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Creative Informatics: Data Driven Innovation for the Creative Industries
Rovatsos, Michael
(Principal Investigator)
School of Informatics
Data Science and Artificial Intelligence
Overview
Fingerprint
Research output
(1)
Project Details
Status
Finished
Effective start/end date
1/10/18
→
28/04/23
Funding
AHRC:
£211,838.00
View all
View less
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Cultural Heritage
Social Sciences
100%
Resource Economics
Economics, Econometrics and Finance
100%
Specific Industry
Economics, Econometrics and Finance
100%
Economic Resources
Social Sciences
50%
Cultural Industry
Social Sciences
50%
Creative Industry
Social Sciences
50%
Economic Growth
Social Sciences
50%
Museum
Social Sciences
50%
Research output
Research output per year
2021
2021
2021
1
Article
Research output per year
Research output per year
The value of mass-digitised cultural heritage content in creative contexts
Terras, M.
, Coleman, S., Drost, S.,
Elsden, C.
, Helgason, I.,
Lechelt, S.
,
Osborne, N.
,
Panneels, I.
, Pegado, B.,
Schafer, B.
, Smyth, M.,
Thornton, P.
& Speed, C.,
6 Apr 2021
, (E-pub ahead of print)
In:
Big Data and Society.
8
,
1
,
15 p.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
Cultural Heritage
100%
Specific Industry
100%
Resource Economics
100%
Cultural Industry
50%
Creative Industry
50%