This study gauges Finnish people’s knowledge about pensions and their trust in the pension system. A further aim is to see if knowledge and trust are related and to explore the role of sociodemographic factors in that relationship. We examine both self-assessed and objective knowledge of pension system details and look at how age, gender, education, income, and socioeconomic status are reflected in pension knowledge and trust. The results reveal that the relationship between pension knowledge and trust is driven by sociodemographic factors. However, for those with a primary education, there is a positive association between pension knowledge and trust.

Experiments in engineering are typically conducted in controlled environments where parameters can be set to any desired value. This assumes that the same applies in a real-world setting, which is often incorrect as many experiments are influenced by uncontrollable environmental conditions such as temperature, humidity, and wind speed. When optimizing such experiments, the focus should be on finding optimal values conditionally on these uncontrollable variables. This article extends Bayesian optimization to the optimization of systems in changing environments that include controllable and uncontrollable parameters. The extension fits a global surrogate model over all controllable and environmental variables but optimizes only the controllable parameters conditional on measurements of the uncontrollable variables. The method is validated on two synthetic test functions, and the effects of the noise level, the number of environmental parameters, the parameter fluctuation, the variability of the uncontrollable parameters, and the effective domain size are investigated. ENVBO, the proposed algorithm from this investigation, is applied to a wind farm simulator with eight controllable and one environmental parameter. ENVBO finds solutions for the entire domain of the environmental variable that outperform results from optimization algorithms that only focus on a fixed environmental value in all but one case while using a fraction of their evaluation budget. This makes the proposed approach very sample-efficient and cost-effective. An off-the-shelf open-source version of ENVBO is available via the NUBO Python package.

Areas around western Vestfold Hills, East Antarctica, feature two sedimentary units in outcrops and excavations. Uppermost Dingle Sand is a gravelly, silty sand with boulders, which drapes bedrock ridges and more thickly covers valley floors and continues below modern sea level. Underlying Vestfold Beds are gravelly, muddy sands that are found in deeper valley fills. High-resolution aerial photography, topographic and bathymetric surveys, sediment grain size and field observations indicate that Dingle Sand formed as ablation till during the last deglaciation. Post-depositional modifications of Dingle Sand by decay of ground ice, mass movement, water, wind and marine transgression and regression have altered the texture, structure and fossil content in this region. Vestfold Beds are older, finer-grained tills. Indirect age estimation of Dingle Sand suggests deglaciation-age deposition with younger (Holocene) reworking in places, whereas Vestfold Beds may be as old as the Pliocene. These sediments post-date the early Pliocene Sørsdal Formation found on Marine Plain in southern Vestfold Hills. Identification of Dingle Sand as a separate, primarily glacial deposit helps clarify the glacial history of the Vestfold Hills. Evidence for marine modification of the deposits after deglaciation suggests that other regions might also have glacial deposits interpreted as marine because of post-depositional processes.

This article highlights the importance of European scientists, particularly in the social sciences and humanities, in shaping global research policies through active advocacy in science policy. The European Union (EU) is a significant transnational research funder, largely through its multiannual Framework Programmes, such as Horizon Europe (2020–2027), which support collaboration between researchers worldwide. This funding drives innovation and societal benefit, influencing global standards on topics like sustainability, cultural heritage, and data protection. The EU’s openness to consultation makes it unique compared to countries like the United States and China, where funding decisions are decided top-down by governments and policymakers. Thus, European humanities and social science researchers have a unique opportunity to shape the political research agenda. To strengthen this advocacy, three practical steps await researchers: (1) understand national research narratives, (2) ensure research impacts policymaking, and (3) support international research organisations.

Theories of international relations (IR) typically make predictions intended to hold across many countries, yet existing experimental evidence testing their micro-foundations relies overwhelmingly on studies fielded in the United States. We argue that the broad nature of many IR theories makes it especially important to evaluate the extent to which their predictions hold across countries. To examine the generalizability of IR experimental findings beyond the US, we implemented a preregistered and harmonized multisite replication study, fielding four prominent IR experiments across a diverse set of seven democracies: Brazil, Germany, India, Israel, Japan, Nigeria, and the US. We find high levels of generalizability across all four experiments, a pattern further analysis suggests is due to limited treatment effect heterogeneity. Our findings and approach offer important empirical and methodological insights for the design and interpretation of future experimental research in IR.

