This group is devoted to a discussion of topics related to music encoding, and is an extension of the Music Encoding Initiative channels on MEI-L and website, https://music-encoding.org/.

The Music Encoding Initiative (MEI) is a community-driven effort to define a system for encoding musical documents in a machine-readable structure. MEI brings together specialists from various music research communities, including technologists, librarians, historians, and theorists in a common effort to define best practices for representing a broad range of musical documents and structures.

The official MEI mailing list, MEI-L, is used to inform the community about upcoming events, discuss possible improvements for MEI, evaluate encoding strategies and models, and get support from the full community. The list is open to anyone for subscription, and everyone is welcome to join MEI-L by subscribing to: https://lists.uni-paderborn.de/mailman/listinfo/mei-l.

MEI has a Slack channel that is used for discussion, questions, announcements, and collaboration, https://music-encoding.slack.com. Visit this page for additional details: https://music-encoding.org/community/community-contacts.html.

MEI is hosted by the Akademie der Wissenschaften und der Literatur, Mainz.

CFP: MEI Pedagogy Resource

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      Anna E. Kijas
      Participant
      @akijas

      The MEI Digital Pedagogy Interest Group invites proposals for an online, open-access, peer-reviewed resource showcasing pedagogical use cases of MEI and music encoding more generally. We seek “music encoding” initiatives across the full spectrum of instruction in archives, library work, and music studies to demonstrate how we teach music encoding, how it can be used to help us answer specific research questions, and how to make it more accessible to students and instructors. We are interested in contributions that include, but are not limited to, lesson plans, instructional materials, short essays, tutorials, and examples drawn from existing projects.

      The Music Encoding Initiative (MEI) is a community-driven, open-source effort to define a system for encoding musical documents in a machine-readable structure. MEI brings together specialists from various music research communities, including technologists, librarians, historians, and theorists in a common effort to define best practices for representing a broad range of musical documents and structures.”

       

      Topics and Themes

      We are interested in contributions that explore a variety of pedagogical topics and themes including, but not limited to, the following:

      • How can instructors incorporate music encoding in the classroom to explore specific types of music research questions? For example, questions may be related to aspects of western and non-western musics, performance, or use of analytical or computational methods;
      • Project use cases that highlight specific applications of music encoding, including challenges or failures, as well as success stories;
      • Approaches to teaching music encoding in asynchronous and online learning environments;
      • Incorporating musical examples by women and underrepresented composers into music encoding pedagogy;
      • Foundational knowledge and skills needed before undertaking music encoding work;
      • Methods for teaching and promoting music encoding amongst peers outside of the classroom setting

       

      How to Participate

      Interested contributors should submit this form with a short proposal (up to 500 words) and/or to volunteer for a particular role. You can volunteer without contributing a proposal.

      Timeframe

      • Submit your proposal or express interest in a volunteer role by January 10, 2022
      • Interested contributors and volunteers will be contacted by February 1, 2022
      • Submit your manuscript (up to 7-8,000 words) by June 10, 2022
      • Manuscripts will be peer-reviewed during Summer 2022
      • Publication planned in late Fall 2022

       

      Please reach out to Anna E. Kijas (anna.kijas at tufts.edu) and Joy Calico (joy.calico at vanderbilt.edu), co-administrators of the Pedagogy Interest Group, with any questions.

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      This topic was also posted in: Digital Humanists.
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