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DTSTART:20070311T020000
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BEGIN:VEVENT
DTSTAMP:20260514T113417
DTSTART;TZID=America/Detroit:20260531T180000
DTEND;TZID=America/Detroit:20260531T200000
SUMMARY:Conference / Symposium:Digital IDEAS Summer Institute
DESCRIPTION:Digital IDEAS is the Digital Studies Institute’s annual summer institute exploring the cultural\, political\, and social dimensions of digital technologies. Bringing together graduate students\, artists\, scholars\, technologists\, and activists from across disciplines\, the institute creates space for collaborative inquiry\, experimentation\, and critical dialogue around technology\, media\, and justice.\n\nThe 2026 Digital IDEAS theme\, AFTER\, asks participants to consider what comes after technological\, environmental\, political\, and social rupture. Through the interconnected strands of Aftermaths\, Afterlives\, Afterworlds\, and the Hereafter\, participants will explore questions of memory\, survival\, repair\, speculation\, and collective futures in relation to digital culture and emerging technologies.\n\nDigital IDEAS 2026 will take place May 31–June 5 at the University of Michigan. This year’s institute is a closed event for registered participants and invited guests only.\n\nDigital IDEAS 2026 is co-sponsored by the Department of Afroamerican and African Studies\; Department of American Culture\; Department of English Language and Literature\; Department of Film\, Television\, and Media\; Department of Sociology\; Institute for Research on Women and Gender\; Life Changing Education\; Michigan Institute for Data and AI in Society\; School of Information\; and Sweetland Center for Writing.\n\nIf you have any questions\, please contact Sarah Torsch\, DSI Academic Program Specialist\, at dsi-studentservices@umich.edu
UID:148175-21903184@events.umich.edu
URL:https://events.umich.edu/event/148175
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:digital,Digital Culture,Digital Cultures,Digital Scholarship,Digital Studies,Digital Studies Institute,digital technology
LOCATION:LSA Building - 1040
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260514T113417
DTSTART;TZID=America/Detroit:20260601T090000
DTEND;TZID=America/Detroit:20260601T170000
SUMMARY:Conference / Symposium:Digital IDEAS Summer Institute
DESCRIPTION:Digital IDEAS is the Digital Studies Institute’s annual summer institute exploring the cultural\, political\, and social dimensions of digital technologies. Bringing together graduate students\, artists\, scholars\, technologists\, and activists from across disciplines\, the institute creates space for collaborative inquiry\, experimentation\, and critical dialogue around technology\, media\, and justice.\n\nThe 2026 Digital IDEAS theme\, AFTER\, asks participants to consider what comes after technological\, environmental\, political\, and social rupture. Through the interconnected strands of Aftermaths\, Afterlives\, Afterworlds\, and the Hereafter\, participants will explore questions of memory\, survival\, repair\, speculation\, and collective futures in relation to digital culture and emerging technologies.\n\nDigital IDEAS 2026 will take place May 31–June 5 at the University of Michigan. This year’s institute is a closed event for registered participants and invited guests only.\n\nDigital IDEAS 2026 is co-sponsored by the Department of Afroamerican and African Studies\; Department of American Culture\; Department of English Language and Literature\; Department of Film\, Television\, and Media\; Department of Sociology\; Institute for Research on Women and Gender\; Life Changing Education\; Michigan Institute for Data and AI in Society\; School of Information\; and Sweetland Center for Writing.\n\nIf you have any questions\, please contact Sarah Torsch\, DSI Academic Program Specialist\, at dsi-studentservices@umich.edu
UID:148175-21903185@events.umich.edu
URL:https://events.umich.edu/event/148175
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:digital,Digital Culture,Digital Cultures,Digital Scholarship,Digital Studies,Digital Studies Institute,digital technology
LOCATION:LSA Building - 1040
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260514T113417
DTSTART;TZID=America/Detroit:20260602T090000
DTEND;TZID=America/Detroit:20260602T170000
SUMMARY:Conference / Symposium:Digital IDEAS Summer Institute
