Objective
FLAMR tackles the global health threat of antimicrobial resistance (AMR) by developing and validating a next-generation, federated reinforcement learning (FRL) system for near real-time surveillance calibrated for ESKAPEE+ pathogens. The project integrates human, veterinary, and environmental AMR datasets, being the first to combine FRL with multimodal diagnostics and community-based governance for AMR surveillance, particularly useful in resource-constrained settings. Its objectives are to (1) develop, deploy, and validate a privacy-by-design FRL architecture for AMR data integration across ≥12 labs in Estonia, Romania, Colombia, and Sri Lanka; (2) strengthen diagnostic capacities for bacteriological and metagenomic surveillance through the examination and sequencing of >400 field samples and the characterization of phage-based alternatives; and (3) co-develop AMR stewardship, governance, and education toolkits to empower local communities and authorities.
FLAMR combines advanced AI, metagenomics, and bioinformatics with social science and participatory governance to test whether FRL can outperform conventional surveillance pipelines in accuracy, interpretability, and inclusiveness. Technical leaders design and deploy the FRL architecture and analytical tools, while field and laboratory partners generate and validate AMR datasets under real-world conditions. Governance and SSH partners ensure ethical alignment, cultural adaptation, and social uptake. A core innovation of FLAMR is its transparency-by-design, bidirectional community-driven framework, where centralized data informs stewardship and policy intervention through interactive dashboards and geolocated visualizations. Aligned with the Horizon Europe Health Cluster and the EU One Health Action Plan on AMR, FLAMR embodies open science and interdisciplinary capacity-building, creating scalable, equitable pathways to global AMR resilience and long-term EU leadership in responsible One Health AI innovation.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- social sciences sociology governance
- natural sciences computer and information sciences artificial intelligence machine learning reinforcement learning
- medical and health sciences basic medicine pharmacology and pharmacy drug resistance antibiotic resistance
You need to log in or register to use this function
Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
-
HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
See all projects funded under this programme
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-TMA-MSCA-SE - HORIZON TMA MSCA Staff Exchanges
See all projects funded under this funding scheme
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-MSCA-2025-SE-01
See all projects funded under this callCoordinator
Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
51014 Tartu
Estonia
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.