staff\, Instructors\, and Students
UID:124201-21904212@events.umich.edu
URL:https://events.umich.edu/event/124201
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:information and technology
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260428T140400
DTSTART;TZID=America/Detroit:20260527T090000
DTEND;TZID=America/Detroit:20260527T120000
SUMMARY:Workshop / Seminar:Introduction to the Linux Command Line
DESCRIPTION:This remote course will familiarize students with the basics of accessing and interacting with Linux computers using the GNU/Linux operating system’s Bash shell\, also generically referred to as “the command line”. \n\nTopics include: \n- a brief overview of Linux\n- the Bash shell\n- navigating the file system\n- basic commands\n- shell redirection\n- permissions\n- processes\n- the command environment. \n\nThe workshop will also provide a quick introduction to nano a simple text editor that will be used in subsequent workshops to edit files.\n\nPrerequisites: none.\n\nFor more information about the instructors and course preparation materials\, please visit: https://ttc.iss.lsa.umich.edu/ttc/sessions/introduction-to-the-linux-command-line-60-2-2-2/
UID:126734-21857828@events.umich.edu
URL:https://events.umich.edu/event/126734
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Information and Technology
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260518T092846
DTSTART;TZID=America/Detroit:20260527T180000
DTEND;TZID=America/Detroit:20260527T190000
SUMMARY:Livestream / Virtual:ALUM 101: From the Campus to the World: How U-M Innovations Are Changing Lives
DESCRIPTION:Our third course\, ALUM 101: From the Campus to the World: How U-M Innovations Are Changing Lives\, continues the series with a deep dive into breakthroughs\, from life-saving cancer treatments to the future of athletic performance. You will get a front-row seat to the ideas\, people\, and partnerships behind Michigan innovation.\n\nDeveloped in partnership with Innovation Partnerships\, this four-part mini-course will explore how discoveries move from campus to real-world impact\, featuring topics such as HistoSonics ultrasound technology\, KOMZIFTI therapeutics\, OLED screen displays\, and GripFusion’s ForceBall.\n\nEach 60-minute virtual lecture includes a Q&A\, allowing you to learn alongside fellow Wolverines. Classes take place on Wednesdays at 6 p.m.\, beginning May 20 and concluding with an optional in-person field trip.
UID:147843-21902035@events.umich.edu
URL:https://events.umich.edu/event/147843
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Information and Technology
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260526T103147
DTSTART;TZID=America/Detroit:20260528T120000
DTEND;TZID=America/Detroit:20260528T130000
SUMMARY:Workshop / Seminar:Critical Challenges in Generative AI: Academic Integrity\, Bias\, Responsibilities\, and Risks
DESCRIPTION:This workshop focuses on the limitations of generative artificial intelligence\, with a particular emphasis on ethical considerations\, academic integrity\, equity\, and bias concerns. Participants will be introduced to high-level issues in these areas\, preparing them for further extensive training opportunities.\n\nWorkshop Outline:\n\n-Academic Integrity\n--The role of GenAI in maintaining or challenging academic standards\n--How to evaluate student work in a GenAI era\n--How students can demonstrate effectively where they have and haven't used GenAI\n--How to use GenAI ethically and effectively in classwork\n-Bias Concerns\n--Examining how GenAI can perpetuate or mitigate biases\n--Recommendations for how to prompt to reduce bias in output\n-Responsibilities and Risks of Using GenAI\n--GenAI is popping up everywhere (Google\, Apple)\n--Sensitive data types should only be used in U-M tools\n\nAudience: Staff\, Instructors\, and Students
UID:120562-21904216@events.umich.edu
URL:https://events.umich.edu/event/120562
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:information and technology
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260428T140520
DTSTART;TZID=America/Detroit:20260528T130000
DTEND;TZID=America/Detroit:20260528T160000
SUMMARY:Workshop / Seminar:Introduction to Research Computing on the Great Lakes Cluster
DESCRIPTION:This workshop will introduce you to high performance computing on the Great Lakes cluster. After a brief overview of the components of the cluster and the resources available there\, the main body of the workshop will cover creating batch scripts and the options available to run jobs\, and hands-on experience in submitting\, tracking\, and interpreting the results of submitted jobs. \n\nBy the end of the workshop\, every participant should have created a submission script\, submitted a job\, tracked its progress\, and collected its output. Additional tools including high-performance data transfer services and interactive use of the cluster will also be covered.\n\nFor more information on prerequisites\, instructors and course preparation materials\, please visit: https://ttc.iss.lsa.umich.edu/ttc/sessions/introduction-to-research-computing-on-the-great-lakes-cluster-38-2-2-2/
UID:126736-21857842@events.umich.edu
URL:https://events.umich.edu/event/126736
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Information and Technology
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260428T140651
DTSTART;TZID=America/Detroit:20260601T090000
DTEND;TZID=America/Detroit:20260601T120000
SUMMARY:Workshop / Seminar:Advanced Research Computing on the Great Lakes Cluster
DESCRIPTION:This workshop will cover some more advanced topics in computing on the U-M Great Lakes Cluster.  Topics to be covered include a brief review of common parallel programming models and basic use of Great Lakes\; dependent and array scheduling\; workflow scripting\; high-throughput computing using launcher\; parallel processing in one or more of Python\, R\, and MATLAB\; and profiling of parallel code.\n\nPrerequisites: This course assumes familiarity with the Linux command line as might be got from the ARC-TS workshop Introduction to the Linux Command Line. In particular\, participants should understand how files and folders work\, be able to create text files using the nano editor\, be able to create and remove files and folders\, and understand what input and output redirection are and how to use them.\n\nFor more information on instructors and course preparation materials\, please visit: https://ttc.iss.lsa.umich.edu/ttc/sessions/advanced-research-computing-on-the-great-lakes-cluster-38-2-3/
UID:126741-21857845@events.umich.edu
URL:https://events.umich.edu/event/126741
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Information and Technology
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260526T102723
DTSTART;TZID=America/Detroit:20260602T120000
DTEND;TZID=America/Detroit:20260602T130000
SUMMARY:Workshop / Seminar:From Basics to Brilliance: Prompt Crafting with U-M GPT
DESCRIPTION:This workshop equips faculty\, staff\, and students with the essential skills to effectively use U-M GPT\, the University of Michigan’s equitable\, accessible\, and secure text-based Generative Artificial Intelligence tool. The session includes foundational and advanced techniques for crafting effective prompts\, exploring creative AI interactions\, and leveraging U-M GPT for various educational applications. Participants will engage in interactive\, hands-on activities to enhance their GenAI prompt crafting proficiency.\n\nWorkshop Outline:\n\n-U-M GPT Review\n-Prompt Literacy introduction\n-Write your own prompt activity\n--Student-facing prompts\n-Effective text/data input into U-M GPT\n--Tips & Tricks\n--Data examples\n-Prompt Crafting Hands-On Opportunities:\n--Conversations/Length\n--Rephrase/New Chat\n--Specified Style/Tone\n\nAudience: Staff\, Instructors\, and Students
UID:119409-21904215@events.umich.edu
URL:https://events.umich.edu/event/119409
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:information and technology
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260518T092846
DTSTART;TZID=America/Detroit:20260603T180000
DTEND;TZID=America/Detroit:20260603T190000
SUMMARY:Livestream / Virtual:ALUM 101: From the Campus to the World: How U-M Innovations Are Changing Lives
DESCRIPTION:Our third course\, ALUM 101: From the Campus to the World: How U-M Innovations Are Changing Lives\, continues the series with a deep dive into breakthroughs\, from life-saving cancer treatments to the future of athletic performance. You will get a front-row seat to the ideas\, people\, and partnerships behind Michigan innovation.\n\nDeveloped in partnership with Innovation Partnerships\, this four-part mini-course will explore how discoveries move from campus to real-world impact\, featuring topics such as HistoSonics ultrasound technology\, KOMZIFTI therapeutics\, OLED screen displays\, and GripFusion’s ForceBall.\n\nEach 60-minute virtual lecture includes a Q&A\, allowing you to learn alongside fellow Wolverines. Classes take place on Wednesdays at 6 p.m.\, beginning May 20 and concluding with an optional in-person field trip.
