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Victims can range from celebrities to politicians to everyday citizens to children. NCIM online is not a new problem \u2013 people\u2019s bodies and likeness have been captured, altered, and distributed online without their permission since the early days of the Internet. However, the scale and scope enabled by generative AI has dramatically changed the landscape of sexual harms. We will examine the legal and ethical concerns posed by non-consensual intimate content and explore the regulatory and technological measures needed to address it. We will also provide practical recommendations for requesting takedown of non-consensual content after it happens.\r\n\r\nBiography\r\nSarita Schoenebeck is a Professor in the School of Information at the University of Michigan. Her research examines social and technical approaches to creating safer and more equitable experiences online. Her research has been covered in The New York Times, The Washington Post, NPR, and elsewhere. She has taught at Michigan and Yale Law Schools and is a Member of the Yale Justice Collaboratory. Sarita received her PhD in Human-Centered Computing from Georgia Tech.", "occurrence_notes":"Parking\/Accessibility Information For more information about visitor parking at the Palmer Drive parking structure located on Palmer Drive just west of Washtenaw Avenue, visit this site https:\/\/ltp.umich.edu and this site https:\/\/ltp.umich.edu\/lot\/?xyz=cd For information about the building accessibility and layout, please visit: https:\/\/palmercommons.umich.edu\/facility-information", "guid":"134568-21874535@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/134568", "building_id":"1005047", "building_name":"Palmer Commons", "building_official_id":1005047, "campus_maps_id":"188", "campus_maps_link_path":"palmer-commons", "campus_maps_link":"https:\/\/maps.studentlife.umich.edu\/building\/palmer-commons", "room":"Great Lakes Room North-Central", "location_name":"Palmer Commons", "has_livestream":0, "cost":"", "tags":["Data Science"], "website":"https:\/\/midas.umich.edu\/events\/generative-ai-and-sexual-harms\/", "links":[ { "type":"other", "url":"https:\/\/midas.umich.edu\/events\/generative-ai-and-sexual-harms\/", "title":"Event Website" }, { "type":"registration", "url":"https:\/\/docs.google.com\/forms\/d\/e\/1FAIpQLSe3QMBGlB7joXHY0rttvuFzRZUciMPS86_p1hjlsQoHC-z8GQ\/viewform?usp=dialog", "title":"Event Registration Form" }, { "type":"other", "url":"https:\/\/umich.us4.list-manage.com\/subscribe?u=11a2c501162c99d57ea79c14c&id=24e6ff2a09", "title":"MIDAS News Sign-Up" }, { "type":"twitter", "url":"https:\/\/twitter.com\/um_midas", "title":"MIDAS X\/Twitter" }, { "type":"linkedin", "url":"https:\/\/www.linkedin.com\/company\/michigan-institute-for-data-science-midas", "title":"MIDAS LinkedIn" } ], "sponsors":[ { "group_name":"Michigan Institute for Data & AI in Society (MIDAS)", "group_id":"5259", "website":"" }, { "group_name":"School of Information", "group_id":"1188", "website":"" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2025\/04\/event_134568_original-1.png", "image_description":"Poster of 2025\/04\/24 Lecture by Sarita Schoenebeck", "styled_images":{ "event_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_thumb\/media\/attachments\/2025\/04\/crop-event_134568_original-1.png", "event_large":"https:\/\/events.umich.edu\/media\/cache\/event_large\/media\/attachments\/2025\/04\/crop-event_134568_original-1.png", "event_large_2x":"https:\/\/events.umich.edu\/media\/cache\/event_large_2x\/media\/attachments\/2025\/04\/crop-event_134568_original-1.png", "event_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/event_large_lightbox\/media\/attachments\/2025\/04\/crop-event_134568_original-1.png", "group_thumb":"https:\/\/events.umich.edu\/media\/cache\/group_thumb\/media\/attachments\/2025\/04\/crop-event_134568_original-1.png", "group_thumb_square":"https:\/\/events.umich.edu\/media\/cache\/group_thumb_square\/media\/attachments\/2025\/04\/crop-event_134568_original-1.png", "group_large":"https:\/\/events.umich.edu\/media\/cache\/group_large\/media\/attachments\/2025\/04\/crop-event_134568_original-1.png", "group_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/group_large_lightbox\/media\/attachments\/2025\/04\/crop-event_134568_original-1.png", "event_large_crop":"https:\/\/events.umich.edu\/media\/cache\/event_large_crop\/media\/attachments\/2025\/04\/crop-event_134568_original-1.png", "event_list":"https:\/\/events.umich.edu\/media\/cache\/event_list\/media\/attachments\/2025\/04\/crop-event_134568_original-1.png", "event_list_2x":"https:\/\/events.umich.edu\/media\/cache\/event_list_2x\/media\/attachments\/2025\/04\/crop-event_134568_original-1.png", "event_grid":"https:\/\/events.umich.edu\/media\/cache\/event_grid\/media\/attachments\/2025\/04\/crop-event_134568_original-1.png", "event_grid_2x":"https:\/\/events.umich.edu\/media\/cache\/event_grid_2x\/media\/attachments\/2025\/04\/crop-event_134568_original-1.png", "event_feature_large":"https:\/\/events.umich.edu\/media\/cache\/event_feature_large\/media\/attachments\/2025\/04\/crop-event_134568_original-1.png", "event_feature_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_feature_thumb\/media\/attachments\/2025\/04\/crop-event_134568_original-1.png" }, "qr_code_url":"http:\/\/events.umich.edu\/event\/134568\/qrcode.png", "occurrence_count":1, "first_occurrence":21874535 } , { "id":"117253-21865828", "datetime_modified":"20250513T122307", "datetime_start":"20250429T093000", "datetime_end":"20250429T110000", "has_end_time":1, "date_start":"2025-04-29", "date_end":"2025-04-29", "time_start":"09:30:00", "time_end":"11:00:00", "time_zone":"America\/Detroit", "event_title":"CoderSpaces - 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Then we might have just the right space for you.\r\n\r\nAll members of the U-M community are invited to join our weekly virtual CoderSpaces to get research support and connect with others.\r\n\r\nTuesdays, 9:30-11 a.m. ET, via Zoom (Meeting ID:94181215786)\r\nWednesdays, 1:30-3 p.m. ET, via Zoom (Meeting ID: 98659357324)", "occurrence_notes":null, "guid":"117253-21865829@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/117253", "building_id":"", "building_name":"", "building_official_id":"", "campus_maps_id":"", "campus_maps_link_path":"", "campus_maps_link":"", "room":"", "location_name":null, "has_livestream":0, "cost":"", "tags":["Data Science"], "website":"", "links":[ ], "sponsors":[ { "group_name":"Institute for Social Research", "group_id":"3285", "website":"http:\/\/isr.umich.edu" } ], "image_url":"", "image_description":"", "styled_images":{ "event_thumb":"", "event_large":"", "event_large_2x":"", "event_large_lightbox":"", "group_thumb":"", "group_thumb_square":"", "group_large":"", "group_large_lightbox":"", "event_large_crop":"", "event_list":"", "event_list_2x":"", "event_grid":"", "event_grid_2x":"", "event_feature_large":"", "event_feature_thumb":"" }, "qr_code_url":"http:\/\/events.umich.edu\/event\/117253\/qrcode.png", "occurrence_count":53, "first_occurrence":21865812 } , { "id":"135281-21876562", "datetime_modified":"20250430T090609", "datetime_start":"20250506T140000", "datetime_end":"20250506T153000", "has_end_time":1, "date_start":"2025-05-06", "date_end":"2025-05-06", "time_start":"14:00:00", "time_end":"15:30:00", "time_zone":"America\/Detroit", "event_title":"SRC Seminar Series: Privacy, Data Privacy, and Differential Privacy", "occurrence_title":"", "combined_title":"SRC Seminar Series: Privacy, Data Privacy, and Differential Privacy: Xiao-Li Meng, Whipple V. 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By revisiting Warner's (1965, JASA) randomized response mechanism, we argue that this misperception lies in treating data as static objects, rather than realizations of underlying, typically interdependent attributes or variables. We show how DP's effectiveness can falter when adversaries exploit interdependencies among individuals\u2014similar to how quarantining only symptomatic individuals fails to stop an airborne disease. A holistic statistical perspective on joint modeling data is therefore as crucial for data privacy as for data analysis. (Joint work with James Bailie and Ruobin Gong.)\r\n\r\nBio:\r\nDr. Xiao-Li Meng is the Founding Editor-in-Chief of HDSR and the Whipple V. N. Jones Professor of Statistics, and the Founding Editor-in-Chief of Harvard Data Science Review, is well known for his depth and breadth in research, his innovation and passion in pedagogy, his vision and effectiveness in administration, as well as for his engaging and entertaining style as a speaker and writer. Meng was named the best statistician under the age of 40 by COPSS (Committee of Presidents of Statistical Societies) in 2001, and he is the recipient of numerous awards and honors for his more than 150 publications in at least a dozen theoretical and methodological areas, as well as in areas of pedagogy and professional development.", "occurrence_notes":null, "guid":"135281-21876562@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/135281", "building_id":"", "building_name":"Off Campus Location", "building_official_id":null, "campus_maps_id":"1", "campus_maps_link_path":"", "campus_maps_link":"", "room":"1430BD ISR Thompson", "location_name":"Virtual", "has_livestream":1, "livestream_type":"zoom", "livetream_require_login":0, "livestream_id":"93544359971", "livestream_password":"521025", "livestream_link":"https:\/\/umich.zoom.us\/j\/93544359971", "cost":"", "tags":["Data Science"], "website":"https:\/\/forms.gle\/dQs91LRuyFZjFjh59", "links":[ { "type":"other", "url":"https:\/\/forms.gle\/dQs91LRuyFZjFjh59", "title":"Register to attend" }, { "type":"other", "url":"https:\/\/calendar.google.com\/calendar\/event?action=TEMPLATE&tmeid=Njh0ZGpjb2czZzI1dTd0N3ViMTZmZmFxNnYgdW1pY2guZWR1X2M2MmdvZGM2MHBlYW0xNjZqaHA1NjFrc2JrQGc&tmsrc=umich.edu_c62godc60peam166jhp561ksbk%40group.calendar.google.com", "title":"Add to Calendar" }, { "type":"other", "url":"https:\/\/src.isr.umich.edu", "title":"SRC Website" } ], "sponsors":[ { "group_name":"Survey Research Center", "group_id":"5063", "website":"https:\/\/src.isr.umich.edu\/" }, { "group_name":"Institute for Social Research", "group_id":"3285", "website":"http:\/\/isr.umich.edu" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2025\/04\/event_135281_original-1.png", "image_description":"SRC Seminar Series Presents Privacy, Data Privacy, and Differential Privacy Xiao-Li Meng, Whipple V. 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Then we might have just the right space for you.\r\n\r\nAll members of the U-M community are invited to join our weekly virtual CoderSpaces to get research support and connect with others.\r\n\r\nTuesdays, 9:30-11 a.m. ET, via Zoom (Meeting ID:94181215786)\r\nWednesdays, 1:30-3 p.m. ET, via Zoom (Meeting ID: 98659357324)", "occurrence_notes":null, "guid":"117252-21865886@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/117252", "building_id":"", "building_name":"Off Campus Location", "building_official_id":null, "campus_maps_id":"1", "campus_maps_link_path":"", "campus_maps_link":"", "room":"", "location_name":"Virtual", "has_livestream":1, "livetream_require_login":1, "cost":"", "tags":["Data Science"], "website":"", "links":[ ], "sponsors":[ { "group_name":"Institute for Social Research", "group_id":"3285", "website":"http:\/\/isr.umich.edu" } ], "image_url":"", "image_description":"", "styled_images":{ "event_thumb":"", "event_large":"", "event_large_2x":"", "event_large_lightbox":"", "group_thumb":"", "group_thumb_square":"", "group_large":"", "group_large_lightbox":"", "event_large_crop":"", "event_list":"", "event_list_2x":"", "event_grid":"", "event_grid_2x":"", "event_feature_large":"", "event_feature_thumb":"" }, "qr_code_url":"http:\/\/events.umich.edu\/event\/117252\/qrcode.png", "occurrence_count":53, "first_occurrence":21865865 } , { "id":"135140-21876355", "datetime_modified":"20250513T133256", "datetime_start":"20250606T183000", "datetime_end":"20250606T193000", "has_end_time":1, "date_start":"2025-06-06", "date_end":"2025-06-06", "time_start":"18:30:00", "time_end":"19:30:00", "time_zone":"America\/Detroit", "event_title":"Friday Night AI", "occurrence_title":"", "combined_title":"Friday Night AI: Rethinking Privacy in the Age of AI: Who\u2019s Watching, Who\u2019s Protecting", "event_subtitle":"Rethinking Privacy in the Age of AI: Who\u2019s Watching, Who\u2019s Protecting", "event_type":"Workshop \/ Seminar", "event_type_id":"21", "description":"Panelists: Prof. Florian Schaubb, Prof.Roya Ensafi\r\nModerator: Prof. Rada Mihalcea\r\nInteractive Activities: Yara El-Tawil, Snehal Prabhudesai\r\nOrganizer: Michigan AI Lab, in collaboration with the Ann Arbor District Library\r\nWhen: June 6, 6:30pm \u2013 7:30pm\r\nWhere: AADL Ann Arbor downtown,1st Floor Lobby (343 S 5th Ave, Ann Arbor, MI 48104)\r\n\r\nAs artificial intelligence becomes increasingly embedded in our daily lives\u2014from personalized recommendations to censorship and surveillance\u2014questions about privacy have taken on new significance. What happens to the data we generate? Who has access, and how is it being used? While AI offers powerful tools for everything from fraud detection to healthcare, it also raises complex ethical and legal concerns around personal freedom, consent, and control over our digital identities. Join us for a conversation with experts in AI, digital rights, and censorship as we explore how emerging technologies are reshaping the boundaries of privacy. We\u2019ll discuss where protections are falling short, what policies are evolving, and how we can build systems that balance innovation with personal agency.\r\nWith interactive activities developed by graduate students Yara El-Tawil & Snehal Prabhudesai.\r\n\r\nAbout the speakers:\r\n\r\nFlorian Schaub is an associate professor of Information and of Electrical Engineering and Computer Science at the University of Michigan. His interdisciplinary research combines privacy, human-computer interaction, emerging technologies, and public policy. He studies people\u2019s privacy decision making and behavior, investigates technology-related privacy implications, and develops human-centric privacy solutions that help people better manage their privacy in technology contexts.. His research has been honored with the 2019 Caspar Bowden Award for Outstanding Research in Privacy Enhancing Technologies, and with best paper awards at the ACM SIGCHI Conference on Human Factors in Computing (CHI), the USENIX Security Symposium, and the Symposium on Usable Privacy and Security (SOUPS). Dr. Schaub is a DARPA Young Faculty Award recipient. His research has directly impacted industry practice and public policy, including the rulemaking process for the California Consumer Privacy Act (CCPA). Dr. Schaub and his work are frequently featured in national and international news media.\r\n\r\nRoya Ensafi is an associate professor of computer science and engineering at the University of Michigan, where her research focuses on Internet security and privacy, with the goal of creating techniques and systems to better protect users online. She is particularly passionate about online censorship, geo-discrimination, surveillance, and related threats to Internet freedom. Prof. Ensafi is the founder of Censored Planet, a global censorship observatory. She has studied Russia\u2019s throttling of Twitter, HTTPS interception in Kazakhstan, and China\u2019s Great Cannon attack, among many other instances of network interference. She is a recipient of the Sloan Research Fellowship, NSF CAREER, Google Faculty Research Award, multiple IRTF Applied Networking Research Prizes, and the Consumer Reports Digital Lab fellowship. Her work has been cited in popular publications such as The New York Times, Newsweek, Business Insider, Wired, and Ars Technica.\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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The course employs the Total Survey Error framework to discuss sampling frames and designs, modes of data collection and their effects on survey errors, the cognitive processes involved in answering survey questions and their impact on questionnaire design, pretesting methods and post-data collection processing. The goal of the course is to give an introduction to the skills and resources needed to design and conduct a survey. \r\n\r\nThe Summer Institute in Survey Research Techniques provides rigorous and high quality graduate level training in all phases of survey research. The noncredit courses are open to all. The courses are live online via Zoom. Registration and payment are required. Course fees are based on the total number of hours assigned to each course, the hours are listed on the course description. The 2025 schedule lists additional courses. If you have any questions regarding the application process, please use the online contact form or email the Summer Institute at isr-summer@umich.edu .\r\n\r\nThe program teaches state-of-the-art practice and theory in the design, implementation, and analysis of surveys. The Summer Institute in Survey Research Techniques has presented courses on the sample survey since the summer of 1948, and has offered such courses every summer since. The Summer Institute uses the sample survey as the basic instrument for the scientific measurement of human activity. 