Scientific Community Research Articles

The Research Advance in Ethical Issues of AI Application

The topic of AI has become more and more discussed ever since the release of ChatGPT, as its astonishing intelligence has made humans to challenge the boundary. This vagueness then contributes to the emergence of discussions on the ethics of AI. Aiming to clarify the many current academic discussions on the ethics of artificial intelligence and to recognize different ethical perspectives, this study conducts a literature review of the research and discussions among different scholars on ethical issues in the application of artificial intelligence technologies. It is found that the current relevant discussion extends from a micro perspective emphasizing the individual to a macro perspective emphasizing the human race. Research advances on ethical issues in AI applications can be categorized into three levels: personal, social, and global. Among which, the individual level focuses on the ethical issues in algorithmic logic and user data management. The social level focuses on the social employment and public accountability systems. While the global level discusses intellectual property disputes and the social identity of AI robots. Finally, the author gave an evaluation of the gaps and challenges of studying AI ethics and emphasize the importance of addressing ethical issues in AI development and deployment. The paper aims to serve as information for scholars and policymakers, fostering ethical awareness in the AI research community and helping AI technologies to be developed and used responsibly.

Open Science in Agricultural Economics

Abstract We provide a ‘big picture’ of what Open Science is and what benefits, limitations, and risks it entails for agricultural economists. We show that Open Science comprises various aspects, such as, the accessibility of science, transparency of scientific processes, open and FAIR research data and code, and openness in teaching and education. We identify potential benefits of Open Science for individual researchers and the public, as well as adoption barriers. We highlight that public benefits of a wide-spread uptake of Open Science practices still remain unexplored. We share best practice examples for key aspects of agricultural economic research, i.e., primary data collection and analysis, optimization and simulation models, use of replication packages and an Open Science Community. Assessing the author guidelines of twelve Agricultural Economics journals for their Open Science practices, we find that data citation and transparency are considered important in many journals already, whereas replication, pre-registration or results-blind review are encouraged but rarely enforced. It also becomes evident that the journals differ in terms of how strictly they enforce their open-science guidelines. We close by providing recommendations for researchers, journal editors, policy makers, universities, research institutes and funding agencies to better align public benefits with private incentives.

Expanding seawater carbon dioxide and methane measuring capabilities with a Seaglider

Abstract. Warming, ocean acidification, and deoxygenation are increasingly putting pressure on marine ecosystems. At the same time, thawing permafrost and decomposing hydrates in Arctic shelf seas may release large amounts of methane (CH4) into the water column, which could accelerate local ocean acidification and contribute to climate change. The key parameters to observing and understanding these complex processes and feedback mechanisms are vastly undersampled throughout the oceans. We developed carbon dioxide (CO2) and CH4 gliders, including standard operational procedures, with the goal that CO2 and CH4 measurements will become more common for glider operations. The Seagliders with integrated Contros HydroC CO2 or CH4 sensors also include conductivity, temperature, depth, oxygen, chlorophyll a, backscatter, and fluorescent dissolved organic matter sensors. Communication via satellite allows for near-real-time data transmission, sensor adjustments, and adaptive sampling. Several sea trials with the CO2 Seaglider in the Gulf of Alaska and data evaluation with discrete water and underway samples suggest nearly “weather-quality” CO2 data as defined by the Global Ocean Acidification Network. A winter mission in Resurrection Bay, Alaska, provided the first insights into the water column inorganic carbon dynamics during this otherwise undersampled season. The CH4 Seaglider passed its flight trials in Resurrection Bay but needs to be tested during a field mission in an area with CH4 concentrations beyond background noise. Both sensing systems are available to the science community through the industry partners (Advanced Offshore Operations and -4H-JENA engineering GmbH) of this project.

