This research employs the Bayesian network modeling approach, and the Markov chain Monte Carlo technique, to learn about the role of lies and violence in teachings of major religions, using a unique dataset extracted from long-standing Vietnamese folktales. The results indicate that, although lying and violent acts augur negative consequences for those who commit them, their associations with core religious values diverge in the final outcome for the folktale characters. Lying that serves a religious mission of either Confucianism or Taoism (...) (but not Buddhism) brings a positive outcome to a character (βT_and_Lie_O= 2.23; βC_and_Lie_O= 1.47; βT_and_Lie_O= 2.23). A violent act committed to serving Buddhist missions results in a happy ending for the committer (βB_and_Viol_O= 2.55). What is highlighted here is a glaring double standard in the interpretation and practice of the three teachings: the very virtuous outcomes being preached, whether that be compassion and meditation in Buddhism, societal order in Confucianism, or natural harmony in Taoism, appear to accommodate two universal vices—violence in Buddhism and lying in the latter two. These findings contribute to a host of studies aimed at making sense of contradictory human behaviors, adding the role of religious teachings in addition to cognition in belief maintenance and motivated reasoning in discounting counterargument. (shrink)

Vietnam, with a geographical proximity and a high volume of trade with China, was the first country to record an outbreak of the new Coronavirus disease (COVID-19), caused by the Severe Acute Respiratory Syndrome Coronavirus 2 or SARS-CoV-2. While the country was expected to have a high risk of transmission, as of April 4, 2020—in comparison to attempts to contain the disease around the world—responses from Vietnam are being seen as prompt and effective in protecting the interests of its citizens, (...) with 239 confirmed cases and no fatalities. This study analyzes the situation in terms of Vietnam’s policy response, social media and science journalism. A self-made web crawl engine was used to scan and collect official media news related to COVID-19 between the beginning of January and April 4, yielding a comprehensive dataset of 14,952 news items. The findings shed light on how Vietnam—despite being under-resourced—has demonstrated political readiness to combat the emerging pandemic since the earliest days. Timely communication on any developments of the outbreak from the government and the media, combined with up-to-date research on the new virus by the Vietnamese science community, have altogether provided reliable sources of information. By emphasizing the need for immediate and genuine cooperation between government, civil society and private individuals, the case study offers valuable lessons for other nations concerning not only the concurrent fight against the COVID-19 pandemic but also the overall responses to a public health crisis. (shrink)

Can green growth policies help protect the environment while keeping the industry growing and infrastructure expanding? The City of Kitakyushu, Japan has actively implemented eco-friendly policies since 1967 and recently inspired the pursuit of sustainable development around the world, especially in the Global South region. However, empirical studies on the effects of green growth policies are still lacking. This study explores the relationship between road infrastructure development and average industrial firm size with air pollution in the city through the Environmental (...) Kuznets Curve (EKC) hypothesis. Auto-Regressive Distributed Lag (ARDL) and Non-linear Auto-Regressive Distributed Lag (NARDL) methods were applied on nearly 50-years’ time series data, from 1967 to 2015. The results show that the shape of the EKC of industrial growth, measured by average firm size, depends on the type of air pollution: inverted N-shaped relationships with NO2 and CO, and the U-shaped relationships with falling dust particle and Ox. Regarding infrastructure development, on the one hand, our analysis shows a positive effect of road construction on alleviating the amount of falling dust and CO concentration. On the other hand, the emissions of NO2 and Ox are shown to rise when plotted against road construction. The decline of CO emission, when plotted against both industrial growth and road development, indicates that the ruthlessness of the local government in pursuing green growth policies has been effective in this case. However, the story is not straightforward when it comes to other air pollutants, which hints at the limits of the current policies. The case of Kitakyushu illustrates the complex dynamics of the interaction among policy, industry, infrastructure, and air pollution. It can serve as an important reference point for other cities in the Global South when policies are formed, and progress is measured in the pursuit of a green economy. Finally, as an OECD SDGs pilot city and the leading Asian green-growth city, policymakers in Kitakyushu city are recommended to revise the data policy to enhance the findability and interoperability of data, as well as to invest in the application of big data. (shrink)

