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 framework dikolan (Digital competencies for teaching in science education) as basis for the self-assessment tool dikolan-grid

For the planning and implementation of lessons with digital technologies, a subject-specific technology-related professional competence of teachers is of central importance. However, the competency frameworks developed so far remain in a general perspective and do not explicitly address subject-specific issues. Furthermore, digital competencies are predominantly measured with subject-unspecific self-assessment instruments, as subject-specific operationalizations for this area are not yet available in a differentiated form. In this article, the framework for Digital Competencies for Teaching in Science Education (DiKoLAN), a subject-specific framework for pre-service science teachers, is introduced, on the one hand, and, on the other hand, first results of a self-assessment tool based on the framework are described. DiKoLAN defines competency areas highly specific to science, as well as more general competency areas that include aspects common to all subjects. Each competency area is described by competency expectations, which, in turn, are structured with reference to the four technology-related dimensions of the TPACK framework (i.e., Technological and Pedagogical Content Knowledge) and three levels of performance (Name, Describe, Use/Apply). Derived from DiKoLAN, a corresponding self-assessment instrument (DiKoLAN-Grid) was developed and empirically tested for the two competency areas, (n = 118) and Information Search and Evaluation (n = 90), in biology student teachers. By means of path models, tendencies regarding structural correlations of the four components Special Tools (TK), Content-specific Context (TCK), Methods and Digitality (TPK), and Teaching (TPACK) are presented for both competency areas and discussed, as well as in comparison to previously conducted, subject-unspecific surveys. © 2021, MDPI. All rights reserved

The science of citizen science: a systematic literature review on educational and scientific outcomes

Citizen Science is an ever-growing field of public engagement with science, and recent years have seen an increasing number of studies examining its potential. This study reviews this research to determine the educational and scientific outcomes of Citizen Science. A literature search produced 1,240 articles that were subsequently coded according to their main focus. Articles fell into one of three main categories: (a) empirical scientific articles, (b) narrative project descriptions, and (c) theoretical and technical conceptualizations. Hundred and forty-eight studies investigated educational outcomes of participation in Citizen Science such as effects on interest in science or motivation. These studies were examined further to assess the achievement of educational outcomes of Citizen Science. In terms of changing epistemological beliefs, for example, Citizen Science seems to have little effect. Overall, there is currently a lack of empirical studies to assess the educational outcomes comprehensively. In contrast, many empirical scientific articles answered research questions in different scientific disciplines based on Citizen Science data and many studies confirmed a high level of Citizen Science data quality providing information on the scientific outcomes. Implications for future research on Citizen Science are discussed

The functional and structural associations of aberrant microglial activity in major depressive disorder

Background: Major depressive disorder (MDD) is a debilitating mental illness that has been linked to increases in markers of inflammation, as well as to changes in brain functional and structural connectivity, particularly between the insula and the subgenual anterior cingulate cortex (sgACC). In this study, we directly related inflammation and dysconnectivity in treatment-resistant MDD by concurrently measuring the following: microglial activity with [18F]N-2-(fluoroethoxyl)benzyl-N-(4phenoxypyridin-3-yl)acetamide ([18F]FEPPA) positron emission tomography (PET); the severity of MDD; and functional or structural connectivity among insula or sgACC nodes. Methods: Twelve patients with treatment-resistant MDD (8 female, 4 male; mean age ± standard deviation 54.9 ± 4.5 years and 23 healthy controls (11 female, 12 male; 60.3 ± 8.5 years) completed a hybrid [18F]FEPPA PET and MRI acquisition. From these, we extracted relative standardized uptake values for [18F]FEPPA activity and Pearson r-to-z scores representing functional connectivity from our regions of interest. We extracted diffusion tensor imaging metrics from the cingulum bundle, a key white matter bundle in MDD. We performed regressions to relate microglial activity with functional connectivity, structural connectivity and scores on the 17-item Hamilton Depression Rating Scale. Results: We found significantly increased [18F]FEPPA uptake in the left sgACC in patients with treatment-resistant MDD compared to healthy controls. Patients with MDD also had a reduction in connectivity between the sgACC and the insula. The [18F]FEPPA uptake in the left sgACC was significantly related to functional connectivity with the insula, and to the structural connectivity of the cingulum bundle. [18F]FEPPA uptake also predicted scores on the Hamilton Depression Rating Scale. Limitations: A relatively small sample size, lack of functional task data and concomitant medication use may have affected our findings. Conclusion: We present preliminary evidence linking a network-level dysfunction relevant to the pathophysiology of depression and related to increased microglial activity in MDD

