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His research focuses on how the human brain creates and makes sense of language, drawing on theories and methods from linguistics, neuroscience, and computer science. This research is funded in part by the National Science Foundation and National Institutes of Health. He recieved his PhD in 2010 from New York University and completed post-doctoral training at the Children's Hospital of Philadelphia. He received the Early Career Award from the Society for the Neurobiology of Language in 2019 and is the author, in 2022, of \"Language and the Brain: A slim guide to Neurolinguistics.\r\n\r\nHrithik Ravi is an AI researcher currently working with Prof. Rada Mihalcea and Prof. Ambuj Tewari to explain why AIs can't solve\u00a0basic\u00a0planning and reasoning tasks. He completed his BSE in Computer Science and MS in Machine Learning, both at the University of Michigan. His previous research mathematically proved how AI generalizes on inputs it didn't see during training,\u00a0and was\u00a0published at a prestigious international AI conference. He aims to start a PhD next year, and conduct deep research to\u00a0develop a better, rigorous understanding of AI's capabilities and limitations. You can follow him on Twitter (@r1pster7).\r\n\r\nModerator: Rada Mihalcea is the Janice M. Jenkins Professor of Computer Science and Engineering at the University of Michigan and the Director of the Michigan Artificial Intelligence Lab. Her research interests are in natural language processing, with a focus on multimodal processing and computational social sciences. She is an ACM Fellow, a AAAI Fellow, and served as ACL President (2018-2022 Vice\/Past). 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We demonstrate how this framework enables seamless retrofitting of existing computational workflows (Hamiltonian neural networks, tensor Graph Convolutional Networks) and extends to tensor group symmetry theory for equivariant learning applications. This work opens pathways to new tensorial algebras that can reveal deeper patterns in high-dimensional information previously inaccessible to traditional methods.\r\n\r\nThursday, September 11, 4 pm, East Hall 4448: From Big Data to Right Data: Information-Theoretic Optimal Experimental Design\r\nThis lecture addresses the modern paradox where unprecedented data accumulation capabilities make selective identification of informative samples more critical than ever for meaningful model development. We review theoretical foundations of experimental design within inverse problems frameworks, examining strategies for well-posed and ill-posed settings while establishing approaches for design preferences, budget allocation, and risk assessment. Through information-theoretic principles, we demonstrate how optimal experimental design creates a paradigm shift from data volume to information content, with transformative implications for resource-constrained scientific methodology.\r\n\r\nDr. Lior Horesh is a Principal Research Scientist, Master Inventor and a Senior Manager of the \u200eMathematics & Theoretical Computer Science (formerly Mathematics of AI) department at IBM Research. His department\u2019s mission is to approach some of the big \u200echallenges the field of AI is facing, from a principled mathematical angle. Additionally, Dr. Horesh \u200eholds an adjunct Associate Professor position at the Computer Science department of Columbia \u200eUniversity where he teaches graduate level Advanced Machine Learning and Quantum Computing \u200ecourses. 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Existing university policies defer the responsibility of checking for the correctness and appropriateness of LLM responses to students and assume that they will have the required knowledge and skills to do so on their own. This lecture teaches attendees how to critically engage with LLMs to understand their strengths and weaknesses. As part of the lecture, the attendees engage in a hands-on activity to evaluate an LLM provided by the university; first by themselves, and then with a scaffolded design probe that guides them through an end-user auditing exercise. \r\n\r\nBiography\r\nNikola Banovic, Ph.D., is an Associate Professor of Computer Science and Engineering and an Associate Director of Michigan Institute for Data and AI in Society at the University of Michigan, Ann Arbor. His research broadly focuses on Human-AI Interaction, Explainable AI (XAI), and Responsible AI. In particular, he has taken a keen interest in developing methods to explain the decisions of Artificial Intelligence (AI) systems to end-users without computer science backgrounds. Nikola\u2019s research focuses on using explanations to raise