coe-staff: Dr. Sung-Woo Cho -- Invited Colloquium

Tue Oct 8 13:46:00 PDT 2019

College of Education and the UO Data Science Initiative Invited Colloquium

Artificial Intelligence and Social Policy Decision-Making:
A Cultural Transformation

Dr. Sung-Woo Cho,

October 23-24, 2019

Colloquium
When: October 23, 2019,  2:30-3:45 p.m.
Where: HEDCO 220,  College of Education

Student Seminar
When: October 24, 2019, 10:00-11:00 a.m.
Where: HEDCO 230T, College of Education

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Abstract: This interactive presentation will discuss the recent applications of artificial intelligence on large amounts of non-traditional forms of data in education and public policy, and how these applications can significantly enhance traditional forms of research. Natural language processing (NLP), a form of artificial intelligence, can determine themes in bodies of text (i.e., words) and categorize items according to those themes. These items can include research articles, site visit notes, entire websites, and social media posts. Predictive analytics, another form of artificial intelligence, can predict outcomes to often high accuracy and generalizability when enough data are trained and tested. Abt Associates is using both NLP and predictive analytics to more efficiently and thoroughly analyze current streams of data, and this colloquium will present applications from several different research areas, including education policy. Dr. Cho will also discuss broader cultural shifts in data science that are currently occurring in the greater policy research industry.

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Sung-Woo Cho, PhD, is the Co-Director of the Digital Transformations Center and head of the Applied Innovations in Artificial Intelligence (AI)2 group at Abt Associates. His main areas of interest are in artificial intelligence applications in policy decision-making, research design and evaluation, and workforce training, particularly within community colleges. He created and oversees the Abt Data Science Fellowship, a company-wide initiative that trains employees in machine learning programming using Python, with a focus on natural language processing, predictive analytics, deep learning, and computer vision. Sung-Woo received his PhD in economics and education from Columbia University, and his B.A. in public policy and economics from Stanford University. He lives in the Washington, DC area with his wife, daughter, and dog.

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