Low health literacy is associated with health-related institutional mistrust beyond education

Abstract Background Institutional mistrust, the lack of confidence and overall suspicion towards authorities or systems, usually governmental, but also extending to the health sector, poses a major obstacle towards public health policies and actions. Lower educational attainment has been linked to higher mistrust, but the role of health literacy in particular remains unclear. Methods Cross-sectional study in the general adult population of Greece and Cyprus following proportional quota sampling (January 2022 to May 2023). The current analysis is based on a sub-sample of 292 participants, with complete information on health literacy (main exposure, assessed via the validated HLS-EU-Q16) and health-related institutional mistrust (main outcome, assessed via a new culturally adopted questionnaire comprising 11 items). Multiple linear regression was used to determine associations between the aforementioned factors, adjusting for educational attainment and other potential confounders. Results Exploratory factor analysis revealed 3 health-related institutional mistrust dimensions, towards: (a) governmental authorities and the media (i.e., the system), (b) doctors and other health professionals, and (c) the scientific community. Health literacy was negatively associated with all mistrust dimensions, with associations being particularly strong with mistrust towards the system (B, 95% CI per unit increase in the HL scale: -0.87, -1.58; -0.15) and the scientific community (-0.71, -1.11; -0.32). These association remained robust to adjustment for educational attainment and other sociodemographic factors. Conclusions Mistrust towards a perceived system, comprising the government and media, as well as towards the scientific community on health-related matters, is higher among individuals with low health literacy, irrespective of educational attainment. Enhancing health literacy could act as a novel target for public health approaches aiming to tackle health-related institutional mistrust. Key messages • Health-related institutional mistrust is a complex phenomenon, which appears to have different dimensions, relevant to the perceived system, health professionals, and the scientific community. • Low health literacy is an independent predictor of health-related institutional mistrust, rendering it a novel target for attempts towards reversing this phenomenon and its adverse health consequences.

In at the Deep End: Innovative approaches to engaging underserved communities in Northern England

Abstract Background People living in socio-economically deprived communities have greater health needs, but worse access and outcomes from care. A growing international movement of Deep End (DE) general practice networks established to promote health equity, address challenges posed by the inverse care law and advocate for increased research involvement. Researchers, community members and practitioners in the North of England are exploring ways of engaging with underserved communities and addressing low levels of inclusion in research. Methods DE research i) co-designing the North East and North Cumbria (NENC) DE network with practitioners to prioritise service investment, research activities and initiatives for local communities; ii) Deep End Research Alliance Yorkshire and Humber (DERA-YH) and Participatory Action Research to increase research capacity and reflect upon the evolution of a novel primary care Community Research Link Worker role (CRLWs). Results Prioritisation activities in the NENC DE network, uncovered the volume and complexity of clinical and social need, leading to the co-design and evaluation of initiatives to improve mental health care, increase childhood immunisations, tailor deprescribing, support training, and increase patient inclusion in research. In the DERA-YH, the CRLW model increased participation in research from ethnic minority communities regarding prostate cancer, lung health, dementia, and contraceptive services. Community leaders stated that sharing resources and power in the research process builds trust and interest in research in their communities. Conclusions DE networks in Northern England have driven innovative approaches to engage underserved communities in research, fostering empowering and enduring relationships to address health and care inequalities. Co-design methodologies and CRLWs integration into research teams had a transformative impact on the accessibility of research for communities and for the researchers’ positionality. Key messages • Deep End networks are advancing approaches to meaningful engagement and partnership working with underserved communities, to address health, care and research participation inequalities. • We recommend co-design by default and CRLW models to build capacity and embed reflective practice, mutual respect, and power sharing across the research team.

Commercialization of scientific misconduct: the challenge of paper mills

Abstract According to an estimate, there are at least 400,000 papers in the scientific literature originating from paper mills, which are for-profit companies that guarantee the publication of low-quality papers. There is evidence that such papers are accompanied by various forms of scientific misconduct, including plagiarism, image duplication, falsification, and fabrication of data. These papers are cited and included in systematic reviews and meta-analyses, which have negative consequences for science and related disciplines. The scientific community has fragmented knowledge on paper mills, and many paper mills go undetected. Current resources of stakeholders are not sufficient to detect and prevent journals from publishing fraudulent papers. The goal of this presentation is to raise awareness of the paper mills problem and to discuss general ‘red flags’ of such papers, as well as possible measures to prevent editors and journals from publishing them. These measures may include open peer review, editor training, research on paper mills, improvement of detection methods, and united actions by stakeholders.

