Strategic intent and the management of infrastructure systems

Infrastructure forms an enduring and evolving system of services, assets, projects and networks. This paper presents an overview of research into the misalignment between the strategic intent and the management of those systems. The research draws from experiences across infrastructure sectors and countries to frame the problem and then uses central and local government transportation organisations from New Zealand to explore the problem in more detail. Although infrastructure does not often fail catastrophically, there is an inability to deliver appropriate and relevant infrastructure outcomes fully over the long term. This paper presents the cross-case analysis of three detailed studies that explored this issue through three different lenses by investigating three key life-cycle/organisational transitions at the system rather than at the project level. The research has identified a pressing need for ‘system stewardship’ to address the increased specialisation and siloed operation within current practice. This boundary spanning function/culture is needed to deliver not only ‘joined-up thinking’, but also organisational learning and the ongoing transformation of the complexed asset–service–organisational–contextual system in response to ongoing change. Anguillid Consulting Engineers and Scientists Ltd, New Zealand Transport Agency, Auckland Transport, Lucy Cavendish College, Cambridge University Engineering Department (Ford of Britain Trust), and DR R McDowall

Interviewing and visualisation techniques: Attempting to further improve EvoFIT facial composites

Victims of and witnesses to crime are asked to describe an offender using cognitive interviewing techniques (CI), before constructing a visual likeness of the face. The aim of the current experiment was to investigate whether composite construction using the EvoFIT holistic system would benefit from the parallel use of three enhancement techniques. The study manipulated the type of interview used to elicit a face description (CI vs. holistic cognitive interview, or H-CI) and trialled a visualisation technique for selecting faces (no visualisation vs. visualisation of external features). Also included was a new construction procedure for EvoFIT that requested constructors to focus on the region around the eyes when making face selections. Based on past research, it was anticipated that both the H-CI and external-feature visualisation would promote construction of a more identifiable composite (compared to when each technique was not used). Rather unexpectedly, the results revealed that neither technique improved correct naming of composites, yet an interaction was observed: visualisation of external features led to a benefit that approached significance when used in conjunction with the H-CI (cf. CI). However, when no external-feature visualisation was used, composites were better named following the more usual CI (cf. H-CI) protocol. Results are promising for the new method of face selection, which was used by all participants (focusing on the eye region). Indeed, in the baseline condition, where this was the only `enhancement' method used, naming of composites was 55% correct. Arguably, focusing on the character of the face during the H-CI may instate a processing style that is not well aligned with the new procedure of selecting faces according to the eye region. To overcome this misalignment of processing stages, we propose to ask constructors to focus on this region of the face during the H-CI itself. Implications for theory and police practice are discussed

Catching More Offenders with EvoFIT Facial Composites: Lab Research and Police Field Trials

Often the only evidence of an offender s identity comes from the memory of an eyewitness For over 12 years we have been developing software called EvoFIT to help eyewitnesses recover their memories of offenders faces to assist police investigations EvoFIT requires eyewitnesses to repeatedly select from arrays of faces with breeding to evolve a face Recently police forces have been formally evaluating EvoFIT in criminal cases The current paper describes four such police audits It is reported that EvoFIT composites directly led to an arrest in 25 4 of cases overall the arrest rate was 38 5 for forces that used a newer less detailed face-recall interview These results are similar to those found in the laboratory using simulated procedures Here we also evaluate the impact of interviewing techniques and outline further work that has improved system performanc

Effecting Data Quality Through Data Governance: a Case Study in the Financial Services Industry

One of the most significant challenges faced by senior management today is implementing a data governance program to ensure that data is an asset to an organization\u27s mission. New legislation aligned with continual regulatory oversight, increasing data volume growth, and the desire to improve data quality for decision making are driving forces behind data governance initiatives. Data governance involves reshaping existing processes and the way people view data along with the information technology required to create a consistent, secure and defined processes for handling the quality of an organization\u27s data. In examining attempts to move towards making data an asset in organizations, the term data governance helps to conceptualize the break with existing ad hoc, siloed and improper data management practices. This research considers a case study of large financial services company to examine data governance policies and procedures. It seeks to bring some information to bare on the drivers of data governance, the processes to ensure data quality, the technologies and people involved to aid in the processes as well as the use of data governance in decision making. This research also addresses some core questions surrounding data governance, such as the viability of a golden source record, ownership and responsibilities for data, and the optimum placement of a data governance department. The findings will provide a model for financial services companies hoping to take the initial steps towards better data quality and ultimately a data governance capability

Varieties of biometric facial techniques for detecting offenders

Many crimes are committed where the only record of the event is in the memory of a witness or victim. Recovering a recognisable image of the offender’s face is then crucial for solving the crime. Traditionally, eyewitnesses describe the offender’s face and select individual facial features – eyes, hair, nose, etc. – to build a ‘composite’. This image is then published in the media so that someone can recognise it and phone the police with a name. Unfortunately, when tested using life-like procedures, this method rarely produces recognisable images. The current paper describes these systems for extracting such biometric information from witnesses. It also describes how useful they are and explores three such approaches for improving their effectiveness. Included are a new method to interview witnesses (a holistic-cognitive interview), a new method to present images to the public (animated composite) and a new system to construct the face (EvoFIT)

The BrooklynNOW! Project: Community-based Planning for Neighborhood Revitalization

The BrooklynNOW! Project is a practical planning approach to inspiring participatory community and economic development as a planning support system to the Village of Brooklyn, Illinois. This project focuses on planning at the neighborhood level that helps the community begin to identify, organize, and share its collective voice with local decision-makers about what vision the community has for Brooklyn's future.Ope

Catching more offenders with EvoFIT facial composites: Lab research and Police field trials.

