Yun Liu

Online Collections Modelling Tool

Partners: University College London, Smithsonian Museum Conservation Institute, The National Archives,Lichtblau e.K.

The Project:

This research project will develop an online platform to model and examine heritage management scenarios. This will offer an opportunity for interaction, creation, communication, and sharing of knowledge, bringing significant potential benefits to the public, the practitioners, and the experts and academics in heritage science and conservation. On a practical level, it will allow the analysis and interpretation of environmental and material survey data by heritage institutions, and might lead to the development of a commercially marketable tool. Moreover, the interdisciplinary approach will largely expand the understanding of the preservation needs that specific heritage collections have while simultaneously achieving greater sustainability and improving the overall quality of the conservation environment.

The innovative collections management platform will enable visualization and examination of various environmental and access management scenarios, as well as the evaluation of probable outcomes of preventive conservation approaches. In the process of development, three research questions will be addressed: (i) what decision making tools are required by the conservation community in support of environmental management decision making? (ii) Can an online software platform be developed on the basis of existing computational collection model(s), enabling users to interactively upload, visualize, and examine data? (iii) Can case studies be developed promoting the development of environmental guidelines and development of new knowledge and research? To answer these questions, an exciting range of research and development methods will be used, from coding and software development, computational analysis and mathematical modelling, to user engagement using quantitative survey methods, in order to synthesize the relationships between the environment, collection material properties and user attitudes towards collections. Computational modelling will be used as a key tool for an excellent understanding of preventive conservation.

Yun Liu_PhotoAbout Yun:
Yun Liu received her BA in architecture from Tsinghua University (Beijing, China) in 2011 and MSc in Historic Preservation from the University of Pennsylvania (Philadelphia, US) in 2013. She successfully completed a post-graduate fellowship at the Smithsonian’s Museum Conservation Institute (Washington D.C., US) working on environmental monitoring and data analysis for collections under the supervision of Dr A. Elena Charola from 2013 to 2014. Her interest in heritage science is in the characterization of heritage materials in relation to environmental conditions. Her MSc thesis, “Effect of the Brownstone Moisture Content at Application Time of a Water Repellent Treatment”, discussed the hygric moisture adsorption and the consequent linear expansion behaviour of the clay-bearing sandstone when treated with water repellent agents of different formulations at different moisture contents. It was presented at the 7th International Conference on Water Repellent Treatment and Protective Surface Technology for Building Materials in Lisbon, September 11-12, 2014.

Centre for Doctoral Training in Science and Engineering in Arts Heritage and Archaeology