There is an urgent need for better evidence-based interventions in mental health. High-quality randomised controlled trials in humans are often lacking, especially when dealing with complex situations or novel therapeutic targets. Other potentially useful data may be available, such as from early-phase trials, observational or mechanistic studies or animal experiments. Triangulation offers an opportunity to consider a wider variety of evidence together to prioritise future research directions, and ultimately to inform clinical decisions. Here we describe GATE (the GALENOS Approach to Triangulating Evidence). This is the methodology of triangulation, co-produced with people with lived experience, and applied as an integral part of the GALENOS project (Global Alliance for Living Evidence on aNxiety, depressiOn and pSychosis; https://www.galenos.org.uk/). We outline the considerations of triangulation in psychiatry and our experience to date in assessing animal and human data together, using triangulation to prioritise future research directions. With GATE at its core, GALENOS not only enables novel insights to emerge, but points us towards a future of collaborative research better equipped to examine the most pressing questions in mental health.

Despite general public support, efforts to build affordable housing often encounter stiff resistance due to “not in my backyard” (NIMBY) attitudes, which are often rooted in false or unsupported beliefs about affordable housing and its impacts on surrounding communities. Would correcting these misperceptions increase support for building affordable housing? To answer this question, we conducted a preregistered survey experiment measuring how support for affordable housing in the U.S. varies at different distances from where respondents live (one-eighth of a mile away, two miles away, or in their state). Our results indicate that correcting stereotypes about affordable housing and misperceptions about its effects increase support for affordable housing. Contrary to expectations, these effects are often larger for affordable housing near the respondent’s home (rather than at the state level), suggesting that debunking myths about affordable housing may help to counter NIMBY attitudes.

Conventional benefit–cost analysis is well-established and widely used to assess interventions designed to improve public health and welfare. While it has many advantages, it has well-known limitations. Chief among these is its inattention to the distributional equity of the impacts. To measure individual well-being, the conventional approach relies on individuals’ willingness to exchange their own income for the outcomes they experience. To measure societal welfare, it relies on simple aggregation of these values across individuals. This approach reflects a relatively narrow conception of welfare and ignores how impacts are distributed across advantaged and disadvantaged individuals. Social welfare analysis has been proposed as an alternative approach to address these limitations, but real-world applications are rare due largely to the complexity of the calculations. This article provides a pragmatic approach for conducting equity-sensitive benefit–cost analysis globally that addresses data limitations and other challenges, illustrated with example applications. It formally develops and implements equity weights that adjust for the decreasing marginal value of money and for additional moral considerations, prioritizing increases in welfare for those who are worse off.

Vaccines have revolutionised the field of medicine, eradicating and controlling many diseases. Recent pandemic vaccine successes have highlighted the accelerated pace of vaccine development and deployment. Leveraging this momentum, attention has shifted to cancer vaccines and personalised cancer vaccines, aimed at targeting individual tumour-specific abnormalities. The UK, now regarded for its vaccine capabilities, is an ideal nation for pioneering cancer vaccine trials. This article convened experts to share insights and approaches to navigate the challenges of cancer vaccine development with personalised or precision cancer vaccines, as well as fixed vaccines. Emphasising partnership and proactive strategies, this article outlines the ambition to harness national and local system capabilities in the UK; to work in collaboration with potential pharmaceutic partners; and to seize the opportunity to deliver the pace for rapid advances in cancer vaccine technology.

Pharmacy Benefit Managers (PBM) induce drug manufacturers to offer rebates to insurers and employers by denying coverage through formulary exclusions, impeding physician prescription through prior authorization, and reducing patient drug use through cost sharing. As they tighten these access obstacles, PBMs reduce the net prices received by the manufacturers.

We argue that the effectiveness of Rwandan governments, both at implementing the 1994 genocide and inducing the current growth miracle, illustrates that the state has high capacity. Yet this capacity is not captured by conventional Weberian concepts, with their focus on taxation and formal bureaucracy. Rather, the capacity of Rwanda's state relies on its ability to leverage dense social networks which connect it to society. The origins of these networks lie in the construction of the historical state which expanded by merging with local lineages and kinship groups. Using data on the historical expansion of the Rwandan state as a proxy for the strength of state–society social networks we show they are uncorrelated with measures of Weberian state capacity. In a fieldwork exercise, we show that rule compliance today is positively correlated with our proxy, but uncorrelated with Weberian state capacity.

