Call for papers for the 17th International Conference on Computational Creativity (ICCC'26)
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The 17th International Conference on Computational Creativity (ICCC'26)
June 29 to July 3, 2026 — Coimbra, Portugal
Call for papers: full papers
Computational Creativity (CC) is a field rooted in scientific disciplines such as Artificial Intelligence, Cognitive Science, Engineering, Design, Psychology, and Philosophy, each of which explores the potential for computers to be creative – either in partnership with humans or as autonomous creators in their own right.
The 17th International Conference on Computational Creativity (ICCC’26) welcomes papers on different aspects of CC, such as principles, theories and models of creativity in computers, frameworks that offer conceptual insight and computational rigor for describing and analysing machine (and human) creativity, systems that exhibit creative autonomy or act as creative partners for human creators, methodologies for building or evaluating CC systems, as well as approaches to teaching CC in schools and universities or to promoting societal uptake of CC as a field and as a technology.
Themes and Topics
The 17th International Conference on Computational Creativity (ICCC’26) welcomes papers on different aspects of CC, such as principles, theories and models of creativity in computers, frameworks that offer conceptual insight and computational rigor for describing and analysing machine (and human) creativity, systems that exhibit creative autonomy or act as creative partners for human creators, methodologies for building or evaluating CC systems, as well as approaches to teaching CC in schools and universities or to promoting societal uptake of CC as a field and as a technology.
Themes and Topics
Original research contributions are solicited in all areas related to Computational Creativity research and practice, including, but not limited to:
- Foundations of Computational Creativity: theories, models, and principles of computational creativity.
- Interdisciplinary Perspectives: perspectives on computational creativity which draw from philosophical and/or sociological studies in the context of creative AI systems.
- Computational Paradigms: computational approaches for modelling cognitive aspects of creativity, such as heuristic search, analogical and meta-level reasoning, cognitive architectures, and re-representation.
- Human-Machine Co-Creativity: systems, studies, frameworks, or methodologies related to co-creativity between humans and AI, with emphasis on systems in which the machine acts as a creative partner.
- Social Models: computational models of social aspects of creativity, including social creativity, the diffusion of ideas, collaboration, team dynamics, and creativity in social settings.
- Psychological Factors: computational models of psychological factors that enhance creativity, including emotion, surprise (unexpectedness), reflection, conflict, diversity, motivation, knowledge, intuition, and reward structures. Additionally, social or experiential factors related to novelty and originality, such as innovation, improvisation, and virtuosity.
- Societal Impact: ethical considerations in the design, deployment, or testing of creative AI systems, as well as studies that explore the societal impact of computational creativity and generative AI.
- Computational Creativity Evaluation: metrics, frameworks, formalisms, and methodologies for the evaluation of creativity in computational systems, or for the evaluation of how such systems are perceived or accepted in society.
- Applications of Computational Creativity: computational applications of creativity in areas such as music, language (e.g., narrative, poetry, humor), games, visual arts, design, architecture, entertainment, education, mathematical invention, scientific discovery, and programming. Applications should be evaluated for their creativity using methods of the CC field, and the papers should carry a message relevant for the CC community.
- Data and Creativity: data science approaches to computational creativity — resource development and data gathering/knowledge curation for creative AI. There is a need for datasets and resources that are scalable, extensible, and freely available/open-source.
- Provocations: raising new issues not on this list that bring the foundations of the discipline into question or throw new light on seemingly settled debates.
Paper Types
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.
Important Dates
Important Dates
- Abstracts due: Feb 27, 2026
- Submissions due: Mar 6, 2026
- Acceptance notification: April 20, 2026
- Camera-ready copies due: May 27, 2026
- Conference: June 29 – July 3, 2026 — Coimbra, Portugal
All deadlines given are 23:59 anywhere on Earth time.
More Information
More Information
More information on the paper types and submission process can be found at:
https://computationalcreativity.net/iccc26/full-papers/
https://computationalcreativity.net/iccc26/full-papers/
Ultimo aggiornamento: 17-11-2025 - 16:50
