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ICCC 2023 : The Fourteenth International Conference on Computational Creativity - Call for Short Papers


When Jun 19, 2023 - Jun 23, 2023
Where Waterloo in Ontario, Canada
Submission Deadline May 2, 2023
Notification Due May 19, 2023
Final Version Due May 31, 2023
Categories    creativity   computer science   artificial intelligence   cognitive science

Call For Papers

Call for papers: Short Papers

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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 systems that act as creative partners for humans, 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.

*** Important Dates ***

Submissions due: May 2nd, 2023
Acceptance notification: May 19th, 2023
Camera-ready copies due: May 31st, 2023
Conference: June 19-23, 2023
All deadlines given are 23:59 anywhere on Earth time.

*** Special topics ***

In addition to the topics listed in the subsequent section, this year we encourage submissions in the following areas. The aim is to explore overlaps between Computational Creativity and the following critical issues:
– Climate Change
– Diversity, Equity and Inclusion

*** Topics ***
Original research contributions are solicited in all areas related to Computational Creativity research and practice, including, but not limited to:
- Application of Computational Creativity: Applications that address creativity in specific domains such as music, language, narrative, poetry, games, visual arts, graphic design, product design, architecture, entertainment, education, mathematical invention, scientific discovery, and programming.
- Human-Machine Creativity: Applications and frameworks that allow for co-creativity between humans and machines, in which the machine acts as a meaningful creative partner.
- Evaluation: Metrics, frameworks, formalisms and methodologies for the evaluation of creativity in computational systems, and for the evaluation of how systems are perceived in society.
- Computational Models and Paradigms: Computational models of social aspects of creativity, including the relationship between individual and social creativity, diffusion of ideas, collaboration and creativity, formation of creative teams, and creativity in social settings. Computational paradigms for understanding creativity, including heuristic search, analogical and meta-level reasoning, and representation.
- Interdisciplinary perspectives: Cognitive and psychological computational models of creativity, and their relation with existing cognitive architectures and psychological accounts; Perspectives on computational creativity which draw from philosophical and/or sociological studies in a context of creative intelligent systems.
- Focus on data: Big data approaches to computational creativity; Resource development and data gathering/knowledge curation for creative systems, especially resources and data collections that are scalable, extensible and freely available as open-source materials.
- Societal Impact: Ethical considerations in the design, deployment or testing of CC systems, as well as studies that explore the societal impact of CC systems.
- Novel experiences & factors:Innovation, improvisation, virtuosity and related pursuits investigating the production of novel experiences and artifacts within a CC context. Computational accounts of factors that enhance creativity, including emotion, surprise (unexpectedness), reflection, conflict, diversity, motivation, knowledge, intuition, reward structures.
- CC Provocations: Raising new issues that bring the foundations of the discipline into question or throw new light on seemingly settled ones.

New papers reflecting all computational approaches and perspectives on creativity are welcome, including e.g., symbolic approaches, neural and statistical approaches, hybrid approaches, big-data approaches, rule-based approaches, curated approaches, and so on. The onus is on authors to argue and/or explicitly demonstrate the relevance of their work to the topic of computational creativity

*** Paper Types ***
Short papers offer concise treatments of work and ideas that are better suited to this concentrated format. We welcome different types of short paper, such as System Demonstrations, Late Breaking Results, Field and event reports, Debate Sparks, among others.

*** More Information ***
More information can be found at

*** Organising Committee ***
– General Chair Dan Brown
– Program Chairs: Alison Pease, João Miguel Cunha and Maya Ackerman
– Workshops and Tutorials Chair: Rafael Pérez y Pérez
– Doctoral Consortium Chair: Pablo Gervás
– Demo Chair: Rob Saunders
– Publicity Chair: Christian Guckelsberger
– Proceedings Chair & Webmaster: Paul Bodily

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