Modelos Proativos de Apoio à Informação do Sistema Judiciário

Autores

  • Vladyslav Teremetskyi Doctor in Law, Professor, leading research scientist of the Department of International Private and Comparative Law, Academician F.H. Burchak Scientific Research Institute of Private Law and Entrepreneurship, National Academy of Legal Sciences of Ukraine, Kyiv, Ukraine.
  • Olha Kovalchuk Ph.D. in Economic, Associate Professor of the Department of Security and Law Enforcement, Faculty of Law, West Ukrainian National University, Ternopil, Ukraine.
  • Andrii Kolesnikov Ph.D. in Economic, Associate Professor of the Department of Security and Law Enforcement, Faculty of Law, West Ukrainian National University, Ternopil, Ukraine.
  • Zhanna Udovenko Doctor in Law, Associate Professor, associate Professor of the Department of Criminal and Criminal Procedure Law оf the National University оf «Kyiv-Mohyla Academy», Kyiv, Ukraine.
  • Oleksandr Shramko Doctor of Philosophy in the Field of Law, Ternopil Research Expert Forensic Center of the Ministry of Internal Affairs of Ukraine, Ternopil, Ukraine.
  • Oleg Predmestnikov Doctor in Law, Professor, Head of the Department of Law, Melitopol State Pedagogical University named after Bogdan Khmelnitsky, Zaporizhzhia, Ukraine.

DOI:

https://doi.org/10.18256/2238-0604.2023.v19i3.4975

Palavras-chave:

sistema judicial, judiciário, tribunal, tecnologias de informação, sistema de informação, suporte de informação, agências de aplicação da lei

Resumo

No mundo moderno e dinâmico, o crime está a tornar-se cada vez mais transnacional e apoiado tecnologicamente. Isto exige que os sistemas judiciais de diferentes países apliquem abordagens inovadoras e tecnologias de informação de última geração para combatê-lo eficazmente. A pesquisa apresentada propõe uma nova abordagem proativa para identificar tendências criminais, que combina modelos de regras associativas e modelos geoespaciais. O artigo visa desenvolver um modelo de informação e implementar uma nova abordagem preditiva para estudar tendências criminais para descobrir padrões complexos e fortes relacionamentos em dados criminais. A pesquisa utilizou uma metodologia abrangente, incorporando procedimentos experimentais, métodos de síntese, mineração de regras associativas para reconhecimento de padrões e modelagem preditiva geoespacial para identificação e previsão de tendências espaciais. Os modelos aplicados foram construídos utilizando dados reais sobre casos criminais na região de Ternopil (Ucrânia) de 2013 a 2023. Foram identificados tipos de crimes e períodos com níveis elevados de atividade criminosa, bem como indicadores de envolvimento de grupos organizados. Foram visualizadas zonas de concentração de ofensas dentro da região. A maior prevalência da criminalidade nas áreas urbanas foi confirmada. Estes modelos podem ser facilmente adaptados a novos dados e integrados num sistema de informação unificado para apoiar a tomada de decisões nos sistemas judiciais da Ucrânia e da União Europeia.

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Biografia do Autor

  • Vladyslav Teremetskyi, Doctor in Law, Professor, leading research scientist of the Department of International Private and Comparative Law, Academician F.H. Burchak Scientific Research Institute of Private Law and Entrepreneurship, National Academy of Legal Sciences of Ukraine, Kyiv, Ukraine.
    Doctor in Law, Professor, leading research scientist of the Department of International Private and Comparative Law, Academician F.H. Burchak Scientific Research Institute of Private Law and Entrepreneurship, National Academy of Legal Sciences of Ukraine, Kyiv, Ukraine.
  • Olha Kovalchuk, Ph.D. in Economic, Associate Professor of the Department of Security and Law Enforcement, Faculty of Law, West Ukrainian National University, Ternopil, Ukraine.
    Ph.D. in Economic, Associate Professor of the Department of Security and Law Enforcement, Faculty of Law, West Ukrainian National University, Ternopil, Ukraine.
  • Andrii Kolesnikov, Ph.D. in Economic, Associate Professor of the Department of Security and Law Enforcement, Faculty of Law, West Ukrainian National University, Ternopil, Ukraine.
    Ph.D. in Economic, Associate Professor of the Department of Security and Law Enforcement, Faculty of Law, West Ukrainian National University, Ternopil, Ukraine.
  • Zhanna Udovenko, Doctor in Law, Associate Professor, associate Professor of the Department of Criminal and Criminal Procedure Law оf the National University оf «Kyiv-Mohyla Academy», Kyiv, Ukraine.
    Doctor in Law, Associate Professor, associate Professor of the Department of Criminal and Criminal Procedure Law оf the National University оf «Kyiv-Mohyla Academy», Kyiv, Ukraine.
  • Oleksandr Shramko, Doctor of Philosophy in the Field of Law, Ternopil Research Expert Forensic Center of the Ministry of Internal Affairs of Ukraine, Ternopil, Ukraine.
    Doctor of Philosophy in the Field of Law, Ternopil Research Expert Forensic Center of the Ministry of Internal Affairs of Ukraine, Ternopil, Ukraine.
  • Oleg Predmestnikov, Doctor in Law, Professor, Head of the Department of Law, Melitopol State Pedagogical University named after Bogdan Khmelnitsky, Zaporizhzhia, Ukraine.
    Doctor in Law, Professor, Head of the Department of Law, Melitopol State Pedagogical University named after Bogdan Khmelnitsky, Zaporizhzhia, Ukraine.