UID:147843-21902036@events.umich.edu
URL:https://events.umich.edu/event/147843
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Information and Technology
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260526T103614
DTSTART;TZID=America/Detroit:20260609T120000
DTEND;TZID=America/Detroit:20260609T130000
SUMMARY:Workshop / Seminar:Prompt to Picture: How AI Can Help You Create Custom Visuals
DESCRIPTION:Are you curious about how AI can help you create custom visuals? In this workshop\, you’ll use tools like DALL-E 3 in U-M GPT and Adobe Firefly to design professional-looking images.\n\nUsing simple text descriptions\, we’ll show you how to turn your ideas into images. You’ll also explore Firefly editing tools\, like adding or removing objects\, changing backgrounds\, and enhancing photos.\n\nThis session is perfect for faculty\, staff\, and students looking to create eye-catching visuals for assignments\, presentations\, teaching materials\, or communications\n\nWorkshop Outline:\n\n-Generative AI for Images - Introduction\n-Crafting Effective Prompts\n-Troubleshooting Common AI Image Generation Issues\n-Ethical Considerations\n-Live Demo: DALL-E 3 in UM-GPT\n-Exploring Adobe Firefly Generative AI Features\n-Wrap-Up and Key Takeaways\n\nAudience: Staff\, Instructors\, and Students
UID:120563-21904218@events.umich.edu
URL:https://events.umich.edu/event/120563
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:information and technology
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260518T092846
DTSTART;TZID=America/Detroit:20260610T180000
DTEND;TZID=America/Detroit:20260610T190000
SUMMARY:Livestream / Virtual:ALUM 101: From the Campus to the World: How U-M Innovations Are Changing Lives
DESCRIPTION:Our third course\, ALUM 101: From the Campus to the World: How U-M Innovations Are Changing Lives\, continues the series with a deep dive into breakthroughs\, from life-saving cancer treatments to the future of athletic performance. You will get a front-row seat to the ideas\, people\, and partnerships behind Michigan innovation.\n\nDeveloped in partnership with Innovation Partnerships\, this four-part mini-course will explore how discoveries move from campus to real-world impact\, featuring topics such as HistoSonics ultrasound technology\, KOMZIFTI therapeutics\, OLED screen displays\, and GripFusion’s ForceBall.\n\nEach 60-minute virtual lecture includes a Q&A\, allowing you to learn alongside fellow Wolverines. Classes take place on Wednesdays at 6 p.m.\, beginning May 20 and concluding with an optional in-person field trip.
UID:147843-21902037@events.umich.edu
URL:https://events.umich.edu/event/147843
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Information and Technology
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260526T103902
DTSTART;TZID=America/Detroit:20260611T120000
DTEND;TZID=America/Detroit:20260611T130000
SUMMARY:Workshop / Seminar:The GenAI Educational Landscape: Best Practices for Instructors
DESCRIPTION:This mini workshop is designed to equip faculty with the necessary skills and knowledge to integrate Generative Artificial Intelligence into the classroom setting effectively. Faculty members will explore its impact on students and instruction\, learn how to discuss Generative AI (GenAI) with students and receive guidance on writing a GenAI syllabus statement. Although this workshop is designed for instructors\, all are welcome.\n\nWorkshop Outline:\n\n-GenAI in education\n--Objectives\, overview\, and impact\n-Syllabus statements\n--Strategies for communication and writing GenAI syllabus statements\n-Ideas for (re)designing assignments in a GenAI era\n-Sharing experiences\, troubleshooting challenges\, and providing additional resources\n\nAudience: Instructors
UID:110040-21904219@events.umich.edu
URL:https://events.umich.edu/event/110040
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:information and technology
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20250926T155648
DTSTART;TZID=America/Detroit:20260616T130000
DTEND;TZID=America/Detroit:20260616T143000
SUMMARY:Workshop / Seminar:Introduction to Digital Accessibility
DESCRIPTION:Course details and registration are available on the Organizational Learning website.
