Publications – Valcri

White Paper WP-2017-12: Data Protection Impact Assessments (DPIAs) in the law enforcement sector according to Directive (EU) 2016/680 – A comparative analysis of methodologies

Ms Haider — Fri, 15 Jun 2018 12:26:58 +0000

Keywords

Data Protection Impact Assessments (DPIAs), law enforcement, EU Directive 2016/680, Visual Analytics

VALCRI WHITE PAPER SERIES

VALCRI-WP-2017-12 DPIA Guidelines – Methodological Comparison

White Paper WP-2017-011: Applying Visual Interactive Dimensionality Reduction to Criminal Intelligence Analysis

Ms Haider — Fri, 13 Jan 2017 11:04:45 +0000

VALCRI provides a challenging and overwhelming high-dimensional dataset that comprises of hundreds of extracted semantic features in addition to the usual spatiotemporal information or metadata. To overcome the curse of dimensionality and to generate low-dimensional representations of these semantic features we apply interactive high-dimensional data analysis techniques with the goal of obtaining clusters of similar crime reports. However, it is still a challenge for crime analysts to make sense of the results and to provide useful interactive feedback to the system. Therefore, we provide several tightly integrated interactive visualizations that allow the analysts to identify clusters of similar crimes from different perspectives and interactively focus their analysis on features or crime records of particular interest.

Keywords

Criminal Intelligence, High-Dimensional Data Analysis, Feature Extraction, Dimensionality Reduction, Visual Analytics

VALCRI WHITE PAPER SERIES

VALCRI-WP-2017-011 Interactive Visual Dimension Reduction

White Paper WP-2017-010: Roadmap for the Operationalization of Legal and Privacy Requirements in VALCRI Analysis

Ms Haider — Fri, 13 Jan 2017 11:03:35 +0000

This White Paper seeks to illustrate how the LEP guidelines and several legal requirements are set to be further operationalized in the VALCRI project. Based on VALCRI’s data management policy for the live data tests of February 2017, it formulates technical solutions and concrete measures to meet legal data protection requirements adapted to the working environment of criminal analysts.

Keywords

Visual Analytics, Criminal Intelligence Analysis LEP Guidelines, Crime, Analytics, Data Management, Data Protection Principles, Operationalization.

VALCRI WHITE PAPER SERIES

VALCRI-WP-2017-010 Operationalisation Legal

White Paper WP-2017-009: Analytical Provenance for Criminal Intelligence Analysis

Ms Haider — Fri, 13 Jan 2017 09:55:44 +0000

In criminal intelligence analysis to complement the information entailed and to enhance the transparency of the operations, it demands logs of the individual processing activities within an automated processing system. Management and tracing of such security sensitive analytical information flow originated from tightly coupled visualizations into visual analytic system for criminal intelligence that triggers huge amount of analytical information on a single click, involves design and development challenges. To lead to a believable story by using scientific methods, reasoning for getting explicit knowledge of series of events, sequences and time surrounding interrelationships with available relevant information by using human perception, cognition, reasoning with database operations and computational methods, an analytic visual judgmental support is obvious for criminal intelligence. Our research outlines the requirements and development challenges of such system as well as proposes a generic way of capturing different complex visual analytical states and processes known as analytic provenance. The proposed technique has been tested into a large heterogeneous event-driven visual analytic modular analyst’s user interface (AUI) of the project VALCRI (Visual Analytics for Sensemaking in Criminal Intelligence) and evaluated by the police intelligence analysts through it’s visual state capturing and retracing interfaces. We have conducted several prototype evaluation sessions with the groups of end-users (police intelligence analysts) and found very positive feedback. Our approach provides a generic support for visual judgmental process into a large complex event-driven AUI system for criminal intelligence analysis.

Keywords

Analytic Provenance, Visual Analytics, Transparency, Visualization Design, Sensemaking.

VALCRI WHITE PAPER SERIES

VALCRI-WP-2017-009 Provenance

White Paper WP-2017-008: Improving Professional Training in Criminal Intelligence Analysis

Ms Haider — Fri, 13 Jan 2017 09:49:13 +0000

The training and development of criminal intelligence professionals has long suffered from a range of challenges including the absence of rigorous training standards and a failure to embrace new disciplines or branches of knowledge. This has undermined analysts’ abilities to keep pace with the evolution of crime. The VALCRI syllabus was developed to address this problem by providing instruction in a holistic set of organisational, operational, informational, technological and cognitive skills. We outline the evolution of this syllabus and what we hope to achieve through its delivery.

