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Developing a Model for Sociotechnical Data Analytics Education (SODA)

Description

SODA-LOGO

The goal of this program is to provide students with an understanding of both the social and technical aspects of data analytics to prepare the next generation of leaders who can work with big data. Classroom experience culminates with a hands-on practicum, project or research focus on any aspect of data analytics.

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Project PI(s)

PI: Cathy Blake
Project Contact: Catherine Blake
Funded by: Institute of Museum and Library Services
Grant number: RE-05-12-0054-12

Research Area(s)

Socio-technical Data Analytics
Faculty, researchers and students in the Socio-technical Data Analytics Group design, develop, and evaluate new technologies in order to better understand the dynamic interplay between information, pe…

Project Team

Catherine Blake (PI)
Virgil E. Varvel Jr. (Project Coordinator)
Shan Chen (Graduate Assistant)
Craig Evans (Graduate Assistant)
Henry Gabb (Graduate Assistant)
Max Isenholt (Graduate Assistant)
Ana Lucic (Graduate Assistant)
Elizabeth Surbeck (Graduate Assistant)
Zhaoyu Wang (Graduate Assistant)
Wu Zheng (Graduate Assistant)

Publications

Gabb, H., Blake, C., & Lucic, A. (2015, March). A Method to Automatically Identify the Results from Journal Article. Paper presented at the 2015 iConference, Newport Beach, CA.
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Blake, C. (2015, March). Evidence-based Discovery. Paper presented at the 2015 iConference, Newport Beach, CA.
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Lee, J., & Blake, C. (2014, October). Information integration: a case study of air quality in Chicago and St Louis. Poster presented at ASIS&T 2014, Seattle, WA.
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Gabb, H. A., & Blake, C. (2014, October). Parameter tuning: Exposing the gap between data curation and effective data analytics. Poster presented at ASIS&T 2014, Seattle, WA.
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All publications