end-user AI literacy, which in turn could help them detect and counter untrustworthy AI. Before joining the University of Michigan, Nikola received his Ph.D. degree from the Human-Computer Interaction Institute (HCII) at Carnegie Mellon University, and his B.Sc. and M.Sc. degrees from the University of Toronto. Nikola\u2019s work has been recognized with an NSF CAREER award, and best paper and honorable mention awards at premier HCI conferences.", "occurrence_notes":null, "guid":"139515-21885680@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/139515", "building_id":"1005451", "building_name":"Central Campus Classroom Building", "building_official_id":1005451, "campus_maps_id":"652", "campus_maps_link_path":"central-campus-classroom-building", "campus_maps_link":"https:\/\/maps.studentlife.umich.edu\/building\/central-campus-classroom-building", "room":"3420", "location_name":"Central Campus Classroom Building", "has_livestream":0, "cost":"", "tags":["Generative Ai"], "website":"https:\/\/midas.umich.edu\/events\/how-do-i-know-i-can-trust-chatgpt-how-to-critically-engage-with-generative-ai\/", "links":[ { "type":"other", "url":"https:\/\/midas.umich.edu\/events\/how-do-i-know-i-can-trust-chatgpt-how-to-critically-engage-with-generative-ai\/", "title":"Event Website" }, { "type":"registration", "url":"https:\/\/myumi.ch\/w932d", "title":"Event Registration" } ], "sponsors":[ { "group_name":"Michigan Institute for Data and AI in Society MIDAS", "group_id":"3521", "website":"" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2025\/09\/event_139515_original-1.jpg", "image_description":"Photo of Nikola Banovic smiling at the camera", "styled_images":{ "event_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_thumb\/media\/attachments\/2025\/09\/event_139515_original-1.jpg", "event_large":"https:\/\/events.umich.edu\/media\/cache\/event_large\/media\/attachments\/2025\/09\/event_139515_original-1.jpg", "event_large_2x":"https:\/\/events.umich.edu\/media\/cache\/resolve\/event_large_2x\/media\/attachments\/2025\/09\/event_139515_original-1.jpg", "event_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/event_large_lightbox\/media\/attachments\/2025\/09\/event_139515_original-1.jpg", "group_thumb":"https:\/\/events.umich.edu\/media\/cache\/resolve\/group_thumb\/media\/attachments\/2025\/09\/event_139515_original-1.jpg", "group_thumb_square":"https:\/\/events.umich.edu\/media\/cache\/resolve\/group_thumb_square\/media\/attachments\/2025\/09\/event_139515_original-1.jpg", "group_large":"https:\/\/events.umich.edu\/media\/cache\/resolve\/group_large\/media\/attachments\/2025\/09\/event_139515_original-1.jpg", "group_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/resolve\/group_large_lightbox\/media\/attachments\/2025\/09\/event_139515_original-1.jpg", "event_large_crop":"https:\/\/events.umich.edu\/media\/cache\/resolve\/event_large_crop\/media\/attachments\/2025\/09\/event_139515_original-1.jpg", "event_list":"https:\/\/events.umich.edu\/media\/cache\/event_list\/media\/attachments\/2025\/09\/event_139515_original-1.jpg", "event_list_2x":"https:\/\/events.umich.edu\/media\/cache\/event_list_2x\/media\/attachments\/2025\/09\/event_139515_original-1.jpg", "event_grid":"https:\/\/events.umich.edu\/media\/cache\/event_grid\/media\/attachments\/2025\/09\/event_139515_original-1.jpg", "event_grid_2x":"https:\/\/events.umich.edu\/media\/cache\/resolve\/event_grid_2x\/media\/attachments\/2025\/09\/event_139515_original-1.jpg", "event_feature_large":"https:\/\/events.umich.edu\/media\/cache\/resolve\/event_feature_large\/media\/attachments\/2025\/09\/event_139515_original-1.jpg", "event_feature_thumb":"https:\/\/events.umich.edu\/media\/cache\/resolve\/event_feature_thumb\/media\/attachments\/2025\/09\/event_139515_original-1.jpg" }, "qr_code_url":"http:\/\/events.umich.edu\/event\/139515\/qrcode.png", "occurrence_count":1, "first_occurrence":21885680 } , { "id":"139610-21885795", "datetime_modified":"20250919T142343", "datetime_start":"20251014T085500", "datetime_end":"20251014T170000", "has_end_time":1, "date_start":"2025-10-14", "date_end":"2025-10-14", "time_start":"08:55:00", "time_end":"17:00:00", "time_zone":"America\/Detroit", "event_title":"Michigan AI Symposium", "occurrence_title":"", "combined_title":"Michigan AI Symposium: AI for Science", "event_subtitle":"AI for Science", "event_type":"Conference \/ Symposium", "event_type_id":"5", "description":"Join us for a day of AI: Research Talks, Demos, Posters, & Panel!