Policy analysis for local government

This paper considers the impact of quality approaches within the personal social services over the last decade. In particular it examines how applicable private sector approaches to quality, such as Total Quality Management, are in the public and personal social services. Both the hard and soft tools of Total Quality Management are critically considered in terms of their relevance and ability to modernise service provision. In the context of the managerial discourse presently dominating the public sector, it is argued that the hard tools of Total Quality Management, such as performance measurement and review, will only add to managerial control; whilst the soft tools of empowerment and cultural change will lose their critical effect. It is the contention of this paper that unless the current Labour government's Modernising Services Policy succeeds in democratising the process of developing quality then it will only add to the managerial agenda at the expense of improving service provision.     

Cognitive issues in fingerprint analysis: inter- and intra-expert consistency and the effect of a 'target' comparison

Deciding whether two fingerprint marks originate from the same source requires examination and comparison of their features. Many cognitive factors play a major role in such information processing. In this paper we examined the consistency (both between- and within-experts) in the analysis of latent marks, and whether the presence of a 'target' comparison print affects this analysis. Our findings showed that the context of a comparison print affected analysis of the latent mark, possibly influencing allocation of attention, visual search, and threshold for determining a 'signal'. We also found that even without the context of the comparison print there was still a lack of consistency in analysing latent marks. Not only was this reflected by inconsistency between different experts, but the same experts at different times were inconsistent with their own analysis. However, the characterization of these inconsistencies depends on the standard and definition of what constitutes inconsistent. Furthermore, these effects were not uniform; the lack of consistency varied across fingerprints and experts. We propose solutions to mediate variability in the analysis of friction ridge skin.     

Cognitive forensics and experimental research about bias in forensic casework

Understanding and coping with cognitive bias in forensic science requires multiple studies, utilizing both laboratory-based experiments and data from casework. Neither type of studies has ever been conducted to examine bias in mixture DNA interpretations. A study that includes both types of data has recently been published in Science and Justice. The data and statistical analysis clearly — at the very least — suggest that bias may potentially influence DNA mixture interpretation. This is due, in part, to the subjective elements in interpretation of mixture DNA. The issue of bias and other cognitive influences is of a sensitive nature and presents complex experimental challenges. Our study takes a step in examining these issues and calls for more research.     

Emotional Experiences and Motivating Factors Associated with Fingerprint Analysis

Abstract: In this study, we investigated the emotional and motivational factors involved in fingerprint analysis in day‐to‐day routine case work and in significant and harrowing criminal investigations. Thematic analysis was performed on interviews with 13 experienced fingerprint examiners from a variety of law enforcement agencies. The data revealed factors relating to job satisfaction and the use of skill. Individual satisfaction related to catching criminals was observed; this was most notable in solving high profile, serious, or long‐running cases. There were positive emotional effects associated with matching fingerprints and apparent fear of making errors. Finally, we found evidence for a need of cognitive closure in fingerprint examiner decision‐making.     

Expert Reliability in Legal Proceedings: “Eeny,Meeny, Miny,Moe, With Which Expert Should We Go?”

Between Expert Reliability refers to the extent to which different experts examining identical evidence make the same observations and reach the same conclusions. Some areas of expert decision making have been shown to entail questions with relatively low Between Expert Reliability, but the disagreement between experts is not always communicated to the legal actors forming decisions on the basis of the expert evidence. In this paper, we discuss the issues of Between Expert Reliability in legal proceedings, using forensic age estimations as a case study. Across national as well international jurisdictions, there is large variation in which experts are hired to conduct age estimations as well as the methods they use. Simultaneously, age estimations can be fully decisive for outcomes e.g. in asylum law and criminal law. Using datasets obtained from the Swedish legal context, we identify that radiologists and odontologists examining knees or teeth images to estimate age seem to disagree within their own disciplines (radiologist 1 v. radiologist 2 or odontologist 1 v. odontologist 2) as well as across different disciplines (radiologist v. odontologist) relatively often. This may have large implications e.g. in cases where only one expert from the respective field is involved. The paper discusses appropriate ways for legal actors to deal with the possibility of lacking Between Expert Reliability. This is indeed a challenging task provided that legal actors are legal experts but not necessarily scientific experts.     

Meta-analytically quantifying the reliability and biasability of forensic experts

Abstract:  In this paper we employ meta-analytic procedures and estimate effect sizes indexing the degree of reliability and biasability of forensic experts. The data are based on within-expert comparisons, whereby the same expert unknowingly makes judgments on the same data at different times. This allows us to take robust measurements and conduct analyses that compare variances within the same experts, and thus to carefully quantify the degree of consistency and objectivity that underlie expert performance and decision making. To achieve consistency, experts must be reliable, at least in the very basic sense that an expert makes the same decision when the same data are presented in the same circumstances, and thus be consistent with themselves. To achieve objectivity, experts must focus only on the data and ignore irrelevant information, and thus be unbiasable by extraneous context. The analyses show that experts are not totally reliable nor are they unbiasable. These findings are based on fingerprint experts decision making, but because this domain is so well established, they apply equally well (if not more) to all other less established forensic domains.     

The impact of human-technology cooperation and distributed cognition in forensic science: biasing effects of AFIS contextual information on human experts

Experts play a critical role in forensic decision making, even when cognition is offloaded and distributed between human and machine. In this paper, we investigated the impact of using Automated Fingerprint Identification Systems (AFIS) on human decision makers. We provided 3680 AFIS lists (a total of 55,200 comparisons) to 23 latent fingerprint examiners as part of their normal casework. We manipulated the position of the matching print in the AFIS list. The data showed that latent fingerprint examiners were affected by the position of the matching print in terms of false exclusions and false inconclusives. Furthermore, the data showed that false identification errors were more likely at the top of the list and that such errors occurred even when the correct match was present further down the list. These effects need to be studied and considered carefully, so as to optimize human decision making when using technologies such as AFIS.