Central Bank Digital Currencies (CBDC) and Data Science as tools against crime
The present article aims to outline how Central Bank Digital Currencies (CBDC), in conjunction with data analysis and other technological tools, can be used to build models capable of predicting the criminal behavior of users and combating crimes such as money laundering, drug trafficking, and corru...
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| Muut tekijät: | , , , , |
| Aineistotyyppi: | article |
| Kieli: | spa |
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2024
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| Linkit: | https://revistas.uteq.edu.ec/index.php/csye/article/view/768 |
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| author | Jaimes Becerra, Jesus Ramon |
| author2 | Perez Rivas, Natali Yormeri Oña Dominguez, Ángel Andrés Campaña Chaglla, Jimena Alexandra Salazar López, Jairo Javier Intriago Alcivar, Josselin Magdalena |
| author2_role | author author author author author |
| author_facet | Jaimes Becerra, Jesus Ramon Perez Rivas, Natali Yormeri Oña Dominguez, Ángel Andrés Campaña Chaglla, Jimena Alexandra Salazar López, Jairo Javier Intriago Alcivar, Josselin Magdalena |
| author_role | author |
| collection | Revista Ciencias Sociales y Económicas |
| dc.creator.none.fl_str_mv | Jaimes Becerra, Jesus Ramon Perez Rivas, Natali Yormeri Oña Dominguez, Ángel Andrés Campaña Chaglla, Jimena Alexandra Salazar López, Jairo Javier Intriago Alcivar, Josselin Magdalena |
| dc.date.none.fl_str_mv | 2024-07-12 |
| dc.format.none.fl_str_mv | application/pdf text/html |
| dc.identifier.none.fl_str_mv | https://revistas.uteq.edu.ec/index.php/csye/article/view/768 10.18779/csye.v8i2.768 |
| dc.language.none.fl_str_mv | spa |
| dc.publisher.none.fl_str_mv | Universidad Técnica Estatal de Quevedo |
| dc.relation.none.fl_str_mv | https://revistas.uteq.edu.ec/index.php/csye/article/view/768/928 https://revistas.uteq.edu.ec/index.php/csye/article/view/768/929 |
| dc.rights.none.fl_str_mv | https://creativecommons.org/licenses/by-nc-sa/4.0 info:eu-repo/semantics/openAccess |
| dc.source.none.fl_str_mv | Journal of Social and Economics Science; Vol. 8 No. 2 (2024): Journal of Social Science and Economics; 1-19 Revista de Ciencia Sociales y Económicas; Vol. 8 Núm. 2 (2024): Revista de Ciencias Sociales y Económicas; 1-19 Ciências Sociais e Econômicas; v. 8 n. 2 (2024): Revista de Ciencias Sociales y Económicas; 1-19 2588-0594 2588-0586 10.18779/csye.v8i2 reponame:Revista Ciencias Sociales y Económicas instname:Universidad Técnica Estatal de Quevedo instacron:UTEQ |
| dc.subject.none.fl_str_mv | dinero digital bancos centrales predicción corrupción narcotráfico digital money central banks prediction corruption drug trafficking |
| dc.title.none.fl_str_mv | Central Bank Digital Currencies (CBDC) and Data Science as tools against crime Las Monedas Digitales de los Bancos Centrales (CBDC) y la Ciencia de Datos como herramientas contra la delincuencia |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Artículo evaluado por pares |
| description | The present article aims to outline how Central Bank Digital Currencies (CBDC), in conjunction with data analysis and other technological tools, can be used to build models capable of predicting the criminal behavior of users and combating crimes such as money laundering, drug trafficking, and corruption in Latin America. This involves documentary research supported by a descriptive level of study with a bibliographic design, aiming to showcase the implementation of these instruments in Latin America. The research includes a thorough review of academic literature, explaining the blockchain system, and examining the use of CBDC in some South American countries. It highlights how their digital nature leaves a trace that can be monitored and analyzed by authorities, enabling the prediction of situations. In conclusion, it is asserted that the adoption of CBDC, combined with the use of Data Science and artificial intelligence tools, can be useful for crime prevention. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | REVCSYE_bb6619cb643b53f86c56abca15977bae |
| identifier_str_mv | 10.18779/csye.v8i2.768 |
| instacron_str | UTEQ |
| institution | UTEQ |
| instname_str | Universidad Técnica Estatal de Quevedo |
| language | spa |
| network_acronym_str | REVCSYE |
| network_name_str | Revista Ciencias Sociales y Económicas |
| oai_identifier_str | oai:revistas.uteq.edu.ec:article/768 |
| publishDate | 2024 |
| publisher.none.fl_str_mv | Universidad Técnica Estatal de Quevedo |
| reponame_str | Revista Ciencias Sociales y Económicas |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | Revista Ciencias Sociales y Económicas - Universidad Técnica Estatal de Quevedo |
| repository_id_str | |
| rights_invalid_str_mv | https://creativecommons.org/licenses/by-nc-sa/4.0 |
