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<div>We're pleased to announce the details for our final three speakers in the Data Then and Now seminar series at the University of Washington. Detailed announcements for each event will follow closer to their dates. Please feel free to distribute this announcement
and flyer, the Zoom webinars are open to all. </div>
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<p><span style="font-weight:700">Ramon Amaro</span></p>
<p><span style="font-weight:700"><i>Machine Learning, Sociogeny and the Substance of Race</i></span></p>
<p dir="ltr">May 5, 2021 1:00-2:00pm (PDT)</p>
<p>Abstract and bio: <a href="https://escience.washington.edu/events/data-then-and-now-ramon-amaro/">
https://escience.washington.edu/events/data-then-and-now-ramon-amaro/</a></p>
<p>Zoom registration: <a href="https://tinyurl.com/DTNAmaro"><span style="text-decoration-line:underline">https://tinyurl.com/DTNAmaro</span></a><br>
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<p><span style="font-weight:700">Louise Amoore</span></p>
<p dir="ltr"><span style="font-weight:700"><i>Cloud Ethics: Algorithms and the Attributes of Ourselves and Others</i></span></p>
<p dir="ltr">May 13, 2021 10:00-11:00am (PDT)</p>
<p>Abstract and bio: <a href="https://escience.washington.edu/events/data-then-and-now-louise-amoore/">
https://escience.washington.edu/events/data-then-and-now-louise-amoore/</a></p>
<p dir="ltr">Zoom registration: <a href="https://tinyurl.com/DTNAmooreL"><span style="text-decoration-line:underline">https://tinyurl.com/DTNAmooreL</span></a></p>
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<p><span style="font-weight:700">Tahu Kukutai</span></p>
<p dir="ltr"><span style="font-weight:700"><i>Indigenous Data Sovereignty</i></span></p>
<p dir="ltr">May 27, 2021 12:00-1:00pm (PDT)</p>
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<p>Abstract and bio: <a href="https://escience.washington.edu/events/data-then-and-now-tahu-kukutai/">
https://escience.washington.edu/events/data-then-and-now-tahu-kukutai/</a></p>
<p dir="ltr">Zoom registration: <span style="text-decoration-line:underline"><a href="https://tinyurl.com/DTNKukutai">https://tinyurl.com/DTNKukutai</a></span></p>
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<div><i>The Data Then and Now speaker series explores the social and organizational history of data and data practices in order to better understand the current data-intensive moment through its antecedents and continuities. </i></div>
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