Call for Proposals — Deadline Extended Until 14 February 2020
How can libraries and archives best contribute to emerging critical discourses around algorithms, machine learning, and artificial intelligence? Recounting Algorithms is a two-day workshop, supported by the Council on Library and Information Resources (CLIR) and hosted by the University of Toronto Mississauga Library, that aims to enrich the intersections of critical algorithm studies and academic librarianship.
We invite proposals for pedagogical resources, creative projects, and library services that explore how libraries can support and build on investigations of algorithmic systems (including machine learning and AI) and their enabling social conditions. While proposals should be oriented toward the library as a context for sustaining and supporting instruction and critical inquiry, we encourage submissions from non-librarians, particularly from educators, researchers, graduate students, artists, journalists and advocates. Potential themes include but are not limited to:
- Projects to collect, preserve, and curate materials relevant to the study of algorithmic systems.
- Resources for addressing emerging aspects of information and digital literacy related to machine learning and artificial intelligence.
- Projects that reframe core values and practices (such as access and literacy) in light of work from critical algorithm studies.
Invited workshop attendees will present proposals (in draft or prototype form) and participate in workshop activities to further develop their projects. Projects will be shared as an online resource following the workshop.
Submissions should include a project abstract (500-word max) and bio (50-word max) for each presenter. If submitting with co-authors, please limit the group to no more than three presenters. Please submit all materials via email firstname.lastname@example.org by February 14, 2020. Email email@example.com with questions.
More information @ https://recounting.net
- Seth Erickson (Penn State University Libraries)
- Chris Young (University of Toronto Mississauga)
- Andrew Meade McGee (Carnegie Mellon University Libraries)
- Wendy Hoi Yan Wong (Chinese University of Hong Kong Library)
- Justin Shanks (Montana State University Library)