We develop a theory of the accumulation of state capacity as the outcome of a political competition between elites and (civil) society. State capacity is accumulated by elites, and it is productive as well as useful in controlling society. However, society can fight back and accumulate its own capacity, facilitating collective action. The theory leads to three distinct equilibria depending on initial conditions. One type, a weak state, emerges when society is strong relative to the elite. Another, a despotic state, originates where the elite is initially relatively powerful. A third type, an inclusive state, emerges when the elite and society are more evenly matched. The theory has several important implications; first, variation in state capacity does not require large structural differences; second, inclusive states have the highest levels of state capacity in the long run; third, the effects of shocks or external threats like wars are conditional on the balance of power between elites and society.

Many economic analyses, including those that address the COVID-19 pandemic, focus on the value of averting deaths and do not include the value of averting nonfatal illnesses. Yet, incorporating the value of averting nonfatal cases may change conclusions about the desirability of the policy. While per case values may be small, the number of nonfatal cases is often large, far outstripping the number of fatal cases. The value of averting nonfatal cases is also increasingly important in evaluating COVID-19 policy options as vaccine- and infection-related immunity and treatments reduce the case-fatality rate. Unfortunately, little valuation research is available that explicitly addresses COVID-19 morbidity. We describe and implement an approach for approximating the value of averting nonfatal illnesses or injuries and apply it to COVID-19 in the USA. We estimate gains from averting COVID-19 morbidity of about 0.01 quality-adjusted life year (QALY) per mild case averted, 0.02 QALY per severe case, and 3.15 QALYs per critical case. These gains translate into monetary values of about $5300 per mild case, $11,000 per severe case, and $1.8 million per critical case. While these estimates are imprecise, they suggest the magnitude of the effects.

Six field experiments were conducted to investigate any interaction between pyroxasulfone and flumioxazin on soybean tolerance and control of multiple-herbicide-resistant (MHR) waterhemp in soybean during 2016 and 2017 in Ontario, Canada. There was a synergistic increase in soybean injury with the co-application of pyroxasulfone and flumioxazin at all rates evaluated at 2 wk after emergence (WAE), the two highest rates evaluated (134/106 and 268/211 g ai ha–1) at 4 WAE, and the highest rate (268/211 g ai ha–1) evaluated at 8 WAE. Soybean injury with all pyroxasulfone and flumioxazin treatments was transient and had no adverse effect on soybean grain yield. Pyroxasulfone applied preemergence at 45, 89, 134, and 268 g ai ha–1 controlled MHR waterhemp up to 72%, 89%, 92%, and 95%, respectively. Flumioxazin applied preemergence at 35, 70, 106, and 211 g ai ha–1 controlled MHR waterhemp up to 78%, 90%, 93%, and 96%, respectively. Pyroxasulfone/flumioxazin applied preemergence at 45/35, 89/70, 134/106, and 268/211 g ai ha–1 controlled MHR waterhemp up to 92%, 96%, 98%, and 100%, respectively. There were no significant antagonistic or synergistic interactions for the control of MHR waterhemp with pyroxasulfone/flumioxazin at rates evaluated except at 268/211 g ai ha–1, which provided a synergistic increase in MHR waterhemp control at 4 WAE. The MHR waterhemp biomass and density reductions followed a trend similar trend to visible control. Pyroxasulfone/flumioxazin at 268/211 g ai ha–1 caused a synergistic response in biomass reduction (9% difference). Based on these results, there is an additive increase in MHR waterhemp control and potential for a synergistic increase in soybean injury with the co-application of pyroxasulfone plus flumioxazin.

From 2014 to 2020, we compiled radiocarbon ages from the lower 48 states, creating a database of more than 100,000 archaeological, geological, and paleontological ages that will be freely available to researchers through the Canadian Archaeological Radiocarbon Database. Here, we discuss the process used to compile ages, general characteristics of the database, and lessons learned from this exercise in “big data” compilation.

