As Simulation Team, Liophant, and STRATEGOS, we propose Models and Solutions developed over years on Pandemics and CBRNe based on Strategic Engineering combining Modeling, Simulation, AI and Data Analytics in closed loop to support Decision Making, Risk Analysis, Capability Assessment, Operational Planning, Operative Support, Education & Training.
Our Team is working hard to face the challenge provided by covid-19 and we are available to collaborate with partners to fight:

Per Aspera ad Astra

It will be a very hard and long fight, but thanks to Human Spirit, People Bravery & Scientific Support, at the end, we will prevail.

STRATEGOS is organizing Webinars addressing the covid-19 pandemic crisis please click here for details on past and future events and write to info.strategos@diten.unige.it to join. Please click here for seeing the schedule of next Webinars

Please take a look on the Video Pills on Pandemics by click here

Visit also Workshops and Webinars Web Site, Courses and STRATEGOS Media Library



Point of Contact:Agostino Bruzzone, Simulation Team, SIM4Future & Genoa University, agostino @ simulationteam.com
VESTIGE
Virus Epidemics Simulation in Towns & Regions for Infection Governance during Emergencies
Year 2020
Italy in Joint Cooperation with other Countries
The proposed Technological Solution is applied to Pandemics and it based on the innovative Strategic Engineering to address pandemics, the proposed approach integrates Simulation, Artificial Intelligence and Data Analytics in closed loop to support decisions based on scenario evolution and human behavior and population modeling. The current approach has been already demonstrated in relevance to Smart Government and several applications, including PONTUS & Decision Theatre, have been already employed in Operations and Strategic Planning as part of Smart City Project. Therefore, the conceptual models and simulation experimentations on pandemics have been carried out by Scientists of Genoa University and Senior Partners of SIM4Future since over 10 years with specific attention to Pandemics, Epidemics and CBRN (Chemical, Biological, Radiological and Nuclear). The very innovative aspect of this solution relies on its capability to reproduce human behavior of population and interest groups, coupled by Intelligent Agents and reproducing individuals & social networks considering Age, Gender, Health Status, Social level, Education, Ethnics, Religion, Political Preferences and other attributes, including psychological modifiers (e.g. fear, stress, fatigue, aggressiveness). By this approach it turns possible to evaluate different courses of Actions and to keep forecasts about effectiveness of applied measures aligned with data collected on field and media.



POC: Agostino Bruzzone, Simulation Team, SIM4Future & Genoa University, agostino @ simulationteam.com
TOPRO
Town Protection against contaminations
Years 2020
Italy in Joint Cooperation with Other Countries
TOPRO is devoted to support the operations related to protecting a Town or a Region during a epidemics and contamination crisis. The System reproduce People Behaviors, Units and Entities as well as activities related to Protection, Cordoning of Areas and Cities to protect them from Contaminations and Epidemics as well as planning of decontaminations and treatments and resource allocation. Entities include law enforcements, military units, health care resources, sensor networks, social media info. TOPRO allows to Identify the Critical Areas and Part of a Town at Risk, as well key points and sectors to control in case of detection of infected people and it provides support for tracking them. TOPRO is a Decision Support System able to be used for training, education as well as operational planning and operation support, Check Points Organizer and Management Tool during Pandemics and CBRN crises. TOPRO aims to support also training and operational planning for isolation and containment of epidemics



POC: Agostino Bruzzone, Simulation Team, Genoa University & SIM4Future, agostino @ simulationteam.com
T-REX
Threat network simulation for REactive eXperience
Years 2014-2020
Italy and Cooperation with Other Countries and in NATO
T-REX (Threat network simulation for REactive eXperience) is a MS2G (Modeling, interoperable Simulation & Serious Game) devoted to reproduce Hybrid Warfare and to be federated with other elements to evaluate the impact of these actions. T-REX reproduces urban, as well as extra urban contexts over multiple domains including land, air, sea, space and cyberspace. The models allows to consider media communications and possibility to use different assets and to experiment virtually the different decisions in terms of COAs (Courses of Actions) The T-REX was presented and demonstrated during NATO MSG ET-43 "Hybrid Warfare Simulation"



