Invitation to Tender: “EO-INFORMED AGENT BASED MODELS FOR DIGITAL TWINS APPLICATIONS”

The aim of this initiative is two-fold.

Firstly, it seeks to pioneer the development and validation of methods for effectively merging and integrating Earth Observation (EO) datasets, such as time series data, with (Multi Level) Agent-Based Models (ML-ABMs). These models will be focused on priority socio-economic processes.

Secondly, it offers an opportunity to explore how the intricate landscape of polycentric and multi-level decision-making can benefit from the timely and reliable information provided by remote sensing.

This information will be integrated into spatio-temporal processes, allowing for the modeling of past behaviors and the simulation/prediction of future scenarios. These capabilities will, in turn, support stakeholder deliberations and decision-making processes, particularly in the context of EU sector policies, with a strong alignment with the objectives of the Green Deal.

Learn more about this Invitation To Tender on the esa-star Publication page.

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