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Designing and Writing Questions for Surveys: Guidelines and Recommendations", "occurrence_title":"", "combined_title":"Summer Institute Course - Designing and Writing Questions for Surveys: Guidelines and Recommendations: Presented by Jennifer (Jen) Dykema", "event_subtitle":"Presented by Jennifer (Jen) Dykema", "event_type":"Class \/ Instruction", "event_type_id":"8", "description":"Designing and Writing Questions for Surveys: Guidelines and Recommendations\r\nJune 9-13, 2025\r\n1:00pm-4:00pm EDT\r\nLive Online via Zoom\r\n\r\nCourse Objectives\r\n\u2022 Introduce a structural analysis of parts of a survey question\r\n\u2022 Introduce cognitive interviewing as a method for testing survey questions\r\n\u2022 Describe guidelines for diagnosing problems in survey questions and writing new survey questions\r\n\u2022 Focus on the structure and wording of survey questions, whether for interviewer-administered or self- administered instruments\r\n\u2022 Provide an opportunity to apply the guidelines and principles during in-class exercises\r\n\u2022 Focus on improving individual questions and sets of questions.\r\n\u2022 Summarize research that underlies key decisions in writing survey questions.\r\n\r\nDescription\r\nThis workshop distills research about survey questions to principles that can be applied to write survey questions that are clear and obtain reliable answers. The workshop provides students with tools to use in diagnosing problems in survey questions and in writing their own survey questions. Sessions combine lecture with group exercises and discussion. The lecture provides guidelines for writing and revising survey questions and illustrates how to revise troubled questions. Assignments require that students analyze problematic questions, revise them, and administer them to fellow students. Sessions consider both questions about events and behaviors and questions about subjective phenomena (such as attitudes, evaluations, and internal\r\nstates).\r\n\r\nWho Should attend\r\nIndividuals who will be writing or reviewing survey questions or survey instruments or analyzing survey data. This course gives practical guidance to those who have written survey questions but who are not familiar with research on question design, those who are just beginning to design survey instruments, and those who use survey data but do not themselves design survey instruments.\r\n\r\nThe Summer Institute in Survey Research Techniques provides rigorous and high quality graduate level training in all phases of survey research. The noncredit courses are open to all. The courses are live online via Zoom. Registration and payment are required. Course fees are based on the total number of hours assigned to each course, the hours are listed on the course description. The 2025 schedule lists additional courses. If you have any questions regarding the application process, please use the online contact form or email the Summer Institute at isr-summer@umich.edu .\r\n\r\nThe program teaches state-of-the-art practice and theory in the design, implementation, and analysis of surveys. 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The workshop provides students with tools to use in diagnosing problems in survey questions and in writing their own survey questions. Sessions combine lecture with group exercises and discussion. The lecture provides guidelines for writing and revising survey questions and illustrates how to revise troubled questions. Assignments require that students analyze problematic questions, revise them, and administer them to fellow students. Sessions consider both questions about events and behaviors and questions about subjective phenomena (such as attitudes, evaluations, and internal\r\nstates).\r\n\r\nWho Should attend\r\nIndividuals who will be writing or reviewing survey questions or survey instruments or analyzing survey data. This course gives practical guidance to those who have written survey questions but who are not familiar with research on question design, those who are just beginning to design survey instruments, and those who use survey data but do not themselves design survey instruments.\r\n\r\nThe Summer Institute in Survey Research Techniques provides rigorous and high quality graduate level training in all phases of survey research. The noncredit courses are open to all. The courses are live online via Zoom. Registration and payment are required. Course fees are based on the total number of hours assigned to each course, the hours are listed on the course description. The 2025 schedule lists additional courses. If you have any questions regarding the application process, please use the online contact form or email the Summer Institute at isr-summer@umich.edu .\r\n\r\nThe program teaches state-of-the-art practice and theory in the design, implementation, and analysis of surveys. 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The course employs the Total Survey Error framework to discuss sampling frames and designs, modes of data collection and their effects on survey errors, the cognitive processes involved in answering survey questions and their impact on questionnaire design, pretesting methods and post-data collection processing. The goal of the course is to give an introduction to the skills and resources needed to design and conduct a survey. \r\n\r\nThe Summer Institute in Survey Research Techniques provides rigorous and high quality graduate level training in all phases of survey research. The noncredit courses are open to all. The courses are live online via Zoom. Registration and payment are required. Course fees are based on the total number of hours assigned to each course, the hours are listed on the course description. The 2025 schedule lists additional courses. 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Designing and Writing Questions for Surveys: Guidelines and Recommendations", "occurrence_title":"", "combined_title":"Summer Institute Course - Designing and Writing Questions for Surveys: Guidelines and Recommendations: Presented by Jennifer (Jen) Dykema", "event_subtitle":"Presented by Jennifer (Jen) Dykema", "event_type":"Class \/ Instruction", "event_type_id":"8", "description":"Designing and Writing Questions for Surveys: Guidelines and Recommendations\r\nJune 9-13, 2025\r\n1:00pm-4:00pm EDT\r\nLive Online via Zoom\r\n\r\nCourse Objectives\r\n\u2022 Introduce a structural analysis of parts of a survey question\r\n\u2022 Introduce cognitive interviewing as a method for testing survey questions\r\n\u2022 Describe guidelines for diagnosing problems in survey questions and writing new survey questions\r\n\u2022 Focus on the structure and wording of survey questions, whether for interviewer-administered or self- administered instruments\r\n\u2022 Provide an opportunity to apply the guidelines and principles during in-class exercises\r\n\u2022 Focus on improving individual questions and sets of questions.\r\n\u2022 Summarize research that underlies key decisions in writing survey questions.\r\n\r\nDescription\r\nThis workshop distills research about survey questions to principles that can be applied to write survey questions that are clear and obtain reliable answers. The workshop provides students with tools to use in diagnosing problems in survey questions and in writing their own survey questions. Sessions combine lecture with group exercises and discussion. The lecture provides guidelines for writing and revising survey questions and illustrates how to revise troubled questions. Assignments require that students analyze problematic questions, revise them, and administer them to fellow students. Sessions consider both questions about events and behaviors and questions about subjective phenomena (such as attitudes, evaluations, and internal\r\nstates).\r\n\r\nWho Should attend\r\nIndividuals who will be writing or reviewing survey questions or survey instruments or analyzing survey data. This course gives practical guidance to those who have written survey questions but who are not familiar with research on question design, those who are just beginning to design survey instruments, and those who use survey data but do not themselves design survey instruments.\r\n\r\nThe Summer Institute in Survey Research Techniques provides rigorous and high quality graduate level training in all phases of survey research. The noncredit courses are open to all. The courses are live online via Zoom. Registration and payment are required. Course fees are based on the total number of hours assigned to each course, the hours are listed on the course description. The 2025 schedule lists additional courses. If you have any questions regarding the application process, please use the online contact form or email the Summer Institute at isr-summer@umich.edu .\r\n\r\nThe program teaches state-of-the-art practice and theory in the design, implementation, and analysis of surveys. 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Then we might have just the right space for you.\r\n\r\nAll members of the U-M community are invited to join our weekly virtual CoderSpaces to get research support and connect with others.\r\n\r\nTuesdays, 9:30-11 a.m. ET, via Zoom (Meeting ID:94181215786)\r\nWednesdays, 1:30-3 p.m. ET, via Zoom (Meeting ID: 98659357324)", "occurrence_notes":null, "guid":"117252-21865887@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/117252", "building_id":"", "building_name":"Off Campus Location", "building_official_id":null, "campus_maps_id":"1", "campus_maps_link_path":"", "campus_maps_link":"", "room":"", "location_name":"Virtual", "has_livestream":1, "livetream_require_login":1, "cost":"", "tags":["Data Science"], "website":"", "links":[ ], "sponsors":[ { "group_name":"Institute for Social Research", "group_id":"3285", "website":"http:\/\/isr.umich.edu" } ], "image_url":"", "image_description":"", "styled_images":{ "event_thumb":"", "event_large":"", "event_large_2x":"", "event_large_lightbox":"", "group_thumb":"", "group_thumb_square":"", "group_large":"", "group_large_lightbox":"", "event_large_crop":"", "event_list":"", "event_list_2x":"", "event_grid":"", "event_grid_2x":"", "event_feature_large":"", "event_feature_thumb":"" }, "qr_code_url":"http:\/\/events.umich.edu\/event\/117252\/qrcode.png", "occurrence_count":53, "first_occurrence":21865865 } , { "id":"135992-21877633", "datetime_modified":"20250604T104248", "datetime_start":"20250612T090000", "datetime_end":"20250612T120000", "has_end_time":1, "date_start":"2025-06-12", "date_end":"2025-06-12", "time_start":"09:00:00", "time_end":"12:00:00", "time_zone":"America\/Detroit", "event_title":"Summer Institute Course - Introduction to Survey Methodology", "occurrence_title":"", "combined_title":"Summer Institute Course - Introduction to Survey Methodology: Presented by Emilia Peytcheva and Andy Peytchev", "event_subtitle":"Presented by Emilia Peytcheva and Andy Peytchev", "event_type":"Class \/ Instruction", "event_type_id":"8", "description":"Introduction to Survey Methodology\r\nJune 9-13, 2025\r\n9:00am-12:00pm EDT\r\nLive Online via Zoom\r\n\r\nIntroduction to Survey Methodology, a noncredit course, covers the basic principles of survey design and methods and introduces the necessary components of a good quality survey. The course employs the Total Survey Error framework to discuss sampling frames and designs, modes of data collection and their effects on survey errors, the cognitive processes involved in answering survey questions and their impact on questionnaire design, pretesting methods and post-data collection processing. The goal of the course is to give an introduction to the skills and resources needed to design and conduct a survey. \r\n\r\nThe Summer Institute in Survey Research Techniques provides rigorous and high quality graduate level training in all phases of survey research. The noncredit courses are open to all. The courses are live online via Zoom. Registration and payment are required. Course fees are based on the total number of hours assigned to each course, the hours are listed on the course description. The 2025 schedule lists additional courses. 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Designing and Writing Questions for Surveys: Guidelines and Recommendations", "occurrence_title":"", "combined_title":"Summer Institute Course - Designing and Writing Questions for Surveys: Guidelines and Recommendations: Presented by Jennifer (Jen) Dykema", "event_subtitle":"Presented by Jennifer (Jen) Dykema", "event_type":"Class \/ Instruction", "event_type_id":"8", "description":"Designing and Writing Questions for Surveys: Guidelines and Recommendations\r\nJune 9-13, 2025\r\n1:00pm-4:00pm EDT\r\nLive Online via Zoom\r\n\r\nCourse Objectives\r\n\u2022 Introduce a structural analysis of parts of a survey question\r\n\u2022 Introduce cognitive interviewing as a method for testing survey questions\r\n\u2022 Describe guidelines for diagnosing problems in survey questions and writing new survey questions\r\n\u2022 Focus on the structure and wording of survey questions, whether for interviewer-administered or self- administered instruments\r\n\u2022 Provide an opportunity to apply the guidelines and principles during in-class exercises\r\n\u2022 Focus on improving individual questions and sets of questions.\r\n\u2022 Summarize research that underlies key decisions in writing survey questions.\r\n\r\nDescription\r\nThis workshop distills research about survey questions to principles that can be applied to write survey questions that are clear and obtain reliable answers. The workshop provides students with tools to use in diagnosing problems in survey questions and in writing their own survey questions. Sessions combine lecture with group exercises and discussion. The lecture provides guidelines for writing and revising survey questions and illustrates how to revise troubled questions. Assignments require that students analyze problematic questions, revise them, and administer them to fellow students. Sessions consider both questions about events and behaviors and questions about subjective phenomena (such as attitudes, evaluations, and internal\r\nstates).\r\n\r\nWho Should attend\r\nIndividuals who will be writing or reviewing survey questions or survey instruments or analyzing survey data. This course gives practical guidance to those who have written survey questions but who are not familiar with research on question design, those who are just beginning to design survey instruments, and those who use survey data but do not themselves design survey instruments.\r\n\r\nThe Summer Institute in Survey Research Techniques provides rigorous and high quality graduate level training in all phases of survey research. The noncredit courses are open to all. The courses are live online via Zoom. Registration and payment are required. Course fees are based on the total number of hours assigned to each course, the hours are listed on the course description. The 2025 schedule lists additional courses. If you have any questions regarding the application process, please use the online contact form or email the Summer Institute at isr-summer@umich.edu .\r\n\r\nThe program teaches state-of-the-art practice and theory in the design, implementation, and analysis of surveys. 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The workshop provides students with tools to use in diagnosing problems in survey questions and in writing their own survey questions. Sessions combine lecture with group exercises and discussion. The lecture provides guidelines for writing and revising survey questions and illustrates how to revise troubled questions. Assignments require that students analyze problematic questions, revise them, and administer them to fellow students. Sessions consider both questions about events and behaviors and questions about subjective phenomena (such as attitudes, evaluations, and internal\r\nstates).\r\n\r\nWho Should attend\r\nIndividuals who will be writing or reviewing survey questions or survey instruments or analyzing survey data. This course gives practical guidance to those who have written survey questions but who are not familiar with research on question design, those who are just beginning to design survey instruments, and those who use survey data but do not themselves design survey instruments.\r\n\r\nThe Summer Institute in Survey Research Techniques provides rigorous and high quality graduate level training in all phases of survey research. The noncredit courses are open to all. The courses are live online via Zoom. Registration and payment are required. Course fees are based on the total number of hours assigned to each course, the hours are listed on the course description. The 2025 schedule lists additional courses. If you have any questions regarding the application process, please use the online contact form or email the Summer Institute at isr-summer@umich.edu .\r\n\r\nThe program teaches state-of-the-art practice and theory in the design, implementation, and analysis of surveys. 