UID:139948-21886395@events.umich.edu
URL:https://events.umich.edu/event/139948
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Information and Technology
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260428T140916
DTSTART;TZID=America/Detroit:20260616T130000
DTEND;TZID=America/Detroit:20260616T160000
SUMMARY:Workshop / Seminar:Introduction to the Linux Command Line
DESCRIPTION:This remote course will familiarize students with the basics of accessing and interacting with Linux computers using the GNU/Linux operating system’s Bash shell\, also generically referred to as “the command line”.\n\nTopics include:\n- a brief overview of Linux\n- the Bash shell\n- navigating the file system\n- basic commands\n- shell redirection\n- permissions\n- processes\n- the command environment.\n\nThe workshop will also provide a quick introduction to nano a simple text editor that will be used in subsequent workshops to edit files.\n\nPrerequisites: none.\n\nFor more information about the instructors and course preparation materials\, please visit: https://ttc.iss.lsa.umich.edu/ttc/sessions/introduction-to-the-linux-command-line-60-2-2-2-2/
UID:126737-21867350@events.umich.edu
URL:https://events.umich.edu/event/126737
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Information and Technology
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260223T143824
DTSTART;TZID=America/Detroit:20260616T140000
DTEND;TZID=America/Detroit:20260616T150000
SUMMARY:Lecture / Discussion:Rare Failures\, Public Perception\, and Automated Driving: Why Exceptional Events Shape Trust in Emerging Safety Technologies
DESCRIPTION:This lecture explores the “vaccine paradox” of automated driving: why rare\, highly publicized failures of self-driving vehicles provoke intense emotional and political reactions while the far more common harms of human driving remain normalized. Drawing on risk psychology\, public-health history\, and human-factors research\, Prof. McGehee examines how visibility imbalance\, trust\, and perceptions of control shape public acceptance of emerging vehicle automation. Using real-world examples from automated-vehicle deployments alongside lessons from vaccine adoption and safety communication\, the talk argues that societal expectations for perfection in automation may obscure meaningful population-level safety gains. The presentation concludes by discussing how transparency\, responsible system design\, and careful language around driver-assistance technologies can help align public perception with evidence as automated driving evolves toward broader deployment.\n---\nAbout the speaker: Daniel V. McGehee\, is Professor of Industrial and Systems Engineering at the University of Iowa and Director of the Driving Safety Research Institute (DSRI) and the National Advanced Driving Simulator (NADS)\, one of the world’s largest and most advanced ground-vehicle simulation facilities. For more than three decades\, his work has focused on human factors\, driver behavior\, and the safe integration of advanced vehicle technologies\, including automated driving and driver-assistance systems. Dr. McGehee’s research spans engineering\, medicine\, public health\, and transportation policy\, with projects funded by the U.S. Department of Transportation\, National Institutes of Health\, and the automotive industry. He has led over $40 million in sponsored research and authored more than 160 scientific publications addressing driver attention\, crash avoidance\, vulnerable road users\, and the design of vehicle interfaces. His work combines naturalistic driving studies\, simulation\, and field research to better understand how humans interact with emerging mobility systems. At the University of Iowa\, he holds joint appointments in emergency medicine and public health\, reflecting his longstanding interest in traffic safety as a population-level health issue.
UID:145812-21897843@events.umich.edu
URL:https://events.umich.edu/event/145812
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Information and Technology
LOCATION:Transportation Research Institute - Room 139
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260428T141034
DTSTART;TZID=America/Detroit:20260617T090000
DTEND;TZID=America/Detroit:20260617T120000
SUMMARY:Workshop / Seminar:Introduction to Research Computing on the Great Lakes Cluster
DESCRIPTION:This workshop will introduce you to high performance computing on the Great Lakes cluster. After a brief overview of the components of the cluster and the resources available there\, the main body of the workshop will cover creating batch scripts and the options available to run jobs\, and hands-on experience in submitting\, tracking\, and interpreting the results of submitted jobs.\n\nBy the end of the workshop\, every participant should have created a submission script\, submitted a job\, tracked its progress\, and collected its output. Additional tools including high-performance data transfer services and interactive use of the cluster will also be covered.\n\nFor more information on prerequisites\, instructors and course preparation materials\, please visit: https://ttc.iss.lsa.umich.edu/ttc/sessions/introduction-to-research-computing-on-the-great-lakes-cluster-38-2-2-2-2/
UID:126740-21857844@events.umich.edu
URL:https://events.umich.edu/event/126740
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Information and Technology
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260526T105938
DTSTART;TZID=America/Detroit:20260618T120000
DTEND;TZID=America/Detroit:20260618T130000
SUMMARY:Workshop / Seminar:Streamline Daily Work Tasks with U-M Maizey
DESCRIPTION:Streamline Daily Work Tasks with U-M Maizey\n\nU-M Maizey is a tool that enables U-M faculty\, staff\, and students to use custom datasets to enhance their GenAI experience\, helping them extract insights\, discover patterns\, and gain deeper knowledge from the data.\n\nEnhance your productivity by harnessing U-M Maizey for various staff-related tasks\, including managing Dropbox\, Google Drive\, and public website data efficiently. This workshop is aimed at staff members who want to utilize Maizey to streamline their workflows\, manage large data sets\, and automate routine tasks. Participants will learn how to set up and configure Maizey projects\, customize system prompts\, and adjust settings to improve Maizey's performance for diverse applications.\n\nWorkshop Outline:\n\n-Practical Applications for Staff\n--Streamlining Administrative Tasks\n--Automating Data Processing\n--Enhancing Document Management and Retrieval\n-Customization and Advanced Settings\n--Understanding Maizey Data Sources and File Types\n--Defining System Prompts for Various Staff Roles\n--Adjusting Temperature Settings for Improved Accuracy\n--Hands-On Activity\n---Creating and Customizing Maizey Projects\n---Crafting Effective System Prompts\n---Experimenting with Settings to Optimize Performance\n-Q&A and Best Practices\n--Sharing Use Cases and Success Stories\n--Troubleshooting Common Issues\n\nAudience: Staff
UID:120560-21904222@events.umich.edu
URL:https://events.umich.edu/event/120560
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:information and technology
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260526T104733
DTSTART;TZID=America/Detroit:20260623T120000
DTEND;TZID=America/Detroit:20260623T130000
SUMMARY:Workshop / Seminar:Harness U-M Maizey for Teaching and Learning