Often, the only evidence of an offender’s identity comes from the memory of an eyewitness. For over 12 years, we have been developing software called EvoFIT to help eyewitnesses recover their memories of offenders’ faces, to assist police investigations. EvoFIT requires eyewitnesses to repeatedly select from arrays of faces, with ‘breeding’, to ‘evolve’ a face. Recently, police forces have been formally evaluating EvoFIT in criminal cases. The current paper describes four such police audits. It is reported that EvoFIT composites directly led to an arrest in 25.4% of cases overall; the arrest rate was 38.5% for forces that used a newer, less detailed face-recall interview. These results are similar to those found in the laboratory using simulated procedures. Here, we also evaluate the impact of interviewing techniques and outline further work that has improved system performance

Facial Recall and Computer Composites

Imagine, if you will, that you are sitting quietly outside a café sipping your favourite hot beverage when someone rushes past and snatches your mobile phone, which you left on the table, as you often do. You were able to get a good look at the person’s face, albeit for a short time. Your next hour is spent speaking with a police officer giving a description of what happened and what the offender looked like. It is likely that you could describe accurately what happened. You will probably also be able to describe the perpetrator’s build and clothing. There should be no trouble in saying what was the sex of the person and his or her ethnicity; you should be reasonably accurate at estimating the age, height and weight. You could probably remember some details of the person’s face. Incidents such as these are known as “volume” crime. They occur frequently, often without physical assault to the victim, and their seriousness, at least from a legal perspective, is fairly minor. Due to limitations in police resources, many perpetrators of volume crime are never caught, although time spent locating particularly prolific offenders can be worthwhile. Crimes involving these repeat offenders, and other crimes of a more serious nature including murder, arson and rape, are generally given higher priority in police investigations. It is in these cases that eyewitnesses (witnesses or victims) may be asked to engage in a range of tasks to assist in the detection and later conviction of the offender. When the police have a suspect, they may be asked to take part in an identification parade. (Further details about this are the focus of a separate chapter.) Alternatively, eyewitnesses may be shown photographs of previously arrested criminals for identification, sometimes referred to as mugshots. In the absence of a suspect, CCTV footage or other evidence, witnesses may be called upon to externalise an offender’s face. The aim is to create a visual image based on remembered information, so that it can be shown to other people for identification. Such images are known as facial composites and are seen in the newspapers and on TV, for example, BBC CrimeWatch. The idea is that someone who is familiar with the face will name it to the police and, in doing so, will provide new lines of enquiry. The focus of the current chapter is on the construction and the recognition of facial composites produced by modern software systems. A separate chapter in this volume details how composites are created by sketch artists. This chapter describes and evaluates typical software programs that the police use to construct faces. It will be demonstrated that the traditional approach used with eyewitnesses is generally ineffective for producing identifiable images, and that alternatives are required if composites are to be effective in the battle against crime. Several successful developments are described. The final section looks to the future and asks what might be on the horizon for producing even more effective faces

Recovering faces from memory: the distracting influence of external facial features.

Recognition memory for unfamiliar faces is facilitated when contextual cues (e.g. head pose, background environment, hair and clothing) are consistent between study and test. By contrast, inconsistencies in external features, especially hair, promote errors in unfamiliar face-matching tasks. For the construction of facial composites, as carried out by witnesses and victims of crime, the role of external features (hair, ears and neck) is less clear, although research does suggest their involvement. Here, over three experiments, we investigate the impact of external features for recovering facial memories using a modern, recognition-based composite system, EvoFIT. Participant-constructors inspected an unfamiliar target face and, one day later, repeatedly selected items from arrays of whole faces, with ‘breeding’, to ‘evolve’ a composite with EvoFIT; further participants (evaluators) named the resulting composites. In Experiment 1, the important internal-features (eyes, brows, nose and mouth) were constructed more identifiably when the visual presence of external features was decreased by Gaussian blur during construction: higher blur yielded more identifiable internal-features. In Experiment 2, increasing the visible extent of external features (to match the target’s) in the presented face-arrays also improved internal-features quality, although less so than when external features were masked throughout construction. Experiment 3 demonstrated that masking external-features promoted substantially more identifiable images than using the previous method of blurring external-features. Overall, the research indicates that external features are a distractive rather than a beneficial cue for face construction; the results also provide a much better method to construct composites, one that should dramatically increase identification of offenders