Comparative Analysis of 2022 Outbreak MPXV and Previous Clade II MPXV.

The 2022-2024 outbreak of MPOX is an important worldwide public health issue that has triggered significant concerns in the scientific community. MPOX is caused by monkeypox virus (MPXV) belonging to the Poxviridae family. The study of MPXV presents a multifaceted challenge due to the diverse viral formThis study was supported by ISIDORe consortium and Agencia Estatal de Investigación.s produced by this pathogen. Notably the intracellular mature viruses (MVs) primarily contribute to localized lesions and host-to-host transmission, while the extracellular enveloped viruses (EVs) are associated with systemic infection. Clinically, MPOX manifests as a vesiculopustular rash that initially emerges on the face and trunk, subsequently spreading throughout the body, with heightened severity observed in immunocompromised individuals. Results obtained in this manuscript indicate that the 2022 outbreak MPXV has a significantly slower viral cycle compared with previous Clade II strains, with WRAIR 7-61 being more intermediate and USA 2003 producing highest viral titers. Additionally, proteomic and phospho-proteomic analysis displays differences in protein expression between these three strains. These findings highlight key differences between the current Lineage B.1 MPXV and previous strains. Further studies will be undertaken to demonstrate if these differences are important for the apparent increased human-to-human transmission mechanisms observed in the Clade IIb MPXV outbreak.

Integrity and accountability in academic publishing: trends and implications of paper retractions and journal delistings

Abstract In the context of academic publishing, ‘retraction’ refers to the withdrawal of a published article from the scientific record due to issues such as significant errors, plagiarism, fraudulent data, or unethical research practices. Retractions play a critical role in maintaining the integrity of scientific literature. Retraction Watch, a blog that tracks retractions of scientific papers, lists more than 48,000 retractions in its database, with increasing trend over time (from 450 reported retractions in 2008 to a staggering 7327 retractions in 2023). The extent to which this indicates a heightened vigilance in identifying problematic research or an increased tendency in committing research misconduct or errors is unclear. Retractions can have lasting consequences beyond the retracted paper itself for authors, editors, publishers and the scientific community at large. However, not all retractions are the same, and self-reporting errors might come with minimal effects, suggesting a recognition of accountability and corrective actions. Delisting of a journal from a scientific database such as Scopus and Web of Science refers to the removal of the journal from the database’s index. This can happen for various reasons, including quality concerns and ethical issues. Although this phenomenon is not necessarily correlated with the quality, integrity, or reliability of individual papers published in the delisted journal, it might still have significant impacts on the work and careers of researchers. For instance, articles in delisted journals might suffer from decreased visibility or authors might not be able to use it for promotions. The curated list of sources from Scopus is publicly available and lists around 800 discountinued sources due to quality concerns, while Web of Science made the news in 2023 for the delisting of several journals for editorial reasons, including the MDPI’s giant, International Journal of Environmental Research and Public Health.

Do green practices and technologies mediate lean manufacturing’s impact on industrial performance? Evidence from the European manufacturing survey

Purpose This study aims to analyze the mediating role that green practices (GPs) and green technologies (GTs) play in the relationship between lean manufacturing (LM) and industrial performance (IP). It is suggested that GPs and GTs are crucial for transforming lean routines into enhanced performance that simultaneously meet current environmental requirements. Design/methodology/approach The hypotheses are tested using a mixed methodology, which includes a partial least squares structural equation modeling approach and a fuzzy-set qualitative comparative analysis (fsQCA) applied to a multisectoral sample from three European countries (Spain, Sweden and Croatia). Findings The results confirm that GPs mediate the relationship between LM and IP; however, in the case of GTs, this mediation does not appear to occur, although GTs emerge as a peripheral condition in the subsequent fsQCA. These findings highlight the need to avoid an exclusively technocentric approach and underscore the importance of implementing green organizational practices alongside technology investments to achieve successful lean initiatives. Practical implications It seems clear that managers should apply GPs, combined with LM, to improve sustainability and efficiency and should apply GTs once a more mature lean-green culture has been established. Originality/value In recent years, the scientific community has increasingly focused on the impact of implementing GPs and GTs on IP within LM plants. However, to the authors’ knowledge, no study has yet analyzed the combined effect of both initiatives. This paper seeks to address this gap by examining, in aggregate, the moderating effect of GPs and GTs on IP in LM plants.