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This dissertation presents a computational framework that leverages machine learning, computer vision, large\u2010language models, and novel mathematical methods to extract, analyze, and interpret leaf traits at scale. By combining lineage\u2010specific approaches with broad comparative analyses, it establishes procedures for measuring traits across these vast datasets.\r\nChapter 2 introduces LeafMachine2, a modular machine\u2010learning pipeline that automates quantitative trait extraction from digitized herbarium specimens. Trained on nearly half a million manual annotations from over two thousand species, LeafMachine2 employs multiple neural networks to detect and segment individual leaves, recognize rulers and labels, and identify pseudo\u2010landmarks such as midvein length, petiole length, and lobe positions. 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Coupled with a Raspberry Pi-based mobile imaging apparatus (FieldStation), FieldPrism automatically corrects image distortion, computes pixel\u2010to\u2010metric conversion, decodes QR codes to assign meaningful file names, and embeds GPS metadata. Validation tests across smartphone, mirrorless, and machine\u2010vision cameras demonstrate high accuracy in scale conversion and reliable QR code decoding at typical working distances. FieldPrism enables the creation of \u201csnapshot vouchers\u201d that complement physical voucher specimens, opening new possibilities for citizen science and field\u2010based trait collection.\r\nChapter 4 explores the integration of large language models (LLMs) into herbarium label transcription. VoucherVision combines optical character recognition with LLM\u2010based parsing to transform unstructured OCR text into structured spreadsheet entries. In practice, VoucherVision increased transcription productivity by 25 percent over manual workflows. This chapter also examines potential risks like job displacement, copyright and data sovereignty issues, model permanence, and outlines a collaborative benchmarking initiative to develop fine\u2010tuned, community\u2010driven LLM solutions that respect data ownership and ensure reproducibility.\r\nChapter 5 applies LeafMachine2, Euler characteristic transform (ECT), and a novel geomorphon\u2010based classification to analyze 4.6 million individual leaf outlines from nearly half a million herbarium specimens, covering 12 angiosperm families and close to seven thousand species. ECT matrices capture topological signatures of each leaf outline, while geomorphon analysis distills leaf margin features into continuous and categorical metrics that quantify toothedness and lobedness. By integrating WorldClim bioclimatic layers with dated phylogenies and analyzing the dataset using linear mixed-effects and phylogenetic regression models, I demonstrate that the canonical climate\u2013leaf trait associations\u2014larger, entire-margined leaves in warmer, wetter environments and more toothed or lobed leaves in cooler, drier locations\u2014are clade-specific rather than universal across angiosperms. Instead, family\u2010 and genus\u2010specific evolutionary regimes emerge. Phylogenetic correction often weakens climate-leaf area associations while strengthening leaf shape associations with minimum temperatures. Correlated\u2010trait analyses reveal that margin\u2010type evolution is climate\u2010dependent in some woody clades but independent in many herbaceous groups. 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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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Where Granularity Matters: Calibrating Subdomain Inference for Binary Outcomes", "occurrence_title":"", "combined_title":"MPSDS JPSM Seminar Series - Where Granularity Matters: Calibrating Subdomain Inference for Binary Outcomes: Yajuan Si - Research Associate Professor in the Institute for Social Research at the University of Michigan", "event_subtitle":"Yajuan Si - Research Associate Professor in the Institute for Social Research at the University of Michigan", "event_type":"Presentation", "event_type_id":"16", "description":"MPSDS JPSM Seminar Series\r\nMPSDS M3 Series\r\n\r\nSeptember 3, 2025\r\n12:00 - 1:00 pm EST\r\n\r\nIn person, room 1070, Institute for Social Research and via Zoom.\r\nThe Zoom call will be locked 10 minutes after the start of the presentation.\r\n\r\nWhere Granularity Matters: Calibrating Subdomain Inference for Binary Outcomes\r\nSmall area estimation (SAE) helps us make accurate estimates for local communities or groups, such as counties, neighborhoods, or demographic subgroups, when there are not enough data for each area. This is important for targeting local resources and policies, especially when national-level or large-area data mask variation at a more granular level. Researchers often fit hierarchical Bayesian models to stabilize estimates when data are sparse. Ideally, Bayesian procedures also exhibit good frequentist properties, as demonstrated by calibrated Bayes techniques. However, hierarchical Bayesian models tend to shrink subdomain estimates toward the overall mean and may produce credible intervals that do not maintain nominal coverage. Hoff et al. developed the Frequentist, but Assisted by Bayes (FAB) intervals for subgroup estimates with normally distributed outcomes. However, non-normally distributed data present new challenges, and multiple types of intervals have been proposed for estimating proportions. We examine subdomain inference with binary outcomes and extend FAB intervals to improve nominal coverage and estimation efficiency. We describe how to numerically compute FAB intervals in the binary case and demonstrate their improvement through repeated simulation studies. Finally, we apply the proposed methods to estimate COVID-19 infection rates in subgroups, based on geography and demographic characteristics. This is joint work with Rayleigh Lei.\r\n\r\nYajuan Si is a Research Associate Professor in the Institute for Social Research at the University of Michigan. Yajuan\u2019s research lies in cutting-edge methodology development in streams of Bayesian statistics, linking design- and model-based approaches to survey inference, data integration, missing data analysis, confidentiality protection involving the creation and analysis of synthetic datasets, and causal inference with observational data. 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This presentation will review the essential components of this quality profile identified by the committee, giving background on each and discussing the feasibility of producing these components for individual SRC projects and programs. The committee aims to use this presentation to invite a broader set of feedback from SRC faculty, staff, and affiliates on these components, as part of a dedicated effort to move toward the standardized preparation and dissemination of these quality profiles for all SRC data collection projects.\r\n\r\nBrady T. West is a Research Professor in the Survey Methodology Program and the Department of Biostatistics. His current research interests include selection bias in surveys, the implications of measurement error in auxiliary variables and survey paradata for survey estimation, responsive and\/or adaptive survey design, interviewer effects, and multilevel regression models for clustered and longitudinal data. An author of more than 230 peer-reviewed journal articles in survey methodology, applied statistics, and public health, he is also the lead author of two books that are now in their third editions, one of which compares different statistical software packages in terms of their mixed-effects modeling procedures (Linear Mixed Models: A Practical Guide using Statistical Software, Third Edition, Chapman Hall\/CRC Press, 2022), and a second titled Applied Survey Data Analysis, Third Edition (with Steven Heeringa and Pat Berglund) that provides a comprehensive overview of practical analysis strategies for data arising from complex sample surveys. He was elected as a Fellow of the American Statistical Association in 2022.\r\n\r\nJames Wagner is a Research Professor in the Survey Methodology Program. He has worked on surveys for over 25 years and has extensive experience with sample design. In addition to sample design, Wagner\u2019s research interests include adaptive survey design to address potential nonresponse biases and indicators of survey data quality. He recently served as interim director of SRC.", "occurrence_notes":null, "guid":"138330-21882780@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/138330", "building_id":"1000145", "building_name":"Institute For Social Research", "building_official_id":1000145, "campus_maps_id":"76", "campus_maps_link_path":"institute-for-social-research", "campus_maps_link":"https:\/\/maps.studentlife.umich.edu\/building\/institute-for-social-research", "room":"1430BD ISR Thompson", "location_name":"Institute For Social Research", "has_livestream":0, "cost":"", "tags":["Data Science"], "website":"https:\/\/src.isr.umich.edu", "links":[ { "type":"other", "url":"https:\/\/src.isr.umich.edu", "title":"Survey Research Center" }, { "type":"other", "url":"https:\/\/isr.umich.edu", "title":"Institute for Social Research" }, { "type":"other", "url":"https:\/\/umich.zoom.us\/j\/91336999447?pwd=xJVFXafn7kscGj22IBpZReJSzyIPYT.1", "title":"Zoom" }, { "type":"other", "url":"https:\/\/surveydatascience.isr.umich.edu\/", "title":"Michigan Program in Survey and Data Science" }, { "type":"other", "url":"https:\/\/calendar.google.com\/calendar\/event?action=TEMPLATE&tmeid=MGpuamh1cjhvbHJ2NnZybnIyZnRuc29jMGQgdW1pY2guZWR1X2M2MmdvZGM2MHBlYW0xNjZqaHA1NjFrc2JrQGc&tmsrc=umich.edu_c62godc60peam166jhp561ksbk%40group.calendar.google.com", "title":"Add to calendar" } ], "sponsors":[ { "group_name":"Survey Research Center", "group_id":"5063", "website":"https:\/\/src.isr.umich.edu\/" }, { "group_name":"Institute for Social Research", "group_id":"3285", "website":"http:\/\/isr.umich.edu" }, { "group_name":"Michigan Program in Survey and Data Science", "group_id":"4430", "website":"" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2025\/08\/event_138330_original-1.png", "image_description":"SRC Seminar Series Presents: Developing a Modern and Standardized Data Quality Profile for SRC Surveys Brady West & James Wagner, Survey Research Center Tuesday, September 30, 2025 1:00-2:00 Seminar Location: 1430BD ISR-Thompson 426 Thompson St. Zoom: Meeting ID: 963 2984 2793 Passcode: 878303", "styled_images":{ "event_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_thumb\/media\/attachments\/2025\/08\/event_138330_original-1.png", "event_large":"https:\/\/events.umich.edu\/media\/cache\/event_large\/media\/attachments\/2025\/08\/event_138330_original-1.png", "event_large_2x":"https:\/\/events.umich.edu\/media\/cache\/event_large_2x\/media\/attachments\/2025\/08\/event_138330_original-1.png", "event_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/event_large_lightbox\/media\/attachments\/2025\/08\/event_138330_original-1.png", "group_thumb":"https:\/\/events.umich.edu\/media\/cache\/group_thumb\/media\/attachments\/2025\/08\/event_138330_original-1.png", "group_thumb_square":"https:\/\/events.umich.edu\/media\/cache\/group_thumb_square\/media\/attachments\/2025\/08\/event_138330_original-1.png", "group_large":"https:\/\/events.umich.edu\/media\/cache\/group_large\/media\/attachments\/2025\/08\/event_138330_original-1.png", "group_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/group_large_lightbox\/media\/attachments\/2025\/08\/event_138330_original-1.png", "event_large_crop":"https:\/\/events.umich.edu\/media\/cache\/event_large_crop\/media\/attachments\/2025\/08\/event_138330_original-1.png", "event_list":"https:\/\/events.umich.edu\/media\/cache\/event_list\/media\/attachments\/2025\/08\/event_138330_original-1.png", "event_list_2x":"https:\/\/events.umich.edu\/media\/cache\/event_list_2x\/media\/attachments\/2025\/08\/event_138330_original-1.png", "event_grid":"https:\/\/events.umich.edu\/media\/cache\/event_grid\/media\/attachments\/2025\/08\/event_138330_original-1.png", "event_grid_2x":"https:\/\/events.umich.edu\/media\/cache\/event_grid_2x\/media\/attachments\/2025\/08\/event_138330_original-1.png", "event_feature_large":"https:\/\/events.umich.edu\/media\/cache\/event_feature_large\/media\/attachments\/2025\/08\/event_138330_original-1.png", "event_feature_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_feature_thumb\/media\/attachments\/2025\/08\/event_138330_original-1.png" }, "qr_code_url":"http:\/\/events.umich.edu\/event\/138330\/qrcode.png", "occurrence_count":1, "first_occurrence":21882780 } , { "id":"139374-21885347", "datetime_modified":"20250924T145503", "datetime_start":"20251001T120000", "datetime_end":"20251001T130000", "has_end_time":1, "date_start":"2025-10-01", "date_end":"2025-10-01", "time_start":"12:00:00", "time_end":"13:00:00", "time_zone":"America\/Detroit", "event_title":"MPSDS JPSM Seminar Series - Balancing Theory with Practice: How to Develop Successful Industry Research Practitioners", "occurrence_title":"", "combined_title":"MPSDS JPSM Seminar Series - Balancing Theory with Practice: How to Develop Successful Industry Research Practitioners: Curtiss Cobb - Vice President of Research at Meta, Demography and Survey Science Team", "event_subtitle":"Curtiss Cobb - Vice President of Research at Meta, Demography and Survey Science Team", "event_type":"Lecture \/ Discussion", "event_type_id":"13", "description":"MPSDS JPSM Seminar Series\r\nMPSDS M3 Series\r\n\r\nIn person, room 1070, Institute for Social Research and via Zoom.\r\nThe Zoom call will be locked 10 minutes after the start of the presentation. \r\n\r\nWhile industry researchers need practical skills, survey training often involves a balance of theory and practice. Training that focuses too heavily on practical applications may skip over foundational concepts, such as sampling theory, error reduction, or bias minimization. Without these foundations, researchers might design surveys that overlook important methodological considerations, potentially compromising data quality in ways that negatively affect insights and decision-making. At the same time, strong training programs often teach sophisticated survey methods (e.g., stratified sampling, regression analysis, psychometric scaling) that are used in academic or governmental research, but are impractical or overly complex in most industry contexts without adaptation to the time and cost constraints often present. A middle ground of training is often missing--one that trains researchers on how to adapt or simplify these more complex methodologies for practical use in the real world and how to make them accessible without sacrificing quality. The presenter will discuss the holes often seen in hiring trained survey researchers and the complimentary development that is necessary to bring them up to speed to be successful industry practitioners.\r\n\r\nCurtiss Cobb is a Vice President of Research at Meta where he leads the Demography and Survey Science Team, a quantitative focused research team that works across Meta to identify and share best practices and methodological innovations in demographic and survey research. His team oversees the collection of millions of survey responses a day from around the world using mobile, web, face-to-face and other methods. Prior to Meta, Curtiss was a senior director of survey methodology at GfK and has independently served on advisory panels or consulted for the U.S. State Department, CDC, Associated Press, World Health Organization, OECD and various academic studies. He holds a PhD in Sociology from Stanford University.", "occurrence_notes":"Onsite in room 1070, Institute for Social Research, and via Zoom.", "guid":"139374-21885347@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/139374", "building_id":"1000145", "building_name":"Institute For Social Research", "building_official_id":1000145, "campus_maps_id":"76", "campus_maps_link_path":"institute-for-social-research", "campus_maps_link":"https:\/\/maps.studentlife.umich.edu\/building\/institute-for-social-research", "room":"Room 1070, Institute for Social Research", "location_name":"Institute For Social Research", "has_livestream":1, "livestream_type":"zoom", "livetream_require_login":0, "livestream_id":"94043639579", "livestream_password":"2526", "livestream_link":"https:\/\/umich.zoom.us\/j\/94043639579", "cost":"", "tags":["Data Science"], 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This workshop is a \u201csequel\u201d to our original GenAI workshop from August of 2024, which was an introduction to using GenAI as a workplace tool. This year\u2019s workshop will refresh and expand on the concepts introduced in Part 1, and update them for 2025 after 14 months of advancement in a field that moves with incredible pace. The 2025 workshop targets those that are already familiar with at least one of the popular web-based GenAI tools (ChatGPT, Google Gemini, and the like), and will focus on new advancements in the GenAI field, while comparing all the top GenAI providers, and offering live demonstration on ways to more effectively incorporate GenAI tools into your daily workflows.