Search Results (6)

To implement the “Green Transition” in civil engineering, this study provides a new critical perspective analyzing the sustainability measures adopted by two European megaprojects. Government regulations and legislation, reward mechanism, technological innovations, the carbon evaluation system as well as tracking and monitoring systems are further discussed in this research to manage megaprojects in a more sustainable way. Document reviews, field trips (both exhibition area and construction sites), and in-depth interviews with relevant stakeholders were conducted regarding two European megaprojects, namely the A16 Ring Road in the Netherlands and Fehmarnbelt Tunnel in Denmark, when it comes to sustainability transitions. Notwithstanding the regional limitations of the selected case studies, the results illustrate that the implemented policies and regulations promote the sustainability transitions in projects and lead to environmental and societal benefits. Among the others, the requirement to quantify the carbon emissions is a central step during the tendering and execution phases of the megaprojects. Future studies need to comprehensively address the challenges related to project management and sustainable transitions as well as delve into other possible practices implemented locally in different locations. Local policies and regulations, innovation in technology and materials as well as the quantification of environmental impacts are key aspects to accelerate such change towards carbon neutrality. Full article

In the context of world education digitalization, the Chinese government has formulated China’s education digitalization strategy. The education digitalization policy tools of provincial governments are an important factor affecting the effectiveness of education digitalization policies. In this study, a text quantification and content analysis is conducted on educational digital policy documents released by eight provinces of China during the 14th Five-Year Plan period in China. This is based on a two-dimensional analysis framework of “instruments-value” using instrument types and policy principles, and NVivo software. The research outcomes reveal the following: (1) The distribution of educational digital policy instrument types is uneven, with an excess of supply-side instruments and a noticeable shortage of demand-side instruments. (2) Different policy instruments exhibit varying degrees of preference in implementing policy principles. There is a stronger emphasis on technology application and balanced development, while the emphasis on service principles promoting diverse participation is relatively weaker. (3) The policy instruments that facilitate interaction between policymakers and educational entities require further strengthening. In light of these findings, local governments in China should strengthen the use of demand-side policy instruments to achieve comprehensiveness and sustainability in educational digitalization. Policymakers should pay more attention to the demands of educational entities to shift educational digitalization from being technology driven to being demand driven. Furthermore, policy instrument selection should adhere to the value of serving and supporting individuals and reinforce the concept of multi-participation in their development, ultimately improving the precision and coordination of policies, and achieving a harmonious integration of technological and value aspects of policy instruments. Full article

The impacts of climate change have become a series of important issues in global public health and environmental governance. As a major developing country with carbon emissions, China has actively participated in global climate and public health governance. The international academic research by Chinese scholars on carbon neutrality has gradually shifted from focusing on technological development to focusing on sustainability, green development, a decarbonization plan, public health and environmental governance. This study uses bibliometrics, scientometrics, and policy documents quantification to carry out a comparative study, comparing the keywords of China’s national “carbon neutrality” policies from 2006 to 2021 with the keywords of international research by Chinese scholars, and analyzes the evolution of the academic and political concerns and development measures of China’s carbon neutrality. It is found that in the stages of preliminary development and steady growth, China’s carbon neutrality research and policy portfolio grew in an orderly manner, and the influence of policy and the promotion of academic research gradually strengthened. After 2020, with the outbreak of the COVID-19, national policies and carbon neutrality research began to focus on green development and public health issues, and the intersections of policy keywords and academic keywords increased. Overall, the focus of Chinese scholars on carbon neutrality research and policy is gradually approaching and integrating, and the degree of interaction and integration between academia and politics is increasing. Under the complex situation of China’s decarbonization plans, climate changes, COVID-19, and international political and economic changes, China’s policy design and development model are conducive to public health, green development, and innovation transformation, and building a community with a shared future for mankind. Full article

