An increasing awareness of the potential biases and problematic impacts of digital technologies is driving a renewed focus on social responsibility and ethical considerations within the fields of engineering and the computer and data sciences. Similarly, a renewed sense of complicity in our socio-technical environments has encouraged scholars from a range of design, humanities, and social science disciplines to engage more directly in public-facing work, often through prototyping, exhibition, and hands-on educational activities. However, practical and epistemic difficulties continue to impact our capacities to bridge across technical and social disciplines and to innovate the pedagogical activities of both areas. The so-called ‘great divide’ as described by Bowker, Star, Turner, and Gasser remains as present today as when they engaged with this issue in the late 90’s.
This special issue on hybrid pedagogies seeks articles addressing the above themes. We welcome submissions that address the pedagogical challenges entangled with attempts to bridge across social and technical forms of scholarship and work. Submissions informed by critical race studies, postcolonial, queer, feminist, and learning theory are encouraged as are those addressing digital tools, practices, and components from a range of disciplinary perspectives. We are equally open as to the forms and methods of analysis. Examples include but are not limited to:
auto-ethnographic accounts of teaching and mentorship descriptions and analyses of organizational efforts and curriculum development
positioning of design and engineering in wider sites of world-building
methodological inventions on the cusp of the social and technical disciplines
interventions that amplify under-recognized legacies of data science or technology development.
Submission to this special issue is a two-stage process. Authors interested in contributing are invited to submit an extended abstract (500 words) for review. Authors whose abstracts are accepted will then be invited to submit a full paper (up to 7000 words). Full papers will then be double blind peer reviewed for acceptance into the special issue. Note that acceptance of abstract alone does not imply acceptance for publication in the journal.
Important Dates:
Abstracts due: May 30; Full papers due: July 15; Final versions due Sept 1; Expected publication: Winter, 2020
Submission method:
Please send abstracts as PDFs or any questions to [email protected].