DESCRIPTION:Digital IDEAS is the Digital Studies Institute’s annual summer institute exploring the cultural\, political\, and social dimensions of digital technologies. Bringing together graduate students\, artists\, scholars\, technologists\, and activists from across disciplines\, the institute creates space for collaborative inquiry\, experimentation\, and critical dialogue around technology\, media\, and justice.\n\nThe 2026 Digital IDEAS theme\, AFTER\, asks participants to consider what comes after technological\, environmental\, political\, and social rupture. Through the interconnected strands of Aftermaths\, Afterlives\, Afterworlds\, and the Hereafter\, participants will explore questions of memory\, survival\, repair\, speculation\, and collective futures in relation to digital culture and emerging technologies.\n\nDigital IDEAS 2026 will take place May 31–June 5 at the University of Michigan. This year’s institute is a closed event for registered participants and invited guests only.\n\nDigital IDEAS 2026 is co-sponsored by the Department of Afroamerican and African Studies\; Department of American Culture\; Department of English Language and Literature\; Department of Film\, Television\, and Media\; Department of Sociology\; Institute for Research on Women and Gender\; Life Changing Education\; Michigan Institute for Data and AI in Society\; School of Information\; and Sweetland Center for Writing.\n\nIf you have any questions\, please contact Sarah Torsch\, DSI Academic Program Specialist\, at dsi-studentservices@umich.edu
UID:148175-21903186@events.umich.edu
URL:https://events.umich.edu/event/148175
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:digital,Digital Culture,Digital Cultures,Digital Scholarship,Digital Studies,Digital Studies Institute,digital technology
LOCATION:LSA Building - 1040
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260514T113417
DTSTART;TZID=America/Detroit:20260603T090000
DTEND;TZID=America/Detroit:20260603T170000
SUMMARY:Conference / Symposium:Digital IDEAS Summer Institute
DESCRIPTION:Digital IDEAS is the Digital Studies Institute’s annual summer institute exploring the cultural\, political\, and social dimensions of digital technologies. Bringing together graduate students\, artists\, scholars\, technologists\, and activists from across disciplines\, the institute creates space for collaborative inquiry\, experimentation\, and critical dialogue around technology\, media\, and justice.\n\nThe 2026 Digital IDEAS theme\, AFTER\, asks participants to consider what comes after technological\, environmental\, political\, and social rupture. Through the interconnected strands of Aftermaths\, Afterlives\, Afterworlds\, and the Hereafter\, participants will explore questions of memory\, survival\, repair\, speculation\, and collective futures in relation to digital culture and emerging technologies.\n\nDigital IDEAS 2026 will take place May 31–June 5 at the University of Michigan. This year’s institute is a closed event for registered participants and invited guests only.\n\nDigital IDEAS 2026 is co-sponsored by the Department of Afroamerican and African Studies\; Department of American Culture\; Department of English Language and Literature\; Department of Film\, Television\, and Media\; Department of Sociology\; Institute for Research on Women and Gender\; Life Changing Education\; Michigan Institute for Data and AI in Society\; School of Information\; and Sweetland Center for Writing.\n\nIf you have any questions\, please contact Sarah Torsch\, DSI Academic Program Specialist\, at dsi-studentservices@umich.edu
UID:148175-21903187@events.umich.edu
URL:https://events.umich.edu/event/148175
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:digital,Digital Culture,Digital Cultures,Digital Scholarship,Digital Studies,Digital Studies Institute,digital technology
LOCATION:LSA Building - Room 1040
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260514T113417
DTSTART;TZID=America/Detroit:20260604T090000
DTEND;TZID=America/Detroit:20260604T170000
SUMMARY:Conference / Symposium:Digital IDEAS Summer Institute
