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projects: details

in the "Culture/Cultural Heritage and Climate Change Knowledge Base" in the urban context

ART-RISK – Artificial Intelligence Applied to Preventive Conservation

Leader Institution: Pablo de Olavide University
Partners: University of Seville, Ministry of Economy, Industry and Competitiveness (Spain)
Country: Spain
Funding programme: ERDF - European Regional Development Fund

The ART-RISK Project “Artificial intelligence applied to the preventive conservation of heritage buildings” came about through the technical, social, and economic need to establish practical tool support for handling uncertainties in the conservation of cultural heritage. Its main objective was to design and validate models and free software, with input from interdisciplinary teams surveyed, using the DELPHI method to facilitate decision-making in risk assessment focused on the preventive conservation of cultural heritage. This project is fundamental in exploring paths to sound stewardship towards heritage resources increasingly threatened by environmental challenges resulting from climate change. The project presents an innovative approach to introduce Artificial Intelligence (AI) methods into a standardized and quality-controlled tool for risk analysis and decision-making in preventive conservation. The outcomes have included the development of three conservation and intervention decision-making models (ARTRISK 1, 2, and 3) and their application to various types of tangible heritage and in different contexts, both European (Spain, Portugal, United Kingdom, and Italy) and non-European (Chile, Colombia, Cuba, Peru, Guatemala, and Ethiopia). One of the models has been turned into free online software, called ART-RISK 3.0, which is helpful for the initial assessment of cultural heritage within urban management and town planning. It performs a multi-scenario vulnerability analysis using a prediction model based on fuzzy logic methods and Geographic Information Systems (GIS) to support treatment policies.

Goals:The main objective of the research project "Artificial intelligence applied to preventive conservation of heritage buildings" (Art-Risk) is to investigate and develop a new computerized tool for preventive conservation of heritage in urban centers based on artificial intelligence models. Furthermore, Art-Risk wants to be available to organizations and companies dedicated to restoration and rehabilitation. Developing this new method of vulnerability and risk analysis applied to Monuments implies meeting a multidisciplinary team specialized in the protection and conservation of Heritage in the project. Art-Risk team is researchers and professionals in the following fields of knowledge: Chemistry, Architecture, Archaeology, conservators, art history, geology, biology, mathematics, and computer science..
Website: www.upo.es/investiga/art-risk-service/art-risk3
Category: Loss&Damage
Keywords: Risk Management, Built Environment, Prevention, Monitoring of Climate Impacts, Data Collection