Last year saw yet another year of weather extremes. The Copernicus Climate Change Service run by the European Centre for Medium-Range Weather Forecasts on behalf of the European Commission (Copernicus, 2024) measured 2023 as being globally the warmest year since records began in 1850. This was by a large margin (0.17 per cent) over the previous record in 2016, with global surface air temperature at nearly 1.5°C above pre-industrial levels. While last year’s observations embodied an El Niño effect, which every few years sees temperatures affected by warmer waters coming to the surface of the tropical eastern Pacific Ocean, changes and anomalies consistently observed over the last few years across the globe are becoming more pronounced. What is commonly labelled “climate change” is turning into a global climate emergency. No economy or society are immune to its effects. Today, we see the global average temperature at over 1.1°C above pre-industrial levels, a rise that has been extraordinarily rapid on a planetary timescale, and one that has been primarily caused through our (humans) burning fossil fuels. Nearly a decade has passed since the United Nations’ Climate Change Conference in 2015, COP21, where 196 nations adopted The Paris Agreement – a legally binding international treaty on climate change. Its goal was to hold “the increase in the global average temperature to well below 2°C above pre-industrial levels” and to pursue efforts “to limit the increase to 1.5°C”.

Based on monthly panel data from 2014 to 2020 and employing the staggered difference-in-differences (staggered DID) method, we examine the impact of environmental vertical management reform on data manipulation in the public sector. We reveal that environmental vertical management reform significantly reduces data manipulation in the public sector. Moderating effect analysis shows that economic growth targets weaken the inhibitory impact of this reform. Conversely, public environmental concerns could enhance the inhibitory impact of this reform on data manipulation. Mechanism analysis reveals that environmental vertical management reform works through strengthening grassroots environmental law enforcement. The increased independence of law-enforcing departments has reduced the tendency of local governments to engage in data manipulation.

In an era of globalized research endeavors, the interplay between government funding programs, funding decisions, and their influence on successful research collaborations and grant application success rates has emerged as a critical focus of inquiry. This study embarks on an in-depth analysis of cross-country funding dynamics over the past three decades, with a specific emphasis on support for academic-industry collaboration versus sole academic or industry funding. Drawing insights from comprehensive datasets and policy trends, our research illuminates the evolving landscape of research funding and collaboration policies. We examine funding by Innosuisse (Swiss Innovation Project Funding) and SBIR (US Small Business Innovation Research), exploring the rates of future grant success for both academic and industry partners. We find strong evidence of rich-get-richer phenomenon in the Innosuisse program for both academic partners and industry partners in terms of winning future grants. For SBIR we find weaker levels of continued funding to the same partners with most attaining at most a few grants. With the increasing prevalence of academic-industry collaborations among both funders, it is worth considering additional efforts to ensure that novel ideas and new individuals and teams are supported.

Categorization plays a crucial role in organizing experiences, allowing us to make sense of the world. This process is reflected in the labels speakers use for geographical areas. This study investigates the categorization of geographical areas reflected in phrases including nouns for the three Swedish regions of Norrland, Svealand, or Götaland, and the conjunction och (‘and’). Using data from the Swedish Korp corpus (Borin et al. 2012), we examine how these regions and areas within them are represented in governmental, news, and social media texts. Results show that Svealand and Götaland are more commonly used with nouns for regions than Norrland. Norrland is used with phrases for more specific locations within the other regions (e.g. their towns and provinces) but also considerably larger areas (e.g. countries and continents) more commonly than the other regions, revealing asymmetry in how geographical areas in Sweden are categorized.

