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DTSTART;TZID=America/Los_Angeles:20260209T130000
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DTSTAMP:20260417T065820
CREATED:20260204T203906Z
LAST-MODIFIED:20260204T204027Z
UID:10001658-1770642000-1770645600@ohsu-psu-sph.org
SUMMARY:ICE and Mass Deportation - The View From History
DESCRIPTION:ONLINE: An Urgent Talk with Mae Ngai\, PhD\nLung Family Professor of Asian American Studies and History – Columbia University\, Bancroft Prize Winner \nWhere did Ice raids and mass deportation come from? From time to time\, our Center Sponsors urgent talks that bring clarity to scary and bewildering developments. This talk features the eminent historian of immigration\, Columbia’s Mae Ngai\, who will bring critical historical context to the current moment.  \nNgai is the author of several highly acclaimed books\, including Impossible Subjects: Illegal Aliens and the Making of Modern American and The Chinese Question: The Gold Rush and Global Politics. \nREGISTER FOR EVENT
URL:https://ohsu-psu-sph.org/event/ice-and-mass-deportation-the-view-from-history/
LOCATION:VIRTUAL\, Portland\, OR\, United States
CATEGORIES:Lecture & Webinars,Social Justice
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UID:10001637-1770976800-1770980400@ohsu-psu-sph.org
SUMMARY:OCTRI-BERD Seminar - Algorithmic bias: a practical introduction
DESCRIPTION:Hosted by Alicia Johnson\, MPH \nClinical algorithms assist healthcare providers with decision-making based on a small set of demographic and clinical characteristics. While they can be useful tools\, algorithms are created using data from sources such as electronic health records or longitudinal studies. They reflect the features present in that data – which may include a lack of representation of various subgroups of the population\, selection bias that may differ among subgroups\, systematic measurement error\, and more. In clinical settings\, these biases can manifest as results that may be inaccurate for certain groups of patients\, potentially leading to misdiagnosis\, missed opportunities for treatment\, and other undesirable outcomes. \nThis talk provides an introduction to the concept of algorithmic bias\, illustrating how it may show up through examples from various areas in medicine. The goal of this talk is to support attendees in understanding algorithmic bias\, the limitations of clinical prediction rules\, and the impact algorithmic bias may have on patients. We will also discuss how to begin to identify and minimize the impact of algorithmic bias. \nThis introductory seminar is appropriate for those who are familiar with clinical algorithms and are curious to learn about their limitations. Healthcare providers\, analysts\, students\, and others are welcome. \nRegister via Compass. This seminar will be recorded.
URL:https://ohsu-psu-sph.org/event/octri-berd-seminar-algorithmic-bias-a-practical-introduction/
LOCATION:VIRTUAL\, Portland\, OR\, United States
CATEGORIES:Lecture & Webinars
ORGANIZER;CN="OCTRI Biostatistics%2C Epidemiology%2C and  Research Design (BERD) and  Informatics Programs":MAILTO:laird@ohsu.edu
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