The Framework DiKoLAN (Digital Competencies for Teaching in Science Education) as Basis for the Self-Assessment Tool DiKoLAN-Grid

For the planning and implementation of lessons with digital technologies, a subject-specific technology-related professional competence of teachers is of central importance. However, the competency frameworks developed so far remain in a general perspective and do not explicitly address subject-specific issues. Furthermore, digital competencies are predominantly measured with subject-unspecific self-assessment instruments, as subject-specific operationalizations for this area are not yet available in a differentiated form. In this article, the framework for Digital Competencies for Teaching in Science Education (DiKoLAN), a subject-specific framework for pre-service science teachers, is introduced, on the one hand, and, on the other hand, first results of a self-assessment tool based on the framework are described. DiKoLAN defines competency areas highly specific to science, as well as more general competency areas that include aspects common to all subjects. Each competency area is described by competency expectations, which, in turn, are structured with reference to the four technology-related dimensions of the TPACK framework (i.e., Technological and Pedagogical Content Knowledge) and three levels of performance (Name, Describe, Use/Apply). Derived from DiKoLAN, a corresponding self-assessment instrument (DiKoLAN-Grid) was developed and empirically tested for the two competency areas, (n = 118) and Information Search and Evaluation (n = 90), in biology student teachers. By means of path models, tendencies regarding structural correlations of the four components Special Tools (TK), Content-specific Context (TCK), Methods and Digitality (TPK), and Teaching (TPACK) are presented for both competency areas and discussed, as well as in comparison to previously conducted, subject-unspecific surveys

A review of nature-based solutions for urban water management in European circular cities: a critical assessment based on case studies and literature

Abstract Nature-based solutions (NBS) can protect, manage and restore natural or modified ecosystems. They are a multidisciplinary, integrated approach to address societal challenges and some natural hazards effectively and adaptively, simultaneously providing human well-being and biodiversity benefits. NBS applications can be easily noticed in circular cities, establishing an urban system that is regenerative and accessible. This paper aims to offer a review on NBS for urban water management from the literature and some relevant projects running within the COST Action 'Implementing nature-based solutions for creating a resourceful circular city'. The method used in the study is based on a detailed tracking of specific keywords in the literature using Google Scholar, ResearchGate, Academia.edu, ScienceDirect and Scopus. Based on this review, three main applications were identified: (i) flood and drought protection; (ii) the water-food-energy nexus; and (iii) water purification. The paper shows that NBS provide additional benefits, such as improving water quality, increasing biodiversity, obtaining social co-benefits, improving urban microclimate, and the reduction of energy consumption by improving indoor climate. The paper concludes that a systemic change to NBS should be given a higher priority and be preferred over conventional water infrastructure

Presymptomatic cognitive and neuroanatomical changes in genetic frontotemporal dementia in the Genetic Frontotemporal dementia Initiative (GENFI) study: a cross-sectional analysis.

