This content aligns with Goal 3: Good Health and Well-being, Goal 5: Gender Equality, and Goal 9: Industry, Innovation, and Infrastructure by illustrating how digital health and gender empowerment can reduce inequities related to social determinants of health.
This content aligns with Goal 3: Good Health and Well-being, Goal 5: Gender Equality, and Goal 9: Industry, Innovation, and Infrastructure by discussing the potential for digital health technologies to exacerbate existing systemic and structure inequalities, and the ways in which we can avoid this.
This content aligns with Goal 3: Good Health and Well-being, Goal 5: Gender Equality, and Goal 9: Industry, Innovation, and Infrastructure by discussing the digitial health transformation opportunities enabled by Covid-19, as well as the associated issues that must be considered.
This content aligns with Goal 5: Gender Equality and Goal 9: Industry, Innovation, and Infrastructure by providing an overview of the risks of sex and gender biases in Artificial Intelligence evolution, and the ways in which we can prevent them.
This content aligns with Goal 5: Gender Equality and Goal 9: Industry, Innovation, and Infrastructure by providing an overview of the challenges and opportunities associated with Big Data in healthcare, from a sex and gender perspective.
This content aligns with Goal 3: Good Health and Well-being, Goal 9: Industry, Innovation, and Infrastructure, and Goal 10: Reduced Inequalities by discussing the mental health threats and potential benefits of digital technology use by children and adolescents, with a focus on sex and age-related differences.
This content aligns with Goal 3: Good Health and Well-being, Goal 9: Industry, Innovation, and Infrastructure, and Goal 10: Reduced Inequalities by discussing the potential of new technologies, such as technology-based interventions and recovery-oriented mobile applications, to minimize inequalities in substance abuse care accessibility.
This content aligns with Goal 3: Good Health and Well-being, Goal 9: Industry, Innovation, and Infrastructure, and Goal 10: Reduced Inequalities by exploring how digital health can improve personalized oncological care for different populations.
This content aligns with Goal 3: Good Health and Well-being, Goal 9: Industry, Innovation, and Infrastructure, and Goal 10: Reduced Inequalities by exploring how digital health can improve personalized kidney disease care for different populations.
This content aligns with Goal 3: Good Health and Well-being, Goal 9: Industry, Innovation, and Infrastructure, and Goal 10: Reduced Inequalities by considering the potential ethical issues that may arise with digital therapeutics intended for mental health care for different populations.
This content aligns with Goal 5: Gender Equality and Goal 9: Industry, Innovation, and Infrastructure by discussing the potential of smart technologies to improve safety and gender equity in urban environments.
This content aligns with Goal 9: Industry, Innovation, and Infrastructure and Goal 10: Reduced Inequalities by exploring the educational opportunities of artificial intelligence and considering how to ensure the ethical, inclusive, and equitable use of these technologies for all populations.
This scoping review aims to identify trends in studies related to children's online safety education facilitated by digital technologies. The review is guided by the five-stage framework developed by Arksey and O'Malley.
This paper explores the digital imaginaries presented in the educational governance and policy landscape of Colombia through the lens of rurality. It interrogates one policy instrument, namely CONPES 3988, which establishes the importance of digital technologies in national-level educational policies and subsequent strategies.
DeepPack3D: a new open-source Python package that harnesses the power of deep reinforcement learning and innovative heuristics to tackle the complexities of 3D bin packing. With features like customizable lookahead values and real-time visualization, it's designed to empower researchers and developers to push the boundaries of what's possible in supply chain management.
This paper addresses the underexplored environmental impacts of ICT by systematically reviewing 70 studies, identifying common assessment methods and mechanisms, and categorizing solutions into eight main classes within a comprehensive framework. It also evaluates how these solutions align with the UN Sustainable Development Goals, highlighting research gaps and policy implications to better mitigate ICT’s adverse environmental effects.
This research analyzes how socioeconomic and geographical factors influence the development of advanced digital skills in Spain from 2015 to 2021, finding that socioeconomic factors have a greater impact than geographical ones, especially during the COVID-19 pandemic. The study also highlights increased digital skills among employed and unemployed populations, the significance of education and daily internet use, and regional disparities, particularly between Madrid and other areas.
Big data shows significant potential for deep decarbonization in the transportation sector, while advances in artificial intelligence (AI) technologies help extracting valuable knowledge from such data. This study reviews the applications of big data and AI technologies in transportation, encompassing data accumulation, pattern understanding, and uncovering the intricate nexus between transportation activities and carbon emissions, ultimately providing insights for achieving carbon neutrality.
A comprehensive survey of the current research on using Blockchain and Federated Learning (FL) to enhance Intrusion Detection Systems (IDS) for Industrial Internet of Things (IIoT) networks. It examines the security challenges faced by IIoT systems, the potential threats, and the state-of-the-art approaches that leverage Blockchain and FL to address these issues.
The autonomous vehicles can provide real-time information about traffic conditions, congestion, accidents, and other events to the city's infrastructure. This data can help city planners optimize traffic signals, reroute traffic, and make better decisions to reduce congestion and improve overall traffic flow.
The authors focus on evaluating green manufacturing strategies in the wire and cable industry using a modified Z-DEMATEL approach. It discusses the key criteria, their interrelationships, and the implications for decision-makers in promoting sustainable practices within the industry.