7 resultados para Alcoholism and crime
em Digital Commons at Florida International University
Resumo:
Organized crime and illegal economies generate multiple threats to states and societies. But although the negative effects of high levels of pervasive street and organized crime on human security are clear, the relationships between human security, crime, illicit economies, and law enforcement are highly complex. By sponsoring illicit economies in areas of state weakness where legal economic opportunities and public goods are seriously lacking, both belligerent and criminal groups frequently enhance some elements of human security of the marginalized populations who depend on illicit economies for basic livelihoods. Even criminal groups without a political ideology often have an important political impact on the lives of communities and on their allegiance to the State. Criminal groups also have political agendas. Both belligerent and criminal groups can develop political capital through their sponsorship of illicit economies. The extent of their political capital is dependent on several factors. Efforts to defeat belligerent groups by decreasing their financial flows through suppression of an illicit economy are rarely effective. Such measures, in turn, increase the political capital of anti-State groups. The effectiveness of anti-money laundering measures (AML) also remains low and is often highly contingent on specific vulnerabilities of the target. The design of AML measures has other effects, such as on the size of a country’s informal economy. Multifaceted anti-crime strategies that combine law enforcement approaches with targeted socio-economic policies and efforts to improve public goods provision, including access to justice, are likely to be more effective in suppressing crime than tough nailed-fist approaches. For anti-crime policies to be effective, they often require a substantial, but politically-difficult concentration of resources in target areas. In the absence of effective law enforcement capacity, legalization and decriminalization policies of illicit economies are unlikely on their own to substantially reduce levels of criminality or to eliminate organized crime. Effective police reform, for several decades largely elusive in Latin America, is one of the most urgently needed policy reforms in the region. Such efforts need to be coupled with fundamental judicial and correctional systems reforms. Yet, regional approaches cannot obliterate the so-called balloon effect. If demand persists, even under intense law enforcement pressures, illicit economies will relocate to areas of weakest law enforcement, but they will not be eliminated.
Resumo:
Knowledge of crimes that have occurred in hotels has been scares. The authors explore the nature and causes of hotel crimes in a U.S. metropolitan area. Levels of crimes were directly related to size of the hotel, target market of business travelers, access to public transportation, and an unsafe image of the environment surrounding the hotel. Crime prevention programs based on the findings can be developed to protect the safety of guests and property.
Resumo:
With hundreds of millions of users reporting locations and embracing mobile technologies, Location Based Services (LBSs) are raising new challenges. In this dissertation, we address three emerging problems in location services, where geolocation data plays a central role. First, to handle the unprecedented growth of generated geolocation data, existing location services rely on geospatial database systems. However, their inability to leverage combined geographical and textual information in analytical queries (e.g. spatial similarity joins) remains an open problem. To address this, we introduce SpsJoin, a framework for computing spatial set-similarity joins. SpsJoin handles combined similarity queries that involve textual and spatial constraints simultaneously. LBSs use this system to tackle different types of problems, such as deduplication, geolocation enhancement and record linkage. We define the spatial set-similarity join problem in a general case and propose an algorithm for its efficient computation. Our solution utilizes parallel computing with MapReduce to handle scalability issues in large geospatial databases. Second, applications that use geolocation data are seldom concerned with ensuring the privacy of participating users. To motivate participation and address privacy concerns, we propose iSafe, a privacy preserving algorithm for computing safety snapshots of co-located mobile devices as well as geosocial network users. iSafe combines geolocation data extracted from crime datasets and geosocial networks such as Yelp. In order to enhance iSafe's ability to compute safety recommendations, even when crime information is incomplete or sparse, we need to identify relationships between Yelp venues and crime indices at their locations. To achieve this, we use SpsJoin on two datasets (Yelp venues and geolocated businesses) to find venues that have not been reviewed and to further compute the crime indices of their locations. Our results show a statistically significant dependence between location crime indices and Yelp features. Third, review centered LBSs (e.g., Yelp) are increasingly becoming targets of malicious campaigns that aim to bias the public image of represented businesses. Although Yelp actively attempts to detect and filter fraudulent reviews, our experiments showed that Yelp is still vulnerable. Fraudulent LBS information also impacts the ability of iSafe to provide correct safety values. We take steps toward addressing this problem by proposing SpiDeR, an algorithm that takes advantage of the richness of information available in Yelp to detect abnormal review patterns. We propose a fake venue detection solution that applies SpsJoin on Yelp and U.S. housing datasets. We validate the proposed solutions using ground truth data extracted by our experiments and reviews filtered by Yelp.
