
Riccardo MilaniUniversity of Applied Sciences and Arts Western Switzerland Fribourg
Riccardo Milani
PhD in Criminology
About
22
Publications
4,874
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47
Citations
Citations since 2017
Introduction
Additional affiliations
February 2019 - September 2019
November 2015 - October 2018
Transcrime (UCSC)
Position
- Researcher
Education
November 2015 - February 2019
September 2014 - July 2015
September 2011 - September 2014
Publications
Publications (22)
Most money laundering (ML) risk assessments carried out in Europe and abroad are qualitative analyses at national aggregate level. To complement current knowledge, this paper – based on the findings of the European co-funded project IARM (Identifying and Assessing the Risk of Money laundering in Europe -www.transcrime.it/iarm) – proposes a new quan...
This study tests the assumptions of the routine activity theory on three online forms of victimization: computer virus, online fraud, and unauthorized use of personal data. Data come from a representative victimization survey conducted in the Swiss city of Lugano from January 2019 to April 2019. The analysis resulted in the following conclusions. F...
This article develops an original corruption risk indicator at the procurement level through a flexible and replicable methodology. A two-stage approach first estimates the potential waste score for each contract by employing a data envelopment analysis before isolating corruption from inefficiency by regressing waste scores on inefficiency determi...
Research addressing the perception of security of immigrants in Switzerland dates back to the 2000s. Using data from a victimisation survey conducted in Lugano, Switzerland (N = 7885), this study investigates the security perception of immigrant communities and its correlates. In contrast to previous findings, the analyses suggest that a higher per...
L’étude "Délinquance juvénile en Suisse", soutenue par le Fonds national suisse, vise à déterminer l’ampleur de la délinquance juvénile, du cyberharcèlement et de la victimisation en Suisse.
Cette enquête s'inscrit dans le cadre de la plus grande étude internationale comparative au monde permettant d’analyser la délinquance juvénile et la victimis...
This paper analyzes the correlates of traditional (burglary, vehicle theft, theft from vehicles, and pickpocketing) and online property crime (data theft and online fraud), with particular attention given to the relation between them and the risk of multiple victimizations. Data are gathered from a large and representative victimization survey cond...
This study develops an original corruption risk indicator at the Italian procurement level-analysing Italian public infrastructures from 2007 to 2013-and estimates the correlation between the profile of contract suppliers and the corruption risk indicator in question. The methodology builds on a three stage semi-parametric procedure and relies on a...
ITTP NEXUS in Europe and Beyond includes an analysis of the illicit flows of cigarettes moving through EU countries, by also examining the role of and the connections with relevant countries in North Africa, the Middle East, and Central Asia. The project identifies and quantifies these flows and highlights the existing connections within political,...
This study develops an innovative methodology to construct a new corruption risk indicator at the Italian procurement level. The methodology relies on a residual approach in which the unexplained part of an inefficiency equation provides the estimates of the potential risk of corruption. The results from an updated Italian public procurement datase...
With the introduction of the new European anti-money laundering directive, all EU countries have to carry out an assessment of the money laundering (ML) risks in their territories. Italy, as well, published at the end of 2014 the first assessment of ML risk at the national level, currently under update. This paper-based on the findings of European...
The final report of project IARM presents an exploratory methodology for assessing the risk of money laundering (ML). In particular, it develops a composite indicator of money laundering risk at geographic area level and at business sector level. The methodology is tested in three pilot countries (Italy, the Netherlands and the United Kingdom).
The...