\r\n\r\nAs Artificial intelligence advances rapidly in areas such as data modeling and pattern recognition, researchers are increasingly applying these tools to accelerate scientific discovery. The 8th annual Michigan AI Symposium will be dedicated to exploring AI for Science. Speakers and panelists from both academia and industry will present the latest AI research on how AI is transforming fields such as biology, physics, chemistry, and climate science. This event is hosted by the Michigan Artificial Intelligence Laboratory.\r\n\r\nOur symposium aims to bring together participants from both academia and industry who are interested in the foundations or real-life applications of artificial intelligence.\r\n\r\nThe symposium will take place on North Campus, in Stamps Auditorium in the Walgreen Drama Center with a poster session in Tishman Hall of the Bob & Betty Beyster Building\r\n\r\nRegistration\r\n8:00 AM Registration opens (T-shirts giveaway!) Lobby \u2013 Stamps Auditorium\r\n\r\nWelcome & Introduction to the Michigan AI Lab\r\n8:55 AM Rada Mihalcea, Director, Michigan AI Lab\r\n9:00 AM Arthur Lupia, Vice President for Research & Innovation\r\n9:07 AM Danai Koutra & JJ Park, Co-Chairs, AI Symposium\r\n\r\nSession One | Chair: Danai Koutra\r\n9:15 AM Carla Gomes, Computing and Information Science, Cornell University\r\n\u2013TBD\r\n\r\n10:15 AM Joy Hsu, Stanford University\r\n\u2013Building Neuro-Symbolic Multimodal Systems for Science\r\n\r\n10:25 AM Simran Khanuja, Carnegie Mellon University\r\n\u2013Towards Culturally Inclusive Multimodal Systems\r\n\r\n10:35 AM Giannas Daras, MIT\r\n\u2013Generative Models Wear Glasses: Learning from Imperfect Data with Ambient Diffusion\r\n\r\nCoffee Break\r\n10:45 AM Lobby \u2013 Stamps Auditorium\r\n\r\nSession Two | Chair: David Jurgens\r\n11:05 AM Alexander Rodriguez, Computer Science & Engineering, University of Michigan\r\n\u2013Where Equations Meet Data: Bridging AI and Scientific Models in Health\r\n\r\n11:30 AM Vivek Gopalakrishnan, Harvard, MIT\r\n\u2013Augmented Vision for Surgeons (and Robots) via Patient-Specific Machine Learning Models\r\n\r\n11:40 AM Shirley Wu, Stanford University\r\n\u2013Towards Collaborative and Human-centric AI Agents\r\n\r\n11:50 AM Rebecca Lindsey, Chemical Engineering, University of Michigan\r\n\u2013Efficient Machine Learning and AI for Materials Research: Scalable Models for Anyone, Anywhere\r\n\r\n12:15 PM Posters & Demos Pitch\r\n\r\nResearch Poster & Demo Session | Chairs: Serafina Kamp & Run Peng\r\n12:30 PM Lunch in Tishman Hall. Research Posters & Demos Session in both Tishman Hall & Stamps Lobby\r\n\r\nSession Three | Chair: JJ Park\r\n2:00 PM Ricardo Vinuesa, Aerospace Engineering, University of Michigan\r\n\u2013Improving turbulence control through explainable deep learning\r\n\r\n3:00 PM Congyue Deng, MIT\r\n\u2013Denoising Hamiltonian Network for Physical Reasoning\r\n\r\n3:10 PM Mosharaf Chowdhury, University of Michigan\r\n\u2013Sustained Scientific Discovery Requires Energy-Optimal AI Agents\r\n\r\n\r\nCoffee Break\r\n3:35 PM Lobby \u2013 Stamps Auditorium\r\n\r\nSession Four | Chair: TBD\r\n3:55 PM Panel Discussion on AI & GenAI for Science\r\n\u2013Carla Gomes, Ricardo Vinuesa, JJ Park, Karthik Duraisamy\r\n\r\n4:55 PM Closing Remarks & Awards\r\n\r\nSponsored by:", "occurrence_notes":"Talks will be in Stamps Auditorium, Poster & Demo Session will be split between Stamps & Tishman Hall", "guid":"139610-21885795@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/139610", "building_id":"1005059", "building_name":"Walgreen Drama Center", "building_official_id":1005059, "campus_maps_id":"526", "campus_maps_link_path":"charles-r-walgreen-jr-drama-center", "campus_maps_link":"https:\/\/maps.studentlife.umich.edu\/building\/charles-r-walgreen-jr-drama-center", "room":"Stamps Auditorium & Tishman Hall (BBB)", "location_name":"Walgreen Drama Center", "has_livestream":0, "cost":"Attendee registration will incur a per person cost for members of the general public. Registration includes a light breakfast, lunch, and coffee breaks. Current University of Michigan students, faculty, and staff may register for the symposium for free.", "tags":["Generative Ai"], "website":"https:\/\/ai.engin.umich.edu\/events\/2025-ai-symposium\/", "links":[ { "type":"other", "url":"https:\/\/ai.engin.umich.edu\/events\/2025-ai-symposium\/", "title":"AI Symposium Event Page" }, { "type":"registration", "url":"https:\/\/umich-ssc.jotform.com\/251556695236971", "title":"Symposium Registration" } ], "sponsors":[ { "group_name":"Michigan Artificial Intelligence Laboratory", "group_id":"4254", "website":"" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2025\/09\/event_139610_original-1.jpg", "image_description":"hand holding science related icons, text saying AI for Science, October 14", "styled_images":{ "event_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_thumb\/media\/attachments\/2025\/09\/event_139610_original-1.jpg", "event_large":"https:\/\/events.umich.edu\/media\/cache\/event_large\/media\/attachments\/2025\/09\/event_139610_original-1.jpg", "event_large_2x":"https:\/\/events.umich.edu\/media\/cache\/resolve\/event_large_2x\/media\/attachments\/2025\/09\/event_139610_original-1.jpg", "event_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/event_large_lightbox\/media\/attachments\/2025\/09\/event_139610_original-1.jpg", "group_thumb":"https:\/\/events.umich.edu\/media\/cache\/resolve\/group_thumb\/media\/attachments\/2025\/09\/event_139610_original-1.jpg", "group_thumb_square":"https:\/\/events.umich.edu\/media\/cache\/resolve\/group_thumb_square\/media\/attachments\/2025\/09\/event_139610_original-1.jpg", "group_large":"https:\/\/events.umich.edu\/media\/cache\/resolve\/group_large\/media\/attachments\/2025\/09\/event_139610_original-1.jpg", "group_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/group_large_lightbox\/media\/attachments\/2025\/09\/event_139610_original-1.jpg", "event_large_crop":"https:\/\/events.umich.edu\/media\/cache\/resolve\/event_large_crop\/media\/attachments\/2025\/09\/event_139610_original-1.jpg", "event_list":"https:\/\/events.umich.edu\/media\/cache\/event_list\/media\/attachments\/2025\/09\/event_139610_original-1.jpg", "event_list_2x":"https:\/\/events.umich.edu\/media\/cache\/event_list_2x\/media\/attachments\/2025\/09\/event_139610_original-1.jpg", "event_grid":"https:\/\/events.umich.edu\/media\/cache\/event_grid\/media\/attachments\/2025\/09\/event_139610_original-1.jpg", "event_grid_2x":"https:\/\/events.umich.edu\/media\/cache\/resolve\/event_grid_2x\/media\/attachments\/2025\/09\/event_139610_original-1.jpg", "event_feature_large":"https:\/\/events.umich.edu\/media\/cache\/resolve\/event_feature_large\/media\/attachments\/2025\/09\/event_139610_original-1.jpg", "event_feature_thumb":"https:\/\/events.umich.edu\/media\/cache\/resolve\/event_feature_thumb\/media\/attachments\/2025\/09\/event_139610_original-1.jpg" }, "qr_code_url":"http:\/\/events.umich.edu\/event\/139610\/qrcode.png", "occurrence_count":1, "first_occurrence":21885795 } , { "id":"137736-21880661", "datetime_modified":"20251010T105431", "datetime_start":"20251016T180000", "datetime_end":"20251016T193000", "has_end_time":1, "date_start":"2025-10-16", "date_end":"2025-10-16", "time_start":"18:00:00", "time_end":"19:30:00", "time_zone":"America\/Detroit", "event_title":"Data & AI in Society Lecture Series | Translating AI Innovations into Solutions in the Global South", "occurrence_title":"", "combined_title":"Data & AI in Society Lecture Series | Translating AI Innovations into Solutions in the Global South: P. Anandan, Researcher in computer vision and artificial intelligence", "event_subtitle":"P. Anandan, Researcher in computer vision and artificial intelligence", "event_type":"Lecture \/ Discussion", "event_type_id":"13", "description":"Abstract:\r\nAccording to Kentaro Toyama, technology predominantly acts as an amplifier of human effort and the strength of institutions. In this presentation, I will share examples from India and other developing nations that demonstrate how AI-powered solutions are being designed, implemented, and scaled to improve people\u2019s lives, in manner consistent with Kentaro\u2019s observation.\r\n\r\nEach project narrative will explore how specific problems were selected, the significant constraints and opportunities encountered during the design and development phases, and the approaches taken for implementation. The discussion will also address the challenges and possibilities associated with scaling these solutions.\r\n\r\nA central lesson from these experiences is the necessity for what I call \u201cradical collaboration.\u201d This involves bringing together a diverse group of contributors\u2014technology specialists, implementing organizations, subject matter experts, donors, and government agencies. Through these case studies, I will illustrate how such deep collaboration can turn AI-driven innovations into effective solutions for challenges in the developing world.\r\n\r\nMeet P. Anandan:\r\nA renowned researcher in computer vision and artificial intelligence, Anandan\u2019s career spans over 30 years in academia and industry in the US and in India. Padmanabhan Anandan was the CEO of Wadhwani Institute for Artificial Intelligence and independent not-for-profit Research Institute focused on developing AI based applications for Social Good and prior to that he was Vice President for Research at Adobe Systems. Anandan started his career at Microsoft as a principal researcher and head of the Interactive Visual Media Research group in Redmond, WA, in 1997. He then moved on to launch Microsoft Research India in December 2004 and became the managing director through 2014. He decided to return to Redmond in 2014 to lead the academic outreach group until 2016. Prior to Microsoft he was professor of AI at Yale University. 