Data Science Research Network Seeking New Fellows

Applications are now open for the Data Science Scholarships offered by the UO Social Systems and Data Science Network to any faculty member interested in applying data science methods to their research.

The app can be found in line and will be due in mid-November. UO faculty members should choose the “Interested in Membership” option when asked for what level of network membership they are applying for.

Accepted faculty members will join a cohort of approximately 20 peers in virtual workshops developing better knowledge of data science research methods. The workshops will continue throughout the 2021 academic year, culminating in a final project with learned techniques applied to their own research.

“Fellows will gain a simple but powerful understanding of the latest methods of data science in social systems,” said Kathleen scalise, co-coordinator of the network. “They will receive accessible instruction, in-depth coaching and practical advice in their areas of interest. “

The program will focus on data science techniques such as machine learning, text mining, advanced classification, and neural networks. Many of these techniques require knowledge of Python, the primary programming software currently used in data science.

Data science uses quantitative and analytical approaches to extract information from large, dense data sets. The goal of the Social Systems Data Science Network and its Faculty’s Data Science Research Fellowship program is to encourage further use of data science across a wider range of disciplines.

“As big data is increasingly common in education and social systems research, the time has come to bring the SDS network together as part of the larger UO Data Science Initiative, highlighting and elevating UO’s place as a leader in the social aspects of data science applications, ”said Emily tanner smith, co-coordinator of the network.

The main members of the network have been conducting data science research since the inception of the program in 2019. For example, an associate research professor Sung Woo Cho presented his research on student success to the UO board of directors on September 10. Cho also contributed to COVID-19 research by analyzing 50,000 journal articles related to COVID in two weeks using data science techniques.

“The goal is to use machine learning to try to more effectively understand what the main themes and topics are in large sets of published research,” Cho said.

Other senior faculty members study mental health, general wellness, substance abuse, early intervention programs, special education, and more using data science methods.

The network will also welcome a speaker this fall. Sun Min, an associate professor at the University of Washington, will present her work on machine learning in educational research on November 20, at a date to be announced.

To learn more about the objectives of the network or the scholarship program, visit its Blog or send an email to

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