The decisions made by horse owners on behalf of their animal, including decisions to involve a veterinarian, play an important role in the management of pain. This study explored horse owners’ experiences to understand how they conceptualised chronic pain within the context of their horse-human relationship, what led them to seek veterinary involvement, and how veterinary interactions shaped their perceptions of pain and its management. An ethnographic approach using constructivist grounded theory methods was adopted. This paper draws upon field notes generated through 200 h of observation undertaken within four veterinary practices in the UK, as well as interviews with horse owners and carers. Analysis identified that owners’ understandings of pain-related issues of their horse were based upon knowledge of what was normal for their animal, and deviation from this norm. Horse behaviours were ascribed meaning by owners in light of contextual factors, in turn affecting owners’ perceptions of pain. While pain could factor into decisions to initiate a veterinary consultation, it was generally not the specific reason owners presented their animal. Veterinarians’ approaches to identifying and treating painful problems played a role in the formulation of owners’ understanding of their horse’s behaviour. Interactions had implications not only for treatment opportunities, but for perceptions of veterinary expertise. This study highlights the context-specific nature through which pain recognition and decisions regarding a horse’s treatment arise. It highlights the drivers of human decision-making and offers potential avenues to support human behaviour change and improve horse welfare.

Digital Twinning (DT) has become a main instrument for Industry 4.0 and the digital transformation of manufacturing and industrial processes. In this statement paper, we elaborate on the potential of DT as a valuable tool in support of the management of intelligent infrastructures throughout all stages of their life cycle. We highlight the associated needs, opportunities, and challenges and discuss the needs from both the research and applied perspectives. We elucidate the transformative impact of digital twin applications for strategic decision-making, discussing its potential for situation awareness, as well as enhancement of system resilience, with a particular focus on applications that necessitate efficient, and often real-time, or near real-time, diagnostic and prognostic processes. In doing so, we elaborate on the separate classes of DT, ranging from simple images of a system, all the way to interactive replicas that are continually updated to reflect a monitored system at hand. We root our approach in the adoption of hybrid modeling as a seminal tool for facilitating twinning applications. Hybrid modeling refers to the synergistic use of data with models that carry engineering or empirical intuition on the system behavior. We postulate that modern infrastructures can be viewed as cyber-physical systems comprising, on the one hand, an array of heterogeneous data of diversified granularity and, on the other, a model (analytical, numerical, or other) that carries information on the system behavior. We therefore propose hybrid digital twins (HDT) as the main enabler of smart and resilient infrastructures.

An abundance of statistics has shown gender disparity in hiring decisions. This paper shows that a previously unexplored factor, the decision-making process utilized by a hiring committee, plays a crucial role. Using a laboratory experiment, we find that gender disparity is eliminated when hiring decisions are made unanimously by a group. By comparison, we find that gender disparity is largest when decisions are made by a leader who volunteers. We do not find evidence of heterogeneity by gender as the results persist regardless of the number of women in the group or the leader’s gender. The experimental design allows us to rule out several possible mechanisms including differences in leadership characteristics and communication styles.

People’s decisions may change when made in a foreign language (FL). Research testing this foreign language effect (FLE) has mostly used scenarios where uncertainty is expunged or reduced to a form of risk, whereas real-life decisions are usually characterized by uncertainty around outcome likelihood. In the current work, we aimed to investigate whether the FLE on decision-making extends to uncertain scenarios. Moreover, as it is still unclear what linguistic and psychological factors contribute to the FLE, we tested the effects of participants’ FL background, cognitive style and risk-taking attitude on decision processes under certain and uncertain conditions. Overall, we report null effects of language context (native versus foreign language) and problem condition (certain versus uncertain prospects) on participants’ choices. In addition, we found that both FL background and decision makers’ traits modulated participants’ choices in a FL, without emerging into the ‘classic’ FLE on decision-making. However, the direction of such effects was complex, and not always compatible with previous FLE theories. In light of these results, our study highlights the need to reconceptualize the FLE and its implications on decision-making.