DESCRIPTION:Discover how to enhance your classroom with U-M Maizey by integrating it seamlessly with Canvas and using it as an innovative assistant for supporting student learning. This workshop is designed for instructors who wish to leverage Maizey as a class tutor\, homework helper\, and more. By the end of the session\, you will have the skills to set up and customize Maizey projects for your educational needs\, ensuring that Maizey becomes an invaluable asset in your teaching toolkit.\n\nWorkshop Outline:\n\nIntroduction to U-M Maizey for Educators\n\n-Overview of Maizey’s Role in Education\n-Benefits for Instructors and Students\n-Maizey and Canvas Integration\n--Setting Up Maizey with Canvas\n--New! Instructor Tools\n--Indexing Canvas Courses\n--Managing Course Materials\n-Practical Applications in Teaching and Learning\n--Using Maizey as a Class Tutor\n--Enhancing Homework Assistance\n--Using a Maizey as a student\n--Facilitating Discussion and Research\n-Customization and Advanced Settings\n--Understanding Maizey Data Sources and File Types\n--Defining System Prompts for an Educational Context\n--Adjusting Temperature Settings for Accurate Responses\n-Hands-On Activity\n--Creating and Customizing Maizey Projects\n--Crafting Effective System Prompts\n--Experimenting with Settings to Optimize Performance\n-Q&A and Best Practices\n--Sharing Use Cases and Success Stories\n--Troubleshooting Common Issues\n\nAudience: Instructors and Students
UID:119411-21904221@events.umich.edu
URL:https://events.umich.edu/event/119411
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:information and technology
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260408T104211
DTSTART;TZID=America/Detroit:20260713T090000
DTEND;TZID=America/Detroit:20260713T160000
SUMMARY:Workshop / Seminar:AI for Scientists and Engineers Summer Academy
DESCRIPTION:Academy Overview\nThe AI for Scientists and Engineers Summer Academy is designed for academic researchers\, including university faculty\, in a wide range of domains including biological sciences\, engineering\, environmental and earth science\, physical sciences\, and social sciences. Participants will learn the mathematical foundations of machine learning (ML)\, critically assess the data used in AI models\, evaluate and validate ML model outputs\, and understand strategic considerations for incorporating AI into research workflows. The prerequisites are college level math and statistics\; prior coding experience is not required. Specific topics include supervised and unsupervised learning\, neural networks\, causal inference\, and science-informed machine learning models.\n\nThe Summer Academy consists of three weeks of instructions\, with different focuses. One can choose to attend any or all weeks\; however\, weeks 2 and 3 require some prior knowledge of AI / ML.\n\nWeek 1 (Monday\, July 13 – Friday\, July 17\, 2026): The conceptual understanding of AI and its applications in domain research.\nWeek 2 (Monday\, July 20 – Friday\, July 24\, 2026): The implementation of ML models in a Python environment.\nWeek 3 (Monday\, July 27 – Friday\, July 31\, 2026): Advanced topics of AI and its applications in domain research.
UID:147530-21901187@events.umich.edu
URL:https://events.umich.edu/event/147530
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Information and Technology
LOCATION:
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260408T104211
DTSTART;TZID=America/Detroit:20260714T090000
DTEND;TZID=America/Detroit:20260714T160000
SUMMARY:Workshop / Seminar:AI for Scientists and Engineers Summer Academy
DESCRIPTION:Academy Overview\nThe AI for Scientists and Engineers Summer Academy is designed for academic researchers\, including university faculty\, in a wide range of domains including biological sciences\, engineering\, environmental and earth science\, physical sciences\, and social sciences. Participants will learn the mathematical foundations of machine learning (ML)\, critically assess the data used in AI models\, evaluate and validate ML model outputs\, and understand strategic considerations for incorporating AI into research workflows. The prerequisites are college level math and statistics\; prior coding experience is not required. Specific topics include supervised and unsupervised learning\, neural networks\, causal inference\, and science-informed machine learning models.\n\nThe Summer Academy consists of three weeks of instructions\, with different focuses. One can choose to attend any or all weeks\; however\, weeks 2 and 3 require some prior knowledge of AI / ML.\n\nWeek 1 (Monday\, July 13 – Friday\, July 17\, 2026): The conceptual understanding of AI and its applications in domain research.\nWeek 2 (Monday\, July 20 – Friday\, July 24\, 2026): The implementation of ML models in a Python environment.\nWeek 3 (Monday\, July 27 – Friday\, July 31\, 2026): Advanced topics of AI and its applications in domain research.
UID:147530-21901188@events.umich.edu
URL:https://events.umich.edu/event/147530
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Information and Technology
LOCATION:
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260408T104211
DTSTART;TZID=America/Detroit:20260715T090000
DTEND;TZID=America/Detroit:20260715T160000
SUMMARY:Workshop / Seminar:AI for Scientists and Engineers Summer Academy
DESCRIPTION:Academy Overview\nThe AI for Scientists and Engineers Summer Academy is designed for academic researchers\, including university faculty\, in a wide range of domains including biological sciences\, engineering\, environmental and earth science\, physical sciences\, and social sciences. Participants will learn the mathematical foundations of machine learning (ML)\, critically assess the data used in AI models\, evaluate and validate ML model outputs\, and understand strategic considerations for incorporating AI into research workflows. The prerequisites are college level math and statistics\; prior coding experience is not required. Specific topics include supervised and unsupervised learning\, neural networks\, causal inference\, and science-informed machine learning models.\n\nThe Summer Academy consists of three weeks of instructions\, with different focuses. One can choose to attend any or all weeks\; however\, weeks 2 and 3 require some prior knowledge of AI / ML.\n\nWeek 1 (Monday\, July 13 – Friday\, July 17\, 2026): The conceptual understanding of AI and its applications in domain research.\nWeek 2 (Monday\, July 20 – Friday\, July 24\, 2026): The implementation of ML models in a Python environment.\nWeek 3 (Monday\, July 27 – Friday\, July 31\, 2026): Advanced topics of AI and its applications in domain research.
UID:147530-21901189@events.umich.edu
URL:https://events.umich.edu/event/147530
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Information and Technology
LOCATION:
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260408T104211
DTSTART;TZID=America/Detroit:20260716T090000
DTEND;TZID=America/Detroit:20260716T160000
SUMMARY:Workshop / Seminar:AI for Scientists and Engineers Summer Academy
DESCRIPTION:Academy Overview\nThe AI for Scientists and Engineers Summer Academy is designed for academic researchers\, including university faculty\, in a wide range of domains including biological sciences\, engineering\, environmental and earth science\, physical sciences\, and social sciences. Participants will learn the mathematical foundations of machine learning (ML)\, critically assess the data used in AI models\, evaluate and validate ML model outputs\, and understand strategic considerations for incorporating AI into research workflows. The prerequisites are college level math and statistics\; prior coding experience is not required. Specific topics include supervised and unsupervised learning\, neural networks\, causal inference\, and science-informed machine learning models.\n\nThe Summer Academy consists of three weeks of instructions\, with different focuses. One can choose to attend any or all weeks\; however\, weeks 2 and 3 require some prior knowledge of AI / ML.\n\nWeek 1 (Monday\, July 13 – Friday\, July 17\, 2026): The conceptual understanding of AI and its applications in domain research.\nWeek 2 (Monday\, July 20 – Friday\, July 24\, 2026): The implementation of ML models in a Python environment.\nWeek 3 (Monday\, July 27 – Friday\, July 31\, 2026): Advanced topics of AI and its applications in domain research.
