Evidence-based scientific thinking and decision-making in everyday life

Abstract

In today’s knowledge economy, it is critical to make decisions based on high-quality evidence. Science-related decision-making is thought to rely on a complex interplay of reasoning skills, cognitive styles, attitudes, and motivations toward information. By investigating the relationship between individual differences and behaviors related to evidence-based decision-making, our aim was to better understand how adults engage with scientific information in everyday life. First, we used a data-driven exploratory approach to identify four latent factors in a large set of measures related to cognitive skills and epistemic attitudes. The resulting structure suggests that key factors include curiosity and positive attitudes toward science, prosociality, cognitive skills, and openmindedness to new information. Second, we investigated whether these factors predicted behavior in a naturalistic decision-making task. In the task, participants were introduced to a real science-related petition and were asked to read six online articles related to the petition, which varied in scientific quality, while deciding how to vote. We demonstrate that curiosity and positive science attitudes, cognitive flexibility, prosociality and emotional states, were related to engaging with information and discernment of evidence reliability. We further found that that social authority is a powerful cue for source credibility, even above the actual quality and relevance of the sources. Our results highlight that individual motivating factors toward information engagement, like curiosity, and social factors such as social authority are important drivers of how adults judge the credibility of everyday sources of scientific information.

Curiosity in children across ages and contexts

Abstract

Curiosity is a universal characteristic of childhood that can motivate and direct attention during information-seeking to support knowledge development. Understanding the development of curiosity could inform practical applications to support children’s curiosity and learning across contexts, such as fostering curiosity-supportive environments at home and in schools. In this Review, we focus on the state component of curiosity, defined as information-seeking behaviour that is internally motivated in response to a specific question or gap in knowledge. We synthesize research on children’s curiosity, considering the distinction between internal and external curiosity and variation in curiosity across ages and contexts. On the basis of this research, we suggest several areas for future research.

Elevation-dependent biases of raw and bias-adjusted EURO-CORDEX regional climate models in the European Alps

Abstract

Data from the EURO-CORDEX ensemble of regional climate model simulations and the CORDEX-Adjust dataset were evaluated over the European Alps using multiple gridded observational datasets. Biases, which are here defined as the difference between models and observations, were assessed as a function of the elevation for different climate indices that span average and extreme conditions. Moreover, we assessed the impact of different observational datasets on the evaluation, including E-OBS, APGD, and high-resolution national datasets. Furthermore, we assessed the bi-variate dependency of temperature and precipitation biases, their temporal evolution, and the impact of different bias adjustment methods and bias adjustment reference datasets. Biases in seasonal temperature, seasonal precipitation, and wet-day frequency were found to increase with elevation. Differences in temporal trends between RCMs and observations caused a temporal dependency of biases, which could be removed by detrending both observations and RCMs. The choice of the reference observation datasets used for bias adjustment turned out to be more relevant than the choice of the bias adjustment method itself. Consequently, climate change assessments in mountain regions need to pay particular attention to the choice of observational dataset and, furthermore, to the elevation dependence of biases and the increasing observational uncertainty with elevation in order to provide robust information on future climate.

Institutional trust as a driver of product boycotts in Europe

Abstract

Despite the significant growth in consumer boycotts, research has devoted insufficient attention to the institutional factors that may motivate consumers to engage in such behaviour. This article aims to address this research gap. The main objective is to analyse the factors that affect consumer boycotts from an institutional sustainability perspective, by focusing on a specific dimension of institutional sustainability: institutional trust. Information and data came from the 2023 round of the European Social Survey, a cross-national survey covering 25 Countries. The article applies a binomial univariable logit model to test the influence of institutional trust and other potential drivers on boycott decisions and a multivariable binomial logistic regression to explore possible interrelationship between independent variables. The results confirm that boycotts are affected by institutional trust and other factors including demographic and socio-economic characteristics of the consumers, consumers’ perception of ICT, satisfaction with public institutions, and consumers’ evaluation of personal well-being. This article contributes to political consumerism literature by focusing on the impact of institutional trust in boycotting behaviour. This relationship is underexplored in existing literature, since most literature researches consumer boycotts from a triple-bottom perspective and neglects the effects of the institutional dimension of sustainability in consumer behaviour. The article brings new insights into the motivations of consumers at the political and institutional levels and opens new directions for future research to explore institutional sustainability related to the good practices of governance.