\r\nTopics include:\r\nComparing leading tools (ChatGPT, Claude, Google Gemini, Grok, and DeepSeek), while teaching effective prompting techniques, parameter tuning (e.g., temperature, system prompts), and evaluation methods for picking the right platform for the right task. Includes live examples of writing and refining prompts for research or coding tasks.\r\nUnderstanding AI model architecture and how it impacts common tasks, including base LLMs, instruction-tuned chatbots, reasoning\/\u201dthinking\u201d models (like DeepSeek-R1), diffusion models (e.g., Stable Diffusion for images), and multimodal tools such as OpenAI\u2019s o1, Gemini, and Anthropic\u2019s Claude Artifacts. Participants will see practical demos showing why these differences matter for everyday tasks like analysis, text summarization, and media generation.\r\nMoving beyond single tools into integrated ecosystems such as Retrieval-Augmented Generation (RAG), GitHub Copilot\/code assistance, research automation, autonomous agents, and Model Context Protocols (MCPs). Demonstrations will show how to design workflows that combine these elements for more powerful, repeatable outcomes.\r\nPrivacy, infrastructure, and emerging trends, including: data security and governance requirements, frameworks for local\/self-hosted models (Ollama, LM Studio, open-source LLMs), and hardware tradeoffs for running AI in-house. We will also discuss future trends in AI reasoning, agent collaboration, and compliance.", "occurrence_notes":"Zoom Attendance Available, register here: https:\/\/pdhp.isr.umich.edu\/workshops\/", "guid":"140132-21886662@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/140132", "building_id":"1000145", "building_name":"Institute For Social Research", "building_official_id":1000145, "campus_maps_id":"76", "campus_maps_link_path":"institute-for-social-research", "campus_maps_link":"https:\/\/maps.studentlife.umich.edu\/building\/institute-for-social-research", "room":"6050", "location_name":"Institute For Social Research", "has_livestream":0, "cost":"", "tags":["Data Science"], "website":"https:\/\/pdhp.isr.umich.edu\/workshops\/", "links":[ { "type":"registration", "url":"https:\/\/pdhp.isr.umich.edu\/workshops\/", "title":"Registration" } ], "sponsors":[ { "group_name":"Institute for Social Research", "group_id":"3285", "website":"http:\/\/isr.umich.edu" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2025\/10\/event_140132_original-1.png", "image_description":"Topics include: Comparing leading tools (ChatGPT, Claude, Google Gemini, Grok, and DeepSeek), while teaching effective prompting techniques, parameter tuning (e.g., temperature, system prompts), and evaluation methods for picking the right platform for the right task. 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Yet real-world datasets often encode historical bias, and models trained on them can reproduce or amplify inequities. Pre-processing via fair synthetic data is a promising: if we can generate data that mitigates bias at the source while preserving signal, downstream models can be both fair and useful. This talk introduces FDA (Fair synthetic data via Data Augmentation), a statistically principled framework that makes the fairness\u2013faithfulness trade-off explicit and controllable. FDA jointly models a fair submodel and a faithful submodel, coupled by a single parameter $\\alpha \\in [0,1]$ that quantifies the fraction of bias removed. We prove clear operating points: $\\alpha=0$ yields maximal fairness (with larger deviation from the original distribution), $\\alpha=1$ recovers the original data in probability (hence in distribution), and intermediate $\\alpha$ values guarantee calibrated compromises with interpretable bounds. Practically, FDA samples directly from simple predictive distributions, avoiding heavy black-box training. We further provide theory connecting FDA\u2019s $\\alpha$ to fairness of downstream models. Together, these results deliver a transparent, efficient, and deployable path to generating fair synthetic data without sacrificing essential statistical structure.\r\n\r\nDr. Bei Jiang is an Associate Professor in the Department of Mathematical and Statistical Sciences at the University of Alberta, a Fellow of the Alberta Machine Intelligence Institute (Amii), and a Canada CIFAR AI Chair. She received her PhD in Biostatistics from the University of Michigan in 2014, followed by a postdoctoral appointment in the Department of Biostatistics at Columbia University (2014\u20132015), before joining the University of Alberta as an Assistant Professor in 2015. Dr. Jiang has authored more than 50 journal articles\u2014including in the Annals of Statistics, Journal of the American Statistical Association and the Journal of Machine Learning Research and over 20 peer-reviewed conference papers at venues such as NeurIPS, ICML, ICLR, and AAAI. Her research focuses on Bayesian hierarchical modeling, statistical learning methods that advance privacy and fairness, and federated statistical inference. Dr. Jiang has an extensive record of service to the statistical community. She is currently serving on the SSC Equity, Diversity, and Inclusion Committee, the CANSSI Showcase Organizing Committee, the Committee of the COPSS Presidents\u2019 Award, and the JSM 2026 Program Committee. She is an Associate Editor for the Journal of the American Statistical Association. 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Her research focuses on life course trajectories of physical and mental health; institutional and personal factors associated with vulnerability and resilience in aging individuals; and work transitions and their broad effects on health and well-being.\r\n\r\nThe Summer Institute in Survey Research Techniques provides rigorous and high quality graduate level training in all phases of survey research. The noncredit courses are open to all. The courses are live online via Zoom. Registration and payment are required. Course fees are based on the total number of hours assigned to each course, the hours are listed on the course description. The 2025 schedule lists additional courses. If you have any questions regarding the application process, please use the online contact form or email the Summer Institute at isr-summer@umich.edu .\r\n\r\nThe program teaches state-of-the-art practice and theory in the design, implementation, and analysis of surveys. 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December 2025- Health and Retirement Study (HRS) Workshop", "occurrence_title":"", "combined_title":"Summer Institute Course - December 2025- Health and Retirement Study (HRS) Workshop: Presented by Amanda Sonnega", "event_subtitle":"Presented by Amanda Sonnega", "event_type":"Class \/ Instruction", "event_type_id":"8", "description":"December 2025- Health and Retirement Study (HRS) Workshop\r\nDecember 8-10, 2025\r\n10:00am-3:00pm EST\r\nLive Online via Zoom\r\n\r\nThe Health and Retirement Study (hrsonline.isr.umich.edu) Summer Workshop is intended to give participants an introduction to the study that will enable them to use the data for research. HRS is a large-scale longitudinal study with more than 20 years of data on the labor force participation and health transitions that individuals undergo toward the end of their work lives and in the years that follow.\r\n\r\nDisability Data in the Health and Retirement Study (HRS) is a 3-day online (Zoom) workshop intended to give participants an overview of the disability data resources in the HRS. Content lectures delivered by HRS co-investigators and content area experts will cover a range of topics including:\r\n\r\n\u25cf The various ways that disability, disabling conditions, health, and functioning are measured in the HRS;\r\n\u25cf How measures of disability have changed as the survey has evolved;\r\n\u25cf How the HRS captures disability benefit receipt in the survey and through and linkage with data from the Social Security Administration;\r\n\u25cf How disability-related topics like employer accommodations, assistive technology and personal assistance are measured in the survey.\r\n\r\nIn addition to presentations on these topics, the workshop will feature labs focused on working with work disability measures in Section M and disability spell data in the RAND HRS.\r\n\r\nStudents will have the opportunity to present research ideas and receive feedback from the workshop faculty and other students.\r\n\r\nThe course is designed for those with experience using HRS data or for those who have taken the introductory HRS workshop. 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Join us for our virtual information session to learn more about our master's program and the admissions process.\r\n\r\nThe Michigan Program in Survey and Data Science curriculum is concerned with a broad set of data sources, including survey data, social media posts, sensor data, and administrative records, as well as analytic methods for working with these new data sources. 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Andridge - The Ohio State University", "event_subtitle":"Rebecca R. Andridge - The Ohio State University", "event_type":"Lecture \/ Discussion", "event_type_id":"13", "description":"MPSDS \/ JPSM Seminar Series\r\nMPSDS M3 Series: Mastery, Methodology, Meetups\r\n\r\nIn person, room 1070 Institute for Social Research, and via Zoom. \r\nThe Zoom call will be locked 10 minutes after the start of the presentation.\r\n\r\nSensitivity Analyses for Nonignorable Selection Bias When Estimating Subgroup Parameters in Nonprobability Samples: A Weighting Approach\r\n\r\nSelection bias in survey estimates is a major concern, affecting both nonprobability samples and probability samples with low response rates. The proxy-pattern mixture model (PPMM) offers a method for conducting a sensitivity that assumes a nonignorable selection mechanism, where selection depends on survey outcomes of interest. This approach requires summary-level auxiliary information for the target population of interest from a reference data source. While PPMM methods have been successfully applied to derive overall population-level estimates, extension to domain-level estimates is challenging when population-level summaries for the specific subgroup are unavailable. This occurs when the domain indicator is observed only in the survey, or for complex intersectional subgroups where stable\/reliable population-level auxiliary variable estimates are unavailable. To combat this issue, we propose a novel approach: creating nonignorable selection weights based on the PPMM based on a re-expression of the PPMM as a selection model. These weights can be directly applied to calculate domain-level estimates, circumventing the need for domain-specific population-level summaries of auxiliary variables. They rely on a single sensitivity parameter (ranging from 0 to 1) that captures a spectrum of nonresponse assumptions, ranging from an ignorable mechanism to an extreme nonignorable mechanism. We discuss differences in weight construction for continuous versus binary outcomes, describe the necessary assumptions for these weights to produce informative domain-level estimates, and illustrate properties through simulation. We then apply the approach to the Census Household Pulse Survey to estimate various subgroup quantities under a range of assumptions on the selection mechanism.\r\n\r\nRebecca R. Andridge, PhD\r\nThe Ohio State University\r\nCollege of Public Health, Division of Biostatistics\r\nAssociate Dean for Undergraduate Studies\r\nProfessor of Biostatistics\r\n\r\nDr. Andridge's research is focused on imputation methods for missing data, primarily when missingness is driven by the missing values themselves (missing not at random), and on measures of selection bias for nonprobability samples. She also works on statistical challenges that arise in analysis of data from group-randomized trials. She collaborates with researchers across campus, including the Institute for Behavioral Medicine Research, the Nisonger Center for Excellence in Developmental Disabilities, and The OSU Comprehensive Cancer Center, and serves as Lead Methodologist for several state-sponsored population-based surveys. She is an Elected Fellow of the American Statistical Association (2020).", "occurrence_notes":"In person in room 1070 ISR and via Zoom.", "guid":"143425-21893147@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/143425", "building_id":"", "building_name":"Off Campus Location", "building_official_id":null, "campus_maps_id":"1", "campus_maps_link_path":"", "campus_maps_link":"", "room":"Room 1070, Institute for Social Research", "location_name":"Virtual", "has_livestream":1, "livestream_type":"zoom", "livetream_require_login":0, "livestream_id":"94043639579", "livestream_password":"2526", "livestream_link":"https:\/\/umich.zoom.us\/j\/94043639579", "cost":"", "tags":["Data Science"], "website":"https:\/\/shorturl.at\/hSYwV", "links":[ { "type":"other", "url":"https:\/\/shorturl.at\/hSYwV", "title":"Add to Google Calendar" }, { "type":"other", "url":"https:\/\/shorturl.at\/OSCqn", "title":"Abstract and Bio" }, { "type":"other", "url":"https:\/\/tinyurl.com\/v4xc43u9", "title":"Join Zoom" }, { "type":"other", "url":"https:\/\/tinyurl.com\/yh4ujkfk", "title":"Join our Contact List" }, { "type":"other", "url":"http:\/\/Future MPSDS Events", "title":"https:\/\/tinyurl.com\/mvemz7s9" }, { "type":"other", "url":"https:\/\/tinyurl.com\/262pbe6x", "title":"Michigan Program in Survey and Data Science" }, { "type":"other", "url":"https:\/\/tinyurl.com\/6sy9pb4u", "title":"Summer Institute in Survey Research Techniques" } ], "sponsors":[ { "group_name":"Michigan Program in Survey and Data Science", "group_id":"4430", "website":"" }, { "group_name":"Institute for Social Research", "group_id":"3285", "website":"http:\/\/isr.umich.edu" }, { "group_name":"Survey Research Center", "group_id":"5063", "website":"https:\/\/src.isr.umich.edu\/" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2026\/01\/event_143425_original-1.jpg", "image_description":"Flyer", "styled_images":{ "event_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_thumb\/media\/attachments\/2026\/01\/crop-event_143425_original-1.jpg", "event_large":"https:\/\/events.umich.edu\/media\/cache\/event_large\/media\/attachments\/2026\/01\/crop-event_143425_original-1.jpg", "event_large_2x":"https:\/\/events.umich.edu\/media\/cache\/event_large_2x\/media\/attachments\/2026\/01\/crop-event_143425_original-1.jpg", "event_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/event_large_lightbox\/media\/attachments\/2026\/01\/crop-event_143425_original-1.jpg", "group_thumb":"https:\/\/events.umich.edu\/media\/cache\/group_thumb\/media\/attachments\/2026\/01\/crop-event_143425_original-1.jpg", "group_thumb_square":"https:\/\/events.umich.edu\/media\/cache\/group_thumb_square\/media\/attachments\/2026\/01\/crop-event_143425_original-1.jpg", "group_large":"https:\/\/events.umich.edu\/media\/cache\/group_large\/media\/attachments\/2026\/01\/crop-event_143425_original-1.jpg", "group_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/group_large_lightbox\/media\/attachments\/2026\/01\/crop-event_143425_original-1.jpg", "event_large_crop":"https:\/\/events.umich.edu\/media\/cache\/event_large_crop\/media\/attachments\/2026\/01\/crop-event_143425_original-1.jpg", "event_list":"https:\/\/events.umich.edu\/media\/cache\/event_list\/media\/attachments\/2026\/01\/crop-event_143425_original-1.jpg", "event_list_2x":"https:\/\/events.umich.edu\/media\/cache\/event_list_2x\/media\/attachments\/2026\/01\/crop-event_143425_original-1.jpg", "event_grid":"https:\/\/events.umich.edu\/media\/cache\/event_grid\/media\/attachments\/2026\/01\/crop-event_143425_original-1.jpg", "event_grid_2x":"https:\/\/events.umich.edu\/media\/cache\/event_grid_2x\/media\/attachments\/2026\/01\/crop-event_143425_original-1.jpg", "event_feature_large":"https:\/\/events.umich.edu\/media\/cache\/event_feature_large\/media\/attachments\/2026\/01\/crop-event_143425_original-1.jpg", "event_feature_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_feature_thumb\/media\/attachments\/2026\/01\/crop-event_143425_original-1.jpg" }, "qr_code_url":"http:\/\/events.umich.edu\/event\/143425\/qrcode.png", "occurrence_count":1, "first_occurrence":21893147 } , { "id":"143915-21894254", "datetime_modified":"20260116T163249", "datetime_start":"20260128T150000", "datetime_end":"20260128T160000", "has_end_time":1, "date_start":"2026-01-28", "date_end":"2026-01-28", "time_start":"15:00:00", "time_end":"16:00:00", "time_zone":"America\/Detroit", "event_title":"Privacy for Populations at Risk: Supporting Journalists Facing Attacks in the Digital Age", "occurrence_title":"", "combined_title":"Privacy for Populations at Risk: Supporting Journalists Facing Attacks in the Digital Age: Elodie Vialle - International Journalist and Human Rights Activist", "event_subtitle":"Elodie Vialle - International Journalist and Human Rights Activist", "event_type":"Lecture \/ Discussion", "event_type_id":"13", "description":"Celebrating International Data Privacy Day!