PEAT-GENIE – Simulating Management Decisions using Peatland Digital Twins and Generative AI Note

Project sheet

CALL FOR PROPOSALS: HORIZON-INFRA-2025-01-TECH-03 Type of Action: HORIZON Research and Innovation Action (RIA)

TITLE: Simulating Management Decisions with Peatland Digital Twins and Generative AI (acronym PEAT-GENIE); Grant Agreement No. 101287905

DURATION: 4 years from 1 September 2026 to 30 August 2030

PRINCIPAL INVESTIGATOR: Prof. Marco RIANI

COORDINATOR: Geological Survey of Finland (GTK), Finland

SDG (Sustainable Development Goals) OBJECTIVE: Goal 13: Climate action

WEBSITE: https://peatgenie.eu/

TOTAL BUDGET: €8,819,099.35

PARMA UNIT BUDGET: €444,000.00

UNIPR DEPARTMENTS INVOLVED:

Department of Economics and Management (DSEA),
Department of Industrial Engineering Systems and Technologies (DISTI)

WP3 LEADER (Data Harmonisation and Pre-Processing): Prof. Luigi Grossi

Brief description

PEAT-GENIE is a European research and innovation project that aims to develop advanced digital tools to improve our understanding, management and conservation of peatlands – ecosystems that are vital for biodiversity and climate regulation.

By integrating generative artificial intelligence, digital twins and environmental data, the project will create a platform capable of simulating various land-management scenarios and assessing their potential effects on water resources, greenhouse gas emissions, biodiversity and land use.

Thanks to intuitive, multilingual interfaces, even non-specialist users will be able to query the environmental models, compare alternative solutions and access useful information to make informed decisions.

The platform will be trialled at pilot sites in four European countries, with the aim of promoting ecosystem restoration, adaptation to climate change and more sustainable environmental management. The solutions developed will be designed to be reusable in other environmental contexts as well, helping to make scientific research and digital technologies more accessible to institutions, researchers and local communities.

The University of Parma plays a central role in the project, coordinating the integration, harmonisation and preparation of environmental data, with a particular focus on the use of advanced statistical methodologies to ensure its quality and reliability, in support of the development of artificial intelligence models.