This open access book focuses on a particular but significant topic in the social sciences: the concepts of “footprint” and “trace”. It associates these concepts with hotly debated topics such as surveillance capitalism and knowledge society. The editors and authors discuss the concept footprints and traces as unintended by-products of other (differently focused and oriented) actions that remain empirically imprinted in virtual and real spaces. The volume therefore opens new scenarios for social theory and applied social research in asking what the stakes, risks and potential of this approach are. It systematically raises and addresses these questions within a consistent framework, bringing together a heterogeneous group of international social scientists. Given the multifaceted objectives involved in exploring footprints and traces, the volume discusses heuristic aspects and ethical dimensions, scientific analyses and political considerations, empirical perspectives and theoretical foundations. At the same time, it brings together perspectives from cultural analysis and social theory, communication and Internet studies, big-data informed research and computational social science. This innovative volume is of interest to a broad interdisciplinary readership: sociologists, communication researchers, Internet scholars, anthropologists, cognitive and behavioral scientists, historians, and epistemologists, among others.

The hypercomplex digital-technological environment is exponential and revolutionary. Our social mindset adaptation, instead, is slower and evolutionary, as an individual’s or an organization culture needs time to transform. This book offers students, institutions, and organisations innovative and interdisciplinary digital sociology tools to help build an adaptive, flexible, imaginative social mindset in order to cope with such a gap and to match a sustainable digital transformation (DT). By disrupting traditional linear approaches to understand the context into which business models are designed, institutions and students are challenged with innovative transdisciplinary holistic models grounded into business case studies. If the book stimulates students to learn how purposefully and autonomously to explore the web, to grasp the deeper meaning of DT and its social impact, institutions are solicited to answer to direct quests that go right to the core of their transformative DNA as: ‘How effectively are you carrying on DT in a sustainable, people-centred way? Which is your socio-cultural DT profile and what are your DT areas of strength and areas of improvement?' In this frame of work, the innovative Four Paradigm Model indicates new coordinates and provides original tools to profile an institution’s digital transformation strategy, to analyse it, and measure the level of sustainable socio-economic value. Sample syllabi, PowerPoint slides and quizzes are available online to assist in the teaching experience.

"Introduction to the Science of Sociology" by Robert Ezra Park, E. W. Burgess. Published by Good Press. Good Press publishes a wide range of titles that encompasses every genre. From well-known classics & literary fiction and non-fiction to forgotten−or yet undiscovered gems−of world literature, we issue the books that need to be read. Each Good Press edition has been meticulously edited and formatted to boost readability for all e-readers and devices. Our goal is to produce eBooks that are user-friendly and accessible to everyone in a high-quality digital format.

Responding to recent scholarship, this book examines animal domestication and offers a Soiot approach to animals and landscapes, which transcends the wild-tame dichotomy. Following herder-hunters of the Eastern Saian Mountains in southern Siberia, the author examines how Soiot and Tofa households embrace unpredictability, recognize sentience, and encourage autonomy in all their relations with animals, spirits, and land features. It is an ethnography intended to help us reinvent our relations with the earth in unpredictable times.

This volume tackles a quickly-evolving field of inquiry, mapping the existing discourse as part of a general attempt to place current developments in historical context; at the same time, breaking new ground in taking on novel subjects and pursuing fresh approaches. The term "A.I." is used to refer to a broad range of phenomena, from machine learning and data mining to artificial general intelligence. The recent advent of more sophisticated AI systems, which function with partial or full autonomy and are capable of tasks which require learning and 'intelligence', presents difficult ethical questions, and has drawn concerns from many quarters about individual and societal welfare, democratic decision-making, moral agency, and the prevention of harm. This work ranges from explorations of normative constraints on specific applications of machine learning algorithms today-in everyday medical practice, for instance-to reflections on the (potential) status of AI as a form of consciousness with attendant rights and duties and, more generally still, on the conceptual terms and frameworks necessarily to understand tasks requiring intelligence, whether "human" or "A.I."