Ethical approaches in designing autonomous and intelligent systems: a comprehensive survey towards responsible development

Abstract

Over the past decade, significant progress in artificial intelligence (AI) has spurred the adoption of its algorithms, addressing previously daunting challenges. Alongside these remarkable strides, there has been a simultaneous increase in model complexity and reliance on opaque AI models, lacking transparency. In numerous scenarios, the systems themselves may necessitate making decisions entailing ethical dimensions. Consequently, it has become imperative to devise solutions to integrate ethical considerations into AI system development practices, facilitating broader utilization of AI systems across various domains. Research endeavors should explore innovative approaches to enhance ethical principles in AI systems, fostering greater transparency, accountability, and trustworthiness. Upholding fundamental individual rights, human dignity, autonomy, privacy, equality, and fairness, while mitigating potential harm, remains paramount. Considering ethical values and ensuring compliance with ethical requirements throughout the development lifecycle of autonomous and intelligent systems nurture trust and reliability in their utilization. Ethical considerations should be ingrained within organizational procedures guiding AI research activities, establishing robust frameworks that address ethical concerns and reflect the ethical implications of AI-based systems. This paper presents an overview of ethical approaches and processes aimed at integrating ethical considerations into AI system development practices. It underscores the significance of ethical frameworks in fostering ethical AI implementation and ensuring the ethical integrity of AI technologies.

Recognising a kaleidoscopic archive: working with London Missionary Society records in the geekosphere’

Abstract

This article is an ultra-reflective account of an encounter with London Missionary Society (LMS) records through the Australian Joint Copying Project (AJCP) collections at the State Library of Victoria (SLV) and the home office as socially and materially informed research spaces. The genealogies of surrogate archives are little analysed, yet they have complex pasts worth investigating. As Jasmine Burns (JALSNA 33: 150–167, 2024), the librarian and metadata specialist explained, information about an archive’s ancestry is valuable as it illuminates the history and a pattern of use beyond the original author’s intent. The subsequent discussion shows how I inspect descriptive categories associated with the AJCP LMS microfilmed and digitised records in the custody of SLV, the London School of Oriental and African Studies (SOAS) and the National Library of Australia, (NLA) showing how meaning was layered onto these records. Extending on the social historian Arlette Farge’s analogy of the archive as a kaleidoscope, I demonstrate the introductory process by which a historian determines absences and presences in the archive and to what extent the initial imperial categories used by archivists and librarians informed my research practices. By analysing the history of the LMS AJCP collection, I demonstrate how these Australian-Pacific artefacts contain layers of knowledge about historical cultures and relationships. The different agendas and experiences of librarians, archivists, and historians—all curators of historical records –have revealed or obscured encounter narratives concerning European and indigenous men and women.

Promoting equity in polygenic risk assessment through global collaboration

Abstract

The long delay before genomic technologies become available in low- and middle-income countries is a concern from both scientific and ethical standpoints. Polygenic risk scores (PRSs), a relatively recent advance in genomics, could have a substantial impact on promoting health by improving disease risk prediction and guiding preventive strategies. However, clinical use of PRSs in their current forms might widen global health disparities, as their portability to diverse groups is limited. This Perspective highlights the need for global collaboration to develop and implement PRSs that perform equitably across the world. Such collaboration requires capacity building and the generation of new data in low-resource settings, the sharing of harmonized genotype and phenotype data securely across borders, novel population genetics and statistical methods to improve PRS performance, and thoughtful clinical implementation in diverse settings. All this needs to occur while considering the ethical, legal and social implications, with support from regulatory and funding agencies and policymakers.

