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This chapter studies the effects of the COVID-19 pandemic on the economic structure of the US and EU economies by measuring its impact on some reference macro-economic variables. We use a factor model approach on a set of variables available at different frequencies (daily, weekly, monthly, and quarterly) and provide evidence of instability in the primary factors driving the economy. A sequential analysis of the factors allows us to evaluate the model's forecasting performance and extract some instability measures based on the factor model's eigenvalues. Finally, we show how to use COVID-related variables, such as policy, economic, and health indicators, to compute conditional forecasts with factor models, and perform a scenario analysis on the variables of interest to understand economic instability.

This is the third in a series of papers aimed at providing models effective in predicting the degree of pain and discomfort in canines. The first two papers provided benchmarking and examination of dogs suffering from osteoarthritis (OA). In this chapter, we extend the study to include dogs suffering from OA, sarcoma, and oral mucositis (a side effect of chemotherapy and radiation treatments). The R programming language and SAS JMP are used to clean data, generate ANOVA, LSR regression, decision tree, and nominal logistic regression models to predict changes in activity levels associated with the progression of arthritis. The predictive models provide a diagnostic basis for determining the degree of disease in a dog (based on demographics and activity levels) and provide forecasts that assist in establishing appropriate medication dosages for suffering dogs.

The global demand for agricultural commodities may more than double in the second half of the twenty-first century. It has been suggested that rapidly growing world needs in food and agriculture can be met by expanding the acreage or cultivation of existing farmland. Because available land for farming is limited, about 90% of future production growth is expected to result from yield growth, with only 10% realized at the cost of acreage expansion.

In this chapter, we analyze the multitude of social benefits of modern agriculture. We also expand the traditional analysis of the return to research methodology by explicitly including environmental and other benefits of crop yield growth.

A key result of our analysis is that the environmental benefits of productivity growth far exceed the direct economic benefits to consumers and producers from an expansion of production. Hence, restricting analysis solely to price and quantity effects seriously underestimates the social benefits of modern agriculture.

The environmental benefits of yield growth in modern agriculture far exceed the traditional measure of social welfare.

Purpose: The purpose of this paper is to scientifically test the credibility (proof or refutation) of the existing argument for a technological leap in the COVID-19 pandemic and the post-pandemic period.

Design/Methodology/Approach: The conducted review of existing sources of research literature showed that they have formed an insufficient scientific background for a clear understanding of digital deprivation of services, social contradictions and conflict management as components of technological leap amid the COVID-19 pandemic and in the post-pandemic period. To fill the identified gap in the system of scientific knowledge, this work uses the method of comparative analysis of statistical data. Some countries of the world, the EU countries and the United States, which are characterized by the largest population and the largest contribution of investments to the digitalization of value chains and the development of innovations, were selected as objects for this study.

Findings: Research has shown that rapid digitalization is impacting all aspects of life, including not only how value is created and exchanged, but also how we interact, operate, purchase and receive services. In this process, data and its international flows are becoming increasingly important for development. The usual digital gap associated with connectivity, reflecting significant differences between and within countries in readiness to use the power of data, is exacerbated by what might be termed the data gap. Countries with limited opportunities to transform digital data into digital analytics and entrepreneurial opportunities, and to use them for economic and social development, are obviously at a disadvantage.

Originality/Value: Digital data have been proven to be one of the top strategic assets for creating both private and public value. Our ability to meet the Sustainable Development Goals (The 2030 Agenda for Sustainable Development, 2015) depends a lot on how these data are applied. The idea of sustainable development arose, as it is known, for overcoming significant fluctuations in the positive transformation of society, and for the alignment in the pace and results of the transition of various countries to the post-industrial scenario of progress. There are many obstacles on the path of sustainable development, which hinder the transition to this vector of transformation. First, the gap in economic and social development between the countries of the ‘golden billion’ and many other countries has not been reduced. Second, the digital gap continues to deepen. But a new and extremely threatening danger on the path to the transition to sustainable development has become the global crisis caused by the COVID-19 pandemic that emerged in early 2020 and is still ongoing.

Determining the right course for the future is a difficult task, but its solution cannot be postponed. Data are multidimensional, and their use has an impact not only on trade and economic development but also on human rights, peace and security. In addition, measures should be taken to reduce the risk of misuse and unauthorized use of digital data by states, non-states or the private sectors to avoid the possibility of global social conflict.

Purpose: The paper aims to explore gender conflict as a factor of global technological inequality from a modelling and conflict management perspective through an analysis of women’s participation in science.

Design/methodology/approach: A review of the existing research literature has shown that there is an insufficient scientific basis for identifying the extent of gender conflict as a factor of global technological inequality through an analysis of women’s participation in science. Statistical data analysis is used to fill the identified gap in the scientific knowledge system. The countries chosen for study are those with the largest gender gaps and technological inequalities in terms of women’s participation in science and knowledge-intensive industries as well as in R&D.

Findings: The chapter reviews the factors that make the case, from an academic perspective, for the technological inequalities and gender gaps in the world leading to global employment conflict. The field of education encompasses numerous interrelated aspects, ranging from the level of demand and supply of educational opportunities to the access and delivery of education. These aspects also relate to the quality of teaching and the learning process, the effectiveness of the education system, individual learning outcomes, and the impact of education on the development and well-being of the individual, the community and the country as a whole. Scientific researchers make an important contribution to improving the quality of the education system: scientific research produces new knowledge further implemented through the education system. Such knowledge can improve people’s lives. Research is often carried out in universities, but also in the commercial sector, particularly in high-tech companies (Research and Development).

Originality/value: Education has been proven to be one of the resources that provide people with equal opportunities in life. Integrating a gender perspective into education includes assessing and promoting gender equality in learning opportunities available to men and women throughout their lives, especially during compulsory education. The gender approach also includes assessing the fairness of the delivery of educational services (such as training, management and course content).

Purpose: The purpose of this chapter is to scientifically verify the credibility (prove or disprove) the existing argument for the global technological inequality within the conflict of traditions and innovations, as well as from the perspective of social consequences of the innovative development of the economy and the basics of conflict management.

Design/methodology/approach: A review of existing sources of research literature has shown that they formed an insufficient scientific basis for determining the essence and scope of social consequences of the innovative development of the economy and the basics of conflict management in terms of global technological inequality. The method of comparative analysis of statistical data over time is used to fill the identified gap in the scientific knowledge system in this chapter. The top 10 countries of the world, which are characterized by the highest level of the innovative development of the economy, were chosen as the objects of study.

Findings: This chapter presents a review of facts determining that there are arguments for the conflict of traditions and innovations against the backdrop of global technological progress from a scientific perspective, a conflict that has social consequences for the innovative development of the economy and the basics of conflict management. Today, the protection and promotion of national interests are being increasingly determined by digitalization as the primary function of diplomatic services. For example, cybersecurity affects national security; web platforms support the economic well-being of citizens and companies; the Internet contributes to the development of healthcare, education and other essential social services, especially during the crisis caused by the COVID-19.

Originality/value: It is expected that wide introduction of high technologies in developed countries will reduce the competitive ability of currently less industrialized economies of Asia and Africa in terms of cost of labour, will increase the technological gap between them and developed countries that will diversify their economies and create more jobs. In the past, countries such as China, Mexico, Brazil and several Asian countries were climbing the income ladder, transferring labour force and capital from the relatively inefficient agricultural economy to the more efficient products and services. Today, there are fears that high technologies and Industry 4.0 will revolutionize these conventional development processes, making a thorny path even more thorny, and will lead to conflicts of traditions and innovations as a source of global technological inequality.