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Following an overview of existing opportunities, a panel of recent fellowship recipients will answer questions. 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This dynamic workshop will teach you how to create a GPT trained on your custom dataset (Google Drive, Dropbox, or website URLs) to extract valuable insights, discover patterns, and gain deeper knowledge based on your dataset.\r\n\r\nU-M staff, faculty, instructors, and all other interested parties are welcome to attend\u2013bring a laptop to work from and any questions you may have about Maizey!\r\n\r\nPlease register for this event on Sessions: https:\/\/myumi.ch\/jJVp5\r\n\r\n**For questions, please reach out to makeamaizey@umich.edu**", "occurrence_notes":null, "guid":"135907-21885599@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/135907", "building_id":"1000742", "building_name":"Campus Safety Services Building", "building_official_id":1000742, "campus_maps_id":"30", "campus_maps_link_path":"campus-safety-services-building", "campus_maps_link":"https:\/\/maps.studentlife.umich.edu\/building\/campus-safety-services-building", "room":"Kipke Conference Center, Room 2029", "location_name":"Campus Safety Services Building", "has_livestream":0, "cost":"", "tags":["Generative Ai"], "website":"https:\/\/sessions.studentlife.umich.edu\/track\/event\/19494", "links":[ { "type":"registration", "url":"https:\/\/sessions.studentlife.umich.edu\/track\/event\/19494", "title":"Register on Sessions" } ], "sponsors":[ { "group_name":"Information and Technology Services (ITS)", "group_id":"1179", "website":"https:\/\/x.com\/umichTECH" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2025\/05\/event_135907_original-1.png", "image_description":"Gender nondescript robot wearing a maize shirt with a blue block M sits behind a laptop at a desk", "styled_images":{ "event_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_thumb\/media\/attachments\/2025\/05\/event_135907_original-1.png", "event_large":"https:\/\/events.umich.edu\/media\/cache\/event_large\/media\/attachments\/2025\/05\/event_135907_original-1.png", "event_large_2x":"https:\/\/events.umich.edu\/media\/cache\/event_large_2x\/media\/attachments\/2025\/05\/event_135907_original-1.png", "event_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/event_large_lightbox\/media\/attachments\/2025\/05\/event_135907_original-1.png", "group_thumb":"https:\/\/events.umich.edu\/media\/cache\/group_thumb\/media\/attachments\/2025\/05\/event_135907_original-1.png", "group_thumb_square":"https:\/\/events.umich.edu\/media\/cache\/group_thumb_square\/media\/attachments\/2025\/05\/event_135907_original-1.png", "group_large":"https:\/\/events.umich.edu\/media\/cache\/group_large\/media\/attachments\/2025\/05\/event_135907_original-1.png", "group_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/group_large_lightbox\/media\/attachments\/2025\/05\/event_135907_original-1.png", "event_large_crop":"https:\/\/events.umich.edu\/media\/cache\/event_large_crop\/media\/attachments\/2025\/05\/event_135907_original-1.png", "event_list":"https:\/\/events.umich.edu\/media\/cache\/event_list\/media\/attachments\/2025\/05\/event_135907_original-1.png", "event_list_2x":"https:\/\/events.umich.edu\/media\/cache\/event_list_2x\/media\/attachments\/2025\/05\/event_135907_original-1.png", "event_grid":"https:\/\/events.umich.edu\/media\/cache\/event_grid\/media\/attachments\/2025\/05\/event_135907_original-1.png", "event_grid_2x":"https:\/\/events.umich.edu\/media\/cache\/event_grid_2x\/media\/attachments\/2025\/05\/event_135907_original-1.png", "event_feature_large":"https:\/\/events.umich.edu\/media\/cache\/event_feature_large\/media\/attachments\/2025\/05\/event_135907_original-1.png", "event_feature_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_feature_thumb\/media\/attachments\/2025\/05\/event_135907_original-1.png" }, "qr_code_url":"http:\/\/events.umich.edu\/event\/135907\/qrcode.png", "occurrence_count":5, "first_occurrence":21883159 } , { "id":"139617-21885799", "datetime_modified":"20251010T105644", "datetime_start":"20251112T110000", "datetime_end":"20251112T120000", "has_end_time":1, "date_start":"2025-11-12", "date_end":"2025-11-12", "time_start":"11:00:00", "time_end":"12:00:00", "time_zone":"America\/Detroit", "event_title":"Generative AI Tutorial: How To Use GenAI for Coding", "occurrence_title":"", "combined_title":"Generative AI Tutorial: How To Use GenAI for Coding: Seth Temple", "event_subtitle":"Seth Temple", "event_type":"Workshop \/ Seminar", "event_type_id":"21", "description":"In this hands-on tutorial, we will demonstrate how to (and how not to) use GenAI tools like GPT for writing, debugging, and documenting research code. 