Agostino Bruzzone, Simulation Team, Genoa University and SIM4Future , agostino @ simulationteam.com
PANDORA
PANdemic Dynamic Objects Reactive Agents
Joint Cooperation Simulation Team, Genoa University Italy, CRiCS Charles Sturt University Australia, Dartmouth College, NH USA
Australia, Europe, North America
Year 2010
PANDORA addresses the dynamics of the spreading of a Pandemic and experiments are on-going on H1N1 influenza A virus by a joint simulation project involving USA, European and Australian R&D Centers (MISS DIPTEM, Dartmouth College, CRiCS). PANDORA proposes to use an evidence-based approach whereby statistical data (census) and ethnographic surveys are source for the model and integrated with Human Factors representing the psychological and social parameters impact on people behaviors and their reaction to containment measures and policies. PANDORA evaluates the efficacy and cost benefit of various mitigation strategies such as school closures, target anti-viral prophylaxis and other mitigation measures, level of absenteeism, and its impact on commerce, industry, economy and functioning of society as well as population attack rate, risks related to specific groups and on flows across State borders.



POC: Agostino Bruzzone, Simulation Team, SIM4Future & Genoa University, agostino @ simulationteam.com
MINOTAUR
Multipurpose Industrial New Operator & Transport system based on Autonomous Unmanned Robot
Years 2020
Italy and Cooperation with France, Czech Rep., USA
MINOTAUR represents an innovative concept of UGV (Unmanned Ground Vehicle) derived from the experiences made by different partners in Industry and in the Defense and Homeland Security sector also thanks to common contacts in NATO and MESAS Initiative. The partnership involves DIME, SIM4Future Spin Off UNIGE, Prolexia (French Company) as well as University of Defense (Czech Republic), Dartmouth College for the development of innovative Autonomous Vehicles and Robotic Systems that combine arm robots, sensors, speakers and microphones for indoor industrial use / outdoor, operations and inspections in risk areas, reducing staff exposure. There are different configurations of MINOTAUR, on wheels and on tracks that have been made for different purposes (e.g. asbestos removal) and that can be quickly customized thanks to the digital twin built that allow simulating their operation. In the current case, it is assumed to take an adequate configuration to move in the wards of hospitals or areas where infected patients are housed and use MINOTAUR to keep medical personnel at a distance and interact and monitor both them and supervise the equipment/equipment through the arm/camera and various sensors. MINOTAUR is currently conducting tests to perform cleaning operations that could be adapted to act as cleaning of infected areas and/or decontamination. It would also be possible to use it to provide doctors with support also for interventions on infected patients outside the hospital and at home. It could also be used at check points or in support of first responders.



POC: Agostino Bruzzone, Simulation Team, Genoa University & SIM4Future, agostino @ simulationteam.com
CIPROS VIS
Simulation Team Civil Protection Simulator - Virtual Interoperable Simulation
Italy & Other European Countries
Year 2014-2018
CIPROS (Simulation Team Civil Protection Simulator) VIS (Virtual Interoperable Commander)
is a MS2G (Modeling, interoperable Simulation and Serious Game) project for supporting Commander and Staff in addressing a Crisis within a Civil Protection Scenario. ST_CIPROS provides an HLA interoperable immersive framework for the supporting critical decision making over a complex situation respect different kinds of crisis (e.g. flooding, hazardous material spill, CBRN, fires). ST_CIPROS includes models of Population and Human Behaviors developed by Simulation Team based on IA-CGF. ST_CIPROS supports training and operates in multiple modes from stand alone to federated in HLA with other simulators. The system is integrated with CRISOM Simulator and it has been demonstrated in NATO MSG-147 "Support to Crisis Disaster Management Processes and Climate Change Implications"



