Detect the unexpected: a science for surveillance

Purpose – The purpose of this paper is to outline a strategy for research development focused on addressing the neglected role of visual perception in real life tasks such as policing surveillance and command and control settings. Approach – The scale of surveillance task in modern control room is expanding as technology increases input capacity at an accelerating rate. The authors review recent literature highlighting the difficulties that apply to modern surveillance and give examples of how poor detection of the unexpected can be, and how surprising this deficit can be. Perceptual phenomena such as change blindness are linked to the perceptual processes undertaken by law-enforcement personnel. Findings – A scientific programme is outlined for how detection deficits can best be addressed in the context of a multidisciplinary collaborative agenda between researchers and practitioners. The development of a cognitive research field specifically examining the occurrence of perceptual “failures” provides an opportunity for policing agencies to relate laboratory findings in psychology to their own fields of day-to-day enquiry. Originality/value – The paper shows, with examples, where interdisciplinary research may best be focussed on evaluating practical solutions and on generating useable guidelines on procedure and practice. It also argues that these processes should be investigated in real and simulated context-specific studies to confirm the validity of the findings in these new applied scenarios

Training of Crisis Mappers and Map Production from Multi-sensor Data: Vernazza Case Study (Cinque Terre National Park, Italy)

This aim of paper is to presents the development of a multidisciplinary project carried out by the cooperation between Politecnico di Torino and ITHACA (Information Technology for Humanitarian Assistance, Cooperation and Action). The goal of the project was the training in geospatial data acquiring and processing for students attending Architecture and Engineering Courses, in order to start up a team of "volunteer mappers". Indeed, the project is aimed to document the environmental and built heritage subject to disaster; the purpose is to improve the capabilities of the actors involved in the activities connected in geospatial data collection, integration and sharing. The proposed area for testing the training activities is the Cinque Terre National Park, registered in the World Heritage List since 1997. The area was affected by flood on the 25th of October 2011. According to other international experiences, the group is expected to be active after emergencies in order to upgrade maps, using data acquired by typical geomatic methods and techniques such as terrestrial and aerial Lidar, close-range and aerial photogrammetry, topographic and GNSS instruments etc.; or by non conventional systems and instruments such us UAV, mobile mapping etc. The ultimate goal is to implement a WebGIS platform to share all the data collected with local authorities and the Civil Protectio

Data analytics and algorithms in policing in England and Wales: Towards a new policy framework

RUSI was commissioned by the Centre for Data Ethics and Innovation (CDEI) to conduct an independent study into the use of data analytics by police forces in England and Wales, with a focus on algorithmic bias. The primary purpose of the project is to inform CDEI’s review of bias in algorithmic decision-making, which is focusing on four sectors, including policing, and working towards a draft framework for the ethical development and deployment of data analytics tools for policing. This paper focuses on advanced algorithms used by the police to derive insights, inform operational decision-making or make predictions. Biometric technology, including live facial recognition, DNA analysis and fingerprint matching, are outside the direct scope of this study, as are covert surveillance capabilities and digital forensics technology, such as mobile phone data extraction and computer forensics. However, because many of the policy issues discussed in this paper stem from general underlying data protection and human rights frameworks, these issues will also be relevant to other police technologies, and their use must be considered in parallel to the tools examined in this paper. The project involved engaging closely with senior police officers, government officials, academics, legal experts, regulatory and oversight bodies and civil society organisations. Sixty nine participants took part in the research in the form of semi-structured interviews, focus groups and roundtable discussions. The project has revealed widespread concern across the UK law enforcement community regarding the lack of official national guidance for the use of algorithms in policing, with respondents suggesting that this gap should be addressed as a matter of urgency. Any future policy framework should be principles-based and complement existing police guidance in a ‘tech-agnostic’ way. Rather than establishing prescriptive rules and standards for different data technologies, the framework should establish standardised processes to ensure that data analytics projects follow recommended routes for the empirical evaluation of algorithms within their operational context and evaluate the project against legal requirements and ethical standards. The new guidance should focus on ensuring multi-disciplinary legal, ethical and operational input from the outset of a police technology project; a standard process for model development, testing and evaluation; a clear focus on the human–machine interaction and the ultimate interventions a data driven process may inform; and ongoing tracking and mitigation of discrimination risk

