Search results

Tribalism is at the forefront of public discussion across the political spectrum in America today. Zombie stories have also risen to unprecedented popularity. Amid present-day racial, political, and otherwise tribal tensions, the story I Am Legend has particular resonance. As the original inspiration behind the modern zombie trope, it was published as a novella in 1954 and has been remade as a film multiple times, in 1964, 1971, and 2007. Using grounded theory, I explore each film regarding what moral attitudes are portrayed concerning confrontation between rival milieus. My findings center on four themes: identification, compassion, ambivalence, and condemnation. Overall, in chronological order, the different renditions of the story exhibit decreasing compassion for the other and decreasing ambivalence about relations with the other. The most dramatic change is between the 1971 and 2007 remakes. Implications for what the changes in the morals presented in the story might reflect in terms of social changes in America are discussed.

In this chapter, a general introduction on artificial intelligence (AI) is given as well as an overview of the advances of AI in different engineering disciplines, including its effectiveness in driving the United Nations Sustainable Development Goals (UN SDGs). This chapter begins with some fundamental definitions and concepts on AI and machine learning (ML) followed by a classification of the different categories of ML algorithms. After that, a general overview of the impact which different engineering disciplines such as Civil, Chemical, Mechanical, Electrical and Telecommunications Engineering have on the UN SDGs is given. The application of AI and ML to enhance the processes in these different engineering disciplines is also briefly explained. This chapter concludes with a brief description of the UN SDGs and how AI can positively impact the attainment of these goals by the target year of 2030.

The chapter compares the survival of old regime elites in Tunisia and Egypt after the 2011 uprisings and analyses its enabling factors. Although democracy progressed in Tunisia and collapsed in Egypt, the countries show similarities in the old elite’s ability to survive the Arab Spring. In both cases, the popular uprisings resulted in the type of elite circulation that John Higley and György Lengyel refer to as ‘quasi-replacement circulation’, which is sudden and coerced, but narrow and shallow. To account for this converging outcome, the chapter foregrounds the instability, economic decline and information uncertainty in the countries post-uprising and the navigating resources, which the old elites possessed. The roots of the quasi-replacement circulation are traced to the old elites’ privileged access to money, network, the media and, for Egypt, external support. Only parts of the structures of authority in a political regime are formal. The findings show the importance of evaluating regime change in a broader view than the formal institutional set-up. In Tunisia and Egypt, the informal structures of the anciens régimes survived – so did the old regime elites.

Arsenic contamination in shallow groundwater aquifers in the lower Gangetic basin constitutes a major health hazard in the Bengal basin extended over Bangladesh and India. It has been estimated that at least 35 million people in Bangladesh and 6 million people in India are severely affected by arsenic-contaminated water. More so, about 57 and 9 million people in Bangladesh and West Bengal, respectively, are exposed to arsenic-contamination risk. The use of hazardous, arsenic-bearing groundwater for drinking, cooking, and irrigation in West Bengal and Bangladesh has led to what has been described by the WHO as the worst case of mass poisoning in human history. In case of West Bengal, the problem of arsenic contamination was discovered in the 1980s; since then several mitigation measures were adopted by the provincial and federal governments, community organizations, and NGOs. Yet, poor infrastructural arrangements, dire poverty, lack of awareness, and education increased the risk of arsenic exposure over the decades. In this chapter, an effort has been made to critically analyze the extent of mitigation measures adopted so far in the state of West Bengal. It discusses in detail the chronological responses of the provincial government in arsenic risk mitigation, implementation of adopted mitigation measures, and the consequent response and actions of arsenic-affected communities in West Bengal. The chapter also highlights the emerging challenges of arsenic risk mitigation in West Bengal and proposes a “system-based” framework for risk mitigation.

This chapter introduces electroencephalography (EEG), a measure of neurophysiological activity, as a critical method for investigating individual and team decision-making and cognition. EEG is a useful tool for expanding the theoretical and research horizons in organizational cognitive neuroscience, with a lower financial cost and higher portability than other neuroimaging methods (e.g., functional magnetic resonance imaging). This chapter briefly reviews past work that has applied cognitive neuroscience methods to investigate cognitive processes and outcomes. The focus is on describing contemporary EEG measures that reflect individual cognition and compare them to complementary measures in the field of psychology and management. The authors discuss how neurobiological measures of cognition relate to and may predict both individual cognitive performance and team cognitive performance (decision-making). This chapter aims to assist scholars in the field of managerial and organizational cognition in understanding the complementarity between psychological and neurophysiological methods, and how they may be combined to develop new hypotheses in the intersection of these research fields.