POC: Agostino Bruzzone, Simulation Team, Genoa University & SIM4Future, agostino @ simulationteam.com
ST_CRISOM
Simulation Team Crisis Simulation, Organization and Management
Italy & Other European Countries
Year 2014-2018
ST_CRISOM (Simulation Team Crisis Simulation, Organization and Management) reproduces the dynamics of a complex scenario where a crisis evolves. CRISOM considers the human behavior of the population in terms of evacuations, reactions due to the emergency as well as to human factors such as fear, stress, fatigue and aggressiveness. CRISOM uses the IA-CGF (Intelligent Agent Computer Generated Forces) to reproduce both civilian Populations as well as First Responders and Military units, Health Care, Civil Protection Agents & Public Infrastructures. CRISOM acts as a NCF (Non Conventional Framework) for IA-CGF and allows to reproduce Flooding Scenario over regional areas and impact on Town, Industrial Facilities and Critical Infrastructures. CRISOM could be federated in HLA with other Simulators. The system is integrated with CRISOM Simulator and it has been demonstrated in NATO MSG-147 "Support to Crisis Disaster Management Processes and Climate Change Implications"



POC: Agostino Bruzzone, Simulation Team, SIM4Future & Genoa University, agostino @ simulationteam.com
PONTUS
POpulation behavior, social Networks, Transportation, infrastructures and industrial Urban Simulation
Year 2014-2020
Italy
PONTUS supports decision makers in the management of critical events such through simulation and different models addressing Population behavior, social networks, transport and urban simulation PONTUS operates based on concept MSaaS (Modeling & Simulation as a Service) and it adopts the MS2G Paradigm (Modeling, interoperable Simulation and Serious Games) by using Intelligent Agents to reproduce behavior of individuals as well as social networks. PONTUS supports Strategic Planning, Operational Planning and Simulation of Operational Activities, emergencies and containment measures, crisis management, development of decision support systems. It has been applied to cases dealing with Urban Strategic Planning, Crisis Management due to Floods as well as CBRN Threats and Hazardous Material Spills in Air and Rivers.



POC: Agostino Bruzzone, Simulation Team, Genoa University & SIM4Future, agostino @ simulationteam.com
Alacres2
Advanced Laboratory for Crisis and Emergencies in Ports and marine domain developed by Simulation within a common collaborative Space
Interreg Maritime 2020, Italy & France, High Tyrrhenum
Years 2019-2021
The aim of the ALACRES2 Project is to to activate a Permanent Virtual Laboratory able to identify, test and validate integrated emergency management procedures in the case of accidents, crises or significant accidents occurring during the loading and unloading of goods and dangerous substances The threats include explosions, CBRN and joint crisis going across Ports, Cruise Ship Terminals, Cargo Activities, Transportations, Industrial and Urban Areas and including Media and Cyber Layers