DESCRIPTION:Digital IDEAS is the Digital Studies Institute’s annual summer institute exploring the cultural\, political\, and social dimensions of digital technologies. Bringing together graduate students\, artists\, scholars\, technologists\, and activists from across disciplines\, the institute creates space for collaborative inquiry\, experimentation\, and critical dialogue around technology\, media\, and justice.\n\nThe 2026 Digital IDEAS theme\, AFTER\, asks participants to consider what comes after technological\, environmental\, political\, and social rupture. Through the interconnected strands of Aftermaths\, Afterlives\, Afterworlds\, and the Hereafter\, participants will explore questions of memory\, survival\, repair\, speculation\, and collective futures in relation to digital culture and emerging technologies.\n\nDigital IDEAS 2026 will take place May 31–June 5 at the University of Michigan. This year’s institute is a closed event for registered participants and invited guests only.\n\nDigital IDEAS 2026 is co-sponsored by the Department of Afroamerican and African Studies\; Department of American Culture\; Department of English Language and Literature\; Department of Film\, Television\, and Media\; Department of Sociology\; Institute for Research on Women and Gender\; Life Changing Education\; Michigan Institute for Data and AI in Society\; School of Information\; and Sweetland Center for Writing.\n\nIf you have any questions\, please contact Sarah Torsch\, DSI Academic Program Specialist\, at dsi-studentservices@umich.edu
UID:148175-21903188@events.umich.edu
URL:https://events.umich.edu/event/148175
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:digital,Digital Culture,Digital Cultures,Digital Scholarship,Digital Studies,Digital Studies Institute,digital technology
LOCATION:LSA Building - 1040
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260514T113417
DTSTART;TZID=America/Detroit:20260605T090000
DTEND;TZID=America/Detroit:20260605T150000
SUMMARY:Conference / Symposium:Digital IDEAS Summer Institute
DESCRIPTION:Digital IDEAS is the Digital Studies Institute’s annual summer institute exploring the cultural\, political\, and social dimensions of digital technologies. Bringing together graduate students\, artists\, scholars\, technologists\, and activists from across disciplines\, the institute creates space for collaborative inquiry\, experimentation\, and critical dialogue around technology\, media\, and justice.\n\nThe 2026 Digital IDEAS theme\, AFTER\, asks participants to consider what comes after technological\, environmental\, political\, and social rupture. Through the interconnected strands of Aftermaths\, Afterlives\, Afterworlds\, and the Hereafter\, participants will explore questions of memory\, survival\, repair\, speculation\, and collective futures in relation to digital culture and emerging technologies.\n\nDigital IDEAS 2026 will take place May 31–June 5 at the University of Michigan. This year’s institute is a closed event for registered participants and invited guests only.\n\nDigital IDEAS 2026 is co-sponsored by the Department of Afroamerican and African Studies\; Department of American Culture\; Department of English Language and Literature\; Department of Film\, Television\, and Media\; Department of Sociology\; Institute for Research on Women and Gender\; Life Changing Education\; Michigan Institute for Data and AI in Society\; School of Information\; and Sweetland Center for Writing.\n\nIf you have any questions\, please contact Sarah Torsch\, DSI Academic Program Specialist\, at dsi-studentservices@umich.edu
UID:148175-21903189@events.umich.edu
URL:https://events.umich.edu/event/148175
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:digital,Digital Culture,Digital Cultures,Digital Scholarship,Digital Studies,Digital Studies Institute,digital technology
LOCATION:LSA Building - Room 1040
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260408T103429
DTSTART;TZID=America/Detroit:20260622T080000
DTEND;TZID=America/Detroit:20260622T164500
SUMMARY:Workshop / Seminar:Biomedical Data Science Summer Academy
DESCRIPTION:Academy Overview\nThe Biomedical Summer Academy will introduce participants to key concepts of data science and artificial intelligence\, showing how they can be leveraged in biomedical research and incorporated into grant proposals. Previous course topics have included introductions to Python programming\, machine learning techniques\, and use-case examples.\n\nParticipants are expected to bring a laptop for the academy.\n\nTopics:\n\nKey concepts of data science\nIntroduction to Python programming and its use in data science\nMachine learning techniques\, including support vector machines\, artificial neural networks\, and deep learning\nExamples of biomedical research projects that leverage data science\nIncorporating data science into biomedical grant proposals
UID:147529-21901182@events.umich.edu
URL:https://events.umich.edu/event/147529
