coe-staff: FW: Provide Input by 11/23 for Faculty Search - Petrone Professor in Education Data Science

Tue Nov 22 15:32:48 PST 2022

Hello,
The Dr. Min Sun Panopto link in the email below is a duplicate of the one for Dr. Thema Monroe-White.  Here is the correct link for the colloquium from Dr. Sun:
https://uoregon.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=87758fb3-7eee-47d2-92a8-af4d01319e53

Thanks,
Lisa

Lisa Fortin
Director, Events and Student Recruitment
UO College of Education
541-346-1607

From: coe_gr-bounces at lists.uoregon.edu<mailto:coe_gr-bounces at lists.uoregon.edu> <coe_gr-bounces at lists.uoregon.edu<mailto:coe_gr-bounces at lists.uoregon.edu>> on behalf of Lisa Fortin <lfortin at uoregon.edu<mailto:lfortin at uoregon.edu>>
Sent: Tuesday, November 22, 2022 12:29 PM
To: coe_gr at lists.uoregon.edu<mailto:coe_gr at lists.uoregon.edu> <coe_gr at lists.uoregon.edu<mailto:coe_gr at lists.uoregon.edu>>
Subject: [COE Graduates] Provide Input by 11/23 for Faculty Search - Petrone Professor in Education Data Science

Sent on behalf of Laura Lee McIntyre

Dear COE Students,

As you may know, we are in the process of conducting a search for a new senior faculty member (Associate or Full Professor) to join the College of Education as the Petrone Professor in Education Data Science<https://careers.uoregon.edu/en-us/job/529436/petrone-professorship-in-educational-data-science-associate-or-full-professor> in the Quantitative Research Methods in Education program in the Department of Education Studies.

I am delighted to share that we have interviewed two candidates for the position and we are very excited about both of them! Their CVs are attached.  Please review the attached CVs and colloquia for Dr. Thema Monroe-White and Dr. Min Sun and provide feedback by 11/23 via this Qualtrics survey. https://oregon.qualtrics.com/jfe/form/SV_009CowwwK3FgOlE<https://urldefense.com/v3/__https:/oregon.qualtrics.com/jfe/form/SV_009CowwwK3FgOlE__;!!C5qS4YX3!DbQaqf9GPl4bIuTcq-fZuNZRGRlxAUinMIQILWGQy4rYbg0OTC8uUFyzslrHtkl0wXY1iOETh15680siMs7rbw$>

Candidate A - Dr. Thema Monroe-White

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.

Colloquium: "Advancing Racial Equity for Science and Society via Statistical & ML Approaches"

In this presentation, Dr. Monroe-White discussed 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 demonstrated (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.

Colloquium recording for Dr. Monroe-White: https://uoregon.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=1c2a7ebe-5405-47ee-b1a4-af48013b4c5a<https://urldefense.com/v3/__https:/uoregon.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=1c2a7ebe-5405-47ee-b1a4-af48013b4c5a__;!!C5qS4YX3!DbQaqf9GPl4bIuTcq-fZuNZRGRlxAUinMIQILWGQy4rYbg0OTC8uUFyzslrHtkl0wXY1iOETh15680vPSJ6omw$>

Candidate B: Dr. Min Sun

Dr. Sun is a Professor of Education Policy at the University of Washington. She is also Director of the Innovation Sciences for Education Analytics and Co-Director of the Education Policy Analytics Lab at the University of Washington. She holds a dual major Ph.D. in Educational Policy and Measurement and Quantitative Methods from Michigan State University, as well as an M.A. in Economics of Education from Beijing Normal University and a B.A. in Pre-School Education from Heibei University. Dr. Sun's research uses a human-centered data science approach to investigate policies and practices that can lead to improvements in K-12 curricula and instruction, teacher workforce, school effectiveness, and school finance. Dr. Sun uses big data analytics, such as machine learning strategies and social network analysis, to analyze novel data in educational policy research (including textual data and data on social relationships).

Colloquium: "Human-Computer Interactive Learning to Advance Policies and Programs for Educational Equity: A Human-Centered Data Science Approach "

In this presentation, Dr. Sun first shared her current work that adapts and contributes human-centered data science methods to educational research to improve policies and programs in curriculum and instruction, school improvement, teacher workforce, and school finance, with the goal of improving educational equity in K-12 settings. She then used one paper to illustrate this human-centered approach in which iterative learning among human, domain knowledge, and computer informs school improvement strategies. Dr. Sun concluded the presentation by outlining her three-year work plan of establishing a regional hub for educational data science innovations.

Colloquium recording for Dr. Sun: : https://uoregon.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=1c2a7ebe-5405-47ee-b1a4-af48013b4c5a<https://urldefense.com/v3/__https:/uoregon.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=1c2a7ebe-5405-47ee-b1a4-af48013b4c5a__;!!C5qS4YX3!DbQaqf9GPl4bIuTcq-fZuNZRGRlxAUinMIQILWGQy4rYbg0OTC8uUFyzslrHtkl0wXY1iOETh15680vPSJ6omw$>

Thank you for taking the time to provide input on both candidates.

Sincerely,

Laura Lee

Laura Lee McIntyre | Interim Dean & Castle-McIntosh-Knight Professor (she/her)
University of Oregon | College of Education
230 Hedco Education Building | Eugene, OR 97403-1215
llmcinty at uoregon.edu<mailto:email at uoregon.edu> |  https://education.uoregon.edu

[cid:image001.png at 01D8FE6D.D769DFC0]<https://www.uoregon.edu/>

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