Neural Networks And Juvenile Criminal Behavior Essay

818 Words Aug 7th, 2016 4 Pages
Neural Networks and Juvenile Criminal Behavior
Over the past 20 years, significant advancements have been made in both the presentation of “predictive research results” and understanding how these tools can be used to develop improved decision making in a child’s welfare. Steven Banks, one of the country’s premier statisticians and The National Research Council, shifted the debate from that of “predictive accuracy” to probability and introduced the concept of “classification potency” (Baird, 2012). The purpose of this paper is to look at a juvenile’s personal characteristics, demographic factors and inherited characteristics to determine if mapping these area’s will predict a future in criminal behavior.
Gender and Race
Gender and Race are two dominant characteristics that have proved to be predictors of individual criminality. Boys in late adolescence and young men are more likely to be offenders than girls and older men (ojjdp, 2016). In addition, studies have shown African-Americans have greater involvement in violent crimes than Caucasians (ojjdp, 2016).
Gender
Research has shown that criminal offenses are overwhelmingly committed by males ages 15-17 (ojjdp, 2016). A study conducted in Washington DC on juvenile violence showed that of 2,686 juveniles charged with 4 of the most serious of offenses (homicide, rape, robbery and aggravated assault), 82% were males (ojjdp, 2016). In South Carolina, 88% of juveniles who committed murder between the years 1992-1994 were…

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