Friday, January 12, 2024

Fwd: Call for contribution


The Conference on AI and Music Creativity is an annual conference bringing together a community working on the application of AI in music practice. The AI and Music research focus is highly interdisciplinary with topics ranging from performance systems, computational creativity, machine listening, robotics, sonification, and more.

The theme of AIMC 2024 conference - which will take place September 9-11 at Oxford University - is Interconnections between Music AI and other fields, where we are interested in how the Music AI community considers connections and intersections with other fields of research and practice. We encourage authors, composers, performers, and artists to examine the intersection between their work in AI and other fields - see below for indicative topics. We encourage contributions that articulate not only how other fields inform Music AI research and practice, but how Music AI contributes or may contribute to other fields.

Dates

March 10th submission closes

April 1st - notification to authors

September 9 conference opens


All submissions will be created on pubpub.org while the review process will be handled through a conference management systems. Detailed instructions about the process will be available under the Call tab in the conference webpages (link above). Paper submission should be anonymised. This is not required for music or workshop/tutorials submissions.


Papers

Papers are up to 5000 words, not including Abstract, Acknowledgements, Ethics Statement, or References. Please consider the list of indicative topics for the conference. We encourage multimedia embedded in the paper, so pictures, illustrations, videos, sound files and <iframes>. We also encourage links to code repositories. Submitted works should be original, i.e. not published elsewhere or under review. 

Paper submissions should demonstrate rigorous research methodology and will be evaluated according to their novelty, academic quality, appropriateness, importance, readability, ethical standards and paper organisation.

  • Authors names should be excluded from the front matter and in all references (e.g. replace with XXX XXX).

  • Supplementary materials referenced in footnotes and links such as GitHub repositories should be uploaded to an anonymous account. The author's account(s) can be used for the camera ready.

  • Authors can indicate preference for presentation (15 minutes) or poster.


Workshops and Tutorials

We invite proposals for workshops and tutorials. These sessions should be interactive and focus on new technologies, systems or artistic practices. Proposals should specify the number of participants who can be accommodated and the duration (e.g. hour, half day, full day) and indicate the skills, experiences or artefacts that participants will come out with. 

Submission Details:

  • Workshop or Tutorial session title

  • List of contributors 

  • Name/Affiliation and a 150-word biography for each contributor

  • A 800-1000 word (excluding references) description (including an abstract) that should detail

    • Review contextualising the practice field relevant to your work.

    • Methods taken in developing the work

    • The hands-on nature of the workshop/tutorial (e.g. how will this be distinct from a long presentation)

  • A technical rider detailing:

    • Technical equipment you will provide 

    • Technical equipment which you will require

    • Setup details such as tables, space requirements, power, visuals, audio.

    • Proposed duration

    • Any accessibility requirements.

  • Other documentation (web links etc)

Music

Music submissions should relate to AI in either specific or broad terms. This includes, but is by no means limited to:

  • music featuring AI as a creative tool

  • music generated by AI, or using AI performance systems

  • sonification

  • electroacoustic music

  • experimental and improvised music

  • live coding and live electronic music

  • beat-based music

  • Algorave music

  • music exploring computational creativity

  • music exploring machine listening

  • music with or about robotics

  • music adapted from AI

  • music using AI-related instruments

  • music featuring AI-generated text or visuals

  • any other related areas

Music which does not directly use AI but relates to it programmatically or aesthetically, or music which comments on and/or explores new perspectives on AI, is also encouraged.

Submissions will be required to detail how the music relates to AI and the conference theme of Interconnections between Music AI and other fields. They will also be required to provide a technical description of the piece including details such as speaker/microphone setup and electronics processing where appropriate.

Accepted submissions will be programmed at AIMC 2024 in one of three performances:

  • Performance 1, a concert at the Wolfson College auditorium, will feature 1-4 professional instrumental players, optional live or fixed electronics and video. Exact instrumentation will be decided based on accepted submissions. Submissions should indicate if AIMC should provide performers.

  • Performance 2, at an Oxford University performance space, will feature a flexible stage and electronics/projected visuals set-up suitable for music with more complex technical requirements. No live performers are provided, but musicians are welcome to perform their own works, or provide their own performers (this should be indicated in the submission)

  • Performance 3 is a club night at the Old Fire Station. This is a very flexible space with multiple rooms and areas. The event will feature music suitable for a club night including (but not limited to) beat-based, ambient, live electronic and algorave music.

Music submissions are submitted on PubPub and should include the title, online links to recordings and/or scores, a description (800-1000 words) of how the project relates to AI and the theme of the conference including contextual information relating the piece to relevant practices. In addition, submission should indicate which performance options it is suited for, and any access, technical, or performer requirements as well as short programme notes.