Residency Interest Group

 View Only
last person joined: 2 months ago 

Charge: To support current and former residents to network, share their expertise, gain national leadership and service experience, and prepare for transitioning to post-residency positions through: a) advancing resident education and residents’ professional success through inter-collegiate collaboration; b) creating programming and resources that center residents; c) advocating for current residents through a liaison relationship with the ACRL Diversity Alliance; d) providing opportunities to engage in research on residencies; and e) centralizing information regarding program availability.
Community members can post as a new Discussion or email ALA-acrlresig@ConnectedCommunity.org
Before you post: please note job postings are prohibited on ALA Connect. Please see the Code of Conduct for more information.

Fwd: Exciting Announcement from RDMLA

  • 1.  Fwd: Exciting Announcement from RDMLA

    Posted 25 days ago
    FYI! 

    For those of you who are interested in accessing the "RDMLA: AI for Librarians" course but received a request for a join code, please try to enroll the course from the page linked below:

    From: Rong Tang <00000952cea8916e-dmarc-request@lists.wayne.edu>
    Date: November 5, 2025 at 8:48:00 AM EST
    To: JESSE@lists.wayne.edu
    Subject: Exciting Announcement from RDMLA
    Reply-To: Rong Tang <rong.tang@simmons.edu>

    

    [EXTERNAL]

    Dear all,


    The RDMLA team is thrilled to announce the launch of our newest course: RDMLA: AI for Librarians!


    Artificial Intelligence is rapidly transforming the landscape of data and information services-and librarians are at the forefront of this change. That's why we created AI for Librarians: a practical, hands-on course designed to help you build AI competencies in ways that directly support library services and workflows. No prior RDMLA coursework is required-this course is free and open to all learners around the world!


    What's Inside?
    RDMLA: AI for Librarians introduces you to the fundamentals of AI while emphasizing ethical, responsible, and library-focused applications. The content is rooted in real-world scenarios you'll encounter in library practice.

    We're launching today with multiple brand-new units:

          AI Tools for Library Research – Explores how generative AI tools can support library research questions in innovative ways.

          AI Ethics – Examines key ethical challenges, applies frameworks for responsible AI use, and outlines policy recommendations for AI integration in libraries.

          AI Use Cases – Showcases how AI can streamline library workflows and enhance user services.

    And this is just the beginning, stay tuned for more AI Use Cases to be added in 2026!


    Thanks to the generous sponsorship of Elsevier, RDMLA: AI for Librarians is completely free and available worldwide. All materials are hosted on the Canvas Network under a CC-BY-NC-SA license.


    To access the course, please create a Canvas Network account or sign in using this course link : https://learn.canvas.net/courses/3382 


    We can't wait to hear your thoughts as you dive into RDMLA: AI for Librarians. This is your opportunity to gain timely, practical AI knowledge in the library context.

     

    Best regards,
    Rong Tang & Elaine Martin

    Co-leaders, RDMLA/DSCPE

     


    The translation of RDMLA into Spanish will make the RDMLA content accessible to approximately 600 million Spanish-speaking learners around the world. This project is the result of a partnership between a team of lecturers from the Department of History of Science and Documentation and members of the research group at the Health and Social Research and Information Unit (UISYS) at the Universitat de València (Spain). In September 2024, RDMLA established its official partnership with the Universitat de València and began working on a Spanish language version of RDMLA.

    To enroll in the course, please use the following link

    https://www.canvas.net/browse/simmonsu/courses/rdmla-espanol

    The units that have been translated come directly from the eleven original RDMLA units. You may take the units in sequence or out of order. All of the content is freely available and open for reuse under the CC-BY-NC-SA licensing. 


    Please direct any questions on enrolling in the RDMLA Spanish version to the RDMLA Team, rdmla.help@gmail.com.


    Best,


    Rong Tang, Ph.D., RDMLA Co-Leader (she/her)

    Professor Emerita

    School of Library and Information Science

    Simmons University


    --
    Rong Tang, Ph.D.
    Professor Emerita
    School of Library and Information Science
    Simmons University
    Recent Publications and Projects: 
    Top Cited Article: 
    Co-Leader, RDMLA: https://rdmla.github.io/
    Co-Leader, DSCPE: https://dscpe.github.io/
      


    Access the JESSE Home Page and Archives

    Unsubscribe from the JESSE List



    --
    Have a wonderful day and week. Stay safe and well.

    Take care, 
    Twanna 

    Twanna Hodge, MLIS (she, her, hers)
    PhD Candidate | College of Information
    University of Maryland, College Park
    2013 Spectrum Scholar