9.Y.1. Breaking down silos: Maximizing the impact of different EU funding schemes in health

Abstract The European Commission (EC) has established various funding schemes to support large health initiatives, such as EU4Health, Horizon Europe, and Digital Europe. These initiatives aim to support research and innovation in order to tackle different health challenges faced by EU member states, improve the health and well-being in European citizens and invest in resilient health systems Funding can come in different forms such as grants, subsidies, loans, prizes, and procurements and is managed by different Directorates General of the European Commission. The EC offers a wealth of financial resources, enabling health scientists to conduct cutting-edge research. However, to make the full potential of the EC funding programmes it is essential to achieve interactions and synergies. Thematic interactions consider the underlying policies of specific actions, striving to connect projects focused on related topics rather than letting them work in isolation, and transferring results from one to another. Implementation interactions involve the sequential or cumulative funding of one or multiple projects. Moreover, the abundance of financial sources poses the possibility for duplication of efforts and redundancy among the various programmes. In addition, complexities in rules and guidelines pose challenges for researchers to fund their long term research projects through cumulative funding. To avoid redundancy and tackle health issues efficiently, it is essential to ensure collaboration and coordination across funding schemes to effectively address both overarching and specific health topics. The aim of this roundtable is to share with the audience the different funding mechanisms provided by the European Commission, explore barriers and challenges to fostering collaborative innovation through the funding programs, and demonstrate best practices for optimizing synergies across different programs. This round table gathers panelists from a variety of backgrounds covering the European Commission, national health institutes, NGOs and SMEs. Key messages • The European Commission provides diverse and rich funding schemes supporting health research and innovation to tackle European health challenges. • Complexities in rules and guidelines pose challenges and combined efforts of both the European Commission and research communities can foster collaborative innovation across the funding schemes. Speakers/Panelists Jinane Ghattas Sciensano, Brussels, Belgium Agnès Mathieu-Mendes HaDEA, EC, Brussels, Belgium Anabela Isidro Agência de Investigação Clínica e Inovação Biomédica, Lisbon, Portugal

Impact of gradient microstructure on strain hardening via activation of multiple deformation mechanisms in CoCrNi medium entropy alloy

Abstract Face centered cubic (FCC) structural medium/high entropy alloys (MEAs), characterized by excellent strength and ductility, have attracted significant attention by the research community. The incorporation of gradient structures (GSs) further can enhance their mechanical properties. In the present research, we employ the rotation acceleration shot peening technique to introduce a GS within the CoCrNi FCC MEA to investigate underlying mechanisms governing the physical deformation processes during the generation of GSs through processing, which the primary goal is mitigating the intrinsic trade-off between strength and ductility. Through the microstructures analysis along the depth direction, both pre and post uniaxial tensile plastic deformation, we unveiled that the low stacking fault (SF) energy characteristic of the CoCrNi MEA triggered the emergence of diverse defects in the core region. The presence of nanoscale deformation twins, SFs, Lomer–Cottrell dislocation locks and phase transformation from FCC to hexagonal close-packed at twin boundaries synergistically enhanced the strain hardening capacity of the material.

