Politicisation of Science in the Process of Dealing with Manufactured Risk

Politicisation of Science in the Process of Dealing with Manufactured RiskAn Interdisciplinary Case StudyA key feature of modern society is the emergence of new characteristics of risks, which have been conceptualized by U. Beck as ‘manufactured risk’.1 Whereas in the past, risks principally consisted of natural hazards, which were limited in both time and space, manufactured risks are man-made, have a global effect, are potentially catastrophic, and can only be assessed speculatively. The global dimension of these risks has rendered apparent the latent divergence in the conceptions of risks that exist among different nations and regulatory regimes, thus resulting in tensions at and between national, regional, and international levels. One of the entities where these conflicts are most visible is the World Trade Organisation’s (WTO) dispute settlement body, which has recently been faced with several cases relating to manufactured risk.2 In these situations, and partially due to the WTO’s need to legitimize its going beyond national sovereignty, science has gained paramount importance in providing for a neutral and objective international normative yardstick for decision-making.3 Indeed, such function of science is exemplified in the WTO Agreement on the Application of Sanitary and Phytosanitary Measures (SPS Agreement), which indicates that, in order to leave to Member States their discretion to set the levels of protection, the WTO only ‘disciplines’ the existing risk assessments, thus ensuring that the risk regulations are appropriately based on science. In this respect, a clear-cut distinction is made between risk assessment, which provides for objectivity and authority, and risk management, which is expected to appropriately respond with policy decisions.4 The undisputed reliance on science, in case of manufactured risk, is problematic concerning two central aspects. Firstly, ‘risk’ is stil mainly conceptualised according to the traditional theory, which states that risk can be managed by rationally evaluating the probability of its occurrence and measuring it against the extent of the harm that might be caused by a disaster.5 However, due to the speculative characteristic of manufactured risk, no historical data exist regarding the probability, the form, or even the existence of these risks. As these aspects can only be evaluated retrospectively, a mere positivistic6 description of what manufactured risk consists of is drastically jeopardised. Secondly, the way science is being used as an ‘internationallyardstick’ fails to acknowledge and problematize the ways science may be politicised, thus potentially leading to a misuse of scientific knowledge when dealing with manufactured risk. Consequently, this paper will investigate some potential effects of the current use of science with regard to manufactured risk. To start with, the WTO’s approach towards science and its limiting definition of risk, appears not only incomplete vis-à-vis emerging forms of risk, but also ignores the practical inability of science to be used as a decisive tool in dispute settlement. Subsequently, the demeanour of displaying scientific knowledge as complete, unequivocal, and authoritative as well as disregarding the existence of various forms of uncertainty results in a de facto impediment of Member States’ freedom to “determine their own appropriate level of sanitary protection”.7 Therefore, this paper will empirically analyse how scientific knowledge is being politicised in the process of dealing with manufactured risks. For this purpose, the interdisciplinary analysis of a case concerning the selected genetically modified organism (GMO), Bt-176,8 will be presented. This specific GMO was banned in Germany, Austria, and Luxembourg, accepted by the European Communities (EC, now: European Union),9 and assessed in the WTO Dispute Settlement on the Measures Affecting the Approval and Marketing of Biotech Products (EC-Biotech).10 On this basis, the authors will, in the first part, propose a conceptual framework significant in evaluating how the relevant authorities at the national, EU, and WTO levels approach scientific knowledge when dealing with manufactured risks. In the following section, the paper will analyse the various facets on which the scientific evidence presented by Member States and the EC agencies conflict. Finally, the way the WTO Panel ‘disciplined’ the risk assessments, according to applicable law, will be investigated. Based on the analysis of the EC- Biotech case, diverging manners by which science is being politicised will be identified. In particular, the paper will investigate how different types of uncertainty are being ignored or disregarded, thus ultimately leading to the limitation of available evidence on which Member States can base their safeguard measures. In conclusion, the argument substantiated in this paper is that, due to the characteristics of manufactured risk and the inherent politicisation of science, under no circumstances should science be used as the most important normative yardstick in the WTO decisionmaking process. Additionally, this paper claims that in order to appropriately deal with manufactured risk and its speculative characteristic, scientific risk assessment should not only attempt to positively assess the risk, but as well attribute a major importance to all identified forms of uncertainty