The future of camera networks: staying smart in a chaotic world

Camera networks become smart when they can interpret video data on board, in order to carry out tasks as a collective, such as target tracking and (re-)identi cation of objects of interest. Unlike today’s deployments, which are mainly restricted to lab settings and highly controlled high-value applications, future smart camera networks will be messy and unpredictable. They will operate on a vast scale, drawing on mobile resources connected in networks structured in complex and changing ways. They will comprise heterogeneous and decentralised aggregations of visual sensors, which will come together in temporary alliances, in unforeseen and rapidly unfolding scenarios. The potential to include and harness citizen-contributed mobile streaming, body-worn video, and robot- mounted cameras, alongside more traditional xed or PTZ cameras, and supported by other non-visual sensors, leads to a number of di cult and important challenges. In this position paper, we discuss a variety of potential uses for such complex smart camera networks, and some of the challenges that arise when staying smart in the presence of such complexity. We present a general discussion on the challenges of heterogeneity, coordination, self-recon gurability, mobility, and collaboration in camera networks

Mission-Critical Communications from LMR to 5G: a Technology Assessment approach for Smart City scenarios

Radiocommunication networks are one of the main support tools of agencies that carry out actions in Public Protection & Disaster Relief (PPDR), and it is necessary to update these communications technologies from narrowband to broadband and integrated to information technologies to have an effective action before society. Understanding that this problem includes, besides the technical aspects, issues related to the social context to which these systems are inserted, this study aims to construct scenarios, using several sources of information, that helps the managers of the PPDR agencies in the technological decisionmaking process of the Digital Transformation of Mission-Critical Communication considering Smart City scenarios, guided by the methods and approaches of Technological Assessment (TA).As redes de radiocomunicações são uma das principais ferramentas de apoio dos órgãos que realizam ações de Proteção Pública e Socorro em desastres, sendo necessário atualizar essas tecnologias de comunicação de banda estreita para banda larga, e integra- las às tecnologias de informação, para se ter uma atuação efetiva perante a sociedade . Entendendo que esse problema inclui, além dos aspectos técnicos, questões relacionadas ao contexto social ao qual esses sistemas estão inseridos, este estudo tem por objetivo a construção de cenários, utilizando diversas fontes de informação que auxiliem os gestores destas agências na tomada de decisão tecnológica que envolve a transformação digital da Comunicação de Missão Crítica considerando cenários de Cidades Inteligentes, guiado pelos métodos e abordagens de Avaliação Tecnológica (TA)

Managing a risky business : developing the professional practice of police and probation officers in the supervision of high risk offenders