\r\n\r\nElodie Vialle, an international journalist and human rights activist, will discuss how journalists\u2014particularly women journalists and journalists from marginalized communities\u2014are increasingly targeted in online spaces, from coordinated harassment to surveillance and AI-amplified attacks. Drawing on real-world cases, the session will explore practical responses to mitigate harm while safeguarding journalistic work and freedom of expression.\r\n\r\nLynette Clemetson, Charles R. Eisendrath Director of Wallace House, will facilitate Q&A time after the keynote presentation.\r\n\r\nJoin us on Zoom on the day of the event: https:\/\/umich.zoom.us\/j\/97875254127\r\n\r\nAdd this event to your Google calendar: https:\/\/calendar.google.com\/calendar\/u\/0\/r\/eventedit\/copy\/MmtxZHR1aW5raGw4bGZkOWg0N3E5NGNoamYgdW1pY2guZWR1X2ZkczI0Z2V2cGE0MnY5NTc2bG5wZTJjbWxrQGc", "occurrence_notes":null, "guid":"143915-21894254@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/143915", "building_id":"", "building_name":"Off Campus Location", "building_official_id":null, "campus_maps_id":"1", "campus_maps_link_path":"", "campus_maps_link":"", "room":"", "location_name":"Virtual", "has_livestream":1, "livestream_type":"zoom", "livetream_require_login":0, "livestream_id":"97875254127", "livestream_link":"https:\/\/umich.zoom.us\/j\/97875254127", "cost":"", "tags":["Data Science"], "website":"https:\/\/umich.zoom.us\/j\/97875254127", "links":[ { "type":"livestream", "url":"https:\/\/umich.zoom.us\/j\/97875254127", "title":"Join us on Zoom" }, { "type":"other", "url":"https:\/\/safecomputing.umich.edu\/events\/privacy\/elodie-vialle", "title":"Privacy@Michigan Webpage" }, { "type":"other", "url":"https:\/\/calendar.google.com\/calendar\/u\/0\/r\/eventedit\/copy\/MmtxZHR1aW5raGw4bGZkOWg0N3E5NGNoamYgdW1pY2guZWR1X2ZkczI0Z2V2cGE0MnY5NTc2bG5wZTJjbWxrQGc", "title":"Add to your Google Calendar" }, { "type":"other", "url":"https:\/\/safecomputing.umich.edu\/events", "title":"Safe Computing Events Page" }, { "type":"instagram", "url":"https:\/\/www.instagram.com\/umichtech\/", "title":"Follow ITS on Instagram" } ], "sponsors":[ { "group_name":"Information and Technology Services (ITS)", "group_id":"1179", "website":"https:\/\/x.com\/umichTECH" }, { "group_name":"Information Assurance", "group_id":"1128", "website":"" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2026\/01\/event_143915_original-1.jpg", "image_description":"Elodie Vialle is an international journalist and human rights activist, and is Senior Advisor on Digital Safety and Free Expression at PEN America.", "styled_images":{ "event_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_thumb\/media\/attachments\/2026\/01\/event_143915_original-1.jpg", "event_large":"https:\/\/events.umich.edu\/media\/cache\/event_large\/media\/attachments\/2026\/01\/event_143915_original-1.jpg", "event_large_2x":"https:\/\/events.umich.edu\/media\/cache\/event_large_2x\/media\/attachments\/2026\/01\/event_143915_original-1.jpg", "event_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/event_large_lightbox\/media\/attachments\/2026\/01\/event_143915_original-1.jpg", "group_thumb":"https:\/\/events.umich.edu\/media\/cache\/group_thumb\/media\/attachments\/2026\/01\/event_143915_original-1.jpg", "group_thumb_square":"https:\/\/events.umich.edu\/media\/cache\/group_thumb_square\/media\/attachments\/2026\/01\/event_143915_original-1.jpg", 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Cottage Inn Pizza)\r\nMajors: Biomedical Engineering, Chemical Engineering, Computer Engineering, Computer Science, Data Science, Electrical Engineering, Industrial and Operations Engineering, Materials Science and Engineering, Mechanical Engineering\r\nPositions: Full Time, Intern\r\nDegrees: Bachelors, Masters, PhD\r\nResumes Collected\r\nUS Citizenship Required\r\n\r\nTexas Instruments designs, manufactures, tests, and sells analog and embedded semiconductors in markets that include industrial, automotive, personal electronics, communications equipment, and enterprise systems.", "occurrence_notes":null, "guid":"143110-21892158@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/143110", "building_id":"1000447", "building_name":"Herbert H. 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Dow Building", "has_livestream":0, "cost":"", "tags":["Data Science"], "website":"", "links":[ ], "sponsors":[ { "group_name":"Society of Women Engineers", "group_id":"2045", "website":"http:\/\/swe.engin.umich.edu\/index\/index.php" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2025\/12\/event_143110_original-2.jpg", "image_description":"Texas Instruments Logo", "styled_images":{ "event_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_thumb\/media\/attachments\/2025\/12\/crop-event_143110_original-2.jpg", "event_large":"https:\/\/events.umich.edu\/media\/cache\/event_large\/media\/attachments\/2025\/12\/crop-event_143110_original-2.jpg", "event_large_2x":"https:\/\/events.umich.edu\/media\/cache\/event_large_2x\/media\/attachments\/2025\/12\/crop-event_143110_original-2.jpg", "event_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/event_large_lightbox\/media\/attachments\/2025\/12\/crop-event_143110_original-2.jpg", "group_thumb":"https:\/\/events.umich.edu\/media\/cache\/group_thumb\/media\/attachments\/2025\/12\/crop-event_143110_original-2.jpg", "group_thumb_square":"https:\/\/events.umich.edu\/media\/cache\/group_thumb_square\/media\/attachments\/2025\/12\/crop-event_143110_original-2.jpg", "group_large":"https:\/\/events.umich.edu\/media\/cache\/group_large\/media\/attachments\/2025\/12\/crop-event_143110_original-2.jpg", "group_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/group_large_lightbox\/media\/attachments\/2025\/12\/crop-event_143110_original-2.jpg", "event_large_crop":"https:\/\/events.umich.edu\/media\/cache\/event_large_crop\/media\/attachments\/2025\/12\/crop-event_143110_original-2.jpg", "event_list":"https:\/\/events.umich.edu\/media\/cache\/event_list\/media\/attachments\/2025\/12\/crop-event_143110_original-2.jpg", "event_list_2x":"https:\/\/events.umich.edu\/media\/cache\/event_list_2x\/media\/attachments\/2025\/12\/crop-event_143110_original-2.jpg", "event_grid":"https:\/\/events.umich.edu\/media\/cache\/event_grid\/media\/attachments\/2025\/12\/crop-event_143110_original-2.jpg", "event_grid_2x":"https:\/\/events.umich.edu\/media\/cache\/event_grid_2x\/media\/attachments\/2025\/12\/crop-event_143110_original-2.jpg", "event_feature_large":"https:\/\/events.umich.edu\/media\/cache\/event_feature_large\/media\/attachments\/2025\/12\/crop-event_143110_original-2.jpg", "event_feature_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_feature_thumb\/media\/attachments\/2025\/12\/crop-event_143110_original-2.jpg" }, "qr_code_url":"http:\/\/events.umich.edu\/event\/143110\/qrcode.png", "occurrence_count":1, "first_occurrence":21892158 } , { "id":"144046-21894585", "datetime_modified":"20260116T164924", "datetime_start":"20260203T160000", "datetime_end":"20260203T170000", "has_end_time":1, "date_start":"2026-02-03", "date_end":"2026-02-03", "time_start":"16:00:00", "time_end":"17:00:00", "time_zone":"America\/Detroit", "event_title":"Exploring Digital Privacy from a Child\u2019s Perspective", "occurrence_title":"", "combined_title":"Exploring Digital Privacy from a Child\u2019s Perspective: Dr. Lauren N. Girouard - National Science Foundation postdoctoral research scholar", "event_subtitle":"Dr. Lauren N. Girouard - National Science Foundation postdoctoral research scholar", "event_type":"Lecture \/ Discussion", "event_type_id":"13", "description":"Join us for this Privacy@Michigan Event.\r\n\r\nConversations about children\u2019s digital privacy are frequent, and with good reason: ad revenue to tech companies from child viewers topped 11 billion dollars in 2023. These conversations include policymakers, educators, researchers, and parents, but children themselves are rarely included. The purpose of this talk will therefore be to explore what we know about children\u2019s own perspectives on their digital privacy, particularly in the age of artificial intelligence. 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. Her work broadly examines how 4- to 17-year-old children think about, trust, and learn from emerging technologies and AI. \r\n\r\nAdd this event to your Google calendar.\r\nhttps:\/\/calendar.google.com\/calendar\/u\/0\/r\/eventedit\/copy\/MnRpdnA0Z3JpYzRhMWM2Y241NXMwNmdzYzYgdW1pY2guZWR1X2ZkczI0Z2V2cGE0MnY5NTc2bG5wZTJjbWxrQGc", "occurrence_notes":null, "guid":"144046-21894585@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/144046", "building_id":"1000191", "building_name":"Michigan League", "building_official_id":1000191, "campus_maps_id":"108", "campus_maps_link_path":"michigan-league", "campus_maps_link":"https:\/\/maps.studentlife.umich.edu\/building\/michigan-league", "room":"Michigan Room", "location_name":"Michigan League", "has_livestream":0, "cost":"", "tags":["Data Science"], "website":"https:\/\/safecomputing.umich.edu\/events\/privacy\/dr-lauren-girouard", "links":[ { "type":"other", "url":"https:\/\/safecomputing.umich.edu\/events\/privacy\/dr-lauren-girouard", "title":"Privacy@Michigan Web Page" }, { "type":"other", "url":"https:\/\/calendar.google.com\/calendar\/u\/0\/r\/eventedit\/copy\/MnRpdnA0Z3JpYzRhMWM2Y241NXMwNmdzYzYgdW1pY2guZWR1X2ZkczI0Z2V2cGE0MnY5NTc2bG5wZTJjbWxrQGc", "title":"Add this event to your Google calendar." }, { "type":"other", "url":"https:\/\/safecomputing.umich.edu\/events", "title":"Safe Computing Events Page" }, { "type":"instagram", "url":"https:\/\/www.instagram.com\/umichtech\/", "title":"Follow ITS on Instagram" } ], "sponsors":[ { "group_name":"Information and Technology Services (ITS)", "group_id":"1179", "website":"https:\/\/x.com\/umichTECH" }, { "group_name":"Information Assurance", "group_id":"1128", "website":"" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2026\/01\/event_144046_original-1.jpg", "image_description":"Dr. Lauren N. 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Panelists will situate recent changes within broader federal data policy, review progress made prior to 2025, and discuss how new executive actions are reshaping the collection, governance, and use of SOGI data across government.\n\nThe discussion will highlight concrete examples of removed or altered data elements, outline efforts to monitor and document these changes, and explore accountability pathways including litigation and public comment. Participants will also learn how to engage with ongoing initiatives to help track and protect essential public data moving forward.\n\nThis webinar is part of the 2026 ICPSR Data Fair @ Love Data Week. For more information, please visit myumi.ch\/ICPSRLoveDataWeek.\n\nThis event is free and open to the public. 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Or wondered what places like ICPSR are thinking about AI in relation to delivering data services? Then this session is for you! We will talk briefly about ways we know AI is being used in social research, what ICPSR's policy is governing whether our data can be used with AI tools (and why), and how ICPSR is experimenting with integrating AI into our own work. You'll hear about current projects and future directions from this quickly changing landscape!\n\nThis webinar is part of the 2026 ICPSR Data Fair @ Love Data Week. For more information, please visit myumi.ch\/ICPSRLoveDataWeek.\n\nThis event is free and open to the public. The webinar will be recorded, and the recording, along with the slides (when available), will be made available in the 2026 Love Data Week YouTube playlist at https:\/\/myumi.ch\/y1jm8.", "occurrence_notes":null, "guid":"144412-21895318@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/144412", "building_id":"", "building_name":"Off Campus Location", "building_official_id":null, "campus_maps_id":"1", "campus_maps_link_path":"", "campus_maps_link":"", "room":"", "location_name":"Virtual", "has_livestream":0, "cost":"", "tags":["Data Science"], "website":"https:\/\/myumi.ch\/qZW53", "links":[ { "type":"registration", "url":"https:\/\/myumi.ch\/qZW53", "title":"Registration Link" }, { "type":"other", "url":"http:\/\/myumi.ch\/ICPSRLoveDataWeek", "title":"ICPSR Love Data Week website" } ], "sponsors":[ { "group_name":"ICPSR at the University of Michigan Institute for Social Research", "group_id":"4533", "website":"https:\/\/www.icpsr.umich.edu\/" }, { "group_name":"Institute for Social Research", "group_id":"3285", "website":"http:\/\/isr.umich.edu" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2026\/01\/event_144412_original-1.png", "image_description":"Announcement for the ICPSR Data Fair event on AI at ICPSR, scheduled for Feb 12, 2026, from 2 to 3 p.m. ET.", "styled_images":{ "event_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_thumb\/media\/attachments\/2026\/01\/event_144412_original-1.png", "event_large":"https:\/\/events.umich.edu\/media\/cache\/event_large\/media\/attachments\/2026\/01\/event_144412_original-1.png", "event_large_2x":"https:\/\/events.umich.edu\/media\/cache\/event_large_2x\/media\/attachments\/2026\/01\/event_144412_original-1.png", "event_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/event_large_lightbox\/media\/attachments\/2026\/01\/event_144412_original-1.png", "group_thumb":"https:\/\/events.umich.edu\/media\/cache\/group_thumb\/media\/attachments\/2026\/01\/event_144412_original-1.png", "group_thumb_square":"https:\/\/events.umich.edu\/media\/cache\/group_thumb_square\/media\/attachments\/2026\/01\/event_144412_original-1.png", "group_large":"https:\/\/events.umich.edu\/media\/cache\/group_large\/media\/attachments\/2026\/01\/event_144412_original-1.png", "group_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/group_large_lightbox\/media\/attachments\/2026\/01\/event_144412_original-1.png", "event_large_crop":"https:\/\/events.umich.edu\/media\/cache\/event_large_crop\/media\/attachments\/2026\/01\/event_144412_original-1.png", "event_list":"https:\/\/events.umich.edu\/media\/cache\/event_list\/media\/attachments\/2026\/01\/event_144412_original-1.png", "event_list_2x":"https:\/\/events.umich.edu\/media\/cache\/event_list_2x\/media\/attachments\/2026\/01\/event_144412_original-1.png", "event_grid":"https:\/\/events.umich.edu\/media\/cache\/event_grid\/media\/attachments\/2026\/01\/event_144412_original-1.png", "event_grid_2x":"https:\/\/events.umich.edu\/media\/cache\/event_grid_2x\/media\/attachments\/2026\/01\/event_144412_original-1.png", "event_feature_large":"https:\/\/events.umich.edu\/media\/cache\/event_feature_large\/media\/attachments\/2026\/01\/event_144412_original-1.png", "event_feature_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_feature_thumb\/media\/attachments\/2026\/01\/event_144412_original-1.png" }, "qr_code_url":"http:\/\/events.umich.edu\/event\/144412\/qrcode.png", "occurrence_count":1, "first_occurrence":21895318 } , { "id":"139740-21894084", "datetime_modified":"20260114T093903", "datetime_start":"20260218T120000", "datetime_end":"20260218T130000", "has_end_time":1, "date_start":"2026-02-18", "date_end":"2026-02-18", "time_start":"12:00:00", "time_end":"13:00:00", "time_zone":"America\/Detroit", "event_title":"2025-2026 MICDE Ph.D. in Scientific Computing Student Seminars", "occurrence_title":"Ph.D. in Scientific Computing Seminar Series: Min-Chun Han, TBD", "combined_title":"2025-2026 MICDE Ph.D. in Scientific Computing Student Seminars: See Sessions for details: Ph.D. in Scientific Computing Seminar Series: Min-Chun Han, TBD", "event_subtitle":"See Sessions for details", "event_type":"Workshop \/ Seminar", "event_type_id":"21", "description":"The MICDE PhD Student Seminar Series showcases the research of students in the Ph.D. in Scientific Computing. Lunch will be served. These events are open to the public, but we request that all who plan to attend register in advance via Sessions (see link). \r\n\r\nPresenter details will be available on the registration form and on the MICDE events calendar. Planned sessions will be canceled if no one signs up to present, and registrants will be notified.