SciTransfer
RescueME · Project

AI and Data Tools to Protect Coastal Heritage Sites from Climate Risks

environmentTestedTRL 5

Imagine a digital shield for old cities and coastal landmarks. It uses crowdsourced data and AI to predict how rising seas or pollution might damage a place. Then, it helps locals and experts pick the best way to save these sites without spending money on solutions that don't work.

By the numbers
3,998,994
EU Contribution in EUR
17
Total partners
5
Coastal case study laboratories
The business problem

What needed solving

Climate change and pollution are destroying coastal heritage sites, which hurts local economies and tourism. Current conservation methods often lack the data needed to make cost-effective, sustainable decisions.

The solution

What was built

A data-driven decision support system and an Atlas of European coastal heritage landscapes mapping climate impacts.

Audience

Who needs this

Coastal city plannersHeritage conservation firmsSustainable tourism operatorsEnvironmental risk consultants
Business applications

Who can put this to work

Tourism
mid-size
Target: Regional Tourism Board

If you are a regional tourism board dealing with the loss of historic coastal attractions due to climate change — this project developed a data platform and an Atlas of impacts that helps you quantify the economic value of heritage to justify investment in protection.

Urban Planning
enterprise
Target: Coastal Engineering Firm

If you are a coastal engineering firm dealing with complex site requirements in historic zones — this project developed a decision support system with a repository of previous solutions and their carbon footprints to help you pick the most sustainable build.

Software
SME
Target: Civic Tech Startup

If you are a civic tech startup dealing with low citizen engagement in urban planning — this project developed crowdsourcing techniques and Agent-Based Modeling to bring local communities into the design of resilience strategies.

Frequently asked

Quick answers

What is the cost or price of the tools developed?

Based on available project data, no specific pricing or commercial costs for the tools are mentioned; the project is funded by an EU contribution of EUR 3,998,994.

Can these solutions be scaled to an industrial level?

Yes, the project uses 5 specific coastal case studies as laboratories to ensure the results are replicable across other European coastal landscapes.

What are the IP and licensing terms for the data platform?

Based on available project data, specific licensing terms are not provided, but the project focuses on co-production and a 'one-stop-shop' for information transfer.

How does this integrate with existing city management software?

The project builds a dynamic decision support system and a meta-repository of solutions, which are designed to facilitate evidence-based decision-making.

What is the timeline for deployment?

The project runs from 2023-02-01 to 2026-07-31, with specific deliverables like the Atlas of impacts produced at month 12.

Consortium

Who built it

The consortium is diverse with 17 partners across 7 countries, showing a strong cross-border application. With a 24% industry ratio (4 industrial partners and 5 SMEs), there is a significant commercial interest in the outputs, balancing the academic weight of 3 universities and 4 research centers.

How to reach the team

Contact FUNDACION TECNALIA RESEARCH & INNOVATION in Spain

Next steps

Talk to the team behind this work.

Contact us to explore the decision support system for coastal heritage.

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