The Use of Big Data in Thailand’s Justice System
Research Objective: to examine the base condition, problem and solution related with the use of Big Data in Thailand’s justice system. This study examined the guideline of modern criminology, which saw application of science such as big data to prevent and control recidivism.
Research Method: This study was qualitative document research of concepts, theories and books, along with research works and academic articles from domestic and foreign databases. Content analysis approach was used for data analysis, and major findings were:
Base condition and problems: Effective and concrete application of big data in Thailand was driven by the government policy in order to create an information ecosystem that allows systematic data sharing. There were problems and obstacles in five aspects: 1) Diverse data warehousing standards in Thailand’s justice system agency infrastructure, 2) legal limitations on big data management (related with relevant acts and regulations), 3) Different definitions of recidivism among Thailand’s justice agencies, 4) limitations on quality of the recidivism risk assessment form, 5) the staff lacked knowledge and ability to use modern technology.
Solutions: 1) There should be establishment of a data exchange center for justice agencies, 2) establishment of the data exchange center will facilitate big data management without legal limitations, 3) definition and counting of recidivism should be standardized for accurate comparison and analysis, 4) quality of the recidivism assessment form should be improved, minimizing ambiguity and improving relevance of the questions, 5) there should be a policy on building awareness of data governance, along with training courses and assessment.
Keywords: Big data, Justice System, Criminology, Recidivism.