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The study aims at defining solvability at the cross‐roads of cybernetics and problem‐solving. The cases of solvability being focussed on are generated by intervention, and as a result, their approach encounters circular and undisciplinary solving problems. This is why definitions of the third‐order circularity and the undisciplinary framework are analytical and restrictive. The second part of the study is particularly concerned with the construction of an arguably cybernetic model of the solving process, and the formal requirements endorsing the research programme. Finally, far‐aiming conclusions are drawn referring to the epistemic consistency of the third‐order cybernetics and problem‐solving, in an attempt to unify these two, already converging, scientific endeavours.

The purpose of this scoping literature review was to identify and consolidate all available theories and methods for cold case homicide evaluation, solvability and priority ranking that would serve to guide a broader exploratory study and future research.

The paper presents the findings of a scoping literature review. The review forms part of a broader exploratory study. The scoping literature review sought to identify reported evidence from the extant literature in identifying and defining key concepts relevant to cold prioritisation. It also sought to identify any knowledge gaps relevant to the scoping review question.

The review suggested that internationally, there is a wide variance and inconsistency in the processes, methods and criteria used by policing agencies to evaluate and prioritise cold cases for investigation. Despite this, there were four themes that could be regarded as [parameters for future cold case research: cold case evaluation and review, prioritisation methods, solvability and prioritisation systems and tools. The review revealed several gaps in the literature. No papers could be found discussing the allocation of individual priority rankings based on any kind of weighted criteria system or model. Further, no information could be found in the available literature on any automated systems, online tools, algorithms, or applications utilised when evaluating or prioritising cases.

The research results are limited in that it is possible that relevant extant literature exists that was not discoverable using the scoping review search strategy.

The paper is a part of a broader exploratory study that seeks to develop a framework for cold case prioritisation that, in a time where public scrutiny has increased, has increased transparency with clearly articulated criteria for evaluation and process.

This paper assimilates the extant literature associated with cold case evaluation and prioritisation and presents a summary of themes and gaps in knowledge that informs future research.

The purpose of this paper is to contribute to the growing body of research literature on case clearance levels. Through a social artifact framework, the authors seek to understand the role that documentation of key solvability factors in investigative reports plays in shaping case clearance outcomes.

For this study, 166 non-fatal shooting investigative case files were obtained from a local mid-sized urban police department and coded to assess whether investigators identified key solvability characteristics for non-fatal shooting incidents. Using a logistic regression, the authors assessed the extent that investigative characteristics mentioned in case files were associated with the odds that the case was cleared by arrest.

The findings from this study indicate that investigative case files as a data source are exceedingly unreliable. Investigators do not consistently document investigative practices and intelligence. And those that are consistently documented are a part of institutionalized practices that are unique to their corresponding police department.

This study is original in that it uses a social artifact framework to sharpen the focus on the role that the effective documentation of critical evidence plays in leading to arrests in gun violence cases.

The purpose of this paper is to demonstrate a “maintenance pathway” for ensuring a low false negative rate in closing investigations unlikely to lead to a clearance (detection).

A randomised controlled experiment testing solvability factors for non-domestic cases of minor violence.

A random selection of 788 cases, of which 428 would have been screened out, were sent forward for full investigation. The number of cases actually detected was 22. A total of 19 of these were from the 360 recommended for allocation. This represents an improvement of accuracy over the original tests of the model three years earlier.

This study shows how the safety of an investigative triage tool can be checked on a continuous basis for accuracy in predicting the cases unlikely to be solved if referred for full investigations.

This safety check pathway means that many more cases can be closed after preliminary investigations, thus saving substantial time for working on cases more likely to yield a detection if sufficient time is put into the cases.

More offenders may be caught and brought to justice by using triage with a safety backstop for accurate forecasting.

This is the first published study of a maintenance pathway based on a random selection of cases that would otherwise not have been investigated. If widely applied, it could yield far greater time for police to pursue high-harm, serious violence.

Detective work is a mainstay of modern law enforcement, but its effectiveness has been much less evaluated than patrol work. To explore what is known about effective investigative practices and to identify evidence gaps, the authors assess the current state of empirical research on investigations.

The authors assess the empirical research about the effectiveness of criminal investigations and detective work in resolving cases and improving clearance rates.

The authors’ analysis of the literature produced 80 studies that focus on seven categories of investigations research, which include the impact that case and situational factors, demographic and neighborhood dynamics, organizational policies and practices, investigative effort, technology, patrol officers and community members have on case resolution. The authors’ assessment shows that evaluation research examining the effectiveness of various investigative activities is rare. However, the broader empirical literature indicates that a combination of organizational policies, investigative effort and certain technologies can be promising in improving investigative outcomes even in cases deemed less solvable.

From an evidence-based perspective, this review emphasizes the need for greater transparency, evaluation and accountability of investigative activities given the resources and importance afforded to criminal investigations.

This review is currently the most up-to-date review of the state of the research on what is known about effective investigative practices.

The purpose of this paper is to discuss the affective premises and economics of the influence of search engines on knowing and informing in the contemporary society.

A conceptual discussion of the affective premises and framings of the capitalist economics of knowing is presented.

