News and Events: Conferences

Please note that this newsitem has been archived, and may contain outdated information or links.

7 - 11 September 2020, 11th International Conference on Computational Creativity (ICCC'20), Online

Date: 7 - 11 September 2020
Location: Online
Deadline: Sunday 1 March 2020

Computational Creativity (or CC) is a discipline with its roots in Artificial Intelligence, Cognitive Science, Engineering, Design, Psychology and Philosophy that explores the potential for computers to be autonomous creators in their own right. ICCC is an annual conference that welcomes papers on different aspects of CC, on systems that exhibit varying degrees of creative autonomy, on frameworks that offer greater clarity or computational felicity for thinking about machine (and human) creativity, on methodologies for building or evaluating CC systems, on approaches to teaching CC in schools and universities or to promoting societal uptake of CC as a field and as a technology, and so on.

The evolution of the COVID-19 crisis, the concerns about safety and well-being of the participants and the current travel constraints have taken the organisation of turning ICCC’20 100% digital.

Original research contributions are solicited in all areas related to Computational Creativity research and practice. Papers on computational paradigms of all kinds - from symbolic to statistical to deep learning models, as well as hybrid approaches - are welcome, provided they address pertinent aspects of CC. We welcome the submission of five different types of papers: Technical papers, System or Resource description papers, Study papers, Cultural application papers and Position papers.

Additionally, we are looking for tutorial proposals to be held along with the main conference. We welcome proposals covering between one and four 120-minute sessions, and addressing any aspect of computational creativity research. Each proposal will be evaluated by independent reviewers.

For more information, see

Please note that this newsitem has been archived, and may contain outdated information or links.