Critical Framework for Data Ethics and Justice Curriculum
In the evolving landscape of our data-driven society, integrating ethical considerations with practical problem-solving is crucial. This project incorporates data ethics and justice into undergraduate Data Science (DS) and masters-level Library and Information Science (MLIS) curriculum. Current efforts to include ethical content in technical courses often face challenges, including inconsistent understanding of ethics, difficulties in selecting appropriate topics, and a lack of effective teaching and assessment strategies. To address these challenges, this project 1) develops a pedagogical framework, 2) creates and tests assignments, and 3) ensures diversity, inclusivity, and accessibility in course content and assignments.
Authors
- Angela P. Murillo (ORCID: https://orcid.org/0000-0002-7213-7335)
- Andrea Copeland (ORCID: https://orcid.org/0000-0002-6815-1548)
- Danbi Yoo (ORCID: https://orcid.org/0000-0001-6770-4465)
Institutions
- Indiana University Indianapolis (US)
- Indiana University – Purdue University Indianapolis (US)
- Indiana University (US)
Publication Details
- Journal
- Proceedings of the ALISE Annual Conference
- Published
- 2025-10-03
- DOI
- https://doi.org/10.21900/j.alise.2025.1956
- Primary Topic
- Privacy-Preserving Technologies in Data
- Type
- article
- Field-Weighted Citation Impact
- 0.00