Navigating data sovereignty: Lessons for Taiwan – Centre for European Reform
Navigating data sovereignty: Lessons for Taiwan Centre for European Reform
Three Recent Books on Social Media Manipulation, Misunderstanding Science, and Caring about Future People: Opportunities for Behavior Analysts
Abstract
This article reviews three recent books that introduce challenging insights to and suggest critical implications for how behavioral science can address the broad, vexing social issues that challenge human well-being. The Chaos Machine (Fisher, 2022), How the World Really Works (Smil, 2022), and What We Owe the Future (MacAskill, 2022) offer provocative discussions of increasingly important social issues—the impact of social media, the consequences of misunderstanding science, and overcoming the delay discounting that will affect future generations, respectively—that can inform behavior scientists’ thinking about improving the future while presenting a multitude of opportunities to advance our science.
Simulating runoff changes and evaluating under climate change using CMIP6 data and the optimal SWAT model: a case study
Abstract
This study examines the influence of climate change on hydrological processes, particularly runoff, and how it affects managing water resources and ecosystem sustainability. It uses CMIP6 data to analyze changes in runoff patterns under different Shared Socioeconomic Pathways (SSP). This study also uses a Deep belief network (DBN) and a Modified Sparrow Search Optimizer (MSSO) to enhance the runoff forecasting capabilities of the SWAT model. DBN can learn complex patterns in the data and improve the accuracy of runoff forecasting. The meta-heuristic algorithm optimizes the models through iterative search processes and finds the optimal parameter configuration in the SWAT model. The Optimal SWAT Model accurately predicts runoff patterns, with high precision in capturing variability, a strong connection between projected and actual data, and minimal inaccuracy in its predictions, as indicated by an ENS score of 0.7152 and an R2 coefficient of determination of 0.8012. The outcomes of the forecasts illustrated that the runoff will decrease in the coming years, which could threaten the water source. Therefore, managers should manage water resources with awareness of these conditions.
Advancing irrigation management: integrating technology and sustainability to address global food security
Abstract
Irrigation management is essential for addressing global food security challenges under changing climate. This review discusses the integration of advanced irrigation technologies and their roles in enhancing water use efficiency and managing energy demands within agricultural systems. High-efficiency irrigation systems, such as drip and sprinkler systems, have significant potential to reduce water use and increase crop yields. However, their adoption varies worldwide, and the efficiency of existing irrigation practices often remains inadequate, resulting in substantial water losses due to outdated management practices. Emerging technologies and innovative irrigation strategies, including precision agriculture and advanced crop models, provide promising pathways for improving irrigation efficiency. Nonetheless, the widespread integration of these technologies is hindered by high costs, the need for technical expertise, and challenges in adapting existing agricultural systems to new methodologies. Irrigation systems can have substantial energy requirements, particularly those dependent on groundwater. The exploration of the water-environment-energy-food (WEEF) nexus illustrates the importance of a balanced approach to resource management, which is crucial for achieving sustainable agricultural outcomes. Future research should include lowering barriers to technology adoption, enhancing data utilization for precision irrigation, promoting integrated management strategies within the WEEF framework, and strengthening policy support for sustainable practices. This review proposes a multidisciplinary approach to irrigation management that includes technological innovation, strategic policy development, and global cooperation to secure sustainable agricultural practices and ensure global food supply resilience in the face of climate change.
Women in Chemistry: Q&A with Dr Shira Joudan
Dr Shira Joudan is an Assistant Professor in the Department of Chemistry at the University of Alberta in Edmonton, Canada. Her environmental analytical chemistry research group studies the environmental fate of organic contaminants, including halogenated chemicals like per- and polyfluoroalkyl substances (PFAS).
“Deepfakes and Dishonesty”
Abstract
Deepfakes raise various concerns: risks of political destabilization, depictions of persons without consent and causing them harms, erosion of trust in video and audio as reliable sources of evidence, and more. These concerns have been the focus of recent work in the philosophical literature on deepfakes. However, there has been almost no sustained philosophical analysis of deepfakes from the perspective of concerns about honesty and dishonesty. That deepfakes are potentially deceptive is unsurprising and has been noted. But under what conditions does the use of deepfakes fail to be honest? And which human agents, involved in one way or another in a deepfake, fail to be honest, and in what ways? If we are to understand better the morality of deepfakes, these questions need answering. Our first goal in this paper, therefore, is to offer an analysis of paradigmatic cases of deepfakes in light of the philosophy of honesty. While it is clear that many deepfakes are morally problematic, there has been a rising counter-chorus claiming that deepfakes are not essentially morally bad, since there might be uses of deepfakes that are not morally wrong, or even that are morally salutary, for instance, in education, entertainment, activism, and other areas. However, while there are reasons to think that deepfakes can supply or support moral goods, it is nevertheless possible that even these uses of deepfakes are dishonest. Our second goal in this paper, therefore, is to apply our analysis of deepfakes and honesty to the sorts of deepfakes hoped to be morally good or at least neutral. We conclude that, perhaps surprisingly, in many of these cases the use of deepfakes will be dishonest in some respects. Of course, there will be cases of deepfakes for which verdicts about honesty and moral permissibility do not line up. While we will sometimes suggest reasons why moral permissibility verdicts might diverge from honesty verdicts, we will not aim to settle matters of moral permissibility.