Can green growth policies help protect the environment while keeping the industry growing and infrastructure expanding? The City of Kitakyushu, Japan, has actively implemented eco-friendly policies since 1967 and recently inspired the pursuit of sustainable development around the world, especially in the Global South region. However, empirical studies on the effects of green growth policies are still lacking. This study explores the relationship between road infrastructure development and average industrial firm size with air pollution in the city through the Environmental (...) Kuznets Curve (EKC) hypothesis. Auto-Regressive Distributed Lag (ARDL) and Non-linear Auto-Regressive Distributed Lag (NARDL) methods were applied on nearly 50-years’ time series data, from 1967 to 2015. The results show that the shape of the EKC of industrial growth, measured by average firm size, depends on the type of air pollution: inverted N-shaped relationships with NO2 and CO, and the U-shaped relationships with falling dust particle and Ox. Regarding infrastructure development, on the one hand, our analysis shows a positive effect of road construction on alleviating the amount of falling dust and CO concentration. On the other hand, the emissions of NO2 and Ox are shown to rise when plotted against road construction. The decline of CO emission, when plotted against both industrial growth and road development, indicates that the ruthlessness of the local government in pursuing green growth policies is effective in this case. However, the story is not straightforward when it comes to other air pollutants, which hint at limits in the current policies. The case of Kitakyushu illustrates the complex dynamics of the interaction among policy, industry, infrastructure, and air pollution. It can serve as an important reference point for other cities in the Global South when policies are formed, and progress is measured in the pursuit of a green economy. Finally, as an OECD SDGs pilot city and the leading Asian green-growth city, policymakers in Kitakyushu city are recommended to revise the data policy to enhance the findability and interoperability of data as well as to invest in the application of big data. (shrink)

Since Circular 34 from the Ministry of Science and Technology of Vietnam required the head of the national project to have project results published in ISI/Scopus journals in 2014, the field of economics has been dominating the number of nationally-funded projects in social sciences and humanities. However, there has been no scientometric study that focuses on the difference in productivity among fields in Vietnam. Thus, harnessing the power of the SSHPA database, a comprehensive dataset of 1,564 Vietnamese authors (854 males, (...) 705 females) with 2,410 publications in the 2008 – 2018 period was extracted and analyzed. Various factors were considered including age, gender, new authors, leading authors, co-authorship, and Impact Factor. The findings suggest a high level of contribution from authors at the age of 40 – 44 in economics (858 publications) in a 12-years period, which is equivalent to the social medicine total output, and two times more than the total output of the education. Moreover, the presence and reinforcement of male researchers are still dominating in Economics and other fields, with the only exception of education. Despite the rapid rise in the number of Vietnamese lead authors, gender disparity among disciplines is an issue. Contrary to the strong international collaboration-oriented tendency in social medicine, economics, and other fields, educational authors are not open to international collaborating. Finally, most of the publications in economics belong to the group with JIF from 0 to 2, in contrast with the high number of social medicine publications with JIF from 2 to 5, which suggesting the field of economics is fulfilling the quantity, but still, need more quality publications. (shrink)

The studies on the Japanese conception of robots and artificial intelligence (AI) represent an example of the unexpected way cultural specificities influence people’s emotions, thoughts, and behaviors. There is a general view of Western researchers that Japanese people have a strangely high affinity with robots. While Americans associate advanced robots with the image of the Terminators, a killer robot, Japanese tend to associate with Mighty Atom (Astro Boy), a beloved manga character.

As parents, we want to raise our children to become creative, happy, and productive individuals in the future. I am currently raising two small children. More than anything, I find parents’ job is to explore with and educate your children on the landscape of different emotions and how to deal with emotional situations appropriately. However, it is important to acknowledge that even as an adult, I cannot say I have full emotional control and a full scientific understanding of emotions. This (...) essay will explore some aspects of the current scientific theories of emotions and their implications for parenting. (shrink)

In this essay, I argue non-profit and non-governmental social organizations can play a crucial role in enhancing social solidarity in the age of social media. Their strengths lie in their adaptability, memetic power, and credibility. Future research should focus on social organizations' role in rehabilitating public shaming, public epistemology, and cultural dimensions.

