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DTSTART:20241103T020000
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UID:calendar.3304.events_uoft_date.0@www.statistics.utoronto.ca
CREATED:20240617T144613Z
DESCRIPTION:\nWhen and Where: \nFriday, October 11, 2024 12:00 pm to 1:00
  pm \n\nSpeakers \nRona Fang-Yu Hu \n\nDescription: \nThe Toronto Data Wor
 kshop brings together academia and industry to share data science and AI b
 est practice. We are broadly interested, but especially in the code- and 
 data-centric aspects of a project that are often glossed over. We meet wee
 kly for an hour and most talks are recorded.Please join the event. Everyon
 e is welcome—it is free and you do not need to be affiliated with the univ
 ersity.About Rona Fang-Yu HuRona Hu is a second-year Master’s student in t
 he Michigan Program in Survey and Data Science. She graduated from Nationa
 l Chengchi University with a B.S. in Psychology. Before coming to the Unit
 ed States for her graduate studies, she was a Research Associate and Chie
 f Operating Officer at Quanthon Corporation in Taiwan. She has presented p
 apers at the conference of the American Association of Public Opinion Rese
 arch and the Joint Statistical Meetings since 2022. \n\nContact Informatio
 n: \n Toronto Data Workshop \n\nCategories \n Seminar SeriesToronto Data W
 orkshopWorkshops & Training \n\nAudiences \n FacultyGraduate Students
DTSTART;TZID=America/New_York:20241011T120000
DTEND;TZID=America/New_York:20241011T130000
LAST-MODIFIED:20240927T121342Z
SUMMARY:Predicting the Unobserved: Integrating ‘Something Else’ Sexual Iden
 tity Responses in Health Disparity Studies Using Machine Learning and Resa
 mpling Techniques
URL;TYPE=URI:https://www.statistics.utoronto.ca/events/predicting-unobserve
 d-integrating-%E2%80%98something-else%E2%80%99-sexual-identity-responses-h
 ealth-disparity
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