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Ai,Artificial Intelligence,Biomedical,Biosciences,Data Science,Medicine,Research
LOCATION:
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260408T103429
DTSTART;TZID=America/Detroit:20260623T080000
DTEND;TZID=America/Detroit:20260623T164500
SUMMARY:Workshop / Seminar:Biomedical Data Science Summer Academy
DESCRIPTION:Academy Overview\nThe Biomedical Summer Academy will introduce participants to key concepts of data science and artificial intelligence\, showing how they can be leveraged in biomedical research and incorporated into grant proposals. Previous course topics have included introductions to Python programming\, machine learning techniques\, and use-case examples.\n\nParticipants are expected to bring a laptop for the academy.\n\nTopics:\n\nKey concepts of data science\nIntroduction to Python programming and its use in data science\nMachine learning techniques\, including support vector machines\, artificial neural networks\, and deep learning\nExamples of biomedical research projects that leverage data science\nIncorporating data science into biomedical grant proposals
UID:147529-21901183@events.umich.edu
URL:https://events.umich.edu/event/147529
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Ai,Artificial Intelligence,Biomedical,Biosciences,Data Science,Medicine,Research
LOCATION:
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260408T103429
DTSTART;TZID=America/Detroit:20260624T080000
DTEND;TZID=America/Detroit:20260624T164500
SUMMARY:Workshop / Seminar:Biomedical Data Science Summer Academy
DESCRIPTION:Academy Overview\nThe Biomedical Summer Academy will introduce participants to key concepts of data science and artificial intelligence\, showing how they can be leveraged in biomedical research and incorporated into grant proposals. Previous course topics have included introductions to Python programming\, machine learning techniques\, and use-case examples.\n\nParticipants are expected to bring a laptop for the academy.\n\nTopics:\n\nKey concepts of data science\nIntroduction to Python programming and its use in data science\nMachine learning techniques\, including support vector machines\, artificial neural networks\, and deep learning\nExamples of biomedical research projects that leverage data science\nIncorporating data science into biomedical grant proposals
UID:147529-21901184@events.umich.edu
URL:https://events.umich.edu/event/147529
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Ai,Artificial Intelligence,Biomedical,Biosciences,Data Science,Medicine,Research
LOCATION:
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260408T103429
DTSTART;TZID=America/Detroit:20260625T080000
DTEND;TZID=America/Detroit:20260625T164500
SUMMARY:Workshop / Seminar:Biomedical Data Science Summer Academy
DESCRIPTION:Academy Overview\nThe Biomedical Summer Academy will introduce participants to key concepts of data science and artificial intelligence\, showing how they can be leveraged in biomedical research and incorporated into grant proposals. Previous course topics have included introductions to Python programming\, machine learning techniques\, and use-case examples.\n\nParticipants are expected to bring a laptop for the academy.\n\nTopics:\n\nKey concepts of data science\nIntroduction to Python programming and its use in data science\nMachine learning techniques\, including support vector machines\, artificial neural networks\, and deep learning\nExamples of biomedical research projects that leverage data science\nIncorporating data science into biomedical grant proposals
UID:147529-21901185@events.umich.edu
URL:https://events.umich.edu/event/147529
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Ai,Artificial Intelligence,Biomedical,Biosciences,Data Science,Medicine,Research
LOCATION:
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260408T103429
DTSTART;TZID=America/Detroit:20260626T080000
DTEND;TZID=America/Detroit:20260626T164500
SUMMARY:Workshop / Seminar:Biomedical Data Science Summer Academy
DESCRIPTION:Academy Overview\nThe Biomedical Summer Academy will introduce participants to key concepts of data science and artificial intelligence\, showing how they can be leveraged in biomedical research and incorporated into grant proposals. Previous course topics have included introductions to Python programming\, machine learning techniques\, and use-case examples.\n\nParticipants are expected to bring a laptop for the academy.\n\nTopics:\n\nKey concepts of data science\nIntroduction to Python programming and its use in data science\nMachine learning techniques\, including support vector machines\, artificial neural networks\, and deep learning\nExamples of biomedical research projects that leverage data science\nIncorporating data science into biomedical grant proposals
