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Cristina Duran Casablancas

PhD student, University College London

Project Title 

Preservation management modelling in archive and library collections 

Background & Summary of Project

Preservation management modelling in archive and library collections
This project explores modelling and simulation paradigms of complex systems, such as system dynamics (SD) and agent-based simulations (ABS), to evaluate the effect of preservation actions during the lifetime of collections. The aim is to develop a mathematical tool that supports memory institutions with the complex decision-making process of collections management, to optimize at least one of four competing outcomes—preservation, cost, sustainability, and accessibility. My experience as conservator working in an archive will be a valuable asset to the project.

Partners

Publications 

Cristina Duran-Casablancas, Matija Strlič, Gabriëlle Beentjes, Gerrit de Bruin, Jaap van der Burg & Josep Grau-Bové, A Comparison of Preservation Management Strategies for Paper Collections, Studies in Conservation 2020

Cristina Duran-Casablancas, Josep Grau-Bové, Tom Fearn and Matija Strlič, Accumulation of wear and tear in archival and library collections. Part I: exploring the concepts of reliability and epidemiology, Heritage Science 2019 7:10

Cristina Duran-Casablancas, Josep Grau-Bové, Tom Fearn and Matija Strlič, Accumulation of wear and tear in archival and library collections. Part II: an epidemiological study, Heritage Science 2019 7:11

Duran C, Grau-Bove J, Fearn T, Strlič M. Data mining in collections: from epidemiology to demography. Preprints 18th ICOM Committee for Conservation Triennial Conference, 4-8 September 2017, Copenhagen.