The global population is ageing rapidly, emphasising the need to understand the decision-making processes of older adults regarding potential care transitions. Gerontological research has focused on healthcare decisions, with less information on living situation choices of older adults. This review explored older adults’ experiences with their involvement in decision-making processes related to transitioning into care facilities in the United Kingdom. From a systematic search of articles, nine were reviewed using thematic narrative synthesis. Four themes with nine subthemes were identified: Involvement in decision-making (Exclusion of older adults, Usefulness of involvement), The necessity of moving (Triggers for moves, The role of family), Timely planning (Helpfulness of planning, Planning avoidance), and Factors for choosing a care home (Non-quality factors, Quality factors, Continuity of life). These themes highlighted the issue of inadequate involvement of older adults in decision-making, often resulting in negative consequences like regret and difficulty settling into new care settings. The necessity of moving arose from sudden events or increased support needs. Some older adults acknowledged the necessity due to declining health or to spare family burden, while relatives grappled emotionally, postponing the choice. Timely planning was found to be beneficial practically and emotionally, facilitating smoother transitions. However, participants would rarely plan and discuss such matters early. Older adults focused on personal experiences and trusted sources rather than publicly available information when considering Factors for choosing a care home. The findings show the need for greater inclusion of older adults in decisions related to their care and the importance of early planning and providing preferred types and formats of information to aid decisions. Future research should focus on a better understanding of older adults’ preferences for successful involvement in care decisions, with support and guidance for others involved in the decisions.

Following the large-scale Russian invasion in February 2022, policymakers and humanitarian actors urgently sought to anticipate displacement flows within Ukraine. However, existing internal displacement data systems had not been adapted to contexts as dynamic as a full-fledged war marked by uneven trigger events. A year and a half later, policymakers and practitioners continue to seek forecasts, needing to anticipate how many internally displaced persons (IDPs) can be expected to return to their areas of origin and how many will choose to stay and seek a durable solution in their place of displacement. This article presents a case study of an anticipatory approach deployed by the International Organization for Migration (IOM) Mission in Ukraine since March 2022, delivering nationwide displacement figures less than 3 weeks following the invasion alongside near real-time data on mobility intentions as well as key data anticipating the timing, direction, and volume of future flows and needs related to IDP return and (re)integration. The authors review pre-existing mobility forecasting approaches, then discuss practical experiences with mobility prediction applications in the Ukraine response using the Ukraine General Population Survey (GPS), including in program and policy design related to facilitating durable solutions to displacement. The authors focus on the usability and ethics of the approach, already considered for replication in other displacement contexts.

Scholars have identified several temporal challenges in foreign policymaking, such as variable time horizons and maintaining commitment or resolve over time. While the behavioural turn has emphasised leaders and their subjective perceptions, research often relies on rationalist conceptions of objective and linear time and struggles to assess leaders’ subjective perceptions of it. This paper theorises time as an intrinsic aspect of narrative reasoning in foreign policy, introducing a ‘temporal definition of the situation’ (TDoS) framework to capture leaders’ situation-specific subjective time perceptions. I then operationalise the TDoS framework’s key temporal features and show how it can be empirically examined. The value of the TDoS is illustrated by assessing the temporal perceptions of Bush and Obama regarding Iran’s nuclear programme, showing how their distinct definitions of the foreign policy situation shaped their subjective time perceptions and their corresponding responses. I conclude by discussing how this advancement can enhance behavioural research, provide insights into the ‘why now?’ questions surrounding leaders’ actions, and challenge existing understandings of time’s impact on foreign policymaking.

Translating emerging health technologies towards adoption and patient benefit requires timely and effective research and development decisions. Early health technology assessment has a key role to play in supporting these decisions. A new consensus definition of early health technology assessment is a welcome contribution to help bring these activities toward wider use in the field. In parallel, the opportunities to perform early health technology assessment activities are increasing as new types of health technologies begin to enter healthcare systems globally. A greater focus on transparency of reporting, improving awareness around how early health technology assessment can impact decision-making, increased resourcing for these activities, expanding training for analysts, and encouraging collaboration between individuals across healthcare systems will be vital to strengthen the uptake of early health technology assessment from this point forward.