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This paper will provide an overview of the contemporary surveillance environment in the age of Big Data and an insight into the complexities and overlap between security, bodily and informational surveillance as well as the subsequent impacts on privacy and democracy. These impacts include the ethical dilemmas facing librarians and information scientists as they endeavour to uphold principles of equality of access to information, and the support of intellectual freedom in private in an increasingly politicised informational environment. If we accept that privacy is integral to the notion of learning, free thought and intellectual exploration and a crucial element in the separation of the state and the individual in democratic society, then the emergence of the data age and the all-encompassing surveillance and exposure of once private acts will undoubtedly lead to the reimagining of the social and political elements of society.

This chapter explores how data-driven methods such as Artificial Intelligence pose real concerns for individual privacy. The current paradigm of collecting data from those using online applications and services is reinforced by significant potential profits that the private sector stands to realize by delivering a broad range of services to users faster and more conveniently. Terms of use and privacy agreements are a common source of confusion, and are written in a way that dulls their impact and dopes most into automatically accepting a certain level of risk in exchange for convenience and “free” access. Third parties, including the government, gain access to these data in numerous ways. If the erosion of individual protections of privacy and the potential dangers this poses to our autonomy and democratic ideals were not alarming enough, the digital surrogate product of “you” that is created from this paradigm might one day freely share thoughts, buying habits, and your pattern of life with whoever owns these data. We use an ethical framework to assess key factors in these issues and discuss some of the dilemmas posed by Artificial Intelligence methods, the current norm of sharing one's data, and what can be done to remind individuals to value privacy. Will our digital surrogate one day need protections too?

This chapter lays out a research agenda in the sociology of work for a type of data and organizational intermediary: work platforms. As an example, the authors employ a case study of the adoption of automated hiring platforms (AHPs) in which the authors distinguish between promises and existing practices. The authors draw on two main methods to do so: critical discourse analysis and affordance critique. The authors collected and examined a mix of trade, popular press, and corporate archives; 135 texts in total. The analysis reveals that work platforms offer five core affordances to management: (1) structured data fields optimized for capture and portability within organizations; (2) increased legibility of activity qua data captured inside and outside the workplace; (3) information asymmetry between labor and management; (4) an “ecosystem” design that supports the development of limited-use applications for specific domains; and (5) the standardization of managerial techniques between workplaces. These combine to create a managerial frame for workers as fungible human capital, available on demand and easily ported between job tasks and organizations. While outlining the origin of platform studies within media and communication studies, the authors demonstrate the specific tools the sociology of work brings to the study of platforms within the workplace. The authors conclude by suggesting avenues for future sociological research not only on hiring platforms, but also on other work platforms such as those supporting automated scheduling and customer relationship management.

Blockchain is often presented as a technological development; however, clearly it is not only that: the ‘Blockchain buzz’ exists in the context of current social and political developments. In this essay, we analyse blockchain technology and its social and political context from a perspective of Marxist economic theory. Since arguably the last great inflection point in society and technology was analysed by Marx in terms of labour and capital and since we seem to be experiencing a shift in the balance between these forces today, it makes sense to revisit the Marxist ideas and apply them to the current situation, to see how well they still apply and if necessary to update them for current events.

The implications and impacts of the educational intelligent economy from the vantage point of digital frontierism is explored using a decolonial framework, with a specific focus on Big Data and data sharing in Comparative and International Education (CIE). Recent debates are reviewed about CIE’s past histories and its current directions to tease out their implications for data sharing. The authors demonstrate how data sharing continues to reinforce imperialism through control, dissemination, and application of data, and how electronic and digital colonialism preserve current intellectual and structural hegemonies. Then, we give an example of how donors and funding agencies, including the National Science Foundation, engage in neoliberal scientism and control of data, and how it affects the future of social sciences, including CIE. Our inquiry is at the intersections of economic intelligence and educational intelligence in a rapidly evolving technocentric, data-dominated, and networked economy. The authors demonstrate how educational intelligence in the global economy may exacerbate the asymmetric access to data between the global North and the South, as educational data are increasingly becoming global commodities to be traded between various public and private actors. Finally, the authors argue that decolonial participatory research designs that aim at positive, sustained transformations, as opposed to the stagnancy of Big Data and data mining, should be used to address the problems inherent to the Educational Intelligent Economy.

This chapter explores distributed leadership in volunteer multistakeholder groups tackling complex problems, focusing on community organizing practices to bridge the gap between health and health care in Columbia, South Carolina. Columbia faces increasing chronic disease, high rates of uninsured, unequal access to healthcare services, and rising costs. Regional leaders periodically tackled these problems together but faced challenges common to multistakeholder groups. In 2010, leaders from Columbia partnered with the authors in a learning enterprise to find new, more sustainable ways to address these challenges. Together we adapted a community organizing approach to develop distributed leadership skills necessary to overcome the challenges of volunteer multistakeholder groups and transform the health system in a local area. In the first year, teams provided health screenings to over 1,000 residents; over 3,000 residents exercised leadership to improve community health; over 5,000 residents pledged to improve their health. Clinic hours were extended; new health coaches focused on primary care and wellness programs. Providers and payers committed to reinvesting a share of savings in the community, which has a voice in their use. We show that developing distributed leadership via community organizing offers an approach to solving seemingly intractable community problems.