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<p class="MsoNormal"><i><span style="color:#1F497D">Sent on behalf of Emily Tanner-Smith</span></i><i><span style="font-size:10.0pt;color:black"><o:p></o:p></span></i></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Source Sans Pro",sans-serif;color:black"><o:p> </o:p></span></p>
<p class="MsoNormal" align="center" style="text-align:center"><b>The Department of Education Studies invites you to attend a colloquium presented by Dr. Thema Monroe-White<o:p></o:p></b></p>
<p class="MsoNormal" align="center" style="text-align:center"><b>Wednesday, November 9, 2022<o:p></o:p></b></p>
<p class="MsoNormal" align="center" style="text-align:center"><b>9:00am – 10:00am<o:p></o:p></b></p>
<p class="MsoNormal" align="center" style="text-align:center"><b><o:p> </o:p></b></p>
<p class="MsoNormal" align="center" style="text-align:center"><b>In-person in HEDCO 230T or via Zoom (link below)<o:p></o:p></b></p>
<p class="MsoNormal" align="center" style="text-align:center"><b><o:p> </o:p></b></p>
<p class="MsoNormal" align="center" style="text-align:center">For those unable to attend, the colloquium will be recorded and a link shared after the presentation.<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><b>“Advancing Racial Equity for Science and Society via Statistical & ML Approaches”<o:p></o:p></b></p>
<p class="MsoNormal">In this presentation, Dr. Monroe-White will discuss how data science (DS) is not immune from structural racism. Algorithmic bias and data harms continue to disproportionately affect minoritized groups. A key concern for policymakers, educators,
and employers is how DS techniques can impact science, technology, and innovation (STI) systems for greater public benefit. Drawing on her work as PI on two federally funded research initiatives, Dr. Thema Monroe-White demonstrates (via statistical and machine
learning techniques) how the STI enterprise is shaped by the racialized and gendered identities of its workforce. Her pioneering work on emancipatory data science and racial equity in STEM education highlights the scientific, technological, and social importance
of a race-conscious and equity-centered DS education.<o:p></o:p></p>
<p class="MsoNormal">This presentation is part of an on-campus interview for the tenure-track Petrone Professorship in Educational Data Science (Associate or Full Professor) position in the Department of Education Studies.<o:p></o:p></p>
<p class="MsoNormal"><b><u><o:p><span style="text-decoration:none"> </span></o:p></u></b></p>
<p class="MsoNormal"><b><u>About Dr. Monroe-White<o:p></o:p></u></b></p>
<p class="MsoNormal">Dr. Monroe-White is an Assistant Professor of Management Information Systems at Berry College. She holds a Ph.D. in Public Policy with an emphasis on Science, Technology, and Innovation Policy from the Georgia Institute of Technology, as
well as an M.S. in Neuropsychology and B.S. in Psychology from Howard University. Dr. Monroe-White has decades of combined evaluation, research, and data analytics expertise from her years as a consultant, nonprofit leader, and instructor. Dr. Monroe-White
is a leading expert in emancipatory data science, where she frames data science from a historical, race-conscious perspective to understand algorithmic biases that plague social systems. Her current scholarship focuses on mitigating bias in data analytics,
data science, and artificial intelligence; diversity and inclusion in science, technology, engineering/computer science and mathematics education and workforce development; and racial equity in technology entrepreneurship and innovation. Please join us to
learn more about Dr. Monroe-White’s work and her many achievements!<o:p></o:p></p>
<b><u><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;mso-fareast-language:EN-US"><br clear="all" style="page-break-before:always">
</span></u></b>
<p class="MsoNormal"><b><u>Zoom Link<o:p></o:p></u></b></p>
<p class="MsoNormal">Topic: EDS TTF Candidate (Dr. Thema Monroe-White)<o:p></o:p></p>
<p class="MsoNormal">Time: November 9<sup>th</sup>, 2022 9:00 AM Pacific Time<o:p></o:p></p>
<p class="MsoNormal">Join Zoom Meeting<o:p></o:p></p>
<p class="MsoNormal"><a href="https://uoregon.zoom.us/j/91932124631?pwd=UmJBb0ZEQjY2bERNbzhEMWo4QzVaQT09">https://uoregon.zoom.us/j/91932124631?pwd=UmJBb0ZEQjY2bERNbzhEMWo4QzVaQT09</a>
<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Meeting ID: 919 3212 4631<o:p></o:p></p>
<p class="MsoNormal">Passcode: 373855<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
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