UID:147530-21901190@events.umich.edu
URL:https://events.umich.edu/event/147530
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Information and Technology
LOCATION:
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260408T104211
DTSTART;TZID=America/Detroit:20260717T090000
DTEND;TZID=America/Detroit:20260717T160000
SUMMARY:Workshop / Seminar:AI for Scientists and Engineers Summer Academy
DESCRIPTION:Academy Overview\nThe AI for Scientists and Engineers Summer Academy is designed for academic researchers\, including university faculty\, in a wide range of domains including biological sciences\, engineering\, environmental and earth science\, physical sciences\, and social sciences. Participants will learn the mathematical foundations of machine learning (ML)\, critically assess the data used in AI models\, evaluate and validate ML model outputs\, and understand strategic considerations for incorporating AI into research workflows. The prerequisites are college level math and statistics\; prior coding experience is not required. Specific topics include supervised and unsupervised learning\, neural networks\, causal inference\, and science-informed machine learning models.\n\nThe Summer Academy consists of three weeks of instructions\, with different focuses. One can choose to attend any or all weeks\; however\, weeks 2 and 3 require some prior knowledge of AI / ML.\n\nWeek 1 (Monday\, July 13 – Friday\, July 17\, 2026): The conceptual understanding of AI and its applications in domain research.\nWeek 2 (Monday\, July 20 – Friday\, July 24\, 2026): The implementation of ML models in a Python environment.\nWeek 3 (Monday\, July 27 – Friday\, July 31\, 2026): Advanced topics of AI and its applications in domain research.
UID:147530-21901191@events.umich.edu
URL:https://events.umich.edu/event/147530
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Information and Technology
LOCATION:
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260408T104211
DTSTART;TZID=America/Detroit:20260720T090000
DTEND;TZID=America/Detroit:20260720T160000
SUMMARY:Workshop / Seminar:AI for Scientists and Engineers Summer Academy
DESCRIPTION:Academy Overview\nThe AI for Scientists and Engineers Summer Academy is designed for academic researchers\, including university faculty\, in a wide range of domains including biological sciences\, engineering\, environmental and earth science\, physical sciences\, and social sciences. Participants will learn the mathematical foundations of machine learning (ML)\, critically assess the data used in AI models\, evaluate and validate ML model outputs\, and understand strategic considerations for incorporating AI into research workflows. The prerequisites are college level math and statistics\; prior coding experience is not required. Specific topics include supervised and unsupervised learning\, neural networks\, causal inference\, and science-informed machine learning models.\n\nThe Summer Academy consists of three weeks of instructions\, with different focuses. One can choose to attend any or all weeks\; however\, weeks 2 and 3 require some prior knowledge of AI / ML.\n\nWeek 1 (Monday\, July 13 – Friday\, July 17\, 2026): The conceptual understanding of AI and its applications in domain research.\nWeek 2 (Monday\, July 20 – Friday\, July 24\, 2026): The implementation of ML models in a Python environment.\nWeek 3 (Monday\, July 27 – Friday\, July 31\, 2026): Advanced topics of AI and its applications in domain research.
UID:147530-21901194@events.umich.edu
URL:https://events.umich.edu/event/147530
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Information and Technology
LOCATION:
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260408T104211
DTSTART;TZID=America/Detroit:20260721T090000
DTEND;TZID=America/Detroit:20260721T160000
SUMMARY:Workshop / Seminar:AI for Scientists and Engineers Summer Academy
DESCRIPTION:Academy Overview\nThe AI for Scientists and Engineers Summer Academy is designed for academic researchers\, including university faculty\, in a wide range of domains including biological sciences\, engineering\, environmental and earth science\, physical sciences\, and social sciences. Participants will learn the mathematical foundations of machine learning (ML)\, critically assess the data used in AI models\, evaluate and validate ML model outputs\, and understand strategic considerations for incorporating AI into research workflows. The prerequisites are college level math and statistics\; prior coding experience is not required. Specific topics include supervised and unsupervised learning\, neural networks\, causal inference\, and science-informed machine learning models.\n\nThe Summer Academy consists of three weeks of instructions\, with different focuses. One can choose to attend any or all weeks\; however\, weeks 2 and 3 require some prior knowledge of AI / ML.\n\nWeek 1 (Monday\, July 13 – Friday\, July 17\, 2026): The conceptual understanding of AI and its applications in domain research.\nWeek 2 (Monday\, July 20 – Friday\, July 24\, 2026): The implementation of ML models in a Python environment.\nWeek 3 (Monday\, July 27 – Friday\, July 31\, 2026): Advanced topics of AI and its applications in domain research.
UID:147530-21901195@events.umich.edu
URL:https://events.umich.edu/event/147530
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Information and Technology
LOCATION:
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260408T104211
DTSTART;TZID=America/Detroit:20260722T090000
DTEND;TZID=America/Detroit:20260722T160000
SUMMARY:Workshop / Seminar:AI for Scientists and Engineers Summer Academy
DESCRIPTION:Academy Overview\nThe AI for Scientists and Engineers Summer Academy is designed for academic researchers\, including university faculty\, in a wide range of domains including biological sciences\, engineering\, environmental and earth science\, physical sciences\, and social sciences. Participants will learn the mathematical foundations of machine learning (ML)\, critically assess the data used in AI models\, evaluate and validate ML model outputs\, and understand strategic considerations for incorporating AI into research workflows. The prerequisites are college level math and statistics\; prior coding experience is not required. Specific topics include supervised and unsupervised learning\, neural networks\, causal inference\, and science-informed machine learning models.\n\nThe Summer Academy consists of three weeks of instructions\, with different focuses. One can choose to attend any or all weeks\; however\, weeks 2 and 3 require some prior knowledge of AI / ML.\n\nWeek 1 (Monday\, July 13 – Friday\, July 17\, 2026): The conceptual understanding of AI and its applications in domain research.\nWeek 2 (Monday\, July 20 – Friday\, July 24\, 2026): The implementation of ML models in a Python environment.\nWeek 3 (Monday\, July 27 – Friday\, July 31\, 2026): Advanced topics of AI and its applications in domain research.