UID:147529-21901186@events.umich.edu
URL:https://events.umich.edu/event/147529
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Ai,Artificial Intelligence,Biomedical,Biosciences,Data Science,Medicine,Research
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:Ai,Ai In Science And Engineering,Artificial Intelligence,data,Data Science,Electrical And Computer Engineering,Electrical Engineering and Computer Science,Engineering,Engineering Academic Calendar,Graduate,Graduate School,Graduate Students,Industrial and Operations Engineering,Information and Technology,Literature Science And The Arts,Mechanical Engineering,Michigan Engineering,Michigan Robotics,Naval Architecture and Marine Engineering,Postdoctoral Research Fellows,Professional Development,Rackham,Science
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:Ai,Ai In Science And Engineering,Artificial Intelligence,data,Data Science,Electrical And Computer Engineering,Electrical Engineering and Computer Science,Engineering,Engineering Academic Calendar,Graduate,Graduate School,Graduate Students,Industrial and Operations Engineering,Information and Technology,Literature Science And The Arts,Mechanical Engineering,Michigan Engineering,Michigan Robotics,Naval Architecture and Marine Engineering,Postdoctoral Research Fellows,Professional Development,Rackham,Science
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:Ai,Ai In Science And Engineering,Artificial Intelligence,data,Data Science,Electrical And Computer Engineering,Electrical Engineering and Computer Science,Engineering,Engineering Academic Calendar,Graduate,Graduate School,Graduate Students,Industrial and Operations Engineering,Information and Technology,Literature Science And The Arts,Mechanical Engineering,Michigan Engineering,Michigan Robotics,Naval Architecture and Marine Engineering,Postdoctoral Research Fellows,Professional Development,Rackham,Science
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:Ai,Ai In Science And Engineering,Artificial Intelligence,data,Data Science,Electrical And Computer Engineering,Electrical Engineering and Computer Science,Engineering,Engineering Academic Calendar,Graduate,Graduate School,Graduate Students,Industrial and Operations Engineering,Information and Technology,Literature Science And The Arts,Mechanical Engineering,Michigan Engineering,Michigan Robotics,Naval Architecture and Marine Engineering,Postdoctoral Research Fellows,Professional Development,Rackham,Science
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:Ai,Ai In Science And Engineering,Artificial Intelligence,data,Data Science,Electrical And Computer Engineering,Electrical Engineering and Computer Science,Engineering,Engineering Academic Calendar,Graduate,Graduate School,Graduate Students,Industrial and Operations Engineering,Information and Technology,Literature Science And The Arts,Mechanical Engineering,Michigan Engineering,Michigan Robotics,Naval Architecture and Marine Engineering,Postdoctoral Research Fellows,Professional Development,Rackham,Science
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:Ai,Ai In Science And Engineering,Artificial Intelligence,data,Data Science,Electrical And Computer Engineering,Electrical Engineering and Computer Science,Engineering,Engineering Academic Calendar,Graduate,Graduate School,Graduate Students,Industrial and Operations Engineering,Information and Technology,Literature Science And The Arts,Mechanical Engineering,Michigan Engineering,Michigan Robotics,Naval Architecture and Marine Engineering,Postdoctoral Research Fellows,Professional Development,Rackham,Science
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:Ai,Ai In Science And Engineering,Artificial Intelligence,data,Data Science,Electrical And Computer Engineering,Electrical Engineering and Computer Science,Engineering,Engineering Academic Calendar,Graduate,Graduate School,Graduate Students,Industrial and Operations Engineering,Information and Technology,Literature Science And The Arts,Mechanical Engineering,Michigan Engineering,Michigan Robotics,Naval Architecture and Marine Engineering,Postdoctoral Research Fellows,Professional Development,Rackham,Science