\r\n\r\nIf you have any questions, please email micde-phd@umich.edu.", "occurrence_notes":null, "guid":"139740-21894084@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/139740", "building_id":"", "building_name":"", "building_official_id":"", "campus_maps_id":"", "campus_maps_link_path":"", "campus_maps_link":"", "room":"", "location_name":"Room 4425, Green Court Building", "has_livestream":0, "cost":"", "tags":["Data Science"], "website":"https:\/\/sessions.studentlife.umich.edu\/p\/track\/15326", "links":[ { "type":"sessions", "url":"https:\/\/sessions.studentlife.umich.edu\/p\/track\/15326", "title":"Register On Sessions @ Michigan" }, { "type":"other", "url":"https:\/\/micde.umich.edu\/news-events\/phd-seminar-series\/", "title":"Calendar of PhD seminars" } ], "sponsors":[ { "group_name":"Sessions @ Michigan", "group_id":"4791", "website":"https:\/\/sessions.studentlife.umich.edu\/" }, { "group_name":"Michigan Institute for Computational Discovery and Engineering", "group_id":"3286", "website":"http:\/\/micde.umich.edu" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2026\/01\/event_139740_original-1.png", "image_description":"Ph.D. in Scientific Computing Seminar Series - Wednesdays, 12-1pm, register to attend", "styled_images":{ "event_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_thumb\/media\/attachments\/2026\/01\/crop-event_139740_original-1.png", "event_large":"https:\/\/events.umich.edu\/media\/cache\/event_large\/media\/attachments\/2026\/01\/crop-event_139740_original-1.png", "event_large_2x":"https:\/\/events.umich.edu\/media\/cache\/event_large_2x\/media\/attachments\/2026\/01\/crop-event_139740_original-1.png", "event_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/event_large_lightbox\/media\/attachments\/2026\/01\/crop-event_139740_original-1.png", "group_thumb":"https:\/\/events.umich.edu\/media\/cache\/group_thumb\/media\/attachments\/2026\/01\/crop-event_139740_original-1.png", "group_thumb_square":"https:\/\/events.umich.edu\/media\/cache\/group_thumb_square\/media\/attachments\/2026\/01\/crop-event_139740_original-1.png", "group_large":"https:\/\/events.umich.edu\/media\/cache\/group_large\/media\/attachments\/2026\/01\/crop-event_139740_original-1.png", "group_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/group_large_lightbox\/media\/attachments\/2026\/01\/crop-event_139740_original-1.png", "event_large_crop":"https:\/\/events.umich.edu\/media\/cache\/event_large_crop\/media\/attachments\/2026\/01\/crop-event_139740_original-1.png", "event_list":"https:\/\/events.umich.edu\/media\/cache\/event_list\/media\/attachments\/2026\/01\/crop-event_139740_original-1.png", "event_list_2x":"https:\/\/events.umich.edu\/media\/cache\/event_list_2x\/media\/attachments\/2026\/01\/crop-event_139740_original-1.png", "event_grid":"https:\/\/events.umich.edu\/media\/cache\/event_grid\/media\/attachments\/2026\/01\/crop-event_139740_original-1.png", "event_grid_2x":"https:\/\/events.umich.edu\/media\/cache\/event_grid_2x\/media\/attachments\/2026\/01\/crop-event_139740_original-1.png", "event_feature_large":"https:\/\/events.umich.edu\/media\/cache\/event_feature_large\/media\/attachments\/2026\/01\/crop-event_139740_original-1.png", "event_feature_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_feature_thumb\/media\/attachments\/2026\/01\/crop-event_139740_original-1.png" }, "qr_code_url":"http:\/\/events.umich.edu\/event\/139740\/qrcode.png", "occurrence_count":9, "first_occurrence":21894083 } , { "id":"139829-21886103", "datetime_modified":"20250924T145336", "datetime_start":"20260218T120000", "datetime_end":"20260218T130000", "has_end_time":1, "date_start":"2026-02-18", "date_end":"2026-02-18", "time_start":"12:00:00", "time_end":"13:00:00", "time_zone":"America\/Detroit", "event_title":"MPSDS JPSM Seminar Series - Rethinking Methods in the Global Attitudes Project: Explorations in Australia and Sweden", "occurrence_title":"", "combined_title":"MPSDS JPSM Seminar Series - Rethinking Methods in the Global Attitudes Project: Explorations in Australia and Sweden: Sofi Sinozich and Patrick Moynihan - Pew Research Center", "event_subtitle":"Sofi Sinozich and Patrick Moynihan - Pew Research Center", "event_type":"Lecture \/ Discussion", "event_type_id":"13", "description":"MPSDS JPSM Seminar Series\r\nMPSDS M3 Series\r\n\r\nFebruary 18, 2026\r\n12:00 - 1:00 pm EST\r\nIn person, room 1070 Institute for Social Research, and via Zoom. The Zoom call will be locked 10 minutes are the start of the presentation.\r\n\r\nRethinking Methods in the Global Attitudes Project: Explorations in Australia and Sweden\r\n\r\nIn addition to regularly surveying the American public, Pew Research Center fields cross-national public opinion surveys in more than 20 countries annually as part of its Global Attitudes Project (GAP). The Center\u2019s International Methods team focuses on designing, implementing, monitoring, and improving these surveys throughout the year. In this talk, we present two research projects from 2025 in Australia and Sweden.\r\n\r\nMany surveys around the world, across modes and methods, have tended to show a slight left-leaning political bias. Weighting to past vote or party affiliation is a common solution, but these corrections alone may create excessive variance inflation. We faced this problem in our surveys fielded on the mixed-mode Life in Australia probability panel, administered by the Australian National University\u2019s Social Research Centre. To combat this bias, we tested a \u201cvoting-adjusted\u201d sampling approach recommended by our partners at SRC, in parallel with our previous standard stratified sampling design. Taking advantage of panel information and recent Australian elections, the new method incorporates self-reported 2022 vote into individual weights which are used as a measure of size for PPS sampling. After reviewing the technical details behind this approach, we\u2019ll discuss our findings on its impact on variance and substantive estimates compared to the standard design.\r\n\r\nPush-to-web (P2W) designs are gaining traction in Europe as an alternative to costly \u2013 and methodologically challenged \u2013 interviewer-administered approaches. For instance, the European Social Survey announced that by 2027 online and paper self-administered surveys will be their primary means of data collection replacing their traditional face-to-face approach. To better understand this mode and its potential for future waves of GAP, we recently piloted an ABS-style, sequential P2W survey in Sweden to compare with our traditional dual-frame phone design (DFRDD). Our presentation will compare P2W and DFRDD sample outcomes in terms of data quality (such as response rates, response differentiation, survey engagement, and open-ended answer quality), representativeness (versus demographic parameters for gender, education, age and geography) and attitudinal estimates (considering the viability of long-term data trends if mode transitioned in Sweden). The P2W survey included an unconditional incentive experiment as well as a paper questionnaire mailing, allowing us to present findings regarding the value of these design elements. This section of the talk concludes with key takeaways and recommendations for future mode-transition trials. \r\n\r\nSofi Sinozich is a research methodologist in international methods at Pew Research Center. She advises on complex sample design, survey implementation, and data quality assessment for international projects across the Center. Prior to joining the Center, she was a senior research analyst at Langer Research Associates, where she managed and contributed to a wide variety of survey projects, including serving as lead analyst on the ABC News\/Washington Post poll. She holds a master's degree in survey methodology from JPSM and is a member of the WAPOR Professional Standards committee.\r\n\r\nPatrick Moynihan is the associate director of international methods at Pew Research Center. Prior to joining the Center, Patrick was the survey methodologist in the U.S. Department of State\u2019s Office of Opinion Research (INR\/OPN), assistant director of the Program on Survey Research at Harvard University, and senior polling analyst at ABC News. He is a past president of the New England Chapter of the American Association for Public Opinion Research (AAPOR), served on multiple national AAPOR committees, and is currently a member of the Committee on Professional Standards for the World Association for Public Opinion Research. Moynihan received his doctorate in sociology from SUNY Stony Brook.", "occurrence_notes":"Onsite in room 1070, Institute for Social Research, and via Zoom", "guid":"139829-21886103@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/139829", "building_id":"", "building_name":"Off Campus Location", "building_official_id":null, "campus_maps_id":"1", "campus_maps_link_path":"", "campus_maps_link":"", "room":"Room 1070, Institute for Social Research", "location_name":"Virtual", "has_livestream":1, "livestream_type":"zoom", "livetream_require_login":0, "livestream_id":"94043639579", "livestream_password":"2526", "livestream_link":"https:\/\/umich.zoom.us\/j\/94043639579", "cost":"", "tags":["Data Science"], "website":"https:\/\/calendar.google.com\/calendar\/event?action=TEMPLATE&tmeid=M3J2bWpwNjdmanNma2djZG9wamVuNGduZ3EgY19hMGE0OWUxNTZlYTE3MDc5OWRjZTZhYjYwM2VjYzM2ODIwNzQ2YTczN2M1OGM0MjllODcyYWVlOWVlNDAxZTI5QGc&tmsrc=c_a0a49e156ea170799dce6ab603ecc36820746a737c58c429e872aee9ee401e29%40group.calendar.google.com", "links":[ { "type":"other", "url":"https:\/\/calendar.google.com\/calendar\/event?action=TEMPLATE&tmeid=M3J2bWpwNjdmanNma2djZG9wamVuNGduZ3EgY19hMGE0OWUxNTZlYTE3MDc5OWRjZTZhYjYwM2VjYzM2ODIwNzQ2YTczN2M1OGM0MjllODcyYWVlOWVlNDAxZTI5QGc&tmsrc=c_a0a49e156ea170799dce6ab603ecc36820746a737c58c429e872aee9ee401e29%40group.calendar.google.com", "title":"Add to Google Calendar" }, { "type":"other", "url":"https:\/\/www.google.com\/url?q=https:\/\/umich.zoom.us\/j\/94043639579?pwd%3DMmeloHW6o5bp1ae5fTFEzofUe8eaRE.1&sa=D&source=calendar&ust=1759170719711648&usg=AOvVaw2lSMPUH1mwpPBHojF-BACu", "title":"Join Zoom 94043639579 using code 2526" }, { "type":"other", "url":"https:\/\/surveydatascience.isr.umich.edu\/join-our-mailing-list\/", "title":"Join our Mailing List" }, { "type":"other", "url":"https:\/\/surveydatascience.isr.umich.edu\/events\/", "title":"Future MPSDS Events" }, { "type":"other", "url":"https:\/\/surveydatascience.isr.umich.edu\/past-events\/", "title":"Past MPSDS Events" }, { "type":"other", "url":"https:\/\/psm.mivideo.it.umich.edu\/", "title":"Videos" }, { "type":"other", "url":"https:\/\/surveydatascience.isr.umich.edu\/", "title":"Michigan Program in Survey and Data Science (MPSDS)" }, { "type":"other", "url":"https:\/\/si.isr.umich.edu\/", "title":"Summer Institute in Survey Research Techniques (SISRT)" } ], "sponsors":[ { "group_name":"Michigan Program in Survey and Data Science", "group_id":"4430", "website":"" }, { "group_name":"Institute for Social Research", "group_id":"3285", "website":"http:\/\/isr.umich.edu" }, { "group_name":"Survey Research Center", "group_id":"5063", "website":"https:\/\/src.isr.umich.edu\/" 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Program for our Build-A-(Data)-Website Workshop focused on building your own (data) projects portfolio website as a way to stand out as a stronger candidate to potential employers and align your abilities with the roles you are interested in. This event will take place on Wednesday, February 18th from 6-8pm in Weiser 110.\n\nIn the first part of the workshop, students will learn what a project portfolio website is, how it can be used, and things to keep in mind when starting from scratch. Then, content will transition to specific features we suggest including on your own website and a walk-through of some real portfolio websites from QMSS students as examples. You will learn about recommended platforms for building your website - mostly for free - without needing to know how to code (it's easier than you think!). You will also get in-depth coverage of the type of content you could include with examples of what this might look like for students in different majors or with different career interests. Of course, we will also include specific ways that QMSS-specific skills can be marketed on your website, but students will also learn how to incorporate work and skills from other experiences outside of QMSS courses that you can consider including to be beneficial for everyone.\n\nFollowing the workshop, participants will have an opportunity to share their websites with QMSS and receive written feedback from the presenter and\/or QMSS Peer Mentors as well as make one-on-one appointments with the presenter or QMSS Peer Mentors to discuss further.\n\nPreparing for the workshop:\n\nStudents should start brainstorming a list of the various data-related projects and assignments they've completed for consideration on the website. 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A large billboard and an annual conference signal Palantir\u2019s investment into Detroit as \u201cAmerica\u2019s Future,\u201d a billion-dollar renovated \u201ctrain\u201d station and technology campus is building a drone highway, and the World Economic Forum has its eyes on the city as a potential location for its global Davos summit.\n\nWhat does this trajectory mean for the future of a predominantly Black city that has led the country in misidentification cases by law enforcement using facial recognition, has had a median household income hovering under $40,000, and has more than 50% of its youth living in poverty?\n\nDr. Chris Gilliard and Tawana Petty will interrogate these questions and more.", "occurrence_notes":null, "guid":"145440-21897360@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/145440", "building_id":"1000191", "building_name":"Michigan League", "building_official_id":1000191, "campus_maps_id":"108", "campus_maps_link_path":"michigan-league", 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Planned sessions will be canceled if no one signs up to present, and registrants will be notified.\r\n\r\nIf you have any questions, please email micde-phd@umich.edu.", "occurrence_notes":null, "guid":"139740-21894088@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/139740", "building_id":"", "building_name":"", "building_official_id":"", "campus_maps_id":"", "campus_maps_link_path":"", "campus_maps_link":"", "room":"", "location_name":"Room 4425, Green Court Building", "has_livestream":0, "cost":"", "tags":["Data Science"], "website":"https:\/\/sessions.studentlife.umich.edu\/p\/track\/15326", "links":[ { "type":"sessions", "url":"https:\/\/sessions.studentlife.umich.edu\/p\/track\/15326", "title":"Register On Sessions @ Michigan" }, { "type":"other", "url":"https:\/\/micde.umich.edu\/news-events\/phd-seminar-series\/", "title":"Calendar of PhD seminars" } ], "sponsors":[ { "group_name":"Sessions @ Michigan", "group_id":"4791", "website":"https:\/\/sessions.studentlife.umich.edu\/" }, { "group_name":"Michigan Institute for Computational Discovery and Engineering", "group_id":"3286", "website":"http:\/\/micde.umich.edu" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2026\/01\/event_139740_original-1.png", "image_description":"Ph.D. in Scientific Computing Seminar Series - Wednesdays, 12-1pm, register to attend", "styled_images":{ "event_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_thumb\/media\/attachments\/2026\/01\/crop-event_139740_original-1.png", "event_large":"https:\/\/events.umich.edu\/media\/cache\/event_large\/media\/attachments\/2026\/01\/crop-event_139740_original-1.png", "event_large_2x":"https:\/\/events.umich.edu\/media\/cache\/event_large_2x\/media\/attachments\/2026\/01\/crop-event_139740_original-1.png", "event_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/event_large_lightbox\/media\/attachments\/2026\/01\/crop-event_139740_original-1.png", "group_thumb":"https:\/\/events.umich.edu\/media\/cache\/group_thumb\/media\/attachments\/2026\/01\/crop-event_139740_original-1.png", "group_thumb_square":"https:\/\/events.umich.edu\/media\/cache\/group_thumb_square\/media\/attachments\/2026\/01\/crop-event_139740_original-1.png", "group_large":"https:\/\/events.umich.edu\/media\/cache\/group_large\/media\/attachments\/2026\/01\/crop-event_139740_original-1.png", "group_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/group_large_lightbox\/media\/attachments\/2026\/01\/crop-event_139740_original-1.png", "event_large_crop":"https:\/\/events.umich.edu\/media\/cache\/event_large_crop\/media\/attachments\/2026\/01\/crop-event_139740_original-1.png", "event_list":"https:\/\/events.umich.edu\/media\/cache\/event_list\/media\/attachments\/2026\/01\/crop-event_139740_original-1.png", "event_list_2x":"https:\/\/events.umich.edu\/media\/cache\/event_list_2x\/media\/attachments\/2026\/01\/crop-event_139740_original-1.png", "event_grid":"https:\/\/events.umich.edu\/media\/cache\/event_grid\/media\/attachments\/2026\/01\/crop-event_139740_original-1.png", "event_grid_2x":"https:\/\/events.umich.edu\/media\/cache\/event_grid_2x\/media\/attachments\/2026\/01\/crop-event_139740_original-1.png", "event_feature_large":"https:\/\/events.umich.edu\/media\/cache\/event_feature_large\/media\/attachments\/2026\/01\/crop-event_139740_original-1.png", "event_feature_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_feature_thumb\/media\/attachments\/2026\/01\/crop-event_139740_original-1.png" }, "qr_code_url":"http:\/\/events.umich.edu\/event\/139740\/qrcode.png", "occurrence_count":9, "first_occurrence":21894083 } , { "id":"146650-21899402", "datetime_modified":"20260316T122849", "datetime_start":"20260325T120000", "datetime_end":"20260325T130000", "has_end_time":1, "date_start":"2026-03-25", "date_end":"2026-03-25", "time_start":"12:00:00", "time_end":"13:00:00", "time_zone":"America\/Detroit", "event_title":"MPSDS \/ JPSM Seminar Series: From Survey to SurvAI: The Promises and Precautions of AI for Survey Research", "occurrence_title":"", "combined_title":"MPSDS \/ JPSM Seminar Series: From Survey to SurvAI: The Promises and Precautions of AI for Survey Research: Trent D. 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. Additionally, few studies assess LLMs systematically across multiple populations, languages, or survey topics. In this presentation we will highlight not just the breadth of current use cases, but also the methodological and ethical considerations that must accompany them noting examples that are both promising as well as precautionary.