What would the ‘sharing economy’ look like if platform providers optimised for racial and other forms of diversity? This article considers that question. Following the Introduction, Part 2 of this article reviews the widespread nature of race and other forms of discrimination in platform technologies. Part 3 uses core strands of property theory to analyse the ways in which racial privilege translates into property entitlements. Part 4 discusses a range of reforms within property law that can contribute to eliminating the value – and ultimately the fact – of whiteness as a property entitlement in the platform economy.

An optical spectrometer system based on 60 channels of fibers has been designed and employed to diagnose light emissions from laser–plasma interactions. The 60 fiber collectors cover an integrated solid angle of $\pi$, enabling the measurement of global energy losses in a symmetrical configuration. A detecting spectral range from ultraviolet to near-infrared, with angular distribution, allows for the understanding of the physical mechanisms involving various plasma modes. Experimental measurements of scattered lights from a conical implosion driven by high-energy nanosecond laser beams at the Shenguang-II Upgrade facility have been demonstrated, serving as reliable diagnostics to characterize laser absorption and energy losses from laser–plasma instabilities. This compact diagnostic system can provide comprehensive insights into laser energy coupling in direct-drive inertial confinement fusion research, which are essential for studying the driving asymmetry and improving the implosion efficiencies.

The central role of economic elites in shaping public policy in Latin America has become increasingly clear. Yet most of the recent literature on the subject focuses on democratic contexts. This paper analyses pension privatisation in Chile as a case study for improving our understanding of business–state interaction in authoritarian contexts. Globally, the 1981 pension reform carried out during the Pinochet dictatorship became an example for pension privatisation elsewhere. Analysis of the policy-making process, based on novel empirical material, shows that from 1973 financial groups accumulated growing power which enabled them to first (a) defeat their opponents within the economic elite, (b) overpower their rivals within the state and, finally, (c) force Pinochet into passing pension privatisation legislation. Our results stress the need to include the study of different actors’ power resources – along with ideological issues and the regime structure – in attempts to understand the outcome of policy processes in authoritarian contexts.

We study two continuous-time Stackelberg games between a life insurance buyer and seller over a random time horizon. The buyer invests in a risky asset and purchases life insurance, and she maximizes a mean-variance criterion applied to her wealth at death. The seller chooses the insurance premium rate to maximize its expected wealth at the buyer’s random time of death. We consider two life insurance games: one with term life insurance and the other with whole life insurance—the latter with pre-commitment of the constant investment strategy. In the term life insurance game, the buyer chooses her life insurance death benefit and investment strategy continuously from a time-consistent perspective. We find the buyer’s equilibrium control strategy explicitly, along with her value function, for the term life insurance game by solving the extended Hamilton–Jacobi–Bellman equations. By contrast, in the whole life insurance game, the buyer pre-commits to a constant life insurance death benefit and a constant amount to invest in the risky asset. To solve the whole life insurance problem, we first obtain the buyer’s objective function and then we maximize that objective function over constant controls. Under both models, the seller maximizes its expected wealth at the buyer’s time of death, and we use the resulting optimal life insurance premia to find the Stackelberg equilibria of the two life insurance games. We also analyze the effects of the parameters on the Stackelberg equilibria, and we present some numerical examples to illustrate our results.

Retaining operational effectiveness in a low-carbon world will require military innovation and change. Indeed, there has been growing acknowledgement within some defence ministries that as the world decarbonises a military energy transition is essential. In this paper, we illustrate how calls for a military energy transition have gained renewed traction within the UK Ministry of Defence (MoD) since 2018. Empirically, we draw on semi-structured interviews with 46 officials and armed forces personnel, conducted by the authors between June and October 2023. To structure our analysis, we adopt a multilevel perspective (MLP) from the field of Sustainability Transitions. Combining the MLP with insights from the literature on military innovation, we shed light on the ways proponents of ‘low-carbon warfare’ have challenged the ‘high-carbon’ sociotechnical regime that currently dominates the MoD. We also explain why more rapid and disruptive change has been stymied. By centring attention on the extent of ‘alignment’ between internal and external sources of change, our MLP makes a valuable contribution to understanding why the struggle for military change often unfolds in non-linear ways.