Methodology for qualitative assessment of optimization of legislation and law enforcement practice based on big data analysis of the cases on administrative offences

Abstract

The subject of this research is the interdisciplinary legal and computer research tools and methods. The authors substantiate the interdisciplinary (legal-computational) methodology for automated analysis and assessment of qualitative changes in legislation and law enforcement practice. Interim results of the research project that are of methodological nature and cover methodological paradigm, principles, means and methods of scientific research are provided. The formulated conclusions represent a summary of heuristic search and computational experiments carried out in the domain field of administrative tort law, as well as comprehension of the process and results of research from both, legal and computer perspectives. Explanation is given to the interdisciplinary paradigm in the indicated methodological area. Leaning on the empirical evidence and observations, the author formulates the three research principles: principle of heterogeneity of domain, principle of discreteness of legal practice, and principle of identity of the model. As the key research tools, the author substantiates and tests in computational experiments the scientific information-analytical system, mathematical and social indicators have been developed, justified and tested in computational experiments. Computer methods (knowledge modeling, natural language processing, machine learning) that ensure automation of identification and usage of indicators mate with the dogmatic method, systemic analysis and expert assessment responsible for legal interpretation of computations.  The legal and computer tools are determined for identification and usage of the principal indicators. In conclusion, the author outlines a number of problems and restrictions determined in the course of the conducted research.