The INPHET- a global approach to Environmental Public Health Tracking

Abstract Environment and health monitoring and information systems are fundamental infrastructure for evidence provision for policy making. The International Network for Public Health and Environment Tracking (INPHET) was formed by a community of environmental public health practitioners to address common interests and activities that advance environmental public health surveillance (EPHS) and data systems, and their uses to inform public health actions. Its main goal is to address the vast inequalities across countries and communities in their ability to monitor, assess, inform and mitigate environmental and health issues. INPHET supports the relevant role of environmental epidemiology as the pillar science providing evidence for decision making and interventions aiming at reducing and preventing environmental related diseases and contributes to an overall vision for public health. As a “Community of Practice”, INPHET focuses on sharing experiences and expertise; addressing common challenges for implementing and enhancing the science of EPHS/tracking; improving understanding of the link between the environment and health; and providing the appropriate evidence that informs public policy. The network, initiated in conference meetings in 2012-13 and formally launched in Modena, Italy in 2014, has carried out several activities which aim at sharing expertise and learning from different models of environmental and health data integration and surveillance systems that directly inform policy. These include Twinning cooperation with Euro-Asian and Balkan countries and sharing of expertise with African Public Health Agencies. Some experiences are presented in this workshop and highlight the EPHS/EPHT model adopted by several national public health agencies. It promotes that such integration and uses of environmental and health data is key for EPHS, including their accessibility and usability for communities of public health researchers, practitioners and policy makers.

Visualizing genomic evolution in Caenorhabditis through WormSynteny

Understanding the syntenic relationships among genomes is crucial to elucidate the genomic mechanisms that drive the evolution of species. The nematode Caenorhabditis is a good model for studying genomic evolution due to the well-established biology of Caenorhabditis elegans and the availability of > 50 genomes in the genus. However, effective alignment of more than ten species in Caenorhabditis has not been conducted before, and there is currently no tool to visualize the synteny of more than two species. In this study, we used Progressive Cactus, a recently developed multigenome aligner, to align the genomes of eleven Caenorhabditis species. Through the progressive alignment, we reconstructed nine ancestral genomes, analyzed the mutational types that cause genomic rearrangement during speciation, and found that insertion and duplication are the major driving forces for genome expansion. Dioecious species appear to expand their genomes more than androdioecious species. We then built an online interactive app called WormSynteny to visualize the syntenic relationship among the eleven species. Users can search the alignment dataset using C. elegans query sequences, construct synteny plots at different genomic scales, and use a set of options to control alignment output and plot presentation. We showcased the use of WormSynteny to visualize the syntenic conservation of one-to-one orthologues among species, tandem and dispersed gene duplication in C. elegans, and the evolution of exon and intron structures. Importantly, the integration of orthogroup information with synteny linkage in WormSynteny allows the easy visualization of conserved genomic blocks and disruptive rearrangement. In conclusion, WormSynteny provides immediate access to the syntenic relationships among the most widely used Caenorhabditis species and can facilitate numerous comparative genomics studies. This pilot study with eleven species also serves as a proof-of-concept to a more comprehensive larger-scale analysis using hundreds of nematode genomes, which is expected to reveal mechanisms that drive genomic evolution in the Nematoda phylum. Finally, the WormSynteny software provides a generalizable solution for visualizing the output of Progressive Cactus with interactive graphics, which would be useful for a broad community of genome researchers.

How do communities define “work precarity” and “labour exploitation”? Lessons for research from participatory research in high economic hardship communities in Chicago, Illinois/USA

Abstract Labour migration has both social and economic drivers that channel workers into jobs that are less desirable to citizens of the receiving countries. Immigrant workers find jobs through contacts from their home countries, including temporary staffing companies. These workers tend to co-locate in segregated communities and coalesce in jobs that entail hard work, low wages, and limited social benefits. As such, labour migration adds a dimension to the structural and social determinants of health (SDOH) that can broaden our understanding of health inequities, and that can point us toward policies and practices to enhance the health and wellbeing of migrant workforces. However, to generate evidence, align interventions with workers’ needs and priorities, and move evidence to action, it is crucial to engage communities. This presentation describes a community-university research partnership that co-investigates the relationship between work and health as experienced at the community level in two high-economic-hardship neighbourhoods in Chicago, Illinois/USA. The academic and practice partners co-developed and tested a conceptual model of the interrelations among migration, work and health, conducted an inventory of local employers, and executed a street-level survey of 497 workers in these two communities. The research findings helped enhance existing models of the structural/social determinants of health and of work precarity, thus informing methodological approaches to measure work precarity, labour exploitation, and their health effects. The community-based participatory research further led to several action-research projects that are ongoing. This presentation will describe the development of the community-university research partnership and its work, the subsequent enhancements made to the worker precarity and SDOH models, and preliminary findings of the partnership’s current action-research projects.