\n\nTrent D. Buskirk, Ph.D. has recently joined the new School of Data Science at Old Dominion University. Prior to this appointment, Trent was the Novak Family Distinguished Professor of Data Science and outgoing Chair of the Applied Statistics and Operations Research Department at Bowling Green State University. Dr. Buskirk is a Fellow of the American Statistical Association and his research is positioned at the intersection of survey science, data science, computational social science, and human\u2013AI interaction. His specific research interests include Schema-Driven LLM-Based Inference, big data quality, recruitment methods through social media, the use of big data and machine learning methods for health, social and survey science design and analysis, mobile and smartphone survey designs and in methods for calibrating and weighting samples and fairness in AI models and interpretable ML methods. Trent has also been involved in various professional organizations serving as the President of the Midwest Association for Public Opinion Research in 2016, the Conference Chair for AAPOR in 2018 and a member of the scientific committee for the BigSurv series of conferences since 2018. Trent as also served as an Associate Editor (Methods) for the Journal of Survey Statistics and Methodology. Dr. Buskirk is currently serving on the AAPOR Responsible Integration of AI in Survey Research task force. 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{ "type":"other", "url":"https:\/\/shorturl.at\/7STAV", "title":"Biography" }, { "type":"other", "url":"https:\/\/shorturl.at\/kIhKS", "title":"Join Zoom 940 4363 9579" }, { "type":"other", "url":"https:\/\/shorturl.at\/08TBl", "title":"Join our Contact List" }, { "type":"other", "url":"https:\/\/surveydatascience.isr.umich.edu\/", "title":"Michigan Program in Survey and Data Science" }, { "type":"other", "url":"https:\/\/si.isr.umich.edu\/", "title":"Summer Institute in Survey Research Techniques" } ], "sponsors":[ { "group_name":"Michigan Program in Survey and Data Science", "group_id":"4430", "website":"" }, { "group_name":"Institute for Social Research", "group_id":"3285", "website":"http:\/\/isr.umich.edu" }, { "group_name":"Survey Research Center", "group_id":"5063", "website":"https:\/\/src.isr.umich.edu\/" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2026\/03\/event_146650_original-1.png", "image_description":"Presentation Flyer", "styled_images":{ 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Full-time\nDegrees: Bachelors, PhD\n\nUS Citizenship or Permanent Resident\n\nAt BASF, we create chemistry for a sustainable future. Our ambition: We want to be the preferred chemical company to enable our customers\u2019 green transformation. We combine economic success with environmental protection and social responsibility. Around 108,000 employees in the BASF Group contribute to the success of our customers in nearly all sectors and almost every country in the world. Our portfolio comprises, as core businesses, the segments Chemicals, Materials, Industrial Solutions, and Nutrition & Care; our standalone businesses are bundled in the segments Surface Technologies and Agricultural Solutions. BASF generated sales of around \u20ac60 billion in 2025. BASF shares are traded on the stock exchange in Frankfurt (BAS) and as American Depositary Receipts (BASFY) in the United States.", "occurrence_notes":null, "guid":"146555-21899266@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/146555", "building_id":"1000407", "building_name":"GG Brown Laboratory", "building_official_id":1000407, "campus_maps_id":"21", "campus_maps_link_path":"george-g-gg-brown-laboratories", "campus_maps_link":"https:\/\/maps.studentlife.umich.edu\/building\/george-g-gg-brown-laboratories", "room":"1025", "location_name":"GG Brown Laboratory", "has_livestream":0, "cost":"", "tags":["Data Science"], "website":"https:\/\/calendar.google.com\/calendar\/u\/0?cid=amYwM29rMnVpdXFyaTlsaThzMTBlbWN0czhAZ3JvdXAuY2FsZW5kYXIuZ29vZ2xlLmNvbQ", "links":[ { "type":"other", "url":"https:\/\/calendar.google.com\/calendar\/u\/0?cid=amYwM29rMnVpdXFyaTlsaThzMTBlbWN0czhAZ3JvdXAuY2FsZW5kYXIuZ29vZ2xlLmNvbQ", "title":"CIS Calendar" } ], "sponsors":[ { "group_name":"Society of Women Engineers", "group_id":"2045", "website":"http:\/\/swe.engin.umich.edu\/index\/index.php" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2026\/03\/event_146555_original-1.jpg", "image_description":"BASF Logo", "styled_images":{ "event_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_thumb\/media\/attachments\/2026\/03\/event_146555_original-1.jpg", "event_large":"https:\/\/events.umich.edu\/media\/cache\/event_large\/media\/attachments\/2026\/03\/event_146555_original-1.jpg", "event_large_2x":"https:\/\/events.umich.edu\/media\/cache\/event_large_2x\/media\/attachments\/2026\/03\/event_146555_original-1.jpg", "event_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/event_large_lightbox\/media\/attachments\/2026\/03\/event_146555_original-1.jpg", "group_thumb":"https:\/\/events.umich.edu\/media\/cache\/group_thumb\/media\/attachments\/2026\/03\/event_146555_original-1.jpg", "group_thumb_square":"https:\/\/events.umich.edu\/media\/cache\/group_thumb_square\/media\/attachments\/2026\/03\/event_146555_original-1.jpg", "group_large":"https:\/\/events.umich.edu\/media\/cache\/group_large\/media\/attachments\/2026\/03\/event_146555_original-1.jpg", "group_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/group_large_lightbox\/media\/attachments\/2026\/03\/event_146555_original-1.jpg", "event_large_crop":"https:\/\/events.umich.edu\/media\/cache\/event_large_crop\/media\/attachments\/2026\/03\/event_146555_original-1.jpg", "event_list":"https:\/\/events.umich.edu\/media\/cache\/event_list\/media\/attachments\/2026\/03\/event_146555_original-1.jpg", "event_list_2x":"https:\/\/events.umich.edu\/media\/cache\/event_list_2x\/media\/attachments\/2026\/03\/event_146555_original-1.jpg", "event_grid":"https:\/\/events.umich.edu\/media\/cache\/event_grid\/media\/attachments\/2026\/03\/event_146555_original-1.jpg", "event_grid_2x":"https:\/\/events.umich.edu\/media\/cache\/event_grid_2x\/media\/attachments\/2026\/03\/event_146555_original-1.jpg", "event_feature_large":"https:\/\/events.umich.edu\/media\/cache\/event_feature_large\/media\/attachments\/2026\/03\/event_146555_original-1.jpg", "event_feature_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_feature_thumb\/media\/attachments\/2026\/03\/event_146555_original-1.jpg" }, "qr_code_url":"http:\/\/events.umich.edu\/event\/146555\/qrcode.png", "occurrence_count":1, "first_occurrence":21899266 } , { "id":"145986-21898228", "datetime_modified":"20260226T121620", "datetime_start":"20260325T180000", "datetime_end":"20260325T210000", "has_end_time":1, "date_start":"2026-03-25", "date_end":"2026-03-25", "time_start":"18:00:00", "time_end":"21:00:00", "time_zone":"America\/Detroit", "event_title":"QMSS 2026 Hackathon", "occurrence_title":"", "combined_title":"QMSS 2026 Hackathon", "event_subtitle":"", "event_type":"Other", "event_type_id":"22", "description":"Join the Quantitative Methods in the Social Sciences (QMSS) program for our 3rd annual Hackathon! A hackathon is a fantastic opportunity to practice your data cleaning, data analysis, data visualization, and data interpretation skills & leave with a data analysis project that you can post about on a professional portfolio website, write about on your resumes, and talk about during job interviews as an example of what you know how to do. In QMSS's Hackathon, we will use real, publicly available data to answer real, socially-relevant questions so that you can see the true power of the data cleaning, analysis, visualization, and communication skills you're developing in QMSS (and other!) courses.\n\nThe best part? You don't have to do any preparation! You just need to register, show up on the day, and you'll have a chance to fully complete a project by the time the event is over. You will work collaboratively with other students to break down the datasets in ways that YOU find most interesting and valuable. The data will be real, relevant, and timely social science data about online dating, sports betting, and attitudes about health policies!\n\nStudents will have an opportunity to self-select into a project that fits their skills and interests. We have intentionally designed this event to be accessible to students from QMSS - including students CURRENTLY taking QMSS 201 or 301 and not yet finished - which means this event is accessible to ANY student with introductory, intermediate, and advanced skill levels in social science data analytics!\n\nStudents who fully participate in the event will receive a completion certificate to add to your resume, CV, and LinkedIn profiles, and you will get access to all of the available projects and any necessary data to take home and continue working on to build your data project portfolio. We will provide free food throughout the hackathon to keep you fueled as you hack away at the data!\n\nA laptop is required for this event - please let us know at qmss.program@umich.edu if you need access to one in order to participate in the event!", "occurrence_notes":null, "guid":"145986-21898228@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/145986", "building_id":"1000165", "building_name":"Weiser Hall", "building_official_id":1000165, "campus_maps_id":"47", "campus_maps_link_path":"weiser-hall", "campus_maps_link":"https:\/\/maps.studentlife.umich.edu\/building\/weiser-hall", "room":"110", "location_name":"Weiser Hall", "has_livestream":0, "cost":"", "tags":["Data Science"], "website":"https:\/\/myumi.ch\/2rG9z", "links":[ { "type":"sessions", "url":"https:\/\/myumi.ch\/2rG9z", "title":"RSVP (required) here!" }, { "type":"other", "url":"http:\/\/lsa.umich.edu\/qmss", "title":"Learn more about QMSS here!" }, { "type":"instagram", "url":"http:\/\/instagram.com\/umichqmss", "title":"Follow us on Instagram!" }, { "type":"linkedin", "url":"http:\/\/linkedin.com\/showcase\/umichqmss", "title":"Follow us on LinkedIn!" } ], "sponsors":[ { "group_name":"Quantitative Methods in the Social Sciences (QMSS)", "group_id":"4519", "website":"" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2026\/02\/event_145986_original-2.png", "image_description":"Decorative images of data charts and figures with trend lines in various colors along with white and gold text on a dark blue background advertising QMSS's 2026 Hackathon on Wednesday, March 25 from 6-9pm in Weiser 110.", "styled_images":{ "event_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_thumb\/media\/attachments\/2026\/02\/event_145986_original-2.png", "event_large":"https:\/\/events.umich.edu\/media\/cache\/event_large\/media\/attachments\/2026\/02\/event_145986_original-2.png", "event_large_2x":"https:\/\/events.umich.edu\/media\/cache\/event_large_2x\/media\/attachments\/2026\/02\/event_145986_original-2.png", "event_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/event_large_lightbox\/media\/attachments\/2026\/02\/event_145986_original-2.png", "group_thumb":"https:\/\/events.umich.edu\/media\/cache\/group_thumb\/media\/attachments\/2026\/02\/event_145986_original-2.png", "group_thumb_square":"https:\/\/events.umich.edu\/media\/cache\/group_thumb_square\/media\/attachments\/2026\/02\/event_145986_original-2.png", "group_large":"https:\/\/events.umich.edu\/media\/cache\/group_large\/media\/attachments\/2026\/02\/event_145986_original-2.png", "group_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/group_large_lightbox\/media\/attachments\/2026\/02\/event_145986_original-2.png", "event_large_crop":"https:\/\/events.umich.edu\/media\/cache\/event_large_crop\/media\/attachments\/2026\/02\/event_145986_original-2.png", "event_list":"https:\/\/events.umich.edu\/media\/cache\/event_list\/media\/attachments\/2026\/02\/event_145986_original-2.png", "event_list_2x":"https:\/\/events.umich.edu\/media\/cache\/event_list_2x\/media\/attachments\/2026\/02\/event_145986_original-2.png", "event_grid":"https:\/\/events.umich.edu\/media\/cache\/event_grid\/media\/attachments\/2026\/02\/event_145986_original-2.png", "event_grid_2x":"https:\/\/events.umich.edu\/media\/cache\/event_grid_2x\/media\/attachments\/2026\/02\/event_145986_original-2.png", "event_feature_large":"https:\/\/events.umich.edu\/media\/cache\/event_feature_large\/media\/attachments\/2026\/02\/event_145986_original-2.png", "event_feature_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_feature_thumb\/media\/attachments\/2026\/02\/event_145986_original-2.png" }, "qr_code_url":"http:\/\/events.umich.edu\/event\/145986\/qrcode.png", "occurrence_count":1, "first_occurrence":21898228 } , { "id":"146450-21899125", "datetime_modified":"20260313T083958", "datetime_start":"20260327T110000", "datetime_end":"20260327T150000", "has_end_time":1, "date_start":"2026-03-27", "date_end":"2026-03-27", "time_start":"11:00:00", "time_end":"15:00:00", "time_zone":"America\/Detroit", "event_title":"AI for Better Social Science: Capabilities and Challenges with Survey Research", "occurrence_title":"", "combined_title":"AI for Better Social Science: Capabilities and Challenges with Survey Research: The 8th Annual Likert Symposium", "event_subtitle":"The 8th Annual Likert Symposium", "event_type":"Lecture \/ Discussion", "event_type_id":"13", "description":"Register to receive Zoom link at https:\/\/myumi.ch\/n1dDV \n\nProgram: \n\nAI-Assisted Conversational Interviewing: Effects on Data Quality and Respondent Experience \nSoubhik Barari, Senior Research Methodologist at NORC at the University of Chicago, working on applied problems at the intersection of survey methodology, data science, and AI. \n\nAbstract: Standardized surveys scale efficiently but often lack depth, while conversational interviews improve response quality but are costly and inconsistent. This study advances a framework for AI\u2011assisted conversational interviewing to bridge this divide and demonstrates evidence of its practical utility. In a web survey experiment with 1,800 participants, we deployed AI \u201cchatbots\u201d powered by large language models to probe respondents for elaboration and to code open\u2011ended answers in real time. The chatbots achieved reasonably strong accuracy in live coding, though they exhibited some over-identification of themes, partly reflecting respondents\u2019 tendency to agree with AI suggestions. They elicited richer, more detailed responses compared to standard surveys, with only small trade\u2011offs in respondent experience. Overall, our results demonstrate that AI\u2011supported conversational tools can meaningfully enhance the depth and quality of open\u2011ended data collection, pointing to a new generation of scalable, adaptive survey methods.\n\nLLMs as Synthetic Respondents: A Tool for Augmenting Human Surveys\nSerina Chang, Assistant Professor at UC Berkeley, jointly appointed in EECS and Computational Precision Health and part of the Berkeley AI Research (BAIR) Lab. \n\nAbstract: Surveys are an invaluable resource for understanding human opinions and behaviors, but they require substantial time and effort. Large language models (LLMs) present new opportunities to predict responses to survey questions, given their natural language abilities and social knowledge acquired during pretraining. Integrating LLMs as synthetic respondents into survey pipelines could improve efficiency across multiple stages\u2014from pre-survey pilot testing and sampling design to post-survey data imputation and analysis\u2014not as a replacement for human participants but as a way to augment existing workflows. However, these opportunities also raise new challenges, including how to accurately reflect the opinions of diverse subpopulations, generalize to questions outside LLM training data, and reduce computational costs. In this talk, I describe how we address these challenges in our work. First, we show that fine-tuning LLMs on survey data substantially improves their ability to predict public opinion, generalizing to unseen surveys and subgroups. In complementary work, rather than fine-tuning with additional data, we leverage knowledge already encoded in the LLM, showing with probes and sparse autoencoders that models contain far more internal knowledge of human opinions than their outputs reveal. Finally, we present graph-based approaches as a lightweight alternative: a graph model equipped with language representations from LLMs\u2014but requiring no further LLM training or inference\u2014can match LLM performance on some survey tasks while using orders of magnitude less compute.\n\nValidation and Inference for Survey Research Using Silicon Sampling \nLisa Argyle, Associate Professor of Political Science at Purdue\n\nAbstract: In both research and commercial applications, AI is increasingly being used to create synthetic representations of humans. This raises at least two important questions for scientists as they consider the integration of this new tool: How can a researcher know if the silicon survey output is valid? And how can a researcher make new inferences on the basis of synthetic output? Drawing on a synthesis of research on silicon sampling, I discuss the intellectual foundations of this approach, the ongoing practical and theoretical challenges, and cutting edge methodological tools. I conclude by proposing some best practices for conducting transparent open science using large language models.