The MePreCiSa Project and the H2020 CREXDATA project have signed a Memorandum of Understanding (MoU) to express the intention to enable collaboration between the two projects in terms of urban health and big data integration.

The MePreCiSa Project (Precision Medicine for Healthy Cities), coordinated by the Barcelona Supercomputing Center (BSC), aims to develop an open-source, cloud-based platform for conducting integrated health impact assessments in urban environments. By leveraging big data technologies, the project analyses diverse sources—including healthcare records, environmental data, and urban infrastructure. A key innovation of MePreCiSa is the use of anonymized mobility data from mobile phones to generate dynamic indicators of population exposure and health risk. This enables more timely, spatially aware public health interventions and supports data-driven decision-making in urban planning and policy.

The H2020 CREXDATA Project (Critical Action Planning over Extreme-Scale Data) is developing an advanced “Prediction-as-a-Service” (PaaS) platform designed to support real-time decision-making in critical situations. This platform aims to empower authorities and emergency responders with the tools to anticipate and manage unfolding emergencies through the use of cutting-edge forecasting techniques, simulations, and advanced visualization analytics. Coordinated by the Technical University of Crete, CREXDATA brings together a consortium of 16 partners from across Europe, including research institutions, technology providers, and emergency management stakeholders. The platform is being validated through three key use cases: maritime crisis management, weather emergency response, and pandemic outbreak management.

In this framework, the CREXDATA Health Crisis use case is facing many similar challenges with the MePreCiSa Project. For this reason, both projects agreed to sign a declaration of intent. The scope of this collaboration encompasses several areas and may also involve joint research in the development of predictive models to explore the impact of urban mobility and environmental factors on public health. This MoU seeks to foster innovation in urban health by using big data techniques, particularly in population mobility analysis and public health risk assessment.

Marking the announcement, Principal Investigator of MePreCiSa Dr. Miguel Ponce-de-León said: “This agreement will allow us to maintain a close relationship between both projects and continue moving forward, sharing the knowledge we’ve acquired to enhance the quality of our use cases”.

The Coordinator of CREXDATA Prof. Antonis Deligiannakis added: “This collaboration represents a valuable opportunity to align and strengthen our approaches to predictive modelling and real-time analytics. By working together with MePreCiSa, we can share data, insights, and methodologies to accelerate innovation in data-driven public health strategies that are robust, explainable, and responsive to urban challenges”.

This MoU entered into force on May 22, 2025, and shall remain in force for a period of one year, which may be extended for another period of one year if expressly agreed by the two parts.

The MePreCiSa Project is a research project from the UNICO I+D Cloud programme, funded by the Ministry for Digital Transformation and the Civil Service and by the European Union – NextGenerationEU, within the framework of the PRTR and the MRR.

The H2020 CREXDATA project has received funding from the European Union’s Horizon Europe programme under Grant Agreement number 101092749.