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The Improving Students’ Sociotechnical Literacy in Engineering project aims to integrate social justice topics with technical knowledge in a first-year engineering course. The approach involves redesigning an existing intro to computing course with justice-based activities, supported by an Equity Learning Assistant (ELA) program. This program trains upperclass students to facilitate in-class discussions on equity and social justice. The project targets improvements in students' critical sociotechnical literacy and engineering identity. Activities include analyzing ethically complex data sets and developing equity-focused projects, while encouraging students to integrate social, economic, and political dimensions into their engineering work. This initiative spans four years (one pilot year plus three NSF-funded iterations) and involves a multidisciplinary research team of engineers and education researchers.
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The Sociotechnical Stack: Opportunities for Social Computing Research in Non-Consensual Intimate Media
Non-consensual intimate media (NCIM) involves sharing intimate content without the depicted person's consent, including 'revenge porn' and sexually explicit deepfakes. While NCIM has received attention in legal, psychological, and communication fields over the past decade, it is not sufficiently addressed in computing scholarship. This paper addresses this gap by linking NCIM harms to the specific technological components that facilitate them. We introduce thesociotechnical stack, a conceptual framework designed to map the technical stack to its corresponding social impacts. The sociotechnical stack allows us to analyze sociotechnical problems like NCIM, and points toward opportunities for computing research. We propose a research roadmap for computing and social computing communities to deter NCIM perpetration and support victim-survivors through building and rebuilding technologies.
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- PAR ID:
- 10557170
- Publisher / Repository:
- Proc. ACM Hum.-Comput. Interact
- Date Published:
- Journal Name:
- Proceedings of the ACM on Human-Computer Interaction
- Volume:
- 8
- Issue:
- CSCW2
- ISSN:
- 2573-0142
- Page Range / eLocation ID:
- 1 to 21
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.1145/3686914