BACKGROUND: Frontotemporal dementia is a highly heritable neurodegenerative disorder. In about a third of patients, the disease is caused by autosomal dominant genetic mutations usually in one of three genes: progranulin (GRN), microtubule-associated protein tau (MAPT), or chromosome 9 open reading frame 72 (C9orf72). Findings from studies of other genetic dementias have shown neuroimaging and cognitive changes before symptoms onset, and we aimed to identify whether such changes could be shown in frontotemporal dementia. METHODS: We recruited participants to this multicentre study who either were known carriers of a pathogenic mutation in GRN, MAPT, or C9orf72, or were at risk of carrying a mutation because a first-degree relative was a known symptomatic carrier. We calculated time to expected onset as the difference between age at assessment and mean age at onset within the family. Participants underwent a standardised clinical assessment and neuropsychological battery. We did MRI and generated cortical and subcortical volumes using a parcellation of the volumetric T1-weighted scan. We used linear mixed-effects models to examine whether the association of neuropsychology and imaging measures with time to expected onset of symptoms differed between mutation carriers and non-carriers. FINDINGS: Between Jan 30, 2012, and Sept 15, 2013, we recruited participants from 11 research sites in the UK, Italy, the Netherlands, Sweden, and Canada. We analysed data from 220 participants: 118 mutation carriers (40 symptomatic and 78 asymptomatic) and 102 non-carriers. For neuropsychology measures, we noted the earliest significant differences between mutation carriers and non-carriers 5 years before expected onset, when differences were significant for all measures except for tests of immediate recall and verbal fluency. We noted the largest Z score differences between carriers and non-carriers 5 years before expected onset in tests of naming (Boston Naming Test -0·7; SE 0·3) and executive function (Trail Making Test Part B, Digit Span backwards, and Digit Symbol Task, all -0·5, SE 0·2). For imaging measures, we noted differences earliest for the insula (at 10 years before expected symptom onset, mean volume as a percentage of total intracranial volume was 0·80% in mutation carriers and 0·84% in non-carriers; difference -0·04, SE 0·02) followed by the temporal lobe (at 10 years before expected symptom onset, mean volume as a percentage of total intracranial volume 8·1% in mutation carriers and 8·3% in non-carriers; difference -0·2, SE 0·1). INTERPRETATION: Structural imaging and cognitive changes can be identified 5-10 years before expected onset of symptoms in asymptomatic adults at risk of genetic frontotemporal dementia. These findings could help to define biomarkers that can stage presymptomatic disease and track disease progression, which will be important for future therapeutic trials. FUNDING: Centres of Excellence in Neurodegeneration

Presymptomatic cognitive and neuroanatomical changes in genetic frontotemporal dementia in the Genetic Frontotemporal dementia Initiative (GENFI) study: A cross-sectional analysis

Background: Frontotemporal dementia is a highly heritable neurodegenerative disorder. In about a third of patients, the disease is caused by autosomal dominant genetic mutations usually in one of three genes: progranulin (. GRN), microtubule-associated protein tau (. MAPT), or chromosome 9 open reading frame 72 (. C9orf72). Findings from studies of other genetic dementias have shown neuroimaging and cognitive changes before symptoms onset, and we aimed to identify whether such changes could be shown in frontotemporal dementia. Methods: We recruited participants to this multicentre study who either were known carriers of a pathogenic mutation in GRN, MAPT, or C9orf72, or were at risk of carrying a mutation because a first-degree relative was a known symptomatic carrier. We calculated time to expected onset as the difference between age at assessment and mean age at onset within the family. Participants underwent a standardised clinical assessment and neuropsychological battery. We did MRI and generated cortical and subcortical volumes using a parcellation of the volumetric T1-weighted scan. We used linear mixed-effects models to examine whether the association of neuropsychology and imaging measures with time to expected onset of symptoms differed between mutation carriers and non-carriers. Findings: Between Jan 30, 2012, and Sept 15, 2013, we recruited participants from 11 research sites in the UK, Italy, the Netherlands, Sweden, and Canada. We analysed data from 220 participants: 118 mutation carriers (40 symptomatic and 78 asymptomatic) and 102 non-carriers. For neuropsychology measures, we noted the earliest significant differences between mutation carriers and non-carriers 5 years before expected onset, when differences were significant for all measures except for tests of immediate recall and verbal fluency. We noted the largest Z score differences between carriers and non-carriers 5 years before expected onset in tests of naming (Boston Naming Test -0·7; SE 0·3) and executive function (Trail Making Test Part B, Digit Span backwards, and Digit Symbol Task, all -0·5, SE 0·2). For imaging measures, we noted differences earliest for the insula (at 10 years before expected symptom onset, mean volume as a percentage of total intracranial volume was 0·80% in mutation carriers and 0·84% in non-carriers; difference -0·04, SE 0·02) followed by the temporal lobe (at 10 years before expected symptom onset, mean volume as a percentage of total intracranial volume 8·1% in mutation carriers and 8·3% in non-carriers; difference -0·2, SE 0·1). Interpretation: Structural imaging and cognitive changes can be identified 5-10 years before expected onset of symptoms in asymptomatic adults at risk of genetic frontotemporal dementia. These findings could help to define biomarkers that can stage presymptomatic disease and track disease progression, which will be important for future therapeutic trials. Funding: Centres of Excellence in Neurodegenerati