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Join us for a thought-provoking panel discussion featuring current and former presidents and provosts from leading universities, as they explore the impact of technology and artificial intelligence on the future of higher education. Leaders will share their insights on the opportunities and challenges presented by the rapid evolution of AI, from its role in personalized learning to its implications for academic integrity and the curriculum.\r\n\r\nThis is an essential conversation for anyone invested in the future of academia, providing a unique perspective on how to lead in an era of unprecedented technological change.\r\n\r\nDiscussion and questions are encouraged.\r\n\r\n*Panelists:*\r\n*Amy Dittmar* - Howard R. Hughes Provost and Executive Vice President for Academic Affairs, Rice University\r\n*Martha Pollack* - President Emerita, Cornell University\r\n*Lynn Perry Wooten* - President, Simmons University\r\n\r\n*Moderator:*\r\nJames DeVaney - Special Advisor to the President; Founding Executive Director of the Center for Academic Innovation; Associate Vice Provost for Academic Innovation\r\n\r\n*About Amy Dittmar*\r\nAmy Dittmar is a distinguished scholar with an extensive background in economics, finance, and university administration. She is the provost, as well as a professor of economics and finance, at Rice University.\r\n\r\nAs the Howard R. Hughes provost at Rice, she oversees the university's academic enterprise, including direct reporting relationships for the deans of eight schools, the dean of undergraduates, the dean of graduate and postdoctoral studies, vice president of enrollment, associate provost for digital learning, and other key leaders.\r\n\r\nDittmar led the university\u2019s strategic planning, Momentous, launching a strategic plan in 2024. Dittmar is overseeing Rice\u2019s substantial growth with an expanding student body, strategic increase in faculty, and several capital projects to support the university\u2019s research and educational mission.\r\n\r\nPrior to coming to Rice, Dittmar was a faculty and served in several administrative roles at the University of Michigan.\r\n\r\n*About Martha Pollack*\r\nMartha E. Pollack is President Emerita of Cornell University (2017-2024), where she was also Professor of Computer Science, Information Science, and Linguistics. She previously spent 17 years at the University of Michigan, as a faculty member and in a number of administrative roles, including Provost. Her Ph.D. and M.S.E. degrees in computer and information science are from the University of Pennsylvania; her bachelor\u2019s degree in linguistics is from Dartmouth College. A fellow of the American Academy of Arts and Sciences, the Association for the Advancement of Artificial Intelligence, the Association for Computing Machinery, and the American Association for the Advancement of Science, she is also a member of the Board of Directors of IBM.\r\n\r\n*About Lynn Perry Wooten*\r\nLynn Perry Wooten, PhD, is the ninth president of Simmons University and an organizational development scholar. Since assuming the presidency on July 1, 2020, she has led Simmons Strategy 2027, a comprehensive plan to strengthen the university\u2019s financial model, reimagine academics, and foster a thriving campus culture. Among its hallmarks is the Simmons Edge, an accelerated program that connects undergraduate education with career preparation and graduate study. Dr. Wooten previously served as the David J. Nolan Dean at Cornell University\u2019s Dyson School and spent nearly two decades on the faculty of the University of Michigan Ross School of Business.\r\n\r\n*About James DeVaney*\r\nJames DeVaney serves as Special Advisor to the President, Associate Vice Provost for Academic Innovation, and Founding Executive Director of the Center for Academic Innovation at the University of Michigan. He provides leadership at the intersection of lifelong learning, AI and education, online learning, alternative credentials, and workforce development. James also directs Michigan Online, a key driver of U-M\u2019s life-changing education and broad public engagement strategy, reaching millions of learners across Michigan and around the world. He brings global experience in higher education strategy, having advised more than 75 universities and dozens of edtech companies across 15 countries. 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We\u2019ll cover what they notice, care about, and understand as it relates to online privacy and data security, and what researchers can explore next to continue child-centered conversations about how best to keep children safe online.