Growth Kinetics of Graphene on Cu(111) Foils from Methane, Ethyne, Ethylene, and Ethane

AbstractChemical vapor deposition of carbon precursors on Cu‐based substrates at temperatures exceeding 1000 °C is currently a typical route for the scalable synthesis of large‐area high‐quality single‐layer graphene (SLG) films. Using molecules with higher activities than CH4 may afford lower growth temperatures that might yield fold‐ and wrinkle‐free graphene. The kinetics of growth of graphene using hydrocarbons other than CH4 are of interest to the scientific and industrial communities. We measured the growth rates of graphene islands on Cu(111) foils by using C2H2, C2H4, C2H6 and CH4, respectively (each mixed with H2). From such kinetics data we obtain the activation enthalpy (ΔH≠) of graphene growth as shown in parentheses (C2H2 (0.93±0.09 eV); C2H4 (2.05±0.19 eV); C2H6 (2.50±0.11 eV); CH4 (4.59±0.26 eV)); C2Hy (y=2, 4, 6) show similar growth behavior but CH4 is different. Computational fluid dynamics and density functional theory simulations suggest that C2Hy differs from CH4 due to different values of adsorption energy and the lifetime of relevant carbon precursors on the Cu(111) surface. Combining experimental and simulation results, we find that the rate determining step (RDS) is the dissociation of the first C−H bond of CH4 molecules in the gas phase, while the RDS using C2Hy is the first dehydrogenation of adsorbed C2Hy that happens with assistance of H atoms adsorbed on the Cu(111) surface. By using C2H2 as the carbon precursor, high‐quality single‐crystal adlayer‐free SLG films are achieved on Cu(111) foils at 900 °C.

Growth Kinetics of Graphene on Cu(111) Foils from Methane, Ethyne, Ethylene, and Ethane.

Chemical vapor deposition of carbon precursors on Cu-based substrates at temperatures exceeding 1000 °C is currently a typical route for the scalable synthesis of large-area high-quality single-layer graphene (SLG) films. Using molecules with higher activities than CH4 may afford lower growth temperatures that might yield fold- and wrinkle-free graphene. The kinetics of growth of graphene using hydrocarbons other than CH4 are of interest to the scientific and industrial communities. We measured the growth rates of graphene islands on Cu(111) foils by using C2H2, C2H4, C2H6 and CH4, respectively (each mixed with H2). From such kinetics data we obtain the activation enthalpy (ΔH≠) of graphene growth as shown in parentheses (C2H2 (0.93±0.09 eV); C2H4 (2.05±0.19 eV); C2H6 (2.50±0.11 eV); CH4 (4.59±0.26 eV)); C2Hy (y=2, 4, 6) show similar growth behavior but CH4 is different. Computational fluid dynamics and density functional theory simulations suggest that C2Hy differs from CH4 due to different values of adsorption energy and the lifetime of relevant carbon precursors on the Cu(111) surface. Combining experimental and simulation results, we find that the rate determining step (RDS) is the dissociation of the first C-H bond of CH4 molecules in the gas phase, while the RDS using C2Hy is the first dehydrogenation of adsorbed C2Hy that happens with assistance of H atoms adsorbed on the Cu(111) surface. By using C2H2 as the carbon precursor, high-quality single-crystal adlayer-free SLG films are achieved on Cu(111) foils at 900 °C.

Reviewing and assessing emerging trends and needs for research, development and innovation (RDI) and capacity building in a short, medium and long-term perspective

Abstract An important aim of the Partnership is to identify current and future health services and systems priorities and to identify capacity building and training needs to support RDI activities in health and care systems in the Partnership countries and the EU as a whole. This is being done by means of periodical reviews, among others building on scientific research literature, strategic and policy documents and consultations of stakeholders. At the conference workshop, results of the mapping are presented, with a special focus on priority areas that can contribute to health systems transformation towards sustainable and people-centred health and care systems accessible to all. The session will allow participants provide reflections on and refinements to potential common priorities across national RDI agendas. This will provide direction for future research calls, based on an inventory of priorities that are considered by both policy audiences, research and wider stakeholder communities that should be addressed at EU and national levels.