UID:147530-21901196@events.umich.edu
URL:https://events.umich.edu/event/147530
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Information and Technology
LOCATION:
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260408T104211
DTSTART;TZID=America/Detroit:20260723T090000
DTEND;TZID=America/Detroit:20260723T160000
SUMMARY:Workshop / Seminar:AI for Scientists and Engineers Summer Academy
DESCRIPTION:Academy Overview\nThe AI for Scientists and Engineers Summer Academy is designed for academic researchers\, including university faculty\, in a wide range of domains including biological sciences\, engineering\, environmental and earth science\, physical sciences\, and social sciences. Participants will learn the mathematical foundations of machine learning (ML)\, critically assess the data used in AI models\, evaluate and validate ML model outputs\, and understand strategic considerations for incorporating AI into research workflows. The prerequisites are college level math and statistics\; prior coding experience is not required. Specific topics include supervised and unsupervised learning\, neural networks\, causal inference\, and science-informed machine learning models.\n\nThe Summer Academy consists of three weeks of instructions\, with different focuses. One can choose to attend any or all weeks\; however\, weeks 2 and 3 require some prior knowledge of AI / ML.\n\nWeek 1 (Monday\, July 13 – Friday\, July 17\, 2026): The conceptual understanding of AI and its applications in domain research.\nWeek 2 (Monday\, July 20 – Friday\, July 24\, 2026): The implementation of ML models in a Python environment.\nWeek 3 (Monday\, July 27 – Friday\, July 31\, 2026): Advanced topics of AI and its applications in domain research.
UID:147530-21901197@events.umich.edu
URL:https://events.umich.edu/event/147530
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Information and Technology
LOCATION:
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260408T104211
DTSTART;TZID=America/Detroit:20260724T090000
DTEND;TZID=America/Detroit:20260724T160000
SUMMARY:Workshop / Seminar:AI for Scientists and Engineers Summer Academy
DESCRIPTION:Academy Overview\nThe AI for Scientists and Engineers Summer Academy is designed for academic researchers\, including university faculty\, in a wide range of domains including biological sciences\, engineering\, environmental and earth science\, physical sciences\, and social sciences. Participants will learn the mathematical foundations of machine learning (ML)\, critically assess the data used in AI models\, evaluate and validate ML model outputs\, and understand strategic considerations for incorporating AI into research workflows. The prerequisites are college level math and statistics\; prior coding experience is not required. Specific topics include supervised and unsupervised learning\, neural networks\, causal inference\, and science-informed machine learning models.\n\nThe Summer Academy consists of three weeks of instructions\, with different focuses. One can choose to attend any or all weeks\; however\, weeks 2 and 3 require some prior knowledge of AI / ML.\n\nWeek 1 (Monday\, July 13 – Friday\, July 17\, 2026): The conceptual understanding of AI and its applications in domain research.\nWeek 2 (Monday\, July 20 – Friday\, July 24\, 2026): The implementation of ML models in a Python environment.\nWeek 3 (Monday\, July 27 – Friday\, July 31\, 2026): Advanced topics of AI and its applications in domain research.
UID:147530-21901198@events.umich.edu
URL:https://events.umich.edu/event/147530
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Information and Technology
LOCATION:
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260408T104211
DTSTART;TZID=America/Detroit:20260727T090000
DTEND;TZID=America/Detroit:20260727T160000
SUMMARY:Workshop / Seminar:AI for Scientists and Engineers Summer Academy
DESCRIPTION:Academy Overview\nThe AI for Scientists and Engineers Summer Academy is designed for academic researchers\, including university faculty\, in a wide range of domains including biological sciences\, engineering\, environmental and earth science\, physical sciences\, and social sciences. Participants will learn the mathematical foundations of machine learning (ML)\, critically assess the data used in AI models\, evaluate and validate ML model outputs\, and understand strategic considerations for incorporating AI into research workflows. The prerequisites are college level math and statistics\; prior coding experience is not required. Specific topics include supervised and unsupervised learning\, neural networks\, causal inference\, and science-informed machine learning models.\n\nThe Summer Academy consists of three weeks of instructions\, with different focuses. One can choose to attend any or all weeks\; however\, weeks 2 and 3 require some prior knowledge of AI / ML.\n\nWeek 1 (Monday\, July 13 – Friday\, July 17\, 2026): The conceptual understanding of AI and its applications in domain research.\nWeek 2 (Monday\, July 20 – Friday\, July 24\, 2026): The implementation of ML models in a Python environment.\nWeek 3 (Monday\, July 27 – Friday\, July 31\, 2026): Advanced topics of AI and its applications in domain research.
UID:147530-21901201@events.umich.edu
URL:https://events.umich.edu/event/147530
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Information and Technology
LOCATION:
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260408T104211
DTSTART;TZID=America/Detroit:20260728T090000
DTEND;TZID=America/Detroit:20260728T160000
SUMMARY:Workshop / Seminar:AI for Scientists and Engineers Summer Academy
DESCRIPTION:Academy Overview\nThe AI for Scientists and Engineers Summer Academy is designed for academic researchers\, including university faculty\, in a wide range of domains including biological sciences\, engineering\, environmental and earth science\, physical sciences\, and social sciences. Participants will learn the mathematical foundations of machine learning (ML)\, critically assess the data used in AI models\, evaluate and validate ML model outputs\, and understand strategic considerations for incorporating AI into research workflows. The prerequisites are college level math and statistics\; prior coding experience is not required. Specific topics include supervised and unsupervised learning\, neural networks\, causal inference\, and science-informed machine learning models.\n\nThe Summer Academy consists of three weeks of instructions\, with different focuses. One can choose to attend any or all weeks\; however\, weeks 2 and 3 require some prior knowledge of AI / ML.\n\nWeek 1 (Monday\, July 13 – Friday\, July 17\, 2026): The conceptual understanding of AI and its applications in domain research.\nWeek 2 (Monday\, July 20 – Friday\, July 24\, 2026): The implementation of ML models in a Python environment.\nWeek 3 (Monday\, July 27 – Friday\, July 31\, 2026): Advanced topics of AI and its applications in domain research.