The Struggle of Farming Systems in Europe:Looking for Explanations through the Lens of Resilience

Many farming systems in Europe are struggling to respond to accumulating economic, environmental, institutional and social challenges. From a resilience perspective, they need three distinct capacities to continue delivering products, income and public goods: robustness, adaptability and transformability. Based on a structured assessment of the resilience capacities of 11 farming systems across Europe we conclude that three mismatches likely contribute to their struggles. First, while farming systems comprised many non‐farm actors, resilience strategies largely focused on farms and their robustness, neglecting other options and opportunities. Second, while the delivery of public goods such as biodiversity and attractive landscapes was seen as a major concern, most resilience strategies focused on the delivery of private goods. Third, while in many farming systems actors expressed the need for transformation, farming systems’ capacity to transform was perceived as low. Building on the differentiated concept of resilience, findings can guide policymakers, farming system actors, consumers and societal interest groups to identify pathways towards more resilient agricultural systems in Europe

A framework to assess the resilience of farming systems

Agricultural systems in Europe face accumulating economic, ecological and societal challenges, raising concerns about their resilience to shocks and stresses. These resilience issues need to be addressed with a focus on the regional context in which farming systems operate because farms, farmers’ organizations, service suppliers and supply chain actors are embedded in local environments and functions of agriculture. We define resilience of a farming system as its ability to ensure the provision of the system functions in the face of increasingly complex and accumulating economic, social, environmental and institutional shocks and stresses, through capacities of robustness, adaptability and transformability. We (i) develop a framework to assess the resilience of farming systems, and (ii) present a methodology to operationalize the framework with a view to Europe’s diverse farming systems. The framework is designed to assess resilience to specific challenges (specified resilience) as well as a farming system’s capacity to deal with the unknown, uncertainty and surprise (general resilience). The framework provides a heuristic to analyze system properties, challenges (shocks, long-term stresses), indicators to measure the performance of system functions, resilience capacities and resilience-enhancing attributes. Capacities and attributes refer to adaptive cycle processes of agricultural practices, farm demographics, governance and risk management. The novelty of the framework pertains to the focal scale of analysis, i.e. the farming system level, the consideration of accumulating challenges and various agricultural processes, and the consideration that farming systems provide multiple functions that can change over time. Furthermore, the distinction between three resilience capacities (robustness, adaptability, transformability) ensures that the framework goes beyond narrow definitions that limit resilience to robustness. The methodology deploys a mixed-methods approach: quantitative methods, such as statistics, econometrics and modelling, are used to identify underlying patterns, causal explanations and likely contributing factors; while qualitative methods, such as interviews, participatory approaches and stakeholder workshops, access experiential and contextual knowledge and provide more nuanced insights. More specifically, analysis along the framework explores multiple nested levels of farming systems (e.g. farm, farm household, supply chain, farming system) over a time horizon of 1-2 generations, thereby enabling reflection on potential temporal and scalar trade-offs across resilience attributes. The richness of the framework is illustrated for the arable farming system in Veenkoloniën, the Netherlands. The analysis reveals a relatively low capacity of this farming system to transform and farmers feeling distressed about transformation, while other members of their households have experienced many examples of transformation

The GRAVITY+ Project: Towards All-sky, Faint-Science, High-Contrast Near-Infrared Interferometry at the VLTI

The GRAVITY instrument has been revolutionary for near-infrared interferometry by pushing sensitivity and precision to previously unknown limits. With the upgrade of GRAVITY and the Very Large Telescope Interferometer (VLTI) in GRAVITY+, these limits will be pushed even further, with vastly improved sky coverage, as well as faint-science and high-contrast capabilities. This upgrade includes the implementation of wide-field off-axis fringe-tracking, new adaptive optics systems on all Unit Telescopes, and laser guide stars in an upgraded facility. GRAVITY+ will open up the sky to the measurement of black hole masses across cosmic time in hundreds of active galactic nuclei, use the faint stars in the Galactic centre to probe General Relativity, and enable the characterisation of dozens of young exoplanets to study their formation, bearing the promise of another scientific revolution to come at the VLTI.Comment: Published in the ESO Messenge