For more than 20 years, disaster dynamic monitoring and early warning have achieved orderly and sustainable development in China, forming a systematic academic research system and top-down policy design, which are inseparable from the research of China’s scientific community and the promotion of government departments. In the past, most of the research on dynamic disaster monitoring and early warning focused on specific research in a certain field, scene, and discipline, while a few studies focused on research review or policy analysis, and few studies combined macro and meso research reviews in academia with national policy analysis for comparative analysis. It is necessary and urgent to explore the interaction between scholars’ research and policy deployment, which can bring theoretical contributions and policy references to the top-down design, implementation promotion, and academic research of China’s dynamic disaster monitoring and early warning. Based on 608 international research articles on dynamic disaster monitoring and early warning published by Chinese scholars from 2000–2021 and 187 national policy documents published during this period, this paper conducts a comparative analysis between the knowledge maps of international research hotspots and the co-occurrence maps of policy keywords on dynamic disaster monitoring and early warning. The research shows that in the stage of initial development (2000–2007), international research articles are few and focused, and research hotspots are somewhat alienated from policy keywords. In the stage of rising development (2008–2015), after the Wenchuan earthquake, research hotspots are closely related to policy keywords, mainly in the fields of geology, engineering disasters, meteorological disasters, natural disasters, etc. Meanwhile, research hotspots also focus on cutting-edge technologies and theories, while national-level policy keywords focus more on overall governance and macro promotion, but the two are gradually closely integrated. In the stage of rapid development (2016–2021), with the continuous attention and policy promotion of the national government, the establishment of the Ministry of Emergency Management, and the gradual establishment and improvement of the disaster early warning and monitoring system, research hotspots and policy keywords are integrated and overlapped with each other, realizing the organic linkage and mutual promotion between academic research and political deployment. The motivation, innovation, integration, and transformation of dynamic disaster monitoring and early warning are promoted by both policy and academic research. The institutions that issue policies at the national level include the State Council and relevant departments, the Ministry of Emergency Management, the Ministry of Water Resources, and other national ministries and commissions. The leading affiliated institutions of scholars’ international research include China University of Mining and Technology, Chinese Academy of Sciences, Wuhan University, Shandong University of Science and Technology, and other institutions. The disciplines involved are mainly multidisciplinary geosciences, environmental sciences, electrical and electronic engineering, remote sensing, etc. It is worth noting that in the past two to three years, research and policies focusing on COVID-19, public health, epidemic prevention, environmental governance, and emergency management have gradually increased. Full article

In the last decade, artificial intelligence (AI) has undergone many important developments in China and has risen to the level of national strategy, which is closely related to the areas of research and policy promotion. The interactive relationship between the hotspots of China’s international AI research and its national-level policy keywords is the basis for further clarification and reference in academics and political circles. There has been very little research on the interaction between academic research and policy making. Understanding the relationship between the content of academic research and the content emphasized by actual operational policy will help scholars to better apply research to practice, and help decision-makers to manage effectively. Based on 3577 English publications about AI published by Chinese scholars in 2009–2018, and 262 Chinese national-level policy documents published during this period, this study carried out scientometric analysis and quantitative analysis of policy documents through the knowledge maps of AI international research hotspots in China and the co-occurrence maps of Chinese policy keywords, and conducted a comparative analysis that divided China’s AI development into three stages: the initial exploration stage, the steady rising stage, and the rapid development stage. The studies showed that in the initial exploration stage (2009–2012), research hotspots and policy keywords had a certain alienation relationship; in the steady rising stage (2013–2015), research hotspots focused more on cutting-edge technologies and policy keywords focused more on macro-guidance, and the relationship began to become close; and in the rapid development stage (2016–2018), the research hotspots and policy keywords became closely integrated, and they were mutually infiltrated and complementary, thus realizing organic integration and close connection. Through comparative analysis between international research hotspots and national-level policy keywords on AI in China from 2009 to 2018, the development of AI in China was revealed to some extent, along with the interaction between academics and politics in the past ten years, which is of great significance for the sustainable development and effective governance of China’s artificial intelligence. Full article

We conducted a scoping review of literature to improve our understanding of the accuracy of infectious disease monitoring in migrants in the Europe. We searched PubMed for papers relevant to the topic including: case reports, observational and experimental studies, reviews, guidelines or policy documents; published after 1994. We identified 532 papers, 27 of which were included in the review. Legislation and right to access health care influence both the accuracy of rates and risk measures under estimating the at risk population, i.e., the denominator. Furthermore, the number of reported cases, i.e., the numerator, may also include cases not accounted for in the denominator. Both biases lead to an overestimated disease occurrence. Restriction to healthcare access and low responsiveness may cause under-detection of cases, however a quantification of this phenomenon has not been produced. On the contrary, screening for asymptomatic diseases increases ascertainment leading to increased detection of cases. Incompleteness of denominator data underestimates the at-risk population. In conclusion, most studies show a lower probability of under-reporting infectious diseases in migrants compared with native populations. Full article