RT Journal Article
T1 Counting is not Enough. Modelling Relevance in Art Exhibition Ecosystems
A1 Rodríguez-Ortega, Nuria
A1 Suárez, Juan Luis
A1 Varona, Daniel
K1 Humanidades digitales
K1 Modelos matemáticos
K1 Arte - Exposiciones
AB The authors present a conceptual and mathematical model for an art institution relevance index that quantifies the institution’s ability to manage and leverage its loan relationships with other art institutions, art collectors, and curators. The propose that their model innovates on prior methods descriptions of institution relevance based on the depth or size of an institution’s collections, byintroducing a more complex combination of the institution’s ability to manage the type, frequency and range of lending and borrowing practices. Their mixed methods approach is based on combining traditional methods of art history that have relied on subjective accounts of an institution’s collection value with a more formalized methodological approach to quantifying what was once a discourse of practice. The show that a limitation in traditional approaches to evaluating institutional impact relied on subjective interpretation and is not scalable and therefore cannot account for the importance of the global art exhibition ecosystems.
YR 2020
FD 2020-09-22
LK https://hdl.handle.net/10630/28549
UL https://hdl.handle.net/10630/28549
LA eng
NO Rodríguez Ortega, Nuria, Suárez, Juan-Luis, y Varona, Daniel. «Counting is not Enough. Modelling Relevance in Art Exhibition Ecosystems» Curator. The Museum Journal, vol. 63, issue 4 (October), pp. 637-653, 2020. First published: 22 September 2020 (posprint)
NO Canada’s Social Sciences and Humanities Research Council Ministry of Economy and Competitiveness (Spain) under the grant number HAR2014-51915-PCentro de Estudios Andaluces (Junta de Andalucía) under the grant number PRY128-17
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 19 ene 2026