WP7

Climate Monitoring, Predictive AI and Artistic Creation

Research Line 3 · Art, AI and Material Futures

Lead researcher:
André Baltazar

Research units: CITAR ∙ CBQF

Overview

WP7 investigates the relationship between environment, technology, and heritage through the monitoring of environmental conditions and the application of artificial intelligence tools.

The work combines environmental data collection, predictive analysis, and contemporary artistic practices to better understand material degradation processes, support preventive conservation strategies, and explore new ways of artistically representing climate change.
Data are collected from prototypes and artworks developed in WP6, allowing for the analysis of the relationships between environmental conditions, materials, and degradation processes.

Environmental monitoring and heritage

One of the main areas of WP7 is the installation and use of environmental sensors to continuously collect data on temperature, humidity, air quality, and other factors that influence material degradation in outdoor environments.

The collected data are used to study patterns of biodeterioration in prototypes and artworks, contributing to a deeper understanding of the interactions between environment, materials, and heritage conservation.

Artificial Intelligence and Predictive Analysis

WP7 also explores the potential of artificial intelligence to identify patterns and relationships between environmental conditions and material degradation processes.

Through data analysis models and predictive systems, the project aims to support preventive conservation strategies by anticipating risks and adapting environmental conditions, while also developing new approaches for monitoring and interpreting environmental phenomena in heritage contexts.

Data, climate and artistic creation

In addition to scientific and technological research, WP7 includes an experimental dimension linked to contemporary artistic creation.

The environmental data collected and the artificial intelligence systems developed throughout the project will be used as raw material for the creation of artworks and exhibitions that explore the impacts of climate change and the relationships between environment, technology, and human perception.

By bringing together science, art, and environmental data, WP7 seeks to create new ways of engaging the public with climate and ecological issues.

Main objectives

  • Monitor environmental conditions related to material degradation;
  • Develop AI-based data analysis and predictive systems;
  • Study relationships between environment, heritage, and biodeterioration;
  • Support preventive conservation strategies;
  • Explore creative uses of environmental data and AI;
  • Promote dialogue between science, technology, and contemporary artistic practices.