The big data potential of epidemiological studies for criminology and forensics

被引:4
|
作者
DeLisi, Matt [1 ]
机构
[1] Iowa State Univ, 203A East Hall, Ames, IA 50011 USA
关键词
Epidemiology; Criminology; Big data; Forensics; Criminal justice; MENTAL-HEALTH PROBLEMS; UNITED-STATES; ANTISOCIAL-BEHAVIOR; PSYCHIATRIC-DISORDERS; CRIMINAL CAREERS; NATIONAL SAMPLE; PREVALENCE; RECIDIVISM; OFFENDERS; ADULTS;
D O I
10.1016/j.jflm.2016.09.004
中图分类号
DF [法律]; D9 [法律]; R [医药、卫生];
学科分类号
0301 ; 10 ;
摘要
Big data, the analysis of original datasets with large samples ranging from similar to 30,000 to one million participants to mine unexplored data, has been under-utilized in criminology. However, there have been recent calls for greater synthesis between epidemiology and criminology and a small number of scholars have utilized epidemiological studies that were designed to measure alcohol and substance use to harvest behavioral and psychiatric measures that relate to the study of crime. These studies have been helpful in producing knowledge about the most serious, violent, and chronic offenders, but applications to more pathological forensic populations is lagging. Unfortunately, big data relating to crime and justice are restricted and limited to criminal justice purposes and not easily available to the research community. Thus, the study of criminal and forensic populations is limited in terms of data volume, velocity, and variety. Additional forays into epidemiology, increased use of available online judicial and correctional data, and unknown new frontiers are needed to bring criminology up to speed in the big data arena. (c) 2016 Elsevier Ltd and Faculty of Forensic and Legal Medicine. All rights reserved.
引用
收藏
页码:24 / 27
页数:4
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