Integrated hydrological modelling and streamflow characterization of Gangotri Glacier meltwater
Abstract
Runoff from glaciated catchments is an integrated process that includes glacier melt, snowmelt, rainfall and surface and subsurface runoff of meltwater from glacierized and non-glacierized areas. Monitoring and quantifying the contribution of the hydrologic components (snow, ice and rain) to river discharge in the Himalayan basins is essential for decision-making in the water sector, particularly in water resources management and flood risk reduction in the region. An attempt has been made to characterize and hydrologically model streamflow (Bhagirathi River) for the Gangotri Glacier (Central Himalaya, India). A semi-distributed conceptual hydrological model is used for the streamflow modelling and assessing the major streamflow components (snow melt, glacier melt and rainfall runoff). Initially, the model was calibrated using the available in situ hydro-meteorological records for the ablation seasons of 2013–14 to 2015–16 (3 years), and further validated for the ablation seasons of 2016–17 to 2018–19 (3 years). The model performed well for all the studied years except for some months, where abrupt changes in the contrasting weather parameters (precipitation and temperature) were recorded. In the Gangotri Glacier Valley (upper Bhagirathi River catchment), snowmelt contributed the largest portion (55.5%) to total streamflow followed by glacier melt (29.7%) and rainfall runoff components (14.7%).
Exploring corporate reputation and crisis communication
Abstract
Corporate reputation, the collective perception of company attractiveness towards stakeholders, impacts business outcomes, while effective communication strategies play a critical role in shaping and maintaining the reputation. The role of communication is highlighted during crises, crisis communication being a strategic approach to managing and mitigating the impact of unexpected or adverse events on the reputation, operations, and stakeholders. These concepts are deeply interrelated with interactive marketing. This study explores the dynamics of corporate reputation and crisis communication during a recent global crisis by combining a literature review, opinion mining, and classification analysis. This is because stakeholders rely on various information sources and engage in online discussions, which can impact the reputation, and pose new challenges. The opinion mining analysis draws from the media communication of selected stock-listed companies during a crisis. The key findings shed light on the dynamics of corporate reputation and crisis communication and the impacts on interactive marketing. Critical components of crisis communication are identified to include monitoring, tactics of responding, and response management. Linkages between these, crisis communication theories, and corporate reputation are synthesised. Indications are provided on how the crisis can affect the corporate reputation and the significance of the speed of preventive communication measures.
‘Pain free if I ever will be’: lived experience of workers seeking care for pain attributed to musculoskeletal disorders
Abstract
Background
Pain attributed to musculoskeletal disorders are a significant hinderance to work ability and economic growth, especially in developing countries. Quality of life and lived experience of workers with musculoskeletal disorders have not been explored enough to determine whether person-centred care is provided. There is a wealth of evidence for using the biomedical approach in the management of workers with musculoskeletal disorders, which has proved ineffective in reducing absenteeism and symptoms experienced by workers. The purpose of this study was to explore the lived experience of workers seeking care for musculoskeletal disorders and how their pain attitudes and beliefs influenced their experience.
Methods
A qualitative approach with thematic analysis was used. Purposive sampling was used to recruit six participants for semi-structured interviews. All participants were either experiencing pain attributed to a musculoskeletal disorder or had received care for a musculoskeletal disorder.
Results
Pain attitudes and beliefs of workers with a musculoskeletal disorder and healthcare professionals greatly influenced the care and recovery process of musculoskeletal disorders. There is a primary biomedical lens informing care of workers with musculoskeletal disorders received. Workers expect healthcare professionals to explore their concerns further, but the focus of care for most participants was their presenting complaint. There is also a need for the autonomy of workers to be preserved, and communication between healthcare professionals and workers with musculoskeletal disorders needs to improve.
Conclusions
Many stakeholders are involved in the recovery process from musculoskeletal disorders. There is a need for a biopsychosocial informed practice to improve return-to-work (RTW) in workers with musculoskeletal disorders. Change is needed at all healthcare system levels to reduce the negative experiences of workers and maladaptive pain beliefs that is associated with persisting symptoms and extended absenteeism.