AI & Interoperable Simulation for Pandemics and Crisis Management

  • Agostino G. Bruzzone 
  • Bharath Gadupuri, 
  • Wolfhard Schmidt, 
  • Orlin Nikolov, 
  • Marina Massei, 
  • Paolo di Bella, 
  • Massimo Pedemonte
  • a,b,f,g  Simulation Team, 16145, Genova, Italy
  • Ewwol Solutions Ltd, Ulica Marii Konopnickiej 47, 86-032 Niemcz, Poland (d)NATO CMDR COE, 34A Totleben Blvd, 1606 Sofia, Bulgaria.
  • Simulation Team, SIM4Future, via Trento 43, 16145 Genova, Italy
Cite as
Bruzzone A.G., Gadupuri B., Schmidt W., Nikolov O., Massei M., di Bella P., Pedemonte M. (2021). AI & Interoperable Simulation for Pandemics and Crisis Management. Proceedings of the 11th International Defence and Homeland Security Simulation Worskhop (DHSS 2021), pp. 70-76. DOI:
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The adoption of Strategic Engineering as combined use of Artificial Intelligence, Simulation and Data Analytics to support decision making has a great potential in dealing with Pandemics due to their complexity and the impact of VUCA (Volatility, Uncertainty, Complexity & Ambiguity) on them. From this point of view using advanced paradigms such as MS2G and adopting interoperability standards is a major enabler to guarantee their effectiveness in dealing with these problems; this paper represents an introductory work on a joint research devoted to finalize experimentation and test to develop this new capability within Research Centers for supporting the Society during pandemics


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