The United Nations Guiding Principles on Business and Human Rights conceive of human rights due diligence (HRDD) as covering potential impacts across value chains, including downstream. The proposed EU Corporate Sustainability Due Diligence Directive and the revision process of the OECD Guidelines for Multinational Enterprises have sparked renewed discussion on how and whether companies should conduct HRDD downstream to identify and prevent or mitigate adverse human rights impacts. Whilst some debate has occurred previously on downstream HRDD, this has predominantly centred on specific sectors, products and services where the links to egregious human rights harms may be more readily identifiable. This piece seeks to inform the current debate by broadening the examples of sectors, products and services and current business practice which demonstrate the critical need for, and ability of, companies to consider human rights risks downstream.

Maritime cybersecurity has attracted increasing attention in industrial and academic scope, which may be relevant to the increasing cyber-incidents in the maritime shipping industry. This paper presents a critical review of publications related to cybersecurity in the maritime transportation industry, to explore the current research status and gaps, as wells as to guide new probe avenues by employing bibliometric approaches. With the advantage of bibliometric methods, the research focus and evolution are conformed and visualised. Representative papers are reviewed together to demonstrate maritime cyber-threats recognition and categories, as well as potential consequence assessment and risk mitigation actions recommendation. This paper also created a detailed database that is comprised of attack form, occurring time, targets, purpose, as well as potential results and cost, which has been included in the Appendix and is fully portable and extendible.

In this paper we propose a general framework for modeling an insurance liability cash flow in continuous time, by generalizing the reduced-form framework for credit risk and life insurance. In particular, we assume a nontrivial dependence structure between the reference filtration and the insurance internal filtration. We apply these results for pricing and hedging non-life insurance liabilities in hybrid financial and insurance markets, while taking into account the role of inflation under the benchmarked risk-minimization approach. This framework offers at the same time a general and flexible structure, and an explicit and treatable pricing-hedging formula.

Chronic diseases and preexisting conditions shape daily life for many archaeologists both in and out of the field. Chronic issues, however, can be overlooked in safety planning, which more often focuses on emergency situations because they are considered mundane, or they are imperceptible to project directors and crews until a serious problem arises. This article focuses on asthma, diabetes, and depression as common medical conditions that impact otherwise healthy archaeologists during fieldwork, with the goal of raising awareness of these conditions in particular, and the need to be more attentive to chronic diseases in general. Archaeological fieldwork presents novel situations that put those with chronic diseases and preexisting conditions at risk: environmental hazards, remoteness from medical and social resources and networks, lack of group awareness, and varying cultural norms. As a result, if chronic diseases are not attended to properly in the field, they can lead to life-threatening situations. Managing the risk presented by these conditions requires a group culture where team members are aware of issues, as appropriate, and collaborate to mitigate them during fieldwork. Descriptions of how chronic diseases affect archaeologists in the field are followed by “best practice” recommendations for self-management and for group leaders.

Eligibility criteria for participation in mental health jail diversion programs often specify that, to be diverted, a candidate must not pose a level of threat to public safety that cannot be managed in the community. Risk assessment tools were developed to increase consistency and accuracy in estimates of threat to public safety. Consequently, risk assessment tools are being used in many jurisdictions to inform decisions regarding an individual’s appropriateness and eligibility for mental health jail diversion and the strategies that may be successful in mitigating risk in this context. However, their use is not without controversy. Questions have been raised regarding the validity and equity of their estimates, as well as the impact of their use on criminal justice outcomes. The purpose of this review is to provide an overview of the science and practice of risk assessment to inform decisions and case planning in the context of mental health jail diversion programs. Our specific aims include: (1) to describe the process and components of risk assessment, including differentiating between different approaches to risk assessment, and (2) to consider the use of risk assessment tools in mental health jail diversion programs. We anchor this review in relevant theory and extant research, noting current controversies or debates and areas for future research. Overall, there is strong theoretical justification and empirical evidence from other criminal justice contexts; however, the body of research on the use of risk assessment tools in mental health jail diversion programs, although promising, is relatively nascent.

