3,338 research outputs found
Spent convictions and the architecture for establishing legal semantic workflows
This research was partially funded by the Data to Decisions Cooperative Research Centre (D2D CRC, Australia), and Meta-Rule of Law (DER2016- 78108-P, Spain)Operating within the Data to Decision Cooperative Research Centre (D2D CRC), the authors are currently involved in the Integrated Law Enforcement program and the Compliance through Design project. These have the goal of developing a federated data platform for law enforcement agencies that will enable the execution of integrated analytics on data accessed from different external and internal sources, thereby providing effective support to an investigator or analyst working to evaluate evidence and manage lines of inquiries in an investigation. Technical solutions should also operate ethically, in compliance with the law and subject to good governance principles. This paper is focused on the Australian spent convictions scheme, which provide use cases to test the platform
Tackling financial and economic crime through strategic intelligence: The EMPRISES Framework
For the successful monitoring and combatting of Serious Organised Economic Crime (SOEC) and fraud, further integration of Member States systems across Europe is needed. This paper describes a system for strategic intelligence management providing a more coherent and
coordinated approach for detecting and deterring
SOEC and fraud. The EMPRISES framework increases the effectiveness of communication between Member States by developing an agreed common language (taxonomy) of SOEC and fraud with automated multi-lingual support. By appropriating
and applying existing business tools and analysis
techniques to the illegitimate businesses of SOEC and
fraud, this new system can support Member States to
better target these crimes and the criminals involved
The EMPRISES pan-European Framework:
There is a need for further integration of information systems globally for tackling Serious Organised Economic Crime (SOEC). Taking Europe as the illustration, and levering existing pan-EU (European Union) systems such as Europol's SIENA and the FIU.NET as well as national systems, further steps can be taken to provide a more coherent and coordinated approach for detecting and deterring SOEC. This aim is achievable through the EMPRISES framework, which adds value to national, SIENA and FIU.NET systems by increasing the effectiveness of communication across Europe. EMPRISES would introduce an agreed common language (taxonomy) of SOEC, including multi-lingual support. Moreover, by enriching the taxonomy with current business tools and analysis techniques through the SOEC Architecture that EMPRISES embodies, the illegitimate businesses of SOEC can be monitored and combatted
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Prolegomenon to a Political Economy of Intelligence and Security: Can Microeconomic Analysis Explain Success or Failure in Intelligence Cooperation?
This thesis was submitted for the award of Doctor of Philosophy and was awarded by Brunel University LondonThe governmental functions of security and intelligence require a number of distinct organisations and functions to interact in a symbiotic way. Because the external environment is uncertain and complex, these organisations must constantly negotiate with each other to establish which of them addresses which issue, and with what resources. Coasian principles suggest that if there are no transacting costs and property rights are clear, then such negotiations should lead to an overall maximisation of the benefits gained (in this case better security and intelligence provision), yet this is rarely realised. By coupling the transaction cost theory devised by Oliver Williamson in 1975 with a range of alternate theoretical perspectives that impact on these areas of governance, an institutional costs approach is developed. By increasing the resolution of the analysis whilst still retaining a comprehensive overview, the frictions that hinder negotiated cooperation become apparent.
The two cases of counterterrorism and defence intelligence in both the United Kingdom and the United States are then used to test and refine the institutional costs paradigm that results. These demonstrate that orthodox views of good cooperation in the former and poor cooperation in the latter are overly simplistic, as neither is necessarily more disposed to behave cooperatively than the other; rather, the institutional costs environment that their respective organisational architectures create incentivises different cooperative behaviour in different circumstances. The analysis also shows that the impact of the various factors that make up the institutional costs paradigm is in fact far more nuanced in these areas than is evident in earlier transaction costs scholarship. Their relevance differs by type as well as degree. Institutional costs analysis therefore provides the beginnings of a political economy for cooperative working in the intelligence and security spheres of governance
Community-Oriented Policing and Technological Innovations
Community-Oriented Policing; Police Studies; Policing and Technology; Predictive Policing; Policing Innovations; Crime Prevention and Intervention; Crime Detection; Fear of Crime; Urban Securit
ECHO Information sharing models
As part of the ECHO project, the Early Warning System (EWS) is one of four technologies under development. The E-EWS will provide the capability to share information to provide up to date information to all constituents involved in the E-EWS. The development of the E-EWS will be rooted in a comprehensive review of information sharing and trust models from within the cyber domain as well as models from other domains
Managing stimulation of regional innovation subjects’ interaction in the digital economy
The reported study was funded by RFBR according to the research project No. 18-01000204_a, No. 16-07-00031_a, No. 18-07-00975_a.Purpose: The article is devoted to solving fundamental scientific problems in the scope of the development of forecasting modeling methods and evaluation of regional company’s innovative development parameters, synthesizing new methods of big data processing and intelligent analysis, as well as methods of knowledge eliciting and forecasting the dynamics of regional innovation developments through benchmarking. Design/Methodology/Approach: For regional economic development, it is required to identify the mechanisms that contribute to (or impede) the innovative economic development of the regions. The synergetic approach to management is based on the fact that there are multiple paths of IS development (scenarios with different probabilities), although it is necessary to reach the required attractor by meeting the management goals. Findings: The present research is focused on obtainment of new knowledge in creating a technique of multi-agent search, collection and processing of data on company’s innovative development indicators, models and methods of intelligent analysis of the collected data. Practical Implications: The author developed recommendations before starting the process of institutional changes in a specific regional innovation system. The article formulates recommendations on the implementation of institutional changes in the region taking into account the sociocultural characteristics of the region’s population. Originality/Value: It is the first time, when a complex of models and methods is based on the use of a convergent model of large data volumes processing is presented.peer-reviewe
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