sociogeNEsis of criMinal nEtworks: reconStruction, dIscovery and diSruption
NEMESIS aims to revolutionize the understanding and disruption of criminal networks by leveraging data incompleteness and complexity through innovative statistical models and social science insights.
Projectdetails
Introduction
Europol defines criminal networks as a modern version of the Hydra mythological creature, with obscure genesis, fluid structure, and multifaceted evolutions.
Project Overview
Leveraging a unique synergy between Social Sciences and Statistics, NEMESIS departs from current practice to translate the main obstacles (i.e., data incompleteness and complexity) underlying the reconstruction, discovery, and disruption of these modern criminal networks into a unique resource for crucially expanding available knowledge and policies.
Key Observations
This ambitious perspective builds on three somewhat overlooked, yet fundamental, observations:
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Data Missingness: Data missingness in criminal networks can be, in fact, a fundamental source of information on the structure and secrecy strategies of organized crime, and, as such, should be embraced and not disregarded for network reconstruction.
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Complexity of Interactions: The complexity and multiplexity of covert and overt interactions among criminals may hide a wealth of yet unexplored knowledge on the formation, mutation, and sociogenesis of criminal networks, hence invaluable for their discovery.
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Regeneration Processes: “Cutting” Hydra heads without realistic predictions of the corresponding regeneration processes undermines not only the development of innovative law-enforcement disruption strategies but also the identification of more nuanced high-value targets.
Methodology
NEMESIS transforms these perspectives into rigorous, interpretable, and practically impactful generative statistical models of criminal networks. It introduces innovative concepts of:
- Secret criminal species
- Covert networking activity codes
- Dark evolutionary trees
Expected Impact
This perspective is expected to revolutionize the current practice of conceptualizing, reconstructing, analyzing, and disrupting criminal networks, while opening new avenues for the creation of frontier data-related resources, social theories, law-enforcement strategies, and public policies.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.498.794 |
Totale projectbegroting | € 1.498.794 |
Tijdlijn
Startdatum | 1-1-2024 |
Einddatum | 31-12-2028 |
Subsidiejaar | 2024 |
Partners & Locaties
Projectpartners
- UNIVERSITA COMMERCIALE LUIGI BOCCONIpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
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The online-offline nexus in cybercrime: Examining online and offline pathways into and out of cybercrime
The CybercrimePathways Programme aims to explore and analyze the stages of involvement in and desistance from cybercrime using mixed methods to enhance understanding and theory in criminology.
Towards an evidence-based model for big data policing: Evaluating the statistical-methodological, criminological and legal and ethical conditions
This project aims to develop an interdisciplinary, evidence-based model for big data policing in Europe, addressing research gaps and enhancing crime prediction and resource allocation through randomized trials.
NEurological MEchanismS of Injury, and Sleep-like cellular dynamics
NEMESIS aims to restore normal brain function in focal disorders through circuit-based stimulation and modeling of network abnormalities to improve patient outcomes.
An anthropological study of conspiracy theories from marginalized standpoints
De-CRIPT aims to explore the relationship between conspiracy theories and socioeconomic disadvantage through comparative analysis of marginalized communities in Western Europe, using innovative theoretical and methodological approaches.
Causal Pattern Analysis of Networked Economic Sovereignty
This project analyzes historical legal concepts of sovereignty in six interconnected trade cities to develop an updated framework that encompasses foreign trade relations and economic dynamics.
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MODULE ONDERMIJNING
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