This edited collection examines how the creative industries can be supported to make best use of opportunities in digital technology and data-driven innovation.
This edited collection examines how the creative industries can be supported to make best use of opportunities in digital technology and data-driven innovation.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Melissa Terras is Professor of Digital Cultural Heritage at the University of Edinburgh, UK. Vikki Jones is Research Associate at the Institute for Design Informatics, University of Edinburgh, UK. Nicola Osborne is Creative Informatics Programme Manager at the University of Edinburgh, UK. Chris Speed is Professor of Regenerative Design Futures at RMIT, Melbourne, Australia.
Inhaltsangabe
1. Introduction: Framing data-driven innovation in the creative industries 2. Ecosystems and Partnerships: enabling factors for data-driven innovation in the creative industries 3. R&D in the Creative Industries: bringing the 'dark matter' of the sector to light with data 4. Digital and Data Literacy: models for data training and upskilling for the future creative industries 5. Diversity and Inclusion in the Data-Driven Creative Economy: an analysis of Creative Industries Clusters Programme approaches 6. Data Ethics in the Digital Creative Industries: encouraging self-reflection and best practices 7. Ownership and Control in the Creative Economy: On new property rights for digital assets 8. Decentralised Creative Economies and Transactional Creative Communities: new value discovery in the performing arts 9. On Creative Practice and Generative AI: co-shaping the development of emerging artistic technologies 10. Live Events, Digital Technologies, and Data-driven Innovation: lasting impacts from the pandemic pivot to digital 11. Data-Driven Innovation for Sustainable Practice in the Creative Economy: ecological, social, and cultural aspects
1. Introduction: Framing data-driven innovation in the creative industries 2. Ecosystems and Partnerships: enabling factors for data-driven innovation in the creative industries 3. R&D in the Creative Industries: bringing the 'dark matter' of the sector to light with data 4. Digital and Data Literacy: models for data training and upskilling for the future creative industries 5. Diversity and Inclusion in the Data-Driven Creative Economy: an analysis of Creative Industries Clusters Programme approaches 6. Data Ethics in the Digital Creative Industries: encouraging self-reflection and best practices 7. Ownership and Control in the Creative Economy: On new property rights for digital assets 8. Decentralised Creative Economies and Transactional Creative Communities: new value discovery in the performing arts 9. On Creative Practice and Generative AI: co-shaping the development of emerging artistic technologies 10. Live Events, Digital Technologies, and Data-driven Innovation: lasting impacts from the pandemic pivot to digital 11. Data-Driven Innovation for Sustainable Practice in the Creative Economy: ecological, social, and cultural aspects
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