The main proposition of this text is that the exploitation of affects is entwined in the competing market and emancipatory discourses and counter-discourses both as intentional interventions, and perhaps even more significantly, as unintentional influences that shape the ways of knowing in the peripheries of the regime that shape cultural constellations of their own. Affective capitalism bounds and frames our ways of knowing in ways that are difficult to anticipate and read even from the context of the regime itself.

In the relatively extensive discussion on the role of affects in the contemporary capitalism, influence of affects on knowing and their relation to search engine use has received little explicit attention so far.

Cold case review teams and the processes that they adopt in their endeavour to solve historic crimes are varied and largely underreported. Of the limited literature surrounding the topic of cold case reviews, the focus is on clearance rates and the selection of cases for review. While multiple reports and reviews have been undertaken and recommend that the interface between investigators and forensic scientists be improved, there is little evidence of cold case teams comprised of a mixture of investigators and scientists or experts. With the growing reliance on forensic science as an aide to solvability, the authors propose that the inclusion of forensic scientists to the central cold case investigation may be a critical factor in future success. The paper aims to discuss this issue.

To support the proposed approach, the authors conducted a review of the current literature seeking insight into the reported make-up of cold case teams. In conjunction with this, the authors reviewed a number of commissioned reports intended to improve cold case reviews and forensic services.

While many of the reviewed reports and recommendations suggested better integration with scientists and external expertise, little evidence of this in practice was reported within published literature. Open dialogue and cross pollination between police investigators and forensic scientists are likely to mitigate biases, inform case file triage and better equip investigations with contemporary and cutting-edge scientific solutions to the evidence analysis for cold cases. Furthermore, with respect to scientists within academia, large pools of resources by way of student interns or researchers may be available to assist resource-sparse policing jurisdictions.

To the authors’ knowledge, this is the first peer-reviewed recommendation for the consideration of integrated forensic scientists within a cold case review team. Multiple reports suggest the need for closer ties, but it is the anecdotal experience of the authors that the benefits of a blended task force approach may yield greater success.

The purpose of this paper is to develop a method for multiple soft fault diagnosis of nonlinear circuits including fault detection, identification of faulty elements and estimation of their values in real circumstances.

The method for fault diagnosis proposed here uses a measurement test leading to a system of nonlinear equations expressing the measured quantities in terms of the circuit parameters. Nonlinear functions, which appear in these equations are not given in explicit analytical form. The equations are solved using a homotopy concept. A key problem of the solvability of the equations is considered locally while tracing the solution path. Actual faults are selected on the basis of the observation that the probability of faults in fewer number of elements is greater than in a larger number of elements.

The results indicate that the method is an effective tool for testing nonlinear circuits including bipolar junction transistors and junction field effect transistors.

The homotopy method is generalized and associated with a restart procedure and a numerical algorithm for solving differential equations. Testable sets of elements are found using the singular value decomposition. The procedure for selecting faulty elements, based on the minimal fault number rule, is developed. The method comprises both theoretical and practical aspects of fault diagnosis.

Online production and transmission of child abuse material (CAM) is a complex and growing global problem. The exponential increase in the volume of CyberTips of CAM offending is placing information processing and decision-making strains on law enforcement. This paper presents the outcomes of a project that reviewed an existing risk assessment tool and then developed a new tool for CAM triaging and investigative prioritisation.

Using a mixed method approach, the authors first explored the capacity of an existing risk assessment tool for predicting a police action. The authors then used these findings to design and implement a replacement CAM decision support tool. Using a random sample of CyberTip alert cases from 2018, the authors then tested the efficiency of the new tool.

The existing risk assessment tool was not fit for CAM triaging purposes. Just six questions from the old tool were found to be statistically and significantly associated with law enforcement agents achieving a police action. The authors found that an immediate threat of abuse/endangering a child, potential case solvability, CAM image assessment, chat assessment, criticality and some weighting for professional judgement were significant in being associated with a police action. The new decision support tool is more efficient to complete and achieved a 93.6% convergence of risk ratings with the old tool using 2018 case data.

This research is unique in its development of an evidence-based decision support tool that enhances the ability of law enforcement agents to objectively and efficiently triage and prioritise increasing numbers of CyberTip alerts.

Purpose – The goal of this chapter is to assess the state of evidence examining and explaining trends and patterns in homicide clearances.

Design/methodology/approach – After reviewing the varying bodies of literature on homicide investigations and clearances, the author assesses the degree of support for the prevailing explanations of why some homicides are more likely to be solved than others. The author also use national data to evaluate several reasons for declining clearances.

Findings – Changes in the nature of homicide and deteriorating police–community relations are likely major contributors to declining clearance rates. The most consistent findings regarding patterns are the greater likelihood of clearance in homicides involving young children, contact weapons, residential locations, and killings not occurring in the course of another crime. Explanations relying on notions of victim devaluing generate the least support. There is considerable support for the legal factors approach and community-level explanations show promise. The findings regarding the role of forensic evidence are mixed. Smaller scale studies are beginning to help identify best practices for homicide investigations.

Originality/value – This chapter assesses several explanations for declining clearance rates and brings together divergent streams of research to summarize the current state of knowledge on homicide clearances, best practices in homicide investigations, and gaps to be filled by further studies.