Analisis Analisis Peran dan Tantangan Sukuk Hijau Bagi Ketahanan Perubahan Iklim Pada Wilayah Rentan Selama Pandemi Covid-19

Sovereign Sukuk has become a promising instrument for a country to overcome difficulties in financing government projects. Sukuk is a financial instrument for the Islamic capital market with a low level of risk. Green sukuk becomes popular since most of the conventional investment activities ignore the environment aspect. Starting in 2018, Indonesian government has developed a green sukuk scheme as a financing instrument for environmentally friendly projects to reduce the impact of global climate change. This study aims to analyze the role and challenges of green sukuk for climate change resilience in highly vulnerable areas during the Covid-19 crisis. This study is conducted through a qualitative method with a phenomenological approach. Data collections are carried out through literature studies and case studies on some climate projects in highly vulnerable areas in Indonesia. The results show that during the Covid-19 pandemic, green sukuk has contributed an important impact for climate change resilience in highly vulnerable areas. There are some challenges in the development of green sukuk. The lack of awareness of social risks as well as environmental risks have become main challenges. In the future, the decision policy makers should provide greater incentives and a more inclusive legal umbrella for green financing schemes.

The Work Environment of Immigrant Employees in Sweden—a Systematic Review

The aim of this systematic review was to summarize and synthesize research results focusing on the work environment of employees with an immigrant background in Sweden. We focus on the main conditions identified in the working environment of immigrant employees and how these conditions may affect their health and well-being. The concept of “minority stress” and the attachment theory are used to understand and interpret the findings. We systematically searched for literature published between the years of 1990 and 2020 in four databases, Web of Science, PubMed, SocIndex, and Academic Search Elite. We started the selection process by reading title and abstracts, then proceeded to read a selection of full-text studies and eliminated those that did not fulfil the inclusion criteria. We did a quality assessment on the full-text studies based on the MMAT-tool, and then performed a narrative synthesis of the results. The results show that immigrants experience several stressors in their work environment, including physical, psychological, and social risks. These risks are, among other things, associated with the nature of the jobs that immigrants are overrepresented in, with minority-related stressors such as discrimination, harassment, and threats on the basis of ethnic background, and with the lack of social support from managers and colleagues. Results also highlight beneficial factors in the immigrants’ working environment and show the importance of a supportive, inclusive, and empowering management. Our main conclusion is that Swedish workplaces need to introduce more active measures to raise awareness of and combat workplace discrimination, work harder to promote inclusion at the workplace, and eliminate physical, psychological, and social health hazards specific to immigrant employees. The leadership and management have an important role to play here, as does the employees’ trade unions and its special functions.

Leveraging Digital Tools and Crowdsourcing Approaches to Generate High-Frequency Data for Diet Quality Monitoring at Population Scale in Rwanda

Diet quality is a critical determinant of human health and increasingly serves as a key indicator for food system sustainability. However, data on diets are limited, scattered, often project-dependent, and current data collection systems do not support high-frequency or consistent data flows. We piloted in Rwanda a data collection system, powered by the principles of citizen science, to acquire high frequency data on diets. The system was deployed through an unstructured supplementary service data platform, where respondents were invited to answer questions regarding their dietary intake. By combining micro-incentives with a normative nudge, 9,726 responses have been crowdsourced over 8 weeks of data collection. The cost per respondent was < $1 (system set-up, maintenance, and a small payment to respondents), with interactions taking <15 min. Exploratory analyses show that >70% of respondents consume tubers and starchy vegetables, leafy vegetables, fruits, legumes, and wholegrains. Women consumed better quality diets than male respondents, revealing a sex-based disparity in diet quality. Similarly, younger respondents (age ≤ 24 years) consumed the lowest quality diets, which may pose significant risks to their health and mental well-being. Middle-income Rwandans were identified to have consumed the highest quality diets. Long-term tracking of diet quality metrics could help flag populations and locations with high probabilities of nutrition insecurity, in turn guiding relevant interventions to mitigate associated health and social risks.