| spelling | Central Bank Digital Currencies (CBDC) and Data Science as tools against crimeLas Monedas Digitales de los Bancos Centrales (CBDC) y la Ciencia de Datos como herramientas contra la delincuenciaJaimes Becerra, Jesus RamonPerez Rivas, Natali Yormeri Oña Dominguez, Ángel AndrésCampaña Chaglla, Jimena Alexandra Salazar López, Jairo Javier Intriago Alcivar, Josselin Magdalenadinero digitalbancos centralesprediccióncorrupciónnarcotráficodigital moneycentral bankspredictioncorruptiondrug traffickingThe present article aims to outline how Central Bank Digital Currencies (CBDC), in conjunction with data analysis and other technological tools, can be used to build models capable of predicting the criminal behavior of users and combating crimes such as money laundering, drug trafficking, and corruption in Latin America. This involves documentary research supported by a descriptive level of study with a bibliographic design, aiming to showcase the implementation of these instruments in Latin America. The research includes a thorough review of academic literature, explaining the blockchain system, and examining the use of CBDC in some South American countries. It highlights how their digital nature leaves a trace that can be monitored and analyzed by authorities, enabling the prediction of situations. In conclusion, it is asserted that the adoption of CBDC, combined with the use of Data Science and artificial intelligence tools, can be useful for crime prevention. El presente artículo tiene como objetivo mostrar cómo la Moneda Digital de los Bancos Centrales (CBDC), en conjunto con el análisis de datos y otras herramientas tecnológicas, pueden ser utilizadas para construir modelos capaces de predecir el comportamiento delictivo de los usuarios y combatir delitos como el lavado de dinero, el narcotráfico y la corrupción en América Latina. Para lo cual se utiliza una investigación documental apoyado en un nivel de estudio descriptivo con un diseño bibliográfico, con el fin de mostrar la implementación de estos instrumentos en América Latina, realizando una revisión exhaustiva de la literatura académica, explicando el sistema blockchain, y el uso que han tenido las CBDC en algunos países de Suramérica; mostrando cómo su naturaleza digital deja un rastro que puede ser monitoreado y analizado por las autoridades, permitiendo predecir situaciones. Finalmente, se concluye que la adopción de las CBDC, en conjunto con el uso de la Ciencia de Datos y herramientas de la inteligencia artificial, pueden ser útiles para la prevención del delito.Universidad Técnica Estatal de Quevedo2024-07-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArtículo evaluado por paresapplication/pdftext/htmlhttps://revistas.uteq.edu.ec/index.php/csye/article/view/76810.18779/csye.v8i2.768Journal of Social and Economics Science; Vol. 8 No. 2 (2024): Journal of Social Science and Economics; 1-19Revista de Ciencia Sociales y Económicas; Vol. 8 Núm. 2 (2024): Revista de Ciencias Sociales y Económicas; 1-19Ciências Sociais e Econômicas; v. 8 n. 2 (2024): Revista de Ciencias Sociales y Económicas; 1-192588-05942588-058610.18779/csye.v8i2reponame:Revista Ciencias Sociales y Económicasinstname:Universidad Técnica Estatal de Quevedoinstacron:UTEQspahttps://revistas.uteq.edu.ec/index.php/csye/article/view/768/928https://revistas.uteq.edu.ec/index.php/csye/article/view/768/929Derechos de autor 2024 Jesus Ramon Jaimes Becerra, Natali Yormeri Perez Rivas, Ángel Andrés Oña Dominguez, Jimena Alexandra Campaña Chaglla, Jairo Javier Salazar López, Josselin Magdalena Intriago Alcivarhttps://creativecommons.org/licenses/by-nc-sa/4.0info:eu-repo/semantics/openAccess2024-09-27T16:16:40Zoai:revistas.uteq.edu.ec:article/768Portal de revistashttps://revistas.uteq.edu.ec/index.php/csye/Universidad públicahttp://www.uteq.edu.ec/https://revistas.uteq.edu.ec/index.php/csye/oai2588-05942588-0586opendoar:2024-09-27T16:16:40falsePortal de revistashttps://revistas.uteq.edu.ec/index.php/csye/Universidad públicahttp://www.uteq.edu.ec/https://revistas.uteq.edu.ec/index.php/csye/oai2588-05942588-0586opendoar:2024-09-27T16:16:40Revista Ciencias Sociales y Económicas - Universidad Técnica Estatal de Quevedofalse |
| spellingShingle | Central Bank Digital Currencies (CBDC) and Data Science as tools against crime Jaimes Becerra, Jesus Ramon dinero digital bancos centrales predicción corrupción narcotráfico digital money central banks prediction corruption drug trafficking |
| status_str | publishedVersion |
| title | Central Bank Digital Currencies (CBDC) and Data Science as tools against crime |
| title_full | Central Bank Digital Currencies (CBDC) and Data Science as tools against crime |
| title_fullStr | Central Bank Digital Currencies (CBDC) and Data Science as tools against crime |
| title_full_unstemmed | Central Bank Digital Currencies (CBDC) and Data Science as tools against crime |
| title_short | Central Bank Digital Currencies (CBDC) and Data Science as tools against crime |
| title_sort | Central Bank Digital Currencies (CBDC) and Data Science as tools against crime |
| topic | dinero digital bancos centrales predicción corrupción narcotráfico digital money central banks prediction corruption drug trafficking |
| url | https://revistas.uteq.edu.ec/index.php/csye/article/view/768 |