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...

• Hoofdauteur: Jaimes Becerra, Jesus Ramon (author)
• Andere auteurs: Perez Rivas, Natali Yormeri (author), Oña Dominguez, Ángel Andrés (author), Campaña Chaglla, Jimena Alexandra (author), Salazar López, Jairo Javier (author), Intriago Alcivar, Josselin Magdalena (author)
• Formaat: article
• Taal: spa
• Gepubliceerd in: 2024
• Onderwerpen: dinero digital; bancos centrales; predicción; corrupción; narcotráfico; digital money; central banks; prediction; corruption; drug trafficking
• Online toegang: https://revistas.uteq.edu.ec/index.php/csye/article/view/768