Francisco Grimaldo, professor at the Department of Computer Science at the University of Valencia (UV), has developed together with Mexican researchers a computer model that allows simulating the effect of extortion on companies and analysing aspects such as GDP, the unemployment rate or the inflation. Research shows that the negative effects of extortion are milder when the population does not commit this crime than when it stands trial.
The project developed by Francisco Grimaldo, in collaboration with the Artificial Intelligence Research Centre of the Universidad Veracruzana (Mexico), measures the socioeconomic impact of extortion, a type of crime on which it is difficult to obtain data because the number of complaints is seen reduced for fear of retaliation.
“The analysis of in silico data, that is, generated through large-scale simulation computational models, allows us to scrutinise the behaviour of complex systems such as criminal networks anonymously and securely”, Francisco Grimaldo highlighted.
The computer model includes the different economic actors that intervene in the goods market, the labour market and the credit market; thus, adjusting parameters such as the propensity to make use of extortion, the limit that companies will be willing to pay, or the probability that these criminals will be imprisoned, the micro and macroeconomic indicators of this simulated society are calculated.
The data analysed show how a greater number of extortionists increases the unemployment rate and inequalities, in addition to having a negative effect on GDP.
The results obtained by the study through the two main variables of the model, which are the probability that the population will become extortionists (which will depend on the authorities’ ability to prevent it) and the probability that the extortionists are imprisoned (which will depend on the effectiveness with which justice punishes this crime), they present better socioeconomic data in a scenario where the appearance of extortionate attitudes can be prevented as much as possible.
The authors highlight that a possible way to prevent extortion would be to make this activity less profitable for criminals since, according to the research data, the wealth of extortionists is strongly related to the propensity to report companies. An effective justice system that builds trust in citizens would also help in this prevention.
Link to article: http://jasss.soc.surrey.ac.uk/24/1/3.html
