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MOSAIC

Multi-site application of Open Science in the creAtion of healthy environments Involving local Communities (MOSAIC)

The MOSAIC project’s main objective is to design and implement open, multimodal and replicable information ecosystems intended to help local and border communities to i) understand the impacts of environmental changes and degradations on their health and well-being ii) build a health-promoting environment, by participating in public debate and thus influencing public policies, and by deciding themselves what adaptation and mitigation actions
should be taken.

Période du projet :
-
Investigateur principal :

Emmanuel Roux

Membre(s) SESSTIM du projet :
Commanditaires :

Horizon Europe

Partenaires :

UMR ESPACE-DEV, IRD

Site Web dédié au projet :
https://www.espace-dev.fr/mosaic/
Thèmes :
Problématique:

The main question of the project is: how can open science, through a better integration of data and participatory sciences, empower citizens to understand the health and well-being consequences of ecosystem change and degradation and to address these consequences through adaptation and mitigation actions? 
Our proposal builds on the following hypothesis:
given that active community participation at each stage of the data cycle, from data collection to information and message dissemination, is implemented; and that all stakeholders (including local communities) share values associated with the data and knowledge production, dissemination and use (in terms of fair "retribution", integrity, ethics, FAIR principles, and autonomy), within the limits of the law; then, locally-exposed populations are best suited to interpret and exploit complex and multi-thematic information about their surroundings to identify and understand the impacts of environmental changes and degradation on their health and well-being and to develop locally feasible, acceptable, and sustainable adaptation and mitigation solutions.

Méthode :

The project plans to implement an actual Open science approach to address planetary health questions, by combining perspectives from participatory sciences, computer science, data science and modelling, geography, remote sensing, and eco-epidemiology. It considers participatory approaches, and computer and data sciences in all activities and from the very beginning. It does not plan to perform specific large-scale data collection on the field by researchers, but focuses on 1) the remobilisation of existing data, produced by research works and operational surveillance and monitoring systems; 2) the involvement of the local stakeholders in all the data cycle, from collection to decision making, and in an integrated and territorialized monitoring perspective.

Resultats:

Engagement of all stakeholders, especially exposed local populations, in the production of data, methods and knowledge related to environmental impacts on health
Multi-modal and multi-user open platform (information ecosystem) gathering heterogeneous resource deposit, retrieval, access, analysis and visualisation tools, as well as process simulation modules, specifically designed to address Planetary health issues
Interoperability of the data infrastructures and systems dedicated to surveillance of human, animal, and ecosystem health, especially in cross-border areas 
Communication and educational strategies are adapted to local contexts and stakeholders, and evaluated to produce targeted, high effective recommendations and guidelines
The identification of potential disease pathways based on the nature of human animal contact and social demographic factors

HORIZON-HLTH-2023-ENVHLTH-02-01 (Programmme Européen Horizon - Environment and health