\r\n\r\nDr. Lauren N. Girouard is a National Science Foundation postdoctoral research scholar at the University of Michigan and Harvard University, where she works with Drs. Susan Gelman, Ying Xu, and Jenny Radesky on projects examining children\u2019s beliefs about AI chatbots and how those beliefs translate into digital literacy in home and classroom environments. She graduated with her PhD in Experimental Psychology from the University of Louisville in May 2024. 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Whoever you are\u2026 we invite you to be a part of this \u201chackathon.\u201d You never know \u2014 you might start something that could develop into a new technology that would benefit the entire university.\n\nShare your talents \u2022 Create \u2022 Build relationships \u2022 Have fun\n\nFor more information and to register, visit: https:\/\/it.umich.edu\/community\/hacks-with-friends\/2026", "occurrence_notes":null, "guid":"145570-21897539@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/145570", "building_id":"1005188", "building_name":"Ross School of Business", "building_official_id":1005188, "campus_maps_id":"547", "campus_maps_link_path":"stephen-m-ross-school-of-business-building", "campus_maps_link":"https:\/\/maps.studentlife.umich.edu\/building\/stephen-m-ross-school-of-business-building", "room":"Winter Garden", "location_name":"Ross School of Business", "has_livestream":0, "cost":"", "tags":["Generative Ai"], "website":"https:\/\/it.umich.edu\/community\/hacks-with-friends\/2026", "links":[ { "type":"other", "url":"https:\/\/it.umich.edu\/community\/hacks-with-friends\/2026", "title":"Hacks with Friends 2026" }, { "type":"registration", "url":"https:\/\/sessions.studentlife.umich.edu\/p\/track\/16550", "title":"Register today!" }, { "type":"other", "url":"https:\/\/it.umich.edu\/community", "title":null } ], "sponsors":[ { "group_name":"Michigan Technology Community (MTC)", "group_id":"3372", "website":"https:\/\/it.umich.edu\/community" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2026\/02\/event_145570_original-1.png", "image_description":"Maize & blue event flyer with sponsor, title and date at top. 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Featuring David Rhew, MD, Chief Medical Officer at Microsoft, and Jim Mault, MD, Founder and chairman of Biointellisense. Text reads: Join industry and startup leaders as they break down how AI is transforming healthcare now and where it's headed next. Match 17, 2026 from 4pm to 6pm. Ross School of Business, Robertson Auditorium. 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Buskirk - Old Dominion University", "event_subtitle":"Trent D. Buskirk - Old Dominion University", "event_type":"Workshop \/ Seminar", "event_type_id":"21", "description":"MPSDS \/ JPSM Seminar Series\nMPSDS M3 Series: Mastery, Methodology, Meetups\n\nIn person, room 1070 Institute for Social Research, and via Zoom.\nThe Zoom call will be locked 10 minutes after the start of the presentation.\n\nFrom Survey to SurvAI: The Promises and Precautions of AI for Survey Research\n\nLarge language models (LLMs) are rapidly transforming many professional domains, including survey research. Eloundou et al. (2024) rank survey research among the most highly exposed occupations to LLM-driven automation, raising both opportunities and challenges for practitioners. While survey science has a rich tradition of adopting technological tools for tasks like data collection, analysis, and instrument design, the unique affordances and risks associated with LLMs call for a structured examination.\n\nThis paper presents findings from a systematic literature review of empirical and theoretical work at the intersection of LLMs and survey research. Specifically, we sought to synthesize examples of how LLMs are being applied across three broad phases of the survey research pipeline including: pre-data collection, data collection and post-data collection. Methodologically, this review identifies uneven distribution of LLM application across the survey pipeline. While pre-data collection stages (e.g., item writing, translation) are well explored, core practices like live interviewing, recruitment, and cross-lingual adaptation remain under-investigated. 