Disparities in perioperative mortality outcomes between First Nations and non-First Nations peoples in Australia: protocol for a systematic review and planned meta-analysis

Abstract

Background

Health inequities persist among First Nations people living in developed countries. Surgical care is pivotal in addressing a significant portion of the global disease burden. Evidence regarding surgical outcomes among First Nations people in Australia is limited. The perioperative mortality rate (POMR) indicates timely access to safe surgery and predicts long-term survival after major surgery. This systematic review will examine POMR among First Nations and non-First Nations peoples in Australia.

Methods

A systematic search strategy using MEDLINE, Embase, Emcare, Global Health, and Scopus will identify studies that include First Nations people and non-First Nations people who underwent a surgical intervention under anaesthesia in Australia. The primary focus will be on documenting perioperative mortality outcomes. Title and abstract screening and full-text review will be conducted by independent reviewers, followed by data extraction and bias assessment using the ROBINS-E tool. Meta-analysis will be considered if there is sufficient homogeneity between studies. The quality of cumulative evidence will be evaluated following the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) criteria.

Discussion

This protocol describes the comprehensive methodology for the proposed systematic review. Evaluating disparities in perioperative mortality rates between First Nations and non-First Nations people remains essential in shaping the discourse surrounding health equity, particularly in addressing the surgical burden of disease.

Systematic review registration

PROSPERO CRD42021258970.

Cultural adaptation and validation of the knee injury and osteoarthritis outcome score into Sinhala language in patients with primary knee osteoarthritis: a cross-sectional study

Abstract

Background

Knee Injury and Osteoarthritis Outcome Score (KOOS) scale is a patient-reported outcome measurement tool. It evaluates both short- and long-term consequences of knee injury and primary osteoarthritis. This study aims to translate and validate the KOOS scale for a Sinhala-speaking Sri Lankan population.

Methods

A cross sectional study was conducted in three hospitals. Four hundred and fifteen patients comprising 185 males and 227 females (3 subjects did not reveal their gender) with knee osteoarthritis (KOA) participated in the study. Seventy nine participants without KOA were recruited as controls. The functionality and quality of life level in patients and healthy participants were assessed using translated versions of the KOOS and Short Form-36 (SF-36) scales. Internal consistency of the instrument was assessed by Cronbach alpha. Construct validity and test-retest reliability were examined using the Intraclass Correlation Coefficient (ICC). Confirmatory Factor Analysis (CFA) was used to assess factorial validity.

Results

The mean age (± sd) of the KOA subjects was 54.9 (± 9.2) years and for the control group was 49.2 (± 8.0) years. Majority of the respondents were female and Sinhalese in both groups. Internal consistency reliability was high (Cronbach’s alpha values  0.70). The test–retest reliability was excellent with the intraclass correlation coefficient for all subscales being above 0.90. Construct validity was assessed by the magnitude of the correlation coefficient between KOOS and SF-36 subscale scores. KOOS Pain scale moderately correlated with SF-36 bodily pain (Pearson’s r = 0.41). SF-36 physical function scores had a weak positive correlation with all KOOS subscales and SF-36 emotional wellbeing was not significantly correlated with KOOS Quality of Life (QoL) subscale. A five-factor Confirmatory Factor Analysis (CFA) model yielded a Comparative Fit Index (CFI) = 0.950, Tucker Lewis Index (TLI) = 0.946, Root Mean Square Error of Approximation (RMSEA) = 0.082 and Standardised Root Mean squared Residual (SRMR) = 0.072.

Conclusion

The Sinhala translation of the KOOS scale is a reliable and valid instrument to assess KOA in a Sinhala-speaking Sri Lankan population. Studies to assess its use as a scale to evaluate responsiveness are recommended.