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CFP: Recounting Algorithms: A Workshop on Critical Algorithm Studies in the Library Abstract + bio due Jan 17th to [log in to unmask] More below. > ======================================= > > [Apologies for cross-posting] > > > > *Recounting Algorithms: A Workshop on Critical Algorithm Studies in the > Library* > > *University of Toronto Mississauga Library* > > *May 7–8, 2020* > > [https://recounting.net/] > Call For Proposals > > 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 and hosted by the University > of Toronto Mississauga Library, that aims to enrich the intersections of > critical algorithm studies and academic librarianship. > > Efforts to historicize, culturally situate, and foreground algorithmic > systems as manifestations of bias and power have flourished recently. Work > in this area has contributed important insights into the often oppressive > operational conditions of systems used to automate tasks such as hiring, > criminal risk assessment, supply chain management, web page ranking, and > surveillance. The robustness of this growing field of inquiry is > demonstrated in the varied institutional backgrounds of those who have > contributed to it—they include journalists, artists, advocates, and > academic researchers from across the disciplinary spectrum. > > Librarians and archivists are beginning to incorporate aspects of this > critical discourse through projects that advance algorithmic literacy and > initiatives, like Information Maintainers > <http://themaintainers.org/info-mc-work>, that emphasize the intersection > of information technology, data governance, and social justice. Relatedly, > initiatives such as Emulation as a Service > <https://www.softwarepreservationnetwork.org/eaasi/> and Collections as Data > <https://collectionsasdata.github.io/> suggest new services and > infrastructures that might facilitate analysis of algorithmic systems. > > *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 > > 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 [log in to unmask] by January 17, 2020. > Successful applicants will be notified of acceptance by February 7, 2020. > Email [log in to unmask] with additional questions. > Keynotes > > Keynote speakers will be announced in the coming weeks. Check back soon! > Coordinators > > - 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)