Keywords

Criminal intelligence, law enforcement intelligence, intelligence training, professional development, analytic training, intelligence analysis, VALCRI Project

VALCRI WHITE PAPER SERIES

VALCRI-WP-2017-008 Training

White Paper WP-2017-007: Research Data: The Art and Science of Anonymising Data

Ms Haider — Fri, 13 Jan 2017 09:47:47 +0000

The EU FP7 funded VALCRI project is the research and development of a visual analytics system for sense making in criminal intelligence analysis. In order to undertake the research and assess its impact on the project’s End User community there is a fundamental requirement to have a set of data which is recognisable and realistic for use by real criminal analysts. One of the project’s End User partners, West Midlands Police (WMP) has released a set of real data to another partner, A E Solutions (BI) Ltd (AES), to anonymise and subsequently release to the project for research and component testing.

Author

Rick Adderley
AE-Solutions (BI) LTD
Badsey, Worcestershire WR11 7AA
UNITED KINGDOM

VALCRI WHITE PAPER SERIES

VALCRI-WP-2017-007 Research Data

White Paper WP-2017-006: Psychological Factors in Criminal Intelligence Analysis: What they are, why they are important, and how to deal with them

Ms Haider — Fri, 13 Jan 2017 09:45:58 +0000

This paper presents a framework that deals with psychological aspects that are relevant in the daily work of criminal analysts. These aspects include structuring and reasoning of criminal information, understanding and sense-making of information, and the mitigation of cognitive biases in the analytics process. Each of these human factors is described in terms of a problem statement, how the problem is addressed, and which results have been achieved so far. The Human Issues Framework bundles them and gives advice on how they can be taken up by system designers and developers. In this way the Human Issues Framework builds a sound basis for the design and specification of visual analytic systems for criminal analysis from a psychological perspective.

Keywords

Criminal analysis, reasoning, evidential structuring, sense-making, cognitive bias, human issues framework.

VALCRI WHITE PAPER SERIES

VALCRI-WP-2017-006 Psychology Factors

White Paper WP-2017-005: The Operationalisation of Transparency in VALCRI

Ms Haider — Fri, 13 Jan 2017 09:43:31 +0000

This White Paper presents some research and findings from the EU-funded R&D project VALCRI with regard to the requirement of transparency from legal, ethical, and data protection perspective. Thereby, it addresses difficulties of transparency operationalization and presents possible solution approaches, which are linked to recent R&D in the realm of data, process and reasoning provenance.

Keywords

Crime Analytics, Transparency, Legal, Data Protection Law, Ethics, Provenance.

VALCRI WHITE PAPER SERIES

VALCRI-WP-2017-005 Transparency

White Paper WP-2017-004: Security and Privacy Technologies in VALCRI

Ms Haider — Fri, 13 Jan 2017 09:41:55 +0000

This paper outlines the goals and major high-level challenges regarding security and privacy within VALCRI, and provides a discussion of the state-of-the-art and VACLRI approaches to overcome respective limitations in the domains of access control, privacy protection, secure logging and model/policydriven security and privacy.

Keywords

Security, privacy, information system, access control, Model Driven Security, Model Driven Privacy, PET, re-identification analysis, anonamization, pseudonymization, logging, LEA

VALCRI WHITE PAPER SERIES

VALCRI-WP-2017-004 Security PET

White Paper WP-2017-003: Applying Data Science to Criminal Intelligence Analysis

Ms Haider — Sun, 08 Jan 2017 09:49:17 +0000

A major challenge of criminal intelligence analysis is to process large amount of semi-structured or unstructured data such as textual documents and videos and to extract useful information out of the data to support semantic search, sense-making and decision making. In VALCI, a computational framework is developed that incorporates concept extraction, ontology use and evolution, associative search, and image/video analysis for semantic search and knowledge discovery. In this white paper we introduce the key concepts have been applied and their corresponding technologies that have been developed to tackle the challenge.

Keywords

Criminal Intelligence, Semantic Search, Evolving Knowledge Base, Ontology, Associative Search, Concept
Extraction, Video Analysis

VALCRI WHITE PAPER SERIES

VALCRI-WP-2017-003 Data Science