This article explores how the risk structure currently adopted by the sharing economy, in particular the highly formalised and contrived systems of contract constructed by platforms, is largely constituted by the rules of property law. This effectively ties sharing activities to the old model of private property and its accompanying boundaries of privatised risk and value and undermines the efforts of collaboration to supersede those boundaries through peer-to-peer co-production of value. This article aims towards presenting an alternative model of risk distribution for the sharing economy that is more reflective of its collaborative nature. To this end, I will draw on ideas from commons and mutualism and propose the possibility of creative use of contracts to stipulate positive duties and obligations between collaborative partners as a device to construct a collective and/or mutual risk system.

There is a need to utilise formal education to ensure and support the effective participation of communities in the disaster risk management process. The negative outcomes of disasters occurring as a result of various disasters in Turkiye show that the society is inadequately prepared. Therefore, the best fight against disasters can be carried out within the scope of formal education activities. In this study, the content and infrastructure of a curriculum for the management of disaster risks at the university level is presented at the conceptual level. Disaster literacy curriculum can contribute to the management of current and future disaster risks. However, there is a need to expand the implementation and measurement of the effectiveness and feasibility of the curriculum as a public health intervention tool. Finally, the support of the national education system needs to be ensured.

The large volume of seemingly conflicting guidance on the management of borderline personality disorder (BPD), combined with the ongoing shortage of specialised resources, can make the task feel like an exclusive undertaking that the general psychiatrist is underprepared for. In this article, we distil current evidence to submit that sound psychiatric management principles used to treat all serious and enduring mental disorders (diagnostics, comorbidity management, rational pharmacotherapy and dynamic risk management) are readily applicable and particularly therapeutic for BPD. We offer actionable practice guidance that we hope will render the clinical management experience a more lucid and rewarding one for both practitioner and patient.

Scientific consensus links dietary choices to health outcomes, highlighting the urgency to prioritise healthy food production in food systems. At the EU level, however, defining healthy food and integrating it into food governance remains a challenge, particularly regarding the inclusion of health-related characteristics in food safety assessments. While the EU primarily relies on the risk analysis principle to address food safety concerns, the process still exhibits weaknesses that hinder its direct impact on fostering a healthier food production landscape. This review demonstrates how the risk analysis process, particularly scientific opinions in risk assessment and external factors (economic and political) in risk management, impact food governance and the healthiness of food systems. We find that while external factors play a crucial role in risk management decisions by incorporating non-food safety considerations, they often stem from an imbalance of power favouring major industry and political stakeholders. This imbalance disproportionately influences decision-making, often overshadowing nutritional and health aspects. To address these challenges, we recommend directing research towards filling knowledge gaps and exploring minority scientific findings, and separating external factors from risk management’s decision-making process, to ensure that food governance prioritises public health and healthy food production.

The increased complexity of development projects surpass the capabilities of existing methods. While Model Based Systems Engineering pursues technically holistic approaches to realize complex products, aspects of organization as well as risk management, are still considered separately. The identification and management of risks are crucial in order to take suitable measures to minimize adverse effects on the project or the organization. To counter this, a new graph-based method and tool using AI, tailored to the needs of complex development projects and organizations is introduced here.

Collaborative robots (cobots) allow for flexible manufacturing, supporting more customised product designs. Although safety is key for socio-technical human-cobot workplaces, existing safety assessment support like standards and guidelines require extensive experience and can be experienced as overwhelming. To make cobot risk assessments more accessible, especially for novices, and increase traceability from hazard to risk to mitigation, this paper presents a matrix-based approach that decomposes this daunting activity into smaller better manageable steps.

The calculation of life and health insurance liabilities is based on assumptions about mortality and disability rates, and insurance companies face systematic insurance risks if assumptions about these rates change. In this paper, we study how to manage systematic insurance risks in a multi-state setup by considering securities linked to the transition intensities of the model. We assume there exists a market for trading two securities linked to, for instance, mortality and disability rates, the de-risking option and the de-risking swap, and we describe the optimization problem to find the de-risking strategy that minimizes systematic insurance risks in a multi-state setup. We develop a numerical example based on the disability model, and the results imply that systematic insurance risks significantly decrease when implementing de-risking strategies.