At the ADAPTI-M kick-off event on March 5 and 6, all scientists from the 11 participating institutions came together for the first time in Halle (Saale) to get the BMFTR-funded modeling project off to a successful start.
ADAPTI-M stands for “Next Generation Modeling: Adaptive System for Public Health Decision Support in Respiratory Infection Pandemics” and is part of the Modeling Network for Major Infectious Diseases (MONID) in the second funding phase.
The aim of the project is the technical and organizational further development of the German Epidemic Microsimulation System (GEMS), which was developed in the OptimAgent project of the first MONID funding phase, into a next-generation modelling approach. GEMS is an agent-based model for simulating respiratory infections, which maps the German population with geo-referencing and enables the evaluation of non-pharmaceutical interventions (NPI). In the ADAPTI-M project, droplet and aerosol transmission, complex mobility, adherence behaviour and new virus variants are integrated, calibration with reinforcement learning and surrogate models is to be automated and the development and optimization of NPI strategies supported by generative AI. A decision framework developed together with decision-makers will ensure practical application and the approach will be evaluated through stress tests and use cases.
The main focus of the kick-off event was on getting to know each other, presenting the five sub-projects and their work packages in detail and identifying common interfaces within the project.
The following institutions are working together on the successful implementation of the ADAPTI-M project: Martin Luther University Halle-Wittenberg, University of Leipzig, University of Münster, Robert Koch Institute, University of Rostock, University of Lübeck, Friedrich Schiller University Jena, University of Trier, UMC Utrecht, Technical University of Wrocław, Tyrolean private university UMIT TIROL.
You can find more information and photos on our website and here.
©Tetiana_Bilous/MONID