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This report provides a snapshot of what the Creative Informatics partnership has achieved over the last two years (Nov 2018-June 2021), as we reach the midway point of our funding period (2018-2023). Creative Informatics (https://creativeinformatics.org/) is part of the Creative Industries Clusters Programme; a UK wide initiative designed to drive innovation, growth, and sustainability in the Creative Industries, through a first of-its-kind research and development investment of £80m by the UK government. With a focus on Edinburgh and South East Scotland, Creative Informatics is working to drive growth and sustainability in this region’s world class creative industries by supporting creative individuals and organisations to do inspiring things with data. The programme is led by the University of Edinburgh and is delivered in partnership with Edinburgh Napier University, CodeBase and Creative Edinburgh. Please note: the CC license for this file applies to the text of this report only and not to graphic elements which should be regarded as copyright and requiring written permission before any potential onwards publication.
Please note that we anticipate several updates to the digital version - please always refer to the latest version. A limited run of printed annual reports will be published in summer 2021.
creative industries, #creativeinformatics, annual report, Creative Industries Clusters Programme, data driven innovation, Creative Informatics
creative industries, #creativeinformatics, annual report, Creative Industries Clusters Programme, data driven innovation, Creative Informatics
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 11 | |
| downloads | 35 |

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