4.10b How can big data and AI be used to improve measurement and valuation methodology in the cultural sector?
Background
DCMS’s Culture and Heritage Capital programme has made significant advances in developing rigorous and robust methods for valuing the benefits of culture and heritage. This work provides a core methodological foundation for DCMS’s wider appraisal, evaluation and evidence development, and we welcome research that helps strengthen its practical application across different policy and place contexts. Further research is required to improve current valuation methods and develop and integrate new methodological approaches to measurement and monetisation. This includes how we can embrace developments in AI and big data to improve our analytical capabilities, and how to build capacity across the cultural sector to understand and implement our analysis more effectively.
Next steps
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Topics
Research fields
Related UKRI funded projects
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Scoping Culture and Heritage Capital Research
This project responds to the ambition set by the DCMS Culture and Heritage Capital (CHC) Programme to develop a systematic approach through which culture and heritage can be valued. Delivered by a multidisciplinary team ...
Funded by: AHRC
Lead research organisation: University of the Arts London
Why might this be relevant?
This project specifically focuses on developing valuation methods for culture and heritage assets, including consideration of digital assets and heritage sites.
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The Economic Value of Cultural Institutions - a benefit transfer study
Measuring the economic value of cultural sites and institutions poses challenges. Traditional economic impact studies have tended to value the market benefits of culture, such as the impacts on employment and gross value...
Funded by: AHRC
Lead research organisation: NESTA
Why might this be relevant?
While this project focuses on valuing cultural institutions, it does not specifically address the use of big data and AI in improving measurement and valuation methodology.
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Triangulation of values using different valuation methods - CAVEAT
CAVEAT will identify and mitigate the caveats associated with current valuation methods when applied to culture and heritage capital to inform decision making. CAVEAT will explore how to best triangulate existing valuati...
Funded by: AHRC
Lead research organisation: University of Glasgow
Why might this be relevant?
This project explores different valuation methods for cultural heritage assets, but does not directly address the use of big data and AI in improving measurement and valuation methodology.