SnowBall consists in a deep analysis of cascading effects and development of methods to anticipate them; and in a Decision Support System able to display current crisis monitoring and results of simulated decisions integrating cascading effects, thanks to a data collection system, an Events Log Database, Simulators and a Dashboard. SnowBall innovates in its modular approach to crises, its modelling techniques, its agent-supported coupled grid simulations, its generic Events Log Database and tools to follow public behaviour (Emergency Alert, social networks, mobile application).
The project has received funding from the European Union's Seventh Framework Programme for research, technological development and demonstration under grant agreement No. 606742
June 2, 2016
On Tuesday 24th, Enrico Palumbo is presenting the paper about the SnowBall Decision Support Algorithm at the ICDSST2016 conference, in Plymouth, England
“SnowBall DSS: an ensemble Multi-Criteria Decision Support System encompassing cascading effects for disaster management”,
Enrico Palumbo, Michele Osella, Giuseppe Rizzo, Enrico Ferro, Giulio Zuccaro, Mattia Leone and Daniela De Gregorio