Discussions about risk are central to the formulation of criminal justice and penal policies. They shape ways of perceiving and responding to what is deemed risky behavior. This thesis builds upon research about the application and effects of “the new penology”, with its emphasis on “actuarialism”, which promotes quantitative methods used in accountancy as an analytical method for risk assessment. This thesis goes beyond policy texts and theories providing original contribution that explores how the police and the probation services actually interpret and implement policy and manage mutual institutional pressures and biases. It does so by using interviews and debriefing process with police and probation practitioners, as well as by drawing upon the author’s own professional experience. This thesis identifies some of the effects of implementing actuarial practices within police and probation working, looking at convergent and divergent views. It aims at a clearer understanding of the partnership working between police and probation services arising from different perspectives and response to risk. The findings support the notion that actuarial practices permeate this arena of public protection; influencing intra and inter-service partnerships and the implementation of MAPPA aims. Actuarial analysis accentuates a tendency to prioritise police crime control policies but not without resistance from probation officers. A number of MAPPA deficiencies including ineffective information sharing processes exist between critical partners impeding partnership working. Disagreements formed from differences in organisational aims of rehabilitation and crime control, accentuated by the actuarial risk assessment methodology. Repeated working together of personnel and development of collaborative initiatives helped alleviate misunderstandings. Conflict between the two services was most acute in relation to the transfer process, breach of licence conditions and recall to custody of offenders. Gaps in knowledge and experience created significant issues particularly for those new to risk management and the responsibilities associated to this arena of public protection work. Activities to aid communal development were identified through organisational learning founded in communities of practice and isomorphic learning encouraging the growth of networks of learning. Crisis causation models and the systemic lessons learned knowledge model (Syllk) provided diverse perspectives to assess people, learning, culture, social values, technology, process and infrastructure. Improvements in any combination of these factors supported the development of trust and learning between agencies. The Transforming Rehabilitation agenda transformed the public protection world and amplified the negative aspects of the findings in this thesis. Anxieties about data, information sharing and the effectiveness of the framework to transfer cases between agencies are a contemporary problem for the National Probation Service and Community Rehabilitation Companies to tackle. Failure to do so will place the public at greater risk

How Does the Law Put a Historical Analogy to Work?: Defining the Imposition of “A Condition Analogous to That of a Slave” in Modern Brazil

Over the last decades, the Brazilian state has engaged in concerted legal efforts to identify and prosecute cases of what officials refer to as “slave labor” (trabalho escravo). At a conceptual level, the campaign has paired the constitutional protection of human dignity and the “social value of labor” with an expansive interpretation of the offense described in Article 149 of the Criminal Code as “the reduction of a person to a condition analogous to that of a slave.” At the operational level, mobile teams of inspectors and prosecutors have intervened in thousands of work sites, and labor prosecutors have obtained hundreds of consent agreements and convictions in the labor courts, a civil branch of the judiciary. Between the mid-1990s and the end of 2016, some 51,000 workers were administratively resgatados (“rescued”) from rural and urban workplaces in which inspectors determined that they had been reduced to a condition analogous to slavery. Under the supervision of the inspectors, labor contracts have been administratively cancelled, back pay has been (when possible) extracted from the employer, and unemployment insurance payments have been provided to the rescued workers

Large-Scale Mapping of Human Activity using Geo-Tagged Videos

This paper is the first work to perform spatio-temporal mapping of human activity using the visual content of geo-tagged videos. We utilize a recent deep-learning based video analysis framework, termed hidden two-stream networks, to recognize a range of activities in YouTube videos. This framework is efficient and can run in real time or faster which is important for recognizing events as they occur in streaming video or for reducing latency in analyzing already captured video. This is, in turn, important for using video in smart-city applications. We perform a series of experiments to show our approach is able to accurately map activities both spatially and temporally. We also demonstrate the advantages of using the visual content over the tags/titles.Comment: Accepted at ACM SIGSPATIAL 201

Neighbourhood Management

The way we run urban neighbourhoods in Britain is a key to reversing social exclusion, crime and poor performance on almost every front in our cities. This study for the Social Exclusion Unit of seven models of neighbourhood management analyses the reason for its key position in the national strategy for neighbourhood renewal. We explore the need for it, its function and remit. It hinges on three core ideas: someone in charge at neighbourhood level to ensure reasonable conditions and co-ordinate the many inputs already flowing into neighbourhoods; the practical relevance of the core idea across almost any area; the immediate and longer-term impacts on conditions of a clearly focussed, truly local neighbourhood management service. To work well, there must be a dedicated budget, a senior manager in control locally, immediate security and environmental targets, resident involvement. The costs are relatively modest but must be properly funded; the benefits are indispensable as the experiments show and continental experience underlines.Social housing, neighbourhoods, area regeneration