The project is co-financed within the IMPRESS-U programme. It is executed in cooperation with dra Rafaela Munoz-Carpeny team at Uniwersytetu of Florida, USA, dra Volodymyr Artemchuk team at G.E. Pukkov Institute for Modeling in Energy Engineering NAS in Ukraine, Prof. Mariusa Laurinaitis team at Michała Römera University in Lithuania and dr Andrii Chuba team from Technical University in Talin.

The project aims to validate the hypothesis that the recovery and resilience of systems under threats can be quantified via stress-testing of interconnected networks representing systemic their functions. The project will use the proposed Resilience-Recovery Under Attack (RRUA) framework to quantitatively explore distinct system response stages to diverse shocks. We employ a multi-faceted methodology combining network science, resilience analytics, explainable AI (xAI), and digital twin technologies. This integrated approach seeks to redefine systemic recovery modelling and adaptation of interconnected infrastructure across Ukraine, benefiting from the knowledge of our proposed international partnership in USA, Ukraine, Poland, Estonia, and Lithuania. This project will utilize a three-pronged approach: refining RRUA using data-rich analyses at DFW airport, testing it in Poland, Estonia and Lithuania testbeds, including human behaviour components of vulnerability, and jointly integrating RRUA within Ukraine's cyber and energy infrastructure systems in the presence of dynamic threats and variable data. Success could revolutionize Ukraine's prospects for recovery, positioning it as a global example for resilience strategies. Additionally, our project recognizes the imperative to connect Ukrainian scientists with Western colleagues as geopolitical tensions have isolated the nation's scientific community. It aims to unify Ukrainian scientists within an international research and response community, cultivating vast collaboration and knowledge-sharing.

The IITIS PAN team will focus on creating mathematical models and computer simulations to show how various systems, such as communication and energy networks, cope after major failures or disasters. The work of IITIS PAN within the project is financed by the NCN grant of 1,23 mln zł.