Computational paradigms for understanding creativity, including heuristic search, analogical and meta-level reasoning, and representation.

Metrics, frameworks, formalisms and methodologies for the evaluation of creativity in computational systems, and for the evaluation of how systems are perceived in society.

Development and assessment of computational creativity-support tools, where the software ultimately takes on some creative responsibility in projects.

Creativity-oriented computing in learning, teaching, and other aspects of education.

Innovation, improvisation, virtuosity and related pursuits investigating the production of novel experiences and artefacts within a computational framework.

Computational accounts of factors that enhance creativity, including emotion, surprise(unexpectedness), reflection, conflict, diversity, motivation, knowledge, intuition, reward structures.

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.

Perspectives on computational creativity which draw from philosophical, cognitive,psychological and/or sociological studies of human behaviour put into a context of creative intelligent systems.

Computational creativity in the cloud, including how web services can be used to foster unexpected creative behaviour in computational systems.

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, programming.