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DTSTAMP:20250221T102533
DTSTART;TZID=America/Detroit:20250313T120000
DTEND;TZID=America/Detroit:20250313T130000
SUMMARY:Lecture / Discussion:The intersection of the social\, natural\, and built environments
DESCRIPTION:Environmental influences on many facets of our lives are profound. Recent research on this topic has shed light on the unique impact of diverse environmental types (e.g.\, social\, natural\, and built environments) that we encounter on a daily basis. Less understood are the implications of multiple intersecting environments as well as the potential of these occurrences to address pressing societal challenges. This presentation will review my recent work funded by NIH\, NSF\, and the Erb Family Foundation focused on the intersection of multiple environmental contexts. This includes research on social networks in lower income senior housing communities and projects examining links between social engagement and green infrastructure (e.g.\, rain gardens) designed to address urban flooding.
UID:123555-21851073@events.umich.edu
URL:https://events.umich.edu/event/123555
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Insights Speaker Series,Social Sciences
LOCATION:Institute For Social Research - 1430
CONTACT:
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DTSTAMP:20250226T113808
DTSTART;TZID=America/Detroit:20250314T100000
DTEND;TZID=America/Detroit:20250314T130000
SUMMARY:Conference / Symposium:7th Annual Likert Symposium Generating and Classifying Text: Challenges and Benefits of Using Language Models in Social Research
DESCRIPTION:7th Annual Likert Symposium\nGenerating and Classifying Text: Challenges and Benefits of Using Language Models in Social Research\n\nMarch 14\, 2025\n10:00 am - 1:00pm EDT\nOnline registration is required. It is a free live symposium. Zoom information forthcoming after registration. \n\nWelcome: Fred Conrad\, University of Michigan\, Survey Research Center\n\nTrent Buskirk\, Old Dominion University\, School of Data Science\nLLMs are Large\, but should they be in Charge?  Exploring the Possibility and Implausibility of Large Language Models in Survey Science\n\nHaomiao Jin\, University of Surrey\, School of Health Sciences\nExploring an AI-Powered Survey Interviewing Agent for Individuals Who Are Blind or Severely Visually Impaired\n\nJoelle Abramowitz\, University of Michigan\, Institute for Social Research\nUsing Artificial Intelligence to Improve the Panel Study of Income Dynamics and Health and Retirement Study \n\nJames Bisbee\, Vanderbilt University\, Data Science Institute\n\"What To Do When Your Language Model is Not State of the Art:  When (not) to Worry About Misclassification and How to Correct for It in Social Science Applications\"
UID:132883-21872022@events.umich.edu
URL:https://events.umich.edu/event/132883
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Accessibility,Anthropology,Artificial Intelligence,Basic Science,Bias,Biomedical,Biosciences,brown bag,conference,Data,Data Analysis,Data Collection,Data Curation,Data Linkage,Data Management,Data Science,Digital Media,Free,Health,Health & Wellness,Health And Retirement Study,Health Data,Health Equity,Lecture,Livestream,Public Health,Public Policy,Research,Science,Selection Bias,Social,Social Sciences,Sociology,Statistics,Survey Methodology,Survey Research,symposium,Talk,Virtual,Webcast,Webinar,Workshop
LOCATION:Off Campus Location
CONTACT:
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