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Humanist Archives: Jan. 30, 2020, 6:23 a.m. Humanist 33.575 - events: critical algorithms in the library

                  Humanist Discussion Group, Vol. 33, No. 575.
            Department of Digital Humanities, King's College London
                   Hosted by King's Digital Lab
                Submit to: humanist@dhhumanist.org

        Date: 2020-01-29 16:24:52+00:00
        From: Chris Young 
        Subject: FW: CFP - Recounting Algorithms: A Workshop on Critical Algorithm Studies in the Library, 7-8 May 2020 at UTM Library

Recounting Algorithms: 
A Workshop on Critical Algorithm Studies in the Library

University of Toronto Mississauga Library
May 7-8, 2020

Deadline extended to February 14th

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, that emphasize the intersection of information
technology, data governance, and social justice. Relatedly, initiatives such as
Emulation as a Service and Collections as Data 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 participants will present their proposals (in draft or
prototype form) and engage in workshop activities to refine and develop them
using constructive input from the group. Workshopped 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
recountingalgs@gmail.com by February 14, 2020.
Successful applicants will be notified of acceptance by February 28, 2020. Email
recountingalgs@gmail.com with additional


Seth Erickson (Penn State University Libraries)
Chris Young (University of Toronto Mississauga Library)
Andrew Meade McGee (Carnegie Mellon University Libraries)
Justin Shanks (Montana State University Library)
Wendy Hoi Yan Wong (Chinese University of Hong Kong Library)

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