In insurance analytics, textual descriptions of claims are often discarded, because traditional empirical analyses require numeric descriptor variables. This paper demonstrates how textual data can be easily used in insurance analytics. Using the concept of word similarities, we illustrate how to extract variables from text and incorporate them into claims analyses using standard generalized linear model or generalized additive regression model. This procedure is applied to the Wisconsin Local Government Property Insurance Fund (LGPIF) data, in order to demonstrate how insurance claims management and risk mitigation procedures can be improved. We illustrate two applications. First, we show how the claims classification problem can be solved using textual information. Second, we analyze the relationship between risk metrics and the probability of large losses. We obtain good results for both applications, where short textual descriptions of insurance claims are used for the extraction of features.

Antimicrobial use in pig farming is influenced by a range of risk factors, including herd characteristics, biosecurity level, farm performance, occurrence of clinical signs and vaccination scheme, as well as farmers’ attitudes and habits towards antimicrobial use. So far, the effect of these risk factors has been explored separately. Using an innovative method called multiblock partial least-squares regression, this study aimed to investigate, in a sample of 207 farrow-to-finish farms from Belgium, France, Germany and Sweden, the relative importance of the six above mentioned categories or ‘blocks’ of risk factors for antimicrobial use in pig production. Four country separate models were developed; they showed that all six blocks provided useful contribution to explaining antimicrobial use in at least one country. The occurrence of clinical signs, especially of respiratory and nervous diseases in fatteners, was one of the largest contributing blocks in all four countries, whereas the effect of the other blocks differed between countries. In terms of risk management, it suggests that a holistic and country-specific mitigation strategy is likely to be more effective. However, further research is needed to validate our findings in larger and more representative samples, as well as in other countries.

The lack of attention to basic safety and security standards by the humanitarian community is endemic. The tragic bombing and loss of life of the United Nations Assistance Mission in Iraq in 2003 is but one of many unfortunate examples; these incidents are increasing in number. Tools for establishing an organizational security framework are readily available. Capacity to implement this framework requires understanding the culture of safety and security and individual and organizational leadership. This report outlines the essential steps and components necessary to meet this requirement.

MacphersonR, Burkle FM Jr. Neglect and Failures of Human Security in Humanitarian Settings: Challenges and Recommendations. Prehosp Disaster Med. 2013;28(2):1-5.

The focus of this paper is the identification, and more importantly, sustainable management, of risks embedded in guarantees attaching to unit linked savings and retirement contracts (as commonly referred to as GMxBs). In developing customer centric guarantees that are not readily transferrable to the capital markets, insurance undertakings require the skills and resources to hedge the guarantees within their own balance sheet (or with a temporary use of packaged solutions such as reinsurance). In taking on the guarantee manufacture task insurers are departing from areas of historic competence and need to develop a comprehensive understanding of all elements of market risk replication. These include both first order market exposures as well as the material second order risks associated with market micro structure. The paper seeks to integrate this comprehensive analysis within a practitioner focused framework and concludes with a senior executive summary of “Seven key considerations in successful guarantee manufacture”.

During the course of its development for military use and more recent extension to many civilian uses, vulnerabilities of Global Navigation Satellite Systems (GNSS) – in the United States the Global Positioning System (GPS) – have become apparent. The vulnerabilities arise from natural, intentional, and unintentional sources. Increasing civilian and military reliance on GNSS brings with it a vital need to identify the critical vulnerabilities to civilian users, and to develop a plan to mitigate these vulnerabilities. This paper summarizes the findings of the U.S. Department of Transportation (DOT) vulnerability study that addresses these issues. The key findings are that satellite navigation users are vulnerable to several classes of disruption that affect all transportation modes and related infrastructure; but also that the vulnerabilities can be mitigated by awareness, planning, and using independent backup systems and/or alternate procedures in safety-critical applications. To gain the full benefits of GNSS, it will be necessary to analyse safety-of-life vulnerabilities in detail, and to determine the means and costs of reducing these risks to acceptable levels. The complete assessment report, of which this paper is a synopsis, was released to the public on September 10, 2001. Although the basic findings apply to all GNSS, the assessment focused on the GPS, in response to the enabling Presidential Decision Directive.