Three Key Questions on Culture, Cultural Heritage and Climate Change

53 PROJECTS’ SELECTION upo.es/investiga/art-risk-en/index.html Training developed in La Habana, Cuba [TEP199 Heritage Environment and Technology (photo: TEP199 Heritage Environment and Technology)] Art-Risk Artificial Intelligence Applied to Preventive Conservation of Heritage Buildings Project Leader: Pablo de Olavide University Time Duration: no date available Countries Involved: Chile, Colombia, Cuba, Ethiopia, Guatemala, Italy, Peru, Portugal, Spain, United Kingdom Keywords: Built Environment, Data Collection, Monitoring of Climate Impacts, Prevention, Risk Management Description The Art-Risk Project, Artificial Intelligence Applied to the Preventive Conservation of Heritage Buildings, comes about through the technical, social, and economic need to establish an effective support tool for handling uncertainties in the conservation of cultural heritage. Its main objective is to design and validate models and free software to investigate and develop a new computerised tool for the preventive conservation of heritage in urban centres, based on artificial intelligence models. The predictive model at the basis of the development of the tool for the first time includes a multi-scenario study, assessing environmental risks, climate change, the use level of buildings and structural risks together with historical data from monuments life. Two types of monuments (very common in Spain) are studied: churches and walls/bastions. The validation of these two model types is performed by a blinded inter-laboratory diagnostic exercise in order to establish whether the prediction approaches the decision of separated workgroups. The expected result is a new artificial intelligence programme that enables users to reproduce human reasoning to study relations between vulnerability factors, risk factors and the historical parameters of the monument. Output The project has produced the Art Risk Models (ARTRISK 1, 2, and 3) and their application to various types of tangible heritage 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, ART-RISK 3.0, useful 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).

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