Resumo:
With hundreds of millions of users reporting locations and embracing mobile technologies, Location Based Services (LBSs) are raising new challenges. In this dissertation, we address three emerging problems in location services, where geolocation data plays a central role. First, to handle the unprecedented growth of generated geolocation data, existing location services rely on geospatial database systems. However, their inability to leverage combined geographical and textual information in analytical queries (e.g. spatial similarity joins) remains an open problem. To address this, we introduce SpsJoin, a framework for computing spatial set-similarity joins. SpsJoin handles combined similarity queries that involve textual and spatial constraints simultaneously. LBSs use this system to tackle different types of problems, such as deduplication, geolocation enhancement and record linkage. We define the spatial set-similarity join problem in a general case and propose an algorithm for its efficient computation. Our solution utilizes parallel computing with MapReduce to handle scalability issues in large geospatial databases. Second, applications that use geolocation data are seldom concerned with ensuring the privacy of participating users. To motivate participation and address privacy concerns, we propose iSafe, a privacy preserving algorithm for computing safety snapshots of co-located mobile devices as well as geosocial network users. iSafe combines geolocation data extracted from crime datasets and geosocial networks such as Yelp. In order to enhance iSafe's ability to compute safety recommendations, even when crime information is incomplete or sparse, we need to identify relationships between Yelp venues and crime indices at their locations. To achieve this, we use SpsJoin on two datasets (Yelp venues and geolocated businesses) to find venues that have not been reviewed and to further compute the crime indices of their locations. Our results show a statistically significant dependence between location crime indices and Yelp features. Third, review centered LBSs (e.g., Yelp) are increasingly becoming targets of malicious campaigns that aim to bias the public image of represented businesses. Although Yelp actively attempts to detect and filter fraudulent reviews, our experiments showed that Yelp is still vulnerable. Fraudulent LBS information also impacts the ability of iSafe to provide correct safety values. We take steps toward addressing this problem by proposing SpiDeR, an algorithm that takes advantage of the richness of information available in Yelp to detect abnormal review patterns. We propose a fake venue detection solution that applies SpsJoin on Yelp and U.S. housing datasets. We validate the proposed solutions using ground truth data extracted by our experiments and reviews filtered by Yelp.
Resumo:
Faced with the violence, criminality and insecurity now threatening peace and democratic governance in Central America, the region’s governments have decided to use the Armed Forces to carry out actions in response to criminal actions, looking to improve their performance. Although public demand for including the Armed Forces in these functions takes place within a legally legitimate framework, it is motivated by tangible circumstances such as increased levels of violence, delinquency and crime. Despite being coupled with the perception of institutional weakness within the security and judicial system (particularly police) and the recognition of prestige, efficiency, discipline and severity in fulfilling the Armed Forces’ missions, these arguments are insufficient to legitimize the use of the military as a police force. Within this context, this paper reflects on the implications or consequences of the use of the Armed Forces in duties traditionally assigned to the police in the Central American region with the goal of contributing to the debate on this topic taking place in the Americas. To achieve this end, first we will focus on understanding the actual context in which a decision is made to involve the Armed Forces in security duties in the region. Second, we will examine the effects and implications of this decision on the Armed Forces’ relations within their respective societies. Third and finally, considering this is already a reality in the region, this paper will provide recommendations. The main findings of this research, resulting from the application of an analyticaldescriptive and historically based study, are organized in three dimensions: the political dimension, by implication referring to the relationship between the ultimate political authority and the Armed Forces; the social dimension, by implication the opinion of citizens; and other implications not only affecting the structural and cultural organization of armies and police but also the complementary operational framework within a context of comprehensive response by the State. As a main conclusion, it poses there is an environment conducive to the use of the Armed Forces in citizen’s security, in view of the impact of threats provoked by criminal structures of a military nature currently operating in Central America. However, this participation creates an inevitable social and political impact if implemented in isolation or given a political leading role and/or operational autonomy. This participation poses risks to the institutions of the Armed Forces and the police as well. Finally, this paper identifies an urgent need for the Armed Forces’ role to be more clearly defined with regard to security matters, limiting it to threats that impact States’ governability and existence. Nonetheless, Central American States should seek a COMPREHENSIVE response to current crime and violence, using all necessary institutions to confront these challenges, but with defined roles and responsibilities for each and dynamic coordination to complement their actions.