Impact of COVID-19 on farming systems in Europe through the lens of resilience thinking

CONTEXT Resilience is the ability to deal with shocks and stresses, including the unknown and previously unimaginable, such as the Covid-19 crisis. OBJECTIVE This paper assesses (i) how different farming systems were exposed to the crisis, (ii) which resilience capacities were revealed and (iii) how resilience was enabled or constrained by the farming systems’ social and institutional environment. METHODS The 11 farming systems included have been analysed since 2017. This allows a comparison of pre-Covid-19 findings and the Covid-19 crisis. Pre-Covid findings are from the SURE-Farm systematic sustainability and resilience assessment. For Covid-19 a special data collection was carried out during the early stage of lockdowns. RESULTS AND CONCLUSIONS Our case studies found limited impact of Covid-19 on the production and delivery of food and other agricultural products. This was due to either little exposure or the agile activation of robustness capacities of the farming systems in combination with an enabling institutional environment. Revealed capacities were mainly based on already existing connectedness among farmers and more broadly in value chains. Across cases, the experience of the crisis triggered reflexivity about the operation of the farming systems. Recurring topics were the need for shorter chains, more fairness towards farmers, and less dependence on migrant workers. However, actors in the farming systems and the enabling environment generally focused on the immediate issues and gave little real consideration to long-term implications and challenges. Hence, adaptive or transformative capacities were much less on display than coping capacities. The comparison with pre-Covid findings mostly showed similarities. If challenges, such as shortage of labour, already played before the crisis, they persisted during the crisis. Also, the eminent role of resilience attributes was confirmed. In cases with high connectedness and diversity we found that these system characteristics importantly contributed to dealing with the crisis. Also the focus on coping capacities was already visible before the crisis. We are not sure yet whether the focus on short-term robustness just reflects the higher visibility and urgency of shocks compared to slow processes that undermine or threaten important system functions, or whether they betray an imbalance in resilience capacities at the expense of adaptability and transformability. SIGNIFICANCE Our analysis indicates that if transformations are required, e.g. to respond to concerns about transnational value chains and future pandemics from zoonosis, the transformative capacity of many farming systems needs to be actively enhanced through an enabling environment

Global maps of soil temperature

Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km² resolution for 0–5 and 5–15 cm soil depth. These maps were created by calculating the difference (i.e., offset) between in-situ soil temperature measurements, based on time series from over 1200 1-km² pixels (summarized from 8500 unique temperature sensors) across all the world’s major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10°C (mean = 3.0 ± 2.1°C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 ± 2.3°C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (-0.7 ± 2.3°C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in-situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications

Global maps of soil temperature

Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km2 resolution for 0–5 and 5–15 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1-km2 pixels (summarized from 8519 unique temperature sensors) across all the world\u27s major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10°C (mean = 3.0 ± 2.1°C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 ± 2.3°C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (−0.7 ± 2.3°C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications

The genetic architecture of the human cerebral cortex

The cerebral cortex underlies our complex cognitive capabilities, yet little is known about the specific genetic loci that influence human cortical structure. To identify genetic variants that affect cortical structure, we conducted a genome-wide association meta-analysis of brain magnetic resonance imaging data from 51,665 individuals. We analyzed the surface area and average thickness of the whole cortex and 34 regions with known functional specializations. We identified 199 significant loci and found significant enrichment for loci influencing total surface area within regulatory elements that are active during prenatal cortical development, supporting the radial unit hypothesis. Loci that affect regional surface area cluster near genes in Wnt signaling pathways, which influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson's disease, insomnia, depression, neuroticism, and attention deficit hyperactivity disorder