\n \nValidating LLM simulations as behavioral evidence\nJessica Hullman, Ginni Rometty Professor of Computer Science and Faculty Fellow at the Institute for Policy Research at Northwestern University.\n\nAbstract: A growing literature positions AI, and especially large language models (LLMs), as a transformative technology for simulating human behavior in surveys and experiments. This promise sparks a debate over how best to leverage this new data source. While a growing number of empirical studies report that LLM-simulated responses can approximate patterns found in real survey and experimental data, there is little consensus on what it means to show that AI surrogates are valid for the purpose of studying human behavior. I\u2019ll contrast heuristic approaches to validation in the literature from statistical calibration approaches that account for biases learned on items for which human ground truth labels are known. While calibration approaches provide guarantees of the type that social scientists are accustomed to expecting from statistical methods, they are not a panacea. I\u2019ll describe limitations based on the nature of behavioral data and reflect on meta-scientific questions that arise about the epistemic status of silicon samples as behavioral data.\n\nDiscussant: Ambuj Tewari, Professor, Department of Statistics, University of Michigan, Ann Arbor", "occurrence_notes":null, "guid":"146450-21899125@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/146450", "building_id":"", "building_name":"Off Campus Location", "building_official_id":null, "campus_maps_id":"1", "campus_maps_link_path":"", "campus_maps_link":"", "room":"", "location_name":"Virtual", "has_livestream":1, "livestream_type":"other", "livetream_require_login":0, "livestream_id":"", "livestream_link":"", "cost":"", "tags":["Data Science"], "website":"https:\/\/surveydatascience.isr.umich.edu\/news-events\/likert-symposium\/", "links":[ { "type":"other", "url":"https:\/\/surveydatascience.isr.umich.edu\/news-events\/likert-symposium\/", "title":"The Rensis Likert Symposium" }, { "type":"other", "url":"https:\/\/soubhikbarari.com", "title":"Soubhik Barari" }, { "type":"other", "url":"https:\/\/serinachang5.github.io", "title":"Serina Chang" }, { "type":"other", "url":"https:\/\/www.cla.purdue.edu\/directory\/profiles\/lisa-argyle.html", "title":"Lisa Argyle" }, { "type":"other", "url":"http:\/\/users.eecs.northwestern.edu\/~jhullman\/", "title":"Jessica Hullman" }, { "type":"other", "url":"https:\/\/www.ambujtewari.com", "title":"Ambuj Tewari" }, { "type":"registration", "url":"https:\/\/myumi.ch\/n1dDV", "title":"Registration" } ], "sponsors":[ { "group_name":"Institute for Social Research", "group_id":"3285", "website":"http:\/\/isr.umich.edu" }, { "group_name":"Michigan Program in Survey and Data Science", "group_id":"4430", "website":"" }, { "group_name":"Survey Research Center", "group_id":"5063", "website":"https:\/\/src.isr.umich.edu\/" } ], 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"event_subtitle":"", "event_type":"Lecture \/ Discussion", "event_type_id":"13", "description":"Join the Quantitative Methods in the Social Sciences (QMSS) program & Organizational Studies department for an evening with Zach Fetters, a U-M Organizational Studies alum currently working in strategy & analytics at Google. Zach will talk about his career trajectory, what he has learned about the fields he's worked in (including consulting and supply chain prior to his work at Google), and provide insights for current students looking to break into these fields or related career paths for after graduation.\n\nZach is the Senior Manager of Strategy & Analytics at Google, where he has steadily advanced through multiple roles since joining in 2018. He began his career after earning an Organizational Studies degree from the University of Michigan in 2013, initially holding various procurement and supply chain roles at BP. Zach later served as a consultant for Deloitte, specializing in organizational transformation and talent. His early professional experiences also include co-founding MichigINTERN and business development work at Uolala!\n\nIn-person attendees will be provided with Cottage Inn & a chance to win some swag from QMSS and Org Studies for actively participating in discussions & networking with Zach during the event!", "occurrence_notes":"Also on Zoom (RSVP required)", "guid":"146998-21900224@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/146998", "building_id":"1000188", "building_name":"1100 North University Building", "building_official_id":1000188, "campus_maps_id":"678", "campus_maps_link_path":"1100-north-university-building-central-campus-transit-center-nub", "campus_maps_link":"https:\/\/maps.studentlife.umich.edu\/building\/1100-north-university-building-central-campus-transit-center-nub", "room":"1528", "location_name":"1100 North University Building", "has_livestream":0, "cost":"", "tags":["Data Science"], "website":"https:\/\/myumi.ch\/pV1qj", "links":[ { "type":"sessions", "url":"https:\/\/myumi.ch\/pV1qj", "title":"RSVP here!" }, { "type":"instagram", "url":"http:\/\/instagram.com\/umichqmss", "title":"Follow QMSS on Instagram!" }, { "type":"linkedin", "url":"http:\/\/linkedin.com\/showcase\/umichqmss", "title":"Follow QMSS on LinkedIn!" }, { "type":"other", "url":"http:\/\/lsa.umich.edu\/qmss", "title":"Learn more about QMSS here!" }, { "type":"other", "url":"https:\/\/lsa.umich.edu\/orgstudies", "title":"Learn more about Org Studies here!" } ], "sponsors":[ { "group_name":"Quantitative Methods in the Social Sciences (QMSS)", "group_id":"4519", "website":"" }, { "group_name":"Organizational Studies Program (OS)", "group_id":"3526", "website":"" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2026\/03\/event_146998_original-1.png", "image_description":"Dark blue background with gold and white lettering advertising QMSS Invited Speaker Zach Fetters (Google: Strategy and Analytics) on Tuesday, March 31, 6-7:30pm, NUB 1528 and Zoom. A headshot of Zach is attached. 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Lunch will be served. These events are open to the public, but we request that all who plan to attend register in advance via Sessions (see link). \r\n\r\nPresenter details will be available on the registration form and on the MICDE events calendar. Planned sessions will be canceled if no one signs up to present, and registrants will be notified.\r\n\r\nIf you have any questions, please email micde-phd@umich.edu.", "occurrence_notes":null, "guid":"139740-21894089@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/139740", "building_id":"", "building_name":"", "building_official_id":"", "campus_maps_id":"", "campus_maps_link_path":"", "campus_maps_link":"", "room":"", "location_name":"Room 4425, Green Court Building", "has_livestream":0, "cost":"", "tags":["Data Science"], "website":"https:\/\/sessions.studentlife.umich.edu\/p\/track\/15326", "links":[ { "type":"sessions", "url":"https:\/\/sessions.studentlife.umich.edu\/p\/track\/15326", "title":"Register On Sessions @ Michigan" }, { "type":"other", "url":"https:\/\/micde.umich.edu\/news-events\/phd-seminar-series\/", "title":"Calendar of PhD seminars" } ], "sponsors":[ { "group_name":"Sessions @ Michigan", "group_id":"4791", "website":"https:\/\/sessions.studentlife.umich.edu\/" }, { "group_name":"Michigan Institute for Computational Discovery and Engineering", "group_id":"3286", "website":"http:\/\/micde.umich.edu" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2026\/01\/event_139740_original-1.png", "image_description":"Ph.D. in Scientific Computing Seminar Series - 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Machine Learning for Inverse Probability Weighting in the American Community Survey", "occurrence_title":"", "combined_title":"MPSDS \/ JPSM Seminar Series - Machine Learning for Inverse Probability Weighting in the American Community Survey: Darcy Morris - Center for Statistical Research and Methodology at the U.S. Census Bureau", "event_subtitle":"Darcy Morris - Center for Statistical Research and Methodology at the U.S. Census Bureau", "event_type":"Lecture \/ Discussion", "event_type_id":"13", "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\nMachine Learning for Inverse Probability Weighting in the American Community Survey\n\nDeclining response rates and data collection interruptions are resulting in missing data complexity that traditional missing data techniques used in Census Bureau survey processing may not flexibly capture. At the same time, availability and link ability of administrative records, third party, and previous census\/survey data has improved allowing for more informative response propensity models. These developments lend themselves to the study of data-driven enhancements on inverse probability weighting (IPW) methods to adjust for unit nonresponse. We study and compare the use of traditional statistical models and machine learning algorithms applied to complex survey data for model-based IPW nonresponse adjustment using auxiliary sources with multiple years of American Community Survey data. We share various measures for model comparisons, application-specific tuning parameter selection, and visualizations of geographically-differentiated results.\n\nDarcy Morris is a Research Mathematical Statistician in the Center for Statistical Research and Methodology at the U.S. Census Bureau. Dr. Morris' research interests include missing data methods for probability and nonprobability data, categorical data analysis, and multivariate distributions with applications in a variety of economic, demographic, and social topics. 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Join us for a virtual QMSS Alumni Panel event to learn more!!\n\nOur panelists are recent QMSS minor graduates from a wide range of undergraduate majors and representing early career opportunities in various sectors. Our confirmed panelists currently represent:\n\n- Ford - Analytics Scientist (BCN & Data Science major)\n- JPMorgan Chase - Senior Client Associate (Econ major)\n- United Airlines - Financial Analyst (Econ major)\n- Apple - Software Engineer (Computer Science major)\n- Emory Law School - JD Candidate (plus gap year experiences in a data-related field!) (International Studies + Middle Ease & North African Studies major)\n- HighScope Educational Research Foundation - Research Coordinator (Political Science major)\n\nDuring the event, one of our QMSS Peer Mentors will moderate questions for the panelists tailored towards what their application, recruitment, and hiring process was like, what their day-to-day tasks are in their new-ish jobs, what skills and tools they are using or building on from U-M and QMSS coursework, what they've learned about their respective industries, and where they hope their career takes them into the future. Afterwards, we will have breakout room opportunities to more personally connect with individual panelists and ask them the nitty gritty questions that have been on your mind.\n\nHopefully, you will learn more about various data-related career paths and opportunities available to you as a QMSS graduate and get answers to the questions you've been dying to ask in a low-risk setting! 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Planned sessions will be canceled if no one signs up to present, and registrants will be notified.\r\n\r\nIf you have any questions, please email micde-phd@umich.edu.", "occurrence_notes":null, "guid":"139740-21894090@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/139740", "building_id":"", "building_name":"", "building_official_id":"", "campus_maps_id":"", "campus_maps_link_path":"", "campus_maps_link":"", "room":"", "location_name":"Room 4425, Green Court Building", "has_livestream":0, "cost":"", "tags":["Data Science"], "website":"https:\/\/sessions.studentlife.umich.edu\/p\/track\/15326", "links":[ { "type":"sessions", "url":"https:\/\/sessions.studentlife.umich.edu\/p\/track\/15326", "title":"Register On Sessions @ Michigan" }, { "type":"other", "url":"https:\/\/micde.umich.edu\/news-events\/phd-seminar-series\/", "title":"Calendar of PhD seminars" } ], "sponsors":[ { "group_name":"Sessions @ Michigan", "group_id":"4791", "website":"https:\/\/sessions.studentlife.umich.edu\/" }, { "group_name":"Michigan Institute for Computational Discovery and Engineering", "group_id":"3286", "website":"http:\/\/micde.umich.edu" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2026\/01\/event_139740_original-1.png", "image_description":"Ph.D. in Scientific Computing Seminar Series - Wednesdays, 12-1pm, register to attend", "styled_images":{ "event_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_thumb\/media\/attachments\/2026\/01\/crop-event_139740_original-1.png", "event_large":"https:\/\/events.umich.edu\/media\/cache\/event_large\/media\/attachments\/2026\/01\/crop-event_139740_original-1.png", "event_large_2x":"https:\/\/events.umich.edu\/media\/cache\/event_large_2x\/media\/attachments\/2026\/01\/crop-event_139740_original-1.png", "event_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/event_large_lightbox\/media\/attachments\/2026\/01\/crop-event_139740_original-1.png", "group_thumb":"https:\/\/events.umich.edu\/media\/cache\/group_thumb\/media\/attachments\/2026\/01\/crop-event_139740_original-1.png", "group_thumb_square":"https:\/\/events.umich.edu\/media\/cache\/group_thumb_square\/media\/attachments\/2026\/01\/crop-event_139740_original-1.png", "group_large":"https:\/\/events.umich.edu\/media\/cache\/group_large\/media\/attachments\/2026\/01\/crop-event_139740_original-1.png", "group_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/group_large_lightbox\/media\/attachments\/2026\/01\/crop-event_139740_original-1.png", "event_large_crop":"https:\/\/events.umich.edu\/media\/cache\/event_large_crop\/media\/attachments\/2026\/01\/crop-event_139740_original-1.png", "event_list":"https:\/\/events.umich.edu\/media\/cache\/event_list\/media\/attachments\/2026\/01\/crop-event_139740_original-1.png", "event_list_2x":"https:\/\/events.umich.edu\/media\/cache\/event_list_2x\/media\/attachments\/2026\/01\/crop-event_139740_original-1.png", "event_grid":"https:\/\/events.umich.edu\/media\/cache\/event_grid\/media\/attachments\/2026\/01\/crop-event_139740_original-1.png", "event_grid_2x":"https:\/\/events.umich.edu\/media\/cache\/event_grid_2x\/media\/attachments\/2026\/01\/crop-event_139740_original-1.png", "event_feature_large":"https:\/\/events.umich.edu\/media\/cache\/event_feature_large\/media\/attachments\/2026\/01\/crop-event_139740_original-1.png", "event_feature_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_feature_thumb\/media\/attachments\/2026\/01\/crop-event_139740_original-1.png" }, "qr_code_url":"http:\/\/events.umich.edu\/event\/139740\/qrcode.png", "occurrence_count":9, "first_occurrence":21894083 } , { "id":"147855-21902050", "datetime_modified":"20260419T223253", "datetime_start":"20260422T120000", "datetime_end":"20260422T130000", "has_end_time":1, "date_start":"2026-04-22", "date_end":"2026-04-22", "time_start":"12:00:00", "time_end":"13:00:00", "time_zone":"America\/Detroit", "event_title":"Mathematical Biology Seminar: Parameter Estimation, Calibration, Uncertainty and Sensitivity in Multiscale Models", "occurrence_title":"", "combined_title":"Mathematical Biology Seminar: Parameter Estimation, Calibration, Uncertainty and Sensitivity in Multiscale Models: Denise Kirschner (PhD), University of Michigan Medical School", "event_subtitle":"Denise Kirschner (PhD), University of Michigan Medical School", "event_type":"Workshop \/ Seminar", "event_type_id":"21", "description":"Mathematical and computational models of biological systems are increasingly complex, typically comprised of hybrid multi-scale methods such as ordinary differential equations, partial differential equations, agent-based and rule-based models, etc. These mechanistic, multiscale models concurrently simulate detail at resolutions of whole host, multi-organ, organ, tissue, cellular, molecular, and genomic dynamics. Lacking analytical and numerical methods, solving complex biological models requires iterative parameter sampling-based approaches to establish appropriate ranges, of model parameters that capture corresponding experimental datasets. However, these models typically comprise large numbers of parameters and therefore large degrees of freedom. Thus, fitting these models to multiple experimental datasets over time and space presents significant challenges. We undertake the task of advancing calibration practices across models and dataset types for model calibration. Evaluating the process of calibrating models includes weighing strengths and applicability of each approach as well as standardizing calibration methods. We compare the performance of our model agnostic Calibration Protocol (CaliPro) with approximate Bayesian computing (ABC) to highlight strengths, weaknesses, synergies, and differences among these methods. 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