Two studies were conducted to ascertain the biologically effective dose (BED) of flumioxazin and pyroxasulfone for multiple herbicide–resistant (MHR) waterhemp [Amaranthus tuberculatus (Moq.) Sauer] control in soybean [Glycine max (L.) Merr.] in southwestern Ontario, Canada, during 2016 and 2017. In the flumioxazin study, the predicted flumioxazin doses for 50%, 80%, and 90% MHR A. tuberculatus control were 19, 37, and 59 g ai ha−1 at 2 wk after application (WAA) and 31, 83, and 151 g ai ha−1, respectively, at 12 WAA. The predicted flumioxazin doses to cause 5% and 10% soybean injury were 129 and 404 g ai ha−1, respectively, at 2 wk after emergence (WAE), and the predicted flumioxazin doses to obtain 50%, 80%, and 95% of the weed-free control plot’s yield were determined to be 3, 14, and 65 g ai ha−1, respectively. In the pyroxasulfone study, the predicted pyroxasulfone doses that provided 50%, 80%, and 90% MHR A. tuberculatus visible control were 25, 50, and 88 g ai ha−1 at 2 WAA and 41, 109, and 274 g ai ha−1 at 12 WAA, respectively. The dose of pyroxasulfone predicted for 80% reduction in MHR A. tuberculatus density was 117 g ai ha−1, and the doses of pyroxasulfone predicted for 80% and 90% reduction in A. tuberculatus biomass were 204 and 382 g ai ha−1, respectively. The predicted doses of pyroxasulfone that caused 5% and 10% injury in soybean at 2 WAE were 585 and 698 g ai ha−1, respectively. The predicted doses of pyroxasulfone required to obtain 50%, 80%, and 95% yield relative to the weed-free plots were 6, 24, and 112 g ai ha−1, respectively. Flumioxazin and pyroxasulfone applied preemergence at the appropriate doses provided early-season MHR A. tuberculatus control in soybean.

The income elasticity of the value per statistical life (VSL) is an important parameter for policy analysis. Mortality risk reductions often dominate the quantified benefits of environmental and other policies, and estimates of their value are frequently transferred across countries with significantly different income levels. U.S. regulatory agencies typically assume that a 1.0 percent change in real income over time will lead to a 0.4 to 0.6 percent change in the VSL. While elasticities within this range are supported by substantial research, they appear nonsensical if applied to populations with significantly smaller incomes. When transferring values between high and lower income countries, analysts often instead assume an elasticity of 1.0, but the resulting VSL estimates appear large in comparison to income. Elasticities greater than 1.0 are supported by research on the relationship between long-term economic growth and the VSL, by cross-country comparisons, and by new research that estimates the VSL by income quantile. Caution is needed when applying these higher elasticities, however, because the resulting VSLs appear smaller than expected future earnings or consumption in some cases, contrary to theory. In addition to indicating the need for more research, this comparison suggests that, in the interim, VSL estimates should be bounded below by estimates of future income or consumption.

Existing theories of democratic reversals emphasize that elites mount actions like coups when democracy is particularly threatening to their interests. However, existing theory has been largely silent on the role of elite social networks, which interact with economic incentives and may facilitate antidemocratic collective action. We develop a model where coups generate rents for elites and show that the effort an elite puts into a coup is increasing in their network centrality. We empirically explore the model using an original dataset of Haitian elite networks that we linked to firm-level data. We show that central families were more likely to be accused of participating in the 1991 coup against the democratic Aristide government. We then find that the retail prices of staple goods that are imported by such elites differentially increase during subsequent periods of nondemocracy. Our results suggest that elite social structure is an important factor in democratic reversals.

In April 2019, the U.S. Fish and Wildlife Service (USFWS) released its recovery plan for the jaguar Panthera onca after several decades of discussion, litigation and controversy about the status of the species in the USA. The USFWS estimated that potential habitat, south of the Interstate-10 highway in Arizona and New Mexico, had a carrying capacity of c. six jaguars, and so focused its recovery programme on areas south of the USA–Mexico border. Here we present a systematic review of the modelling and assessment efforts over the last 25 years, with a focus on areas north of Interstate-10 in Arizona and New Mexico, outside the recovery unit considered by the USFWS. Despite differences in data inputs, methods, and analytical extent, the nine previous studies found support for potential suitable jaguar habitat in the central mountain ranges of Arizona and New Mexico. Applying slightly modified versions of the USFWS model and recalculating an Arizona-focused model over both states provided additional confirmation. Extending the area of consideration also substantially raised the carrying capacity of habitats in Arizona and New Mexico, from six to 90 or 151 adult jaguars, using the modified USFWS models. This review demonstrates the crucial ways in which choosing the extent of analysis influences the conclusions of a conservation plan. More importantly, it opens a new opportunity for jaguar conservation in North America that could help address threats from habitat losses, climate change and border infrastructure.

It is a cliché of self-help advice that there are no problems, only opportunities. The rationale and actions of the BSHS in creating its Global Digital History of Science Festival may be a rare genuine confirmation of this mantra. The global COVID-19 pandemic of 2020 meant that the society's usual annual conference – like everyone else's – had to be cancelled. Once the society decided to go digital, we had a hundred days to organize and deliver our first online festival. In the hope that this will help, inspire and warn colleagues around the world who are also trying to move online, we here detail the considerations, conversations and thinking behind the organizing team's decisions.