Resumo:
Since El Salvador’s civil war formally ended in 1992 the small Central American nation has undergone profound social changes and significant reforms. However, few changes have been as important or as devastating as the nation’s emergence as a central hub in the transnational criminal “pipeline” or series of recombinant, overlapping chains of routes and actors that illicit organizations use to traffic in drugs, money weapons, human being, endangered animals and other products. The erasing of the once-clear ideological lines that drove the civil war and the ability of erstwhile enemies to join forces in criminal enterprises in the post-war period is an enduring and dangerous characteristic of El Salvador’s transnational criminal evolution. Trained, elite cadres from both sides, with few legitimate job opportunities, found their skills were marketable in the growing criminal structures. The groups moved from kidnapping and extortion to providing protection services to transnational criminal organizations to becoming integral parts of the organizations themselves. The demand for specialized military and transportation services in El Salvador have exploded as the Mexican DTOs consolidate their hold on the cocaine market and their relationships with the transportista networks, which is still in flux. The value of their services has risen dramatically also because of the fact that multiple Mexican DTOs, at war with each other in Mexico and seeking to physically control the geographic space of the lucrative pipeline routes in from Guatemala to Panama, are eager to increase their military capabilities and intelligence gathering capacities. The emergence of multiple non-state armed groups, often with significant ties to the formal political structure (state) through webs of judicial, legislative and administrative corruption, has some striking parallels to Colombia in the 1980s, where multiple types of violence ultimately challenged the sovereignty of state and left a lasting legacy of embedded corruption within the nation’s political structure. Organized crime in El Salvador is now transnational in nature and more integrated into stronger, more versatile global networks such as the Mexican DTOs. It is a hybrid of both local crime – with gangs vying for control off specific geographic space so they can extract payment for the safe passage of illicit products – and transnational groups that need to use that space to successfully move their products. These symbiotic relationships are both complex and generally transient in nature but growing more consolidated and dangerous.
Resumo:
Brazil’s growing status as a potential world power cannot obscure the characteristics of its other reality: that of a country with vast inequalities and high crime rates. The Comando Vermelho, the most prominent organized crime syndicate in Rio de Janeiro, besieges the beauty and charm that attracts tourists to this city. The CV arose not only as a product of the political dictatorship of the seventies, but also of the disenfranchised urban poor crammed into Rio’s favela slums. Today, the CV presents a powerful challenge to the State’s control of parts of Rio territory. As Brazil’s soft power projection grows, it is seriously challenged by its capacity to eliminate organized crime. Economic growth is not sufficient to destroy a deeply embedded organization like the CV. In fact, Brazil’s success may yet further retrench the CV’s activities. Culpability for organized crime cannot be merely limited to the gangs, but must also be shared among the willing consumers, among whom can be found educated and elite members of society, as well as the impoverished and desperate. The Brazilian government needs a top-down response addressing the schism between rich and poor. However, Brazil’s citizens must also take responsibility and forge a bottom-up response to the drug- and corruption-riddled elements of its most respected members of society. Brazil must target reform across public health, housing, education and above all, law enforcement. Without such changes, Brazil will remain a two-track democracy. Rio’s wealthy will still be able to revel in the city’s beauty albeit from behind armored cars and fortified mansions, while the city’s poor will yield – either as victims or perpetrators – to the desperate measures of organized crime.