We are now calling for papers for Art Machines: International Symposium on Computational Media Art (ISCMA), which will take place between 4th – 7th January 2019 at the School of Creative Media, City University of Hong Kong. “Art Machines” will bring together Academics, Artists and Professionals in the field of Computational Media Art in a four-day symposium whose core theme will be the topic of Machine Learning and Art.
Art Machines: International Symposium on Computational Media Art (ISCMA 2019)
Appel à participation
This agenda-setting Symposium will provide an opportunity for in depth reflection upon and assessment of the impact of artificial intelligence on the making of computational art and media, as well as to reflect more broadly on the conditions of existence, range, and futures of computationally based art and media. In addition to the academic keynotes, panels and discussion forums, the conference will include the presentation of artistic projects, a major concurrent exhibition on Asian Digital Art, and a student-led Workshop.
Open Call Topics:
1. Machine Learning and Art (core theme)
2. Sound Art
3. Immersive Media
4. Digital Cinema
5. Digital Animation
7. Computational Humanities
8. Creative Coding
9. Urban Media
10. Digital Fabrication
11. Physical Computing
12. Digital Preservation
13. Curatorial Practice
14. Brain Computer Interface
15. Other Topics Pertaining to Computational Media Art
Open Call Formats:
1. Research Papers (double-blind review)
2. Scholarly Abstracts
3. Artistic Project Abstracts
4. Pre-Constituted Scholarly or Artistic Project Panels
The submission deadline has been extended to 1st September 2018.
All accepted research papers, scholarly/artistic project abstracts, panel abstracts, abstracts of the accepted posters will be published in full in the conference proceedings. Selected papers will be invited for publication in the ACM TOMM Special Issue on Big Data, Machine Learning and AI Technologies for Art and Design.
To learn more about the Symposium, please visit our website.
For details on the submission requirements, please click here.
For enquiries, please contact us at (852) 34428049 or via email email@example.com.