Referências

ALIKHADEMI, K.; DROBINA, E.; PRIOLEAU, D.; RICHARDSON, B.; PURVES, D.; GILBERT, J. E. A Review of Predictive Policing from the Perspective of Fairness. Artif. Intell. Law, v. 30, p. 1-17, 2022. doi: https://doi.org/10.1007/s10506-021-09286-4.

BEREZKA, K. M.; KOVALCHUK, O. Ya. Associative Rules for modeling international security decisions in the context of the Ukrainian-Russian war. Preliminary evaluations. Folia Oeconomica, v. 23, n. 2, p. 67-85, 2023. doi: https://doi.org/10.2478/foli-2023-0019.

BEREZKA, K. M.; KOVALCHUK, O. Ya.; BANAKH, S. V.; ZLYVKO, S. V.; HRECHANIUK, R. A Binary Logistic Regression Model for Support Decision Making in Criminal Justice. Folia Oeconomica Stetinensia, v. 22, n. 1, p. 1-17, 2022. doi: https://doi.org/10.2478/foli-2022-0001.

BERK, R. A. Artificial Intelligence, Predictive Policing, and Risk Assessment for Law Enforcement. Annu. Rev. Criminol., v. 4, p. 209-237, 2021. doi: https://doi.org/10.1146/annurev-criminol-051520-012342.

BOSCHAN, J. A.; ROMAN, C. G. Hot Spots of Gun Violence in the Era of Focused Deterrence: A Space-Time Analysis of Shootings in South Philadelphia. Soc. Sci., v. 13, artigo número 119, 2024. doi: https://doi.org/10.3390/socsci13020119.

BURGIN, M.; MESTDAGH, K. d. V. Complexity of Legal Processes and Systems. Proceedings, v. 47, p. 17, 2022. doi: https://doi.org/10.3390/proceedings2020047017.

CHAINEY, S. P.; MATIAS, J. A. S.; NUNES JUNIOR, F. C. F.; COELHO DA SILVA, T. L.; DE MACÊDO, J. A. F.; MAGALHÃES, R. P.; DE QUEIROZ NETO, J. F.; SILVA, W. C. P. Improving the Creation of Hot Spot Policing Patrol Routes: Comparing Cognitive Heuristic Performance to an Automated Spatial Computation Approach. ISPRS Int. J. Geo-Inf., v. 10, artigo número 560, 2021. doi: https://doi.org/10.3390/ijgi10080560.

DEMPSEY, R. P.; BRUNET, J. R.; DUBLJEVIĆ, V. Exploring and Understanding Law Enforcement’s Relationship with Technology: A Qualitative Interview Study of Police Officers in North Carolina. Appl. Sci., v. 13, artigo número 3887, 2023. doi: https://doi.org/10.3390/app13063887.

DENEGRI, F.; LEY-GARCÍA, J. Crime against Businesses: Temporal Stability of Hot Spots in Mexicali, Mexico. ISPRS Int. J. Geo-Inf., v. 10, artigo número 178, 2021. doi: https://doi.org/10.3390/ijgi10030178.

HE, Z.; LAI, R.; WANG, Z.; LIU, H.; DENG, M. Comparative Study of Approaches for Detecting Crime Hotspots with Considering Concentration and Shape Characteristics. Int. J. Environ. Res. Public Health, v. 19, artigo número 14350, 2022. doi: https://doi.org/10.3390/ijerph192114350.

HE, Z.; WANG, Z.; GU, Y.; AN, X. Measuring the Influence of Multiscale Geographic Space on the Heterogeneity of Crime Distribution. ISPRS Int. J. Geo-Inf., v. 12, artigo número 437, 2023. doi: https://doi.org/10.3390/ijgi12100437.