Nhật Bản thường được biết đến là một cường quốc khoa học không chỉ ở Châu Á mà trên toàn thế giới với rất nhiều giải thưởng khoa học cao quý và sản lượng khoa học ổn định ở mức cao nhiều thập niên qua. Tuy nhiên, trong khoảng 10 năm trở lại đây, thế giới đã thường xuyên ghi nhận những vụ bê bối về đạo đức nghiên cứu tại Nhật Bản. Xem xét kĩ lưỡng nội dung chi tiết (...) các vụ bê bối có thể thấy Nhật Bản đang gặp phải những thách thức nan giải trong việc ngăn chặn và kiểm soát vi phạm đạo đức nghiên cứu. Một phần quan trọng của thách thức này là sự xung đột giữa một bên là những yếu tố có tính lịch sử và văn hóa, và bên kia là sự phát triển của công nghệ thông tin và xu hướng hợp tác quốc tế mở rộng. Nghiên cứu trường hợp của Nhật Bản có thể mang lại những bài học quan trọng trong việc xây dựng khả năng đào tạo và quản lí đạo đức nghiên cứu tại một nền khoa học mới hội nhập như Việt Nam. (shrink)

In this essay, I discuss the analogy of the mind as a sponge, the issues of cognitive artifacts, and being a mind in the 21st century.

The Nobel Prize-winning economist Robert Shiller published an article in the American Economic Review in 20171 and a book in 20192 , both carrying the term “narrative economics.”.

The discourse on emotional A.I., i.e., technologies that read, classify, identify human emotions, is currently dominated by Western ideas1. Yet, even A.I. researchers in the West acknowledge there are cultural differences if neglected could magnify and affect A.I.'s accuracy.

In his 2013 book, “Moral Tribes: Emotion, Reason, and the Gap between Us and Them,” Joshua Greene1 contemplates two tragedies. The first is the tragedy of the commons, a well- studied problem in the game theory and psychology literature. Here, if people are truly self- interested, cooperation cannot arise, and everyone will use the commons until it is depleted. This problem is succinctly called the “Me vs. Us” problem. The second is the tragedy of the commonsense morality, which Greene named, (...) refers to the problem of cooperation among groups, the “Us vs. Them” problem. (shrink)

My mentor once argues that to reach one's full potential, one must come to term with one's cultural roots. When I first heard it, it seemed to me to be a self-evident truth, a self-help axiom, perhaps. When I reflect on it with my experiences of studying overseas in a multicultural campus, I realize there are a few ways in which it makes sense.

In this essay, I argue the manifestations of social harmony in Confucian societies can be studied quantitatively using the "cultural additivity" framework and phenomenologically using the "mindsponge" model.

Sam Harris1 argues science will eventually answer all of our moral questions, all of our knowledge domains, economics, neurosciences, psychologies, etc. will eventually play a part in telling us what is right and what is wrong.

Since the revival of artificial intelligence (AI) research, many countries in the world have proposed their visions of an AI-powered world: Germany with the concept of “Industry 4.0,”1 Japan with the concept of “Society 5.0,”2 China with the “New Generation Artificial Intelligence Plan (AIDP).”3 In all of the grand visions, all governments emphasize the “human-centric element” in their plans. This essay focuses on the concept of trust in Confucian societies and places this very human element in the context of an (...) increasingly AI-powered world. (shrink)

TS Vương Quân Hoàng (Đại học Thành Tây, Hà Nội và ULB, Bỉ) đề xuất trên Scientific Data Updates việc kết hợp bộ ba yếu tố dữ liệu mở, phản biện mở và đối thoại cộng đồng mở như một giải pháp đáp ứng đòi hỏi của xã hội đối với độ tin cậy của các kết quả nghiên cứu.