Principal Investigators:
Angela Murillo, Assistant Professor; Program Director - Data Science, Library and Information Science, Luddy School of Informatics, Computing, and Engineering. Danbi Yoo, Visiting Assistant Professor, Library and Information Science. Andrea Copeland, Associate Professor, Department Chair (LIS), and Program Director (MLIS), Luddy School of Informatics, Computing, and Engineering.
Project Title:
Critical Framework for Data Ethics and Justice Curriculum
Funding Level:
$15000
Abstract:
In the evolving landscape of our data-driven society, integrating ethical considerations with practical problem-solving in data workflows is crucial in both academic and industry contexts. This project employs a critical framework to incorporate data ethics and data justice into undergraduate Data Science (DS) and masters-level Library and Information Science (MLIS) curriculum, emphasizing their relevance in pedagogical strategies and practical applications. Current attempts to include data ethics topics in DS and MLIS courses have been hindered by inconsistent understanding and application of ethics across courses. Instructors often struggle with topic selection, teaching methodologies, and assessment strategies. To address these challenges, this project aims to: 1) Develop a cohesive pedagogical framework guided by the Data Science Ethos Lifecycle, and review and revise Program Learning Outcomes (PLOs) for DS and MLIS accordingly; 2) Create and test sample assignments in pilot courses in Spring 2025, focusing on synergizing ethics with technical content; and 3) Ensure diversity, inclusivity, and accessibility in Canvas course content and sample assignments. The expected outcomes will equip students with both theoretical insights and practical skills, which are increasingly sought after in the data profession, and offer enhanced career opportunities, especially for underrepresented groups and those with lower tech literacy.