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"date_end":"2026-04-16", "time_start":"18:00:00", "time_end":"19:30:00", "time_zone":"America\/Detroit", "event_title":"AI and Detroit\u2019s Census Challenge", "occurrence_title":"", "combined_title":"AI and Detroit\u2019s Census Challenge: Derek Van Berkel & Jeffrey Morenoff", "event_subtitle":"Derek Van Berkel & Jeffrey Morenoff", "event_type":"Lecture \/ Discussion", "event_type_id":"13", "description":"Abstract:\nThis talk explores how artificial intelligence (AI) and geospatial data can support cities to better understand housing conditions and improve population estimates. In collaboration with the City of Detroit, researchers at the University of Michigan are developing new tools that combine street-level imagery, remote sensing data, and AI models capable of interpreting visual information about buildings and neighborhoods. These tools can identify indicators such as roof damage, structural decay, or vegetation encroachment\u2014signals that may suggest vacancy, or blight.\n\nImportantly, the goal is not simply to automate housing assessments. Instead, the project adopts an approach in which municipal staff and communities guide, interpret, and validate AI-generated insights. By integrating technical innovation with existing city workflows, the collaboration aims to support Detroit\u2019s efforts to maintain accurate address records for the U.S. Census and improve housing data used for planning and investment decisions.\n\nThis work supports city efforts to improve housing and population data, while also helping strengthen communities. When residents are undercounted, cities risk losing tax revenue, federal funding, and even political representation. At the same time, urban blight and rapidly changing housing conditions make it difficult to maintain accurate records of which homes are occupied. In cities with large numbers of vacant, abandoned, or deteriorating structures, some inhabited homes may be mistakenly classified as vacant, leading to inaccurate population estimates and challenges for housing policy and neighborhood revitalization efforts. More broadly, this work highlights how partnerships between universities and local governments can support cities adopting AI tools responsibly while strengthening data-driven decision-making\n\nBiography:\nDr. Van Berkel is an assistant professor at The University of Michigan, School for Environment and Sustainability. His research focuses on understanding land change at diverse scales; the physical and psychological benefit of exposure to natural environments; and how digital visualization of data can add new place-based knowledge in science and community decision-making. He has expertise in spatial statistics, data science, big data, and machine learning. Van Berkel is currently a Co-PI on an NSF grant examining how online webtools can enable the public to co-create landscape designs for novel solutions to climate-change adaptation and mitigation in urban areas. He is also part of the NOAA funded GLISA project developing land change models to support knowledge discovery in municipalities throughout the Great Lake States. His work in AI focuses on deciphering complex sentiment from multimodal content, such as understanding image content and analyzing captions and tags posted by users, at scale. This research aims to provide objective measures of behavior and attitude for modeling diverse values and benefits of nature globally.\n\nJeffrey D. Morenoff is a professor of sociology, a research professor at the Institute for Social Research (ISR), and a professor of public policy at the Ford School. He is also director of the ISR Population Studies Center. Professor Morenoff\u2019s research interests include neighborhood environments, inequality, crime and criminal justice, the social determinants of health, racial\/ethnic\/immigrant disparities in health and antisocial behavior, and methods for analyzing multilevel and spatial data.", "occurrence_notes":null, "guid":"145245-21896923@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/145245", "building_id":"1000189", "building_name":"Dana Building", "building_official_id":1000189, "campus_maps_id":"627", "campus_maps_link_path":"samuel-trask-dana-building", "campus_maps_link":"https:\/\/maps.studentlife.umich.edu\/building\/samuel-trask-dana-building", "room":"1040", "location_name":"Dana Building", "has_livestream":0, "cost":"", "tags":["Generative Ai"], "website":"https:\/\/midas.umich.edu\/events\/ai-and-detroits-census-challenge\/", "links":[ { "type":"other", "url":"https:\/\/midas.umich.edu\/events\/ai-and-detroits-census-challenge\/", "title":"Event Website" }, { "type":"registration", "url":"https:\/\/docs.google.com\/forms\/d\/e\/1FAIpQLSfHoZ-7ln1eiuw3Ql2-MY6nSg3-4cHRUEK5HOQi8vHB9EGlHQ\/viewform", "title":"Event Registration" } ], "sponsors":[ { "group_name":"Michigan Institute for Data and AI in Society MIDAS", "group_id":"3521", "website":"" }, { "group_name":"School for Environment and Sustainability SEAS", "group_id":"1199", "website":"" }, { "group_name":"Gerald R. 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