The Ubuntu Way: Ensuring Ethical AI Integration in Health Research

The integration of artificial intelligence (AI) in health research has grown rapidly, particularly in African nations, which have also been developing data protection laws and AI strategies. However, the ethical frameworks governing AI use in health research are often based on Western philosophies, focusing on individualism, and may not fully address the unique challenges and cultural contexts of African communities. This paper advocates for the incorporation of African philosophies, specifically Ubuntu, into AI health research ethics frameworks to better align with African values and contexts. This study explores the concept of Ubuntu, a philosophy that emphasises communalism, interconnectedness, and collective well-being, and its application to AI health research ethics. By analysing existing global AI ethics frameworks and contrasting them with the Ubuntu philosophy, a new ethics framework is proposed that integrates these perspectives. The framework is designed to address ethical challenges at individual, community, national, and environmental levels, with a particular focus on the African context. The proposed framework highlights four key principles derived from Ubuntu: communalism and openness, harmony and support, research prioritisation and community empowerment, and community-oriented decision-making. These principles are aligned with global ethical standards such as justice, beneficence, transparency, and accountability but are adapted to reflect the communal and relational values inherent in Ubuntu. The framework aims to ensure that AI-driven health research benefits communities equitably, respects local contexts and promotes long-term sustainability. Integrating Ubuntu into AI health research ethics can address the limitations of current frameworks that emphasise individualism. This approach not only aligns with African values but also offers a model that could be applied more broadly to enhance the ethical governance of AI in health research worldwide. By prioritising communal well-being, inclusivity, and environmental stewardship, the proposed framework has the potential to foster more responsible and contextually relevant AI health research practices in Africa.

Characterizing and communicating uncertainty: lessons from NASA’s Carbon Monitoring System

Abstract Navigating uncertainty is a critical challenge in all fields of science, especially when translating knowledge into real-world policies or management decisions. However, the wide variance in concepts and definitions of uncertainty across scientific fields hinders effective communication. As a microcosm of diverse fields within Earth Science, NASA’s Carbon Monitoring System (CMS) provides a useful crucible in which to identify cross-cutting concepts of uncertainty. The CMS convened the Uncertainty Working Group (UWG), a group of specialists across disciplines to evaluate and synthesize efforts to characterize uncertainty in CMS projects. This paper represents efforts by the UWG to build a heuristic framework designed to evaluate data products and communicate uncertainty to both scientific and non-scientific end users. We consider four pillars of uncertainty: addressing its origins, severity, stochasticity versus incomplete knowledge, and spatial and temporal autocorrelation. Using a common vocabulary and a generalized workflow, the framework introduces a graphical heuristic accompanied by a narrative, exemplified through contrasting case studies. Envisioned as a versatile tool, this framework provides clarity in reporting uncertainty, guiding users and tempering expectations. Beyond CMS, it stands as a simple yet powerful means to communicate uncertainty across diverse scientific communities.

Unveiling Scholarly Insights: Quality Assurance in Open and Distance Education

Open and distance education (ODE) has continuously evolved, significantly influencing educational, daily, and professional spheres, thereby prompting interest in its sustainability and quality. This study explored global scientific perspectives on quality assurance in ODE using the science mapping method. Search terms centred on open education, distance education, and quality assurance; data was gathered from 4,224 scientific texts in the Web of Science Core Collection. Analyses were conducted using VOSviewer software. Co-authorship analyses explored scientific collaboration structures at the country level. Globally shared concepts of interest to the scientific community were addressed using co-occurrence analyses. A detailed examination of co-occurrence outputs led to classification related to general and emerging key concepts. Results depicted a widespread global interest in quality assurance in ODE, fostering connections based on new cultural similarities. The concept of quality assurance in ODE continues to be enriched and developed, gravitating towards focused learning and instruction, establishing strong ties with various components of regular education as well as human elements. However, the prevailing view of quality assurance has yet to encompass this diversity. Rather than consider the nature and current potential of ODE, it has maintained an externalized and technical perspective.