UID:147530-21901202@events.umich.edu
URL:https://events.umich.edu/event/147530
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Information and Technology
LOCATION:
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260408T104211
DTSTART;TZID=America/Detroit:20260729T090000
DTEND;TZID=America/Detroit:20260729T160000
SUMMARY:Workshop / Seminar:AI for Scientists and Engineers Summer Academy
DESCRIPTION:Academy Overview\nThe AI for Scientists and Engineers Summer Academy is designed for academic researchers\, including university faculty\, in a wide range of domains including biological sciences\, engineering\, environmental and earth science\, physical sciences\, and social sciences. Participants will learn the mathematical foundations of machine learning (ML)\, critically assess the data used in AI models\, evaluate and validate ML model outputs\, and understand strategic considerations for incorporating AI into research workflows. The prerequisites are college level math and statistics\; prior coding experience is not required. Specific topics include supervised and unsupervised learning\, neural networks\, causal inference\, and science-informed machine learning models.\n\nThe Summer Academy consists of three weeks of instructions\, with different focuses. One can choose to attend any or all weeks\; however\, weeks 2 and 3 require some prior knowledge of AI / ML.\n\nWeek 1 (Monday\, July 13 – Friday\, July 17\, 2026): The conceptual understanding of AI and its applications in domain research.\nWeek 2 (Monday\, July 20 – Friday\, July 24\, 2026): The implementation of ML models in a Python environment.\nWeek 3 (Monday\, July 27 – Friday\, July 31\, 2026): Advanced topics of AI and its applications in domain research.
UID:147530-21901203@events.umich.edu
URL:https://events.umich.edu/event/147530
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Information and Technology
LOCATION:
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260408T104211
DTSTART;TZID=America/Detroit:20260730T090000
DTEND;TZID=America/Detroit:20260730T160000
SUMMARY:Workshop / Seminar:AI for Scientists and Engineers Summer Academy
DESCRIPTION:Academy Overview\nThe AI for Scientists and Engineers Summer Academy is designed for academic researchers\, including university faculty\, in a wide range of domains including biological sciences\, engineering\, environmental and earth science\, physical sciences\, and social sciences. Participants will learn the mathematical foundations of machine learning (ML)\, critically assess the data used in AI models\, evaluate and validate ML model outputs\, and understand strategic considerations for incorporating AI into research workflows. The prerequisites are college level math and statistics\; prior coding experience is not required. Specific topics include supervised and unsupervised learning\, neural networks\, causal inference\, and science-informed machine learning models.\n\nThe Summer Academy consists of three weeks of instructions\, with different focuses. One can choose to attend any or all weeks\; however\, weeks 2 and 3 require some prior knowledge of AI / ML.\n\nWeek 1 (Monday\, July 13 – Friday\, July 17\, 2026): The conceptual understanding of AI and its applications in domain research.\nWeek 2 (Monday\, July 20 – Friday\, July 24\, 2026): The implementation of ML models in a Python environment.\nWeek 3 (Monday\, July 27 – Friday\, July 31\, 2026): Advanced topics of AI and its applications in domain research.
UID:147530-21901204@events.umich.edu
URL:https://events.umich.edu/event/147530
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Information and Technology
LOCATION:
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260408T104211
DTSTART;TZID=America/Detroit:20260731T090000
DTEND;TZID=America/Detroit:20260731T160000
SUMMARY:Workshop / Seminar:AI for Scientists and Engineers Summer Academy
DESCRIPTION:Academy Overview\nThe AI for Scientists and Engineers Summer Academy is designed for academic researchers\, including university faculty\, in a wide range of domains including biological sciences\, engineering\, environmental and earth science\, physical sciences\, and social sciences. Participants will learn the mathematical foundations of machine learning (ML)\, critically assess the data used in AI models\, evaluate and validate ML model outputs\, and understand strategic considerations for incorporating AI into research workflows. The prerequisites are college level math and statistics\; prior coding experience is not required. Specific topics include supervised and unsupervised learning\, neural networks\, causal inference\, and science-informed machine learning models.\n\nThe Summer Academy consists of three weeks of instructions\, with different focuses. One can choose to attend any or all weeks\; however\, weeks 2 and 3 require some prior knowledge of AI / ML.\n\nWeek 1 (Monday\, July 13 – Friday\, July 17\, 2026): The conceptual understanding of AI and its applications in domain research.\nWeek 2 (Monday\, July 20 – Friday\, July 24\, 2026): The implementation of ML models in a Python environment.\nWeek 3 (Monday\, July 27 – Friday\, July 31\, 2026): Advanced topics of AI and its applications in domain research.
UID:147530-21901205@events.umich.edu
URL:https://events.umich.edu/event/147530
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Information and Technology
LOCATION:
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260107T120530
DTSTART;TZID=America/Detroit:20260914T110000
DTEND;TZID=America/Detroit:20260914T120000
SUMMARY:Lecture / Discussion:Human Genetics Research Seminar Series
DESCRIPTION:Monday\, September 14\, 2026\n11:00am - 12:00pm\nLocation TBD\n\nYang Shi\, PhD\nProfessor of Epigenetics\nLudwig Institute for Cancer Research\nOxford University\, Oxford\, England\n“Seminar Title TBD”\n\nHosted By: Shigeki Iwase\, PhD\, Department of Human Genetics\n___\nBefore joining Ludwig Oxford in 2020\, I was Professor of Cell Biology and C. H. Waddington Professor of Pediatrics at Harvard Medical School. I received my PhD from New York University and postdoctoral training at Princeton University. I joined Harvard Medical School as an Assistant Professor in 1991 and was appointed a Professor of Pathology in 2004. In 2009 I joined the Newborn Medicine Division of Boston Children’s Hospital.\n\nI am interested in identifying key epigenetic regulators in cancer\, elucidating their mechanism of action and providing the conceptual basis for translating our basic findings to the clinic via the development of new therapeutic strategies. With the discovery of the first histone methyl eraser\, LSD1\, in 2004\, our group demonstrated that histone methylation is dynamically regulated\, which overturned the long-held dogma that such modifications were static and irreversible. We have also discovered many additional histone demethylases with different specificities\, and novel readers\, including those that specifically recognize unmodified lysine and arginine and suggest that the unmodified states are not simply a ground neutral state of epigenetic information but rather likely code for epigenetic information as modified states. Importantly\, many of these chromatin enzymes and readers have since been implicated in various types of human cancers\, indicating an important role of chromatin regulation in tumorigenesis.\n\nMore recently\, we have also been studying RNA modifications and how they impact gene expression regulation. In many ways this exciting field parallels the early days of chromatin biochemistry and biology\, i.e.\, the nature and the biological and pathological functions of RNA modifications\, as well as the enzymes responsible for writing\, erasing and reading them\, are just beginning to be understood.\n\nAt Ludwig Oxford\, my lab is focusing on two questions. First\, how to convert “cold tumors to “hot” and how to sustain durable responses to cancer immune checkpoint blockade therapy. Second\, how to induce therapeutic differentiation of cancers\, using acute myeloid leukemia and diffuse intrinsic pontine glioma as models where chromatin/epigenetics have been shown to play a crucial role in the maintenance of a poorly differentiated state.