Contemporary information social risks in the post-modern era

The article analyses the global social risks related to the expansion of information technologies, mass digitalisation, and the accessibility of sources of all information. The possibility of risky situations arising in different areas of society under postmodern conditions has been demonstrated. This is due to the massive spread of information and Internet technology, global changes in the structure of values of modern society, and the reassessment of a number of historical events and characters by some social groups. The focus is on the destruction of traditional mechanisms for transmitting social experience and memory and the transformation of perceptions of history through the use of virtual forms of communication. A different, own interpretation of historical events, the liberation of historical knowledge from politicisation and mythologisation can lead to risks of distortion of historical memory and even to conflicting situations of interpretation of the past. Case studies show that this, in turn, can lead to a set of risks in the economic sphere, for example: the risk of a situation of global redistribution of economic resources, the risk of losing the source of legitimacy of an economic resource, the risk of loss the reputation of a memory entity. These processes negatively affect social stability in society and distort the integrity of historical memory.Particular attention is paid to the topic of cognitive transformation risk related to the mass use of virtual media in the educational process. On the one hand, they are an effective teaching tool based on rapid search, transformation and storage of learning information. But, on the other hand, practice shows that knowledge loses its consistency and becomes “mosaic”, “clichéd”. The consequences of these processes are of a lasting nature and require further in-depth study by the scientific community, including psychologists, educators, and sociologists.

Climate change in Russia – problems of public health

Climate change and the accompanying social risks have already become one of the main problems of the world community. An increase in the frequency and duration of natural disasters (floods, typhoons, mudflows, etc.) lead to significant loss of life. Heat waves have caused excess mortality among the urban population, especially among Russian megacities. WHO initiated the development of national adaptation plans, and Russia has accumulated some experience in developing a regional action plan using the example of the Arkhangelsk region. and a local plan in Moscow. The National Adaptation Plan of the Russian Federation provides for the participation of the Ministry of Health, but there is no intersectoral interaction, the best practices of other countries have not been sufficiently studied.

Education as a Social Policy Tool and Educational Policies of Azerbaijan for Youth

Young people should present a future, create a human resource for the progress of societies, and protect young people against social risks. At this point, the protection of youth through public policies is one of the main areas of Azerbaijani public policies. The problems faced by young people in access to education and the problems experienced by educated young people in gaining a place in the labor market are some of the main youth problems. In this respect, it is of academic importance to examine the social policies offered by the Government of Azerbaijan for young people. The main framework of the study is the educational status of young people, the general framework of policies for young people, and social policies presented in the face of educational problems.

Status of Use of the Skin Care Room According to the Perception of Social Risks Caused by Covid-19

This study sought to understand the actual status of skin care offices due to the recognition of social risks caused by Corona 19. The survey was conducted on X, M, and Z generation women using the SPSS WIN 25.0 program. Analysis techniques performed frequency and percentage, χ2 (Chi-square) verification and frequency analysis, One-way ANOVA, T-test, Correlation, and Regression. The results of the study are as follows. First, generation Z was the most common among 386 people, followed by generation M and generation X. Second, Generation X showed the most interest in skin care. Third, women perceive the social risk of coronavirus as high. Fourth, it was found that the skin care center was used a lot before Corona 19, and after Corona 19, the skin care center was not used due to the anxiety of the coronavirus infection. Fifth, if the situation stabilizes after the end of the corona 19, it is highly willing to use the skin care office. Therefore, we hope that this study will be used as a basic data for preparing alternatives to revitalizing the skin care center.

Research on Community Public Service Information Collaborative Governance Based on Deep Learning Model

The communities have significantly increased in number and the environment has become complex. There are problems such as poor information collection in community public service information governance, lack of relevant analysis standards and models, and unreliable prediction results. In order to forecast and manage the risk information of the community, this research analyzes the public information of the community through the collaborative deep learning model. First of all, the information characteristic factors are selected that affect social risks based on the correlation analysis theory. Secondly, the convolutional neural network is used in deep learning for simulation of the community risk prediction model. Finally, through the comparative analysis of the model prediction results, it can be concluded that the accuracy rate of the proposed prediction model reaches 92.5%. An effective collaborative deep learning model is used to govern community public service information.

Social Stability Risk Diffusion of Large Complex Engineering Projects Based on an Improved SIR Model: A Simulation Research on Complex Networks

The development of China’s new urbanization has driven the rapid increase in large complex engineering projects, which have the characteristics of large-scale investment, long-term construction, and wide social influence, easily causing benefit conflicts among relevant stakeholders, and breaking out social stability risks. In the previous research, the risks of large complex engineering projects mainly concentrated on the assessment of economic risk, schedule risk, etc. However, there were few studies on social risks, and they did not consider how the risks spread on the complex networks based on the social connections such as interpersonal relationship. From the subject of social stability risk diffusion of large complex engineering projects, this paper constructs a related risk diffusion model based on the SIR model to analyze risk diffusion mechanism. Through NetLogo simulation platform, the model is placed under a small-world network environment that is closest to the topology structure of real social interpersonal relationship network for simulation research, aiming to find out key factors of social stability risk intervention for large complex engineering projects, which greatly contributes to the social stability risk management of large complex engineering projects.