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:Ai,Ai In Science And Engineering,Artificial Intelligence,data,Data Science,Electrical And Computer Engineering,Electrical Engineering and Computer Science,Engineering,Engineering Academic Calendar,Graduate,Graduate School,Graduate Students,Industrial and Operations Engineering,Information and Technology,Literature Science And The Arts,Mechanical Engineering,Michigan Engineering,Michigan Robotics,Naval Architecture and Marine Engineering,Postdoctoral Research Fellows,Professional Development,Rackham,Science
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:Ai,Ai In Science And Engineering,Artificial Intelligence,data,Data Science,Electrical And Computer Engineering,Electrical Engineering and Computer Science,Engineering,Engineering Academic Calendar,Graduate,Graduate School,Graduate Students,Industrial and Operations Engineering,Information and Technology,Literature Science And The Arts,Mechanical Engineering,Michigan Engineering,Michigan Robotics,Naval Architecture and Marine Engineering,Postdoctoral Research Fellows,Professional Development,Rackham,Science
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:Ai,Ai In Science And Engineering,Artificial Intelligence,data,Data Science,Electrical And Computer Engineering,Electrical Engineering and Computer Science,Engineering,Engineering Academic Calendar,Graduate,Graduate School,Graduate Students,Industrial and Operations Engineering,Information and Technology,Literature Science And The Arts,Mechanical Engineering,Michigan Engineering,Michigan Robotics,Naval Architecture and Marine Engineering,Postdoctoral Research Fellows,Professional Development,Rackham,Science
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:Ai,Ai In Science And Engineering,Artificial Intelligence,data,Data Science,Electrical And Computer Engineering,Electrical Engineering and Computer Science,Engineering,Engineering Academic Calendar,Graduate,Graduate School,Graduate Students,Industrial and Operations Engineering,Information and Technology,Literature Science And The Arts,Mechanical Engineering,Michigan Engineering,Michigan Robotics,Naval Architecture and Marine Engineering,Postdoctoral Research Fellows,Professional Development,Rackham,Science
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:Ai,Ai In Science And Engineering,Artificial Intelligence,data,Data Science,Electrical And Computer Engineering,Electrical Engineering and Computer Science,Engineering,Engineering Academic Calendar,Graduate,Graduate School,Graduate Students,Industrial and Operations Engineering,Information and Technology,Literature Science And The Arts,Mechanical Engineering,Michigan Engineering,Michigan Robotics,Naval Architecture and Marine Engineering,Postdoctoral Research Fellows,Professional Development,Rackham,Science
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:Ai,Ai In Science And Engineering,Artificial Intelligence,data,Data Science,Electrical And Computer Engineering,Electrical Engineering and Computer Science,Engineering,Engineering Academic Calendar,Graduate,Graduate School,Graduate Students,Industrial and Operations Engineering,Information and Technology,Literature Science And The Arts,Mechanical Engineering,Michigan Engineering,Michigan Robotics,Naval Architecture and Marine Engineering,Postdoctoral Research Fellows,Professional Development,Rackham,Science
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:Ai,Ai In Science And Engineering,Artificial Intelligence,data,Data Science,Electrical And Computer Engineering,Electrical Engineering and Computer Science,Engineering,Engineering Academic Calendar,Graduate,Graduate School,Graduate Students,Industrial and Operations Engineering,Information and Technology,Literature Science And The Arts,Mechanical Engineering,Michigan Engineering,Michigan Robotics,Naval Architecture and Marine Engineering,Postdoctoral Research Fellows,Professional Development,Rackham,Science
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:Ai,Ai In Science And Engineering,Artificial Intelligence,data,Data Science,Electrical And Computer Engineering,Electrical Engineering and Computer Science,Engineering,Engineering Academic Calendar,Graduate,Graduate School,Graduate Students,Industrial and Operations Engineering,Information and Technology,Literature Science And The Arts,Mechanical Engineering,Michigan Engineering,Michigan Robotics,Naval Architecture and Marine Engineering,Postdoctoral Research Fellows,Professional Development,Rackham,Science
LOCATION:
CONTACT:
END:VEVENT
END:VCALENDAR