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Utility strikes have spawned companies specializing in providing a priori analyses of the underground. Geophysical techniques such as Ground Penetrating Radar (GPR) are harnessed for this purpose. However, analyzing GPR data is labour-intensive and repetitive. It may therefore be worthwhile to amplify this process by means of Machine Learning (ML). In this work, harnessing the ADR design science methodology, an Intelligence Amplification (IA) system is designed that uses ML for decision-making with respect to utility material type. It is driven by three novel classes of Convolutional Neural Networks (CNNs) trained for this purpose, which yield accuracies of 81.5% with outliers of 86%. The tool is grounded in the available literature on IA, ML and GPR and is embedded into a generic analysis process. Early validation activities confirm its business value.

This chapter examines the lifestyles of upper-middle- and upper-class return migrant parents and youth living in Bangalore, a city in southwest India. It does so by addressing the following questions: What benefits do return migrant parents see in raising their children within their country of ethnic origin? What are the experiences of youth who grow up within their country of ethnic origin? I answer these questions by analysing 95 conversations with return migrant parents and their children, as well as alumni of Bangalore-based high schools. Building upon literature related to parenting, social class and racial-ethnic socialisation, I discuss parents' efforts to produce children who have the skills needed to succeed within the twenty-first-century global economy, and how the youth experience these child-rearing practices.

Research and innovation are a major national priority in India and are conducted across a diverse group of institutions. While Research Management (RM) activities were previously integrated into researcher and other roles in India, there is now recognition that RM services rendered by professionally trained staff can reduce the administrative burden on researchers, thereby enhancing the ease of doing research. This chapter provides context on the complex higher education and research ecosystem in India, outlines the circumstances leading to the development of RM support at Indian institutions, and highlights the contributions of the India Research Management Initiative in creating a community of practice for RM. The chapter concludes with some projections for the future of RM in India.

This first chapter explores the basic foundation of corporate ethics: the human person in all its dignity and mystery, its corporeality and emotionality, and its cognitive and volitive capacities of moral development. Four fundamental characteristics of the human person, namely individuality, sociality, immanence, and transcendence, will be examined for their potential to understand, live, experience, and witness corporate ethics and morals. We explore the profound meaning and mystery of human personhood invoking several philosophies of the good and human dignity as exposed by Aristotle and Thomas Aquinas in the West, by the doctrine of Dharma in the East as expounded by Gautama Buddha, Mahabharata, and Bhagavad Gita, and by Prophets Confucius and Tao, in the East. Several contemporary cases of great human personhood are analyzed: for example, Peace Nobel Laureate Nelson Mandela from South Africa (1993) and Peace Nobel Laureate Liu Xiaobo from China (2017) – cases of human abuse that turned into triumphs of human dignity.