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Digital Humanities Initiative

The CUNY Digital Humanities Initiative (CUNY DHI), launched in Fall 2010, aims to build connections and community among those at CUNY who are applying digital technologies to scholarship and pedagogy in the humanities. All are welcome: faculty, students, and technologists, experienced practitioners and beginning DHers, enthusiasts and skeptics.

We meet regularly on- and offline to explore key topics in the Digital Humanities, and share our work, questions, and concerns. See our blog for more information on upcoming events (it’s also where we present our group’s work to a wider audience). Help edit the CUNY Digital Humanities Resource Guide, our first group project. And, of course, join the conversation on the Forum.

Photo credit: Digital Hello by hugoslv on sxc.hu.

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Fwd: [DHSI] April Yale DH event

  • Posted by Matthew K. Gold (he/him) on March 20, 2024 at 9:23 am

    ———- Forwarded message ———
    From: Shipp, Kayla <kayla.shipp@yale.edu>
    Date: Thu, Mar 14, 2024 at 12:59 PM
    Subject: [DHSI] April Yale DH event
    To: institute@lists.uvic.ca <institute@lists.uvic.ca>

    *Join us virtually on April 11th at 1:30 p.m. EDT for Computing Taste: Care
    & Control in Algorithmic Recommendation! Nick Seaver will introduce us to
    his research on algorithmic music recommendation before opening up the
    floor for discussion.*

    All are welcome, but please register via Eventbrite
    (https://www.eventbrite.com/e/virtual-talk-computing-taste-care-control-in-algorithmic-recommendation-tickets-861727860227?aff=oddtdtcreator)!
    See below for more details.

    ABOUT THE EVENT

    The people who make music recommender systems have lofty goals: they want
    to broaden listeners’ horizons and help obscure musicians find audiences,
    taking advantage of the enormous catalogs of music streaming services. But
    for their critics, recommender systems seem to embody all the potential
    harms of algorithms: they flatten culture into numbers, they normalize
    ever-broadening data collection, and they profile their users for
    commercial ends. This talk presents the results of several years of
    ethnographic fieldwork with makers of music recommendation in the US,
    describing how they navigate the tensions between care and control in the
    construction of algorithmic systems.

    SPEAKER BIO

    Nick Seaver is an assistant professor in the Department of Anthropology and
    director of the Program in Science, Technology, and Society at Tufts
    University in Medford, MA. His ethnographic research on the developers of
    algorithmic music recommendation has appeared in Cultural Anthropology,
    Cultural Studies, and Big Data & Society. He is co-editor of Towards an
    Anthropology of Data (2021) and author of Computing Taste: Algorithms and
    the Makers of Music Recommendation (2022).

    *Kayla Shipp, PhD* (*she/they*)

    Digital Humanities Program Manager

    Franke Family Digital Humanities Lab

    Yale Library

    203.436.1003 | kayla.shipp@yale.edu

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