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Minority Report

Mitigating Environmental Disruptive Events Using People-Centric Predictive Digital Technologies To Improve Disaster And Climate Resilience

Project Summary

Minority Report's mission is to leverage AI-driven predictive technologies to improve urban resilience against climate change and natural disasters. A consortium of 16 partners, led by IES R&D, will work together over 42 months to develop a comprehensive technology platform integrating:

1) Innovative predictive digital technologies

2) Rigorous models (3+) for risk (including vulnerability and uncertainty) assessment and categorisation

3) Advanced weather forecasting and early warning for climate events

4) BIM, digital twins, monitoring systems and Decision Support Systems

5) Energy simulations and behavioural models based on AI (including evacuation models)

6) Newly developed approaches from Social Sciences and Humanities (>20 co-creation events)

7) Deep renovation passports (3+, efficiently combining 10+ deep retrofit solutions)

The final objective is to deliver the Minority Report technology platform for a functionally, sustainable circular value chain for construction and renovation of built environments, for improved climate change mitigation (heat waves, category 5 storms, wildfire) and disaster resilience (floods, earthquakes, etc.), through unprecedented environmental targets of 70% Energy savings, 30% Carbon footprint reductions, 60% Environmental impact reduction. 

IES' Role

IES R&D's main role is coordinating the entire project while also leading the development of specialised modules to evaluate the impact of extreme disaster events and changing climate conditions on the built environment. Our team is creating simulation tools that will contribute to decarbonisation pathways and enhance disaster resilience. IES is also responsible for collecting market research and user feedback on tools, which will shape the development of the comprehensive toolkit being produced through the project. The integration of digital twins, BIM, and AI-driven behavioural models will create a powerful platform for predicting and mitigating environmental disasters.

Test Sites

  • Dublin, Ireland
  • Patras, Greece
  • Wellington, New Zealand