UID:143395-21893072@events.umich.edu
URL:https://events.umich.edu/event/143395
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Information and Technology
LOCATION:
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DTSTAMP:20260107T120540
DTSTART;TZID=America/Detroit:20260921T110000
DTEND;TZID=America/Detroit:20260921T120000
SUMMARY:Lecture / Discussion:Human Genetics Research Seminar Series
DESCRIPTION:Monday\, September 21\, 2026\n11:00am - 12:00pm\nLocation TBD\n\nIra Hall\, PhD\nProfessor of Genetics\nDirector of the Yale Center for Genomic Health\nYale School of Medicine\n“Seminar Title TBD”\n\nHosted By: Ryan Mills\, PhD\, Department of Human Genetics\n___\nDr. Hall's research career spans the fields of genetics\, genomics\, bioinformatics and data science. He received a B.A. in Integrative Biology from the University of California at Berkeley (1998)\, and worked as a technician for 2 years in Sarah Hake's plant genetics group at the USDA/ARS Plant Gene Expression Center. He received his Ph.D. in genetics from Cold Spring Harbor Laboratory (2003)\, where his work in Shiv Grewal's laboratory established the first direct link between RNA interference and chromatin-based epigenetic inheritance. As a postdoc with Michael Wigler (2004) and independent Cold Spring Harbor Laboratory Fellow (2004-2007)\, Dr. Hall used microarray technologies and mouse strain genealogies to conduct the first systematic study of DNA copy number variation hotspots. As a faculty member at the University of Virginia (2007-2014)\, Washington University (2014-2020) and Yale (2020-present)\, his work has sought to understand the causes and consequences of genome variation in mammals\, with an increasing focus on computational methods development and human genetics. His group has developed bioinformatics tools for variant detection\, variant interpretation\, sequence alignment\, data processing\, and data integration. He has led genome-wide studies of human genome variation\, heritable gene expression variation\, human genetic disorders\, tumor evolution\, mouse strain variation\, genome stability in reprogrammed stem cells\, and single-neuron somatic mosaicism in the human brain. Dr. Hall's work has been featured in Science Magazine's Breakthrough of the Year (2003 & 2007)\, the NIMH Director's \"Ten Best of 2013\" and The Scientist (2013)\, and he has received several prestigious awards including the AAAS Newcomb Cleveland Prize (2003)\, the Burroughs Wellcome Fund Career Award (2006)\, the NIH Director's New Innovator Award (2009)\, and the March of Dimes Basil O'Connor Research Award (2010). He has also served as an Associate Editor at Genome Research (2009-2014) and Genes\, Genomes and Genetics (2011-2018).\n\nMost recently\, Dr. Hall has played a leadership role in several large collaborative projects funded by NIH/NHGRI including the Centers for Common Disease Genomics\, the AnVIL cloud-based data repository and analysis platform\, and the Human Pangenome Project. His current work is focused on two broad goals: (1) mapping variants and genes that confer risk to human disease\, with ongoing projects focused on coronary artery disease and cardiometabolic traits in unique and underrepresented populations\, and (2) developing methods for the detection and interpretation of human genome variation\, with an emphasis on structural variation and other difficult-to-detect forms\, and on comprehensive trait association in human disease studies.
UID:143396-21893071@events.umich.edu
URL:https://events.umich.edu/event/143396
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Information and Technology
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BEGIN:VEVENT
DTSTAMP:20260107T120553
DTSTART;TZID=America/Detroit:20261012T110000
DTEND;TZID=America/Detroit:20261012T120000
SUMMARY:Lecture / Discussion:Human Genetics Research Seminar Series
DESCRIPTION:Monday\, October 12\, 2026\n11:00am - 12:00pm\nLocation TBD\n\nMalia Fullerton\, DPhil\nAdjunct Professor\, Epidemiology\nProfessor\, Bioethics and Humanities\nAdjunct Professor\, Genome Sciences\nAdjunct Professor\, Medicine - Medical Genetics\nActing/Interim Center/Institute Director\, School of Public Health\nUniversity of Washington\n“Seminar Title TBD”\n\nHosted By: Wendy R. Uhlmann\, Department of Human Genetics\n___\nStephanie Malia Fullerton\, DPhil\, is Professor of Bioethics and Humanities at the University of Washington School of Medicine. She is also Adjunct Professor in the UW Departments of Epidemiology\, Genome Sciences\, and Medicine (Medical Genetics)\, as well as an affiliate investigator with the Public Health Sciences division of the Fred Hutchinson Cancer Research Center. She received a PhD in Human Population Genetics from the University of Oxford and later re-trained in Ethical\, Legal\, and Social Implications (ELSI) research with a fellowship from the NIH National Human Genome Research Institute.\n\nDr. Fullerton’s work focuses on the ethical and social implications of genomic research and its equitable and safe translation for clinical and public health benefit. She serves as the ELSI lead for the Clinical Sequencing Evidence-Generating Research (CSER2) Consortium coordinating center\, co-chairs the TOPMed Consortium ELSI Committee\, and chairs the Bioethics Advisory Board of the Kaiser Permanente national Research Bank. She contributes to a range of empirical projects focused on clinical genomics translation and precision medicine approaches to the treatment and prevention of cancer and kidney disease in diverse patient populations.
UID:143398-21893070@events.umich.edu
URL:https://events.umich.edu/event/143398
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Information and Technology
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