Scientific References:
Amico Vince, Bruzzone A.G., Guha R. (2000) "Critical Issues in Simulation", Proceedings of Summer Computer Simulation Conference, Vancouver, July
Avalle L, A.G. Bruzzone, F. Copello, A. Guerci, P.Bartoletti (1999) "Epidemic Diffusion Simulation Relative to Movements of a Population that Acts on the Territory: Bio-Dynamic Comments and Evaluations", Proceedings of WMC99, San Francisco, January
Avalle L.,Bruzzone A.G., Copello F., Guerci A. (1997) "Modello informativo di Simulazione relativo ad una Popolazione che opera sul territorio sottoposta a contagio di epidemia" Proc. of the XII Congresso Ass. Antropol. Ital, Palermo, Italy, 16-20 September
Avalle L., Bruzzone A.G., Copello F., Guerci A. (1996) "Determination and Quantification of Functional Parameters Relative to Contamination Vector Logic in an Epidemic Simulation", Proceedings of ESS'96, Genoa, October 24-26, Italy
Avalle L., Bruzzone A.G., Copello F., Guerci A. & A.Scavotti (1995) "Preliminary Analysis for the Creation of a Territorial Epidemic Simulation Model", Proc. of ESM95, Praha, June 5-7
Backfrieder, W., Bruzzone, A., Longo, F., N ovak, V., & Rosen, J. (2012). “The 1st International Workshop On Innovative Simulation For Health Care”, Vienna Austria
Bruzzone, A. G., Cianci, R., Sciomachen, A., Sinelshchikov, K., & Agresta, M. (2019, July). A digital twin approach to develop a new autonomous system able to operate in high temperature environments within industrial plants. In Proceedings of the 2019 Summer Simulation Conference (p. 25). Society for Computer Simulation International
Bruzzone, A. G. (2018). MS2G as Pillar for Developing Strategic Engineering as a New Discipline for Complex Problem Solving. Keynote Speech at I3M, Budapest, September
Bruzzone, A. G., & Di Bella, P (2018). Tempus Fugit: Time as the Main Parameter for the Strategic Engineering of MOOTW. Proceedings of WAMS
Bruzzone, A. G., Massei, M., Di Matteo, R., & Kutej, L. (2018, October). Introducing Intelligence and Autonomy into Industrial Robots to Address Operations into Dangerous Area. In International Conference on Modelling and Simulation for Autonomous Systesm (pp. 433-444). Springer, Cham
Bruzzone, A. G., & Massei, M. (2017). Simulation-based military training. In Guide to Simulation-Based Disciplines (pp. 315-361). Springer, Cham, CH
Bruzzone, A. G., Massei, M., Agresta, M., di Matteo, R., Sinelshchikov, K., Longo, F., ... & Ferraro, A. (2017). Autonomous systems & safety issues: the roadmap to enable new advances in Industrial Application. Proceedings of EMSS, Barcelona, Spain, September
Bruzzone, A., Longo, F., Massei, M., Nicoletti, L., Agresta, M., Di Matteo, R., ... & Padovano, A. (2016, June). Disasters and emergency management in chemical and industrial plants: drones simulation for education and training. In International Workshop on Modelling and Simulation for Autonomous Systems (pp. 301-308). Springer, Cham
Bruzzone, A. G., Massei, M., Maglione, G. L., Di Matteo, R., & Franzinetti, G. (2016). Simulation of manned & autonomous systems for critical infrastructure protection. Proceedings of DHSS, Larnaca, Cypurs, September
Bruzzone, A. G., Massei, M., Agresta, M., Poggi, S., Camponeschi, F., & Camponeschi, M. (2014a). Addressing strategic challenges on mega cities through MS2G. Proceedings of MAS, Bordeaux, France, September, 12-14
Bruzzone, A. G., Massei, M., Tremori, A., Poggi, S., Nicoletti, L., & Baisini, C. (2014b). Simulation as enabling technologies for agile thinking: training and education aids for decision makers. International Journal of Simulation and Process Modelling 9, 9(1-2), 113-127
Bruzzone, A. G., Frascio, M., Longo, F., Massei, M., Siri, A., & Tremori, A. (2012). MARIA: An agent driven simulation for a web based serious game devoted to renew education processes in health care. Proceedings of WISHC ‘12, 188-194
Bruzzone, A. G., Massei, M., Madeo, F., Tarone, F., & Petuhova, J. (2011). Intelligent agents for pandemic modeling. In Proceedings of the 2011 Emerging M&S Applications in Industry and Academia Symposium, SCS, April, pp. 23-30
Bruzzone, A.G., Cunha, G., Elfrey, P., & Tremori, A. (2009). Simulation for education in resource management in homeland security. In Proceedings of the 2009 Summer Computer Simulation Conference, July, pp. 231-238
Di Bella P. (2015) “Present and Futures Scenarios and Challenges for M&S terms of Human Behaviour Modeling”, Invited Speech at I3M2015, Bergeggi, Italy, September
Massei M., Poggi, S., Agresta, M., & Ferrando, A. (2014) "Development Planning Based on Interoperable Agent Driven Simulation", Journal of Computational Science, 5(3), 395-407
Mazal, J., Bruzzone, A., Turi, M., Biagini, M., Corona, F., & Jones, J. (2019). NATO Use of Modeling and Simulation to Evolve Autonomous Systems. Complexity Challenges in Cyber Physical Systems: Using Modeling and Simulation (M&S) to Support Intelligence, Adaptation and Autonomy, Chapter 3 in Complexity Challenges in Cyber Physical Systems: Using Modeling and Simulation (M&S) to Support Intelligence, Adaptation and Autonomy edited by Saurabh Mittal & Andreas Tolk in J.Wiley and Sons, NYC
Mazal, J., & Bruzzone, A. G. (2017) NATO needs of Future Strategic Engineers. In Workshop on Applied Modelling & Simulation, Praha, Czech Rep.

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