European Commission Directorate-General for International Partnerships (EuropeAid HQ)

Destination Earth Machine-Learning Demonstrators

Last update: May 27, 2025 Last update: May 27, 2025

Details

Location:Austria, Azores, Belgium, Bulgar ...
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Austria, Azores, Belgium, Bulgaria, Canary Islands, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Netherlands, Norway, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden
Category:Consulting services
Status:Open
Sectors:Environment & NRM, Monitoring & Evaluation, Information & Communication Technology
Languages:English
Eligibility:Organisation
Budget: EUR 1,000,000
Date posted: May 27, 2025

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Project cycle timeline

STAGES
EARLY INTELLIGENCE
PROCUREMENT
IMPLEMENTATION
Cancelled
Status
Programming
Formulation
Approval
Forecast
Open
Closed
Shortlisted
Awarded
Evaluation

Quick summary

AI generated
Objectives: The European Centre for Medium-Range Weather Forecasts (ECMWF) is calling for tenders to implement Machine-Learning (ML) based demonstrators as part of the Destination Earth initiative. This initiative aims to extend the applicability of DestinE capabilities by awarding three separate contracts, each dedicated to a distinct topic. The focus is on developing solutions for user groups in the domains of water resilience, food security, and climate adaptation across Europe. These demonstrators should offer significant improvements over existing systems, draw from a variety of data sources, and have the potential to evolve into full-fledged services in the future. The total budget allocation for this project is €1 million, divided across three lots, each with a maximum budget of €350,000.
Eligibility criteria: Eligible entities must operate within the European Economic Area (EEA) or in countries associated with the EU's Digital Europe Programme. The contract work should be performed on premises located in these re...

Description

Title: DE_391 Destination Earth Machine-Learning Demonstrators Internal identifier: DE_391
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