KOVALCHUK, O.; BANAKH, S. Problem-oriented approach to the formation of information support for judicial and law enforcement agencies. Actual problems of jurisprudence, v. 4, p. 72-78, 2024. doi: https://doi.org/10.35774/app2023.04.025. (In Ukrainian).

KOVALCHUK, O.; KASIANCHUK, M.; KARPINSKI, M.; SHEVCHUK, R. Decision-Making Supporting Models Concerning the Internal Security of the State. International Journal of Electronics and Telecommunications, v. 69, n. 2, p. 301-307, 2023. doi: https://doi.org/10.24425/ijet.2023.144365.

KOVALCHUK, O.; SHEVCHUK, R.; SHANGYTBAEVA, G.; KASIANCHUK, M. Decision Support Model Based on the Analysis of International Security Risks and Threats. In: Przetwarzanie, transmisja i bezpieczeństwo informacji. Bielsku-Białej: Wydawnictwo Nauk. Akademii Techniczno-Humanistycznej, 2022. p. 57-70. Disponível em: https://engineerxxi.ubb.edu.pl/konferencja/publikacje-konferencyjne/przetwarzanie-transmisja-i-bezpieczenstwo-informacji2022-3.html.

MALLOY, N. R. Essential Modeling Techniques for Geospatial Analysis Using ArcGIS: An Intermediate-Level GIS Workbook. Textbooks and Manuals Series, v. 6, 2020. Disponível em: https://digitalcommons.humboldt.edu/textbooks/6.

MATHUR, V. Association Rule Mining: Importance and Steps. Analytics Steps, 2022. Disponível em: https://www.analyticssteps.com/.

PARK, S.-H.; LEE, D.-G.; PARK, J.-S.; KIM, J.-W. A Survey of Research on Data Analytics-Based Legal Tech. Sustainability, v. 13, artigo número 8085, 2021. doi: https://doi.org/10.3390/su13148085.

RAHMAN, K. U.; KHAN, Z.; KHAN, T. A. A Review on the Criminal Justice System: Understanding its Structural Components and Process in Pakistan. Global Legal Studies Review. Indiana Journal of Global Legal Studies, v. 5, n. 3, p. 33-38, 2020. doi: https://doi.org/10.31703/glsr.2020(V-III).04.

RAI, A. An Overview of Association Rule Mining; Its Applications. UpGrad, 2022. Disponível em: https://www.upgrad.com/.

SINGH, A. K.; SINGH, Y. A Study on the Concept of Criminal Justice System and Police System. Juni Khyat (UGC Care Group I Listed Journal), v. 10, n. 7, p. 141-152, 2020. Disponível em: https://www.researchgate.net/publication/359002508_A_STUDY_ON_THE_CONCEPT_OF_CRIMINAL_JUSTICE_SYSTEM_AND_POLICE_SYSTEM.

SPYROPOULOS, A. Z.; BRATSAS, C.; MAKRIS, G. C.; GAROUFALLOU, E.; TSIANTOS, V. Interoperability-Enhanced Knowledge Management in Law Enforcement: An Integrated Data-Driven Forensic Ontological Approach to Crime Scene Analysis. Information, v. 14, artigo número 607, 2023. doi: https://doi.org/10.3390/info14110607.

TEREMETSKYI, V. I.; DULIBA, YE. V. Peculiarities of Implementation and Functioning of the Unified Judicial Information and Telecommunication System as an E-Justice Tool. Forum Prava, v. 75, n. 2, p. 130-143, 2023. doi: https://doi.org/10.5281/zenodo.7947514.

TEREMECKYI, V. I.; ZHURAVEL, Y. V. Digitization as an organizational basis for optimization of executive authorities. Private and public law, v. 2, p. 108-112, 2020. doi: https://doi.org/10.32845/2663-5666.2020.2.21.

WANG, R. Legal technology in contemporary USA and China. Comput. Law Secur. Rev., v. 39, artigo número 105459, 2020. doi: https://doi.org/10.1016/j.clsr.2020.105459.

Unified register of pre-trial investigations. 2024. Disponível em: https://erdr.gp.gov.ua. (In Ukrainian).

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Publicado

30-12-2023

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Como Citar

TEREMETSKYI, Vladyslav; KOVALCHUK, Olha; KOLESNIKOV, Andrii; UDOVENKO, Zhanna; SHRAMKO, Oleksandr; PREDMESTNIKOV, Oleg. Modelos Proativos de Apoio à Informação do Sistema Judiciário. Revista Brasileira de Direito, Passo Fundo, RS, Brasil, v. 19, n. 3, p. e4975, 2023. DOI: 10.18256/2238-0604.2023.v19i3.4975. Disponível em: https://seer.atitus.edu.br/index.php/revistadedireito/article/view/4975. Acesso em: 6 set. 2025.