Social-Ecological Analysis and Models for Digital Twin Ocean

Social-Ecological Analysis and Models for Digital Twin Ocean

Acronym

SEADITO

Description of the granted funding

The EU Mission ‘Restore our Ocean and Waters’ (Mission Ocean) aims at protecting and restoring the health of our ocean and waters through research and innovation, citizen engagement, and blue investments by 2030. The creation of the European Digital Twin Ocean (EU DTO) supports this mission as well as the key initiative of the European Commission, Destination Earth (DestinE), aiming at developing a highly accurate digital model of the Earth on a global scale to be able to monitor, simulate, and predict the interaction between natural phenomena and human activities. Addressing the Horizon Europe call HORIZON-MISS-2023-OCEAN-01-8, SEADITO focuses on the need for a targeted set of analytical methods and tools to support the development of the EU DTO including integrating social-ecological models in order to establish a comprehensive decision support platform. SEADITO aims at increasing transdisciplinary abilities of social-ecological models by updating and integrating them for improved Ecosystem-based Management, and a set of case studies in the Baltic Sea, the North Sea and the Mediterranean as well a Pan-European case study will provide the contexts for the multi-actor processes identifying user needs, as well as co-designing and testing components and services in the targeted user communities. The results will include sets of interoperable, spatial explicit, and DTO compliant social-ecological decision-support components based on FAIR principles (e.g. to be integrated with EDITO-Model Lab), as well as scalable and multi-level social-ecological models, integrated quantitative and qualitative social-ecological indicators, and workflows quantifying and integrating cultural and behavioural aspects. The components will be tested through an interactive spatial platform, the SEADITO Explorer equipped with visual demonstrators of social-ecological models and a Scenario Toolkit (WIST). Learning materials will target young researchers, decision-makers, and the public.
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Starting year

2024

End year

2027

Granted funding

342 187.5 €
Participant
315 340 €
Participant
ASSOCIACIO GRUP D'ACCIO LOCAL PESQUER COSTA BRAVA GALP COSTA BRAVA (ES)
25 008.75 €
Participant
SINTEF AS (NO)
402 500 €
Participant
LEIBNIZ-INSTITUT FUR OSTSEEFORSCHUNG WARNEMUNDE STIFTUNG (DE)
340 250 €
Participant
LATVIJAS HIDROEKOLOGIJAS INSTITUTS (LV)
203 750 €
Participant
OSLO KOMMUNE (NO)
50 000 €
Participant
SINTEF OCEAN AS (NO)
265 125 €
Participant
Priority Actions Programme Regional Activity Centre (HR)
25 000 €
Participant
HELLENIC CENTRE FOR MARINE RESEARCH (EL)
310 000 €
Participant
UNIVERSITAT DE GIRONA (ES)
298 991.25 €
Participant
AALBORG UNIVERSITET (DK)
554 223.75 €
Coordinator
AGENCIA ESTATAL CONSEJO SUPERIOR DEINVESTIGACIONES CIENTIFICAS (ES)
299 962.5 €
Participant

Amount granted

3 467 339 €

Funder

European Union

Funding instrument

HORIZON Research and Innovation Actions

Framework programme

Horizon Europe (HORIZON)

Call

Programme part
Culture, creativity and inclusive society (11696)
Digital, Industry and Space (11704)
Climate, Energy and Mobility (11715)
Food, Bioeconomy Natural Resources, Agriculture and Environment (11725)
Topic
Integration of socio-ecological models into the Digital Twin Ocean (HORIZON-MISS-2023-OCEAN-01-08)
Call ID
HORIZON-MISS-2023-OCEAN-01

Other information

Funding decision number

101157243
Social-Ecological Analysis and Models for Digital Twin Ocean - Research.fi