The social sciences are becoming datafied. The questions once considered the domain of sociologists are now answered by data scientists operating on large datasets and breaking with methodological tradition, for better or worse. The traditional social sciences, such as sociology or anthropology, are under the double threat of becoming marginalized or even irrelevant, both from new methods of research which require more computational skills and from increasing competition from the corporate world which gains an additional advantage based on data access. However, unlike data scientists, sociologists and anthropologists have a long history of doing qualitative research. The more quantified datasets we have, the more difficult it is to interpret them without adding layers of qualitative interpretation. Big Data therefore needs Thick Data. This book presents the available arsenal of new methods and tools for studying society both quantitatively and qualitatively, opening ground for the social sciences to take the lead in analysing digital behaviour. It shows that Big Data can and should be supplemented and interpreted through thick data as well as cultural analysis. Thick Big Data is critically important for students and researchers in the social sciences to understand the possibilities of digital analysis, both in the quantitative and qualitative area, and to successfully build mixed-methods approaches.

Digital work has become increasingly common, taking a wide variety of forms including working from home, mobile work, gig work, crowdsourcing, and online volunteering. It is organizationally, interpretively, spatially, and temporally complex. An array of innovative methodologies have begun to emerge to capture this complexity, whether through re-purposing existing tools, devising entirely novel methods, or mixing old and new. This volume brings together some of these techniques in an accessible sourcebook for management, business, organizational, and work researchers. It presents a range of innovative methods which capture and analyse digitally-related work practices through reflexive accounts of real-world research projects, and elucidates the range of challenges such methods may raise for research practice. It outlines debates and recommendations, and provides further reading and information to support research practice. The book is organised in four sections that reflect different areas of focus and methodological approaches: working with screens; digital working practices; distributed work and organizing; and digital traces of work. It then concludes by reflecting on the methodological issues, research ethics, requisite skills, and future of research given the intensification of digital work during a global pandemic that has impacted all aspects of our lives.

Adeptly navigating one of the most pressing issues on the current global agenda, this topical Research Handbook provides a comprehensive and research-based exploration of the sociology of migration. As well as highlighting the field’s achievements and current challenges, it explores key concepts used in current research, methods employed, and the spheres and contexts in which migrants participate.

This second edition has been comprehensively updated and expanded, from 39 to 49 chapters. The Handbook spans the entire research process, from data collection to analysis and interpretation.

Responding to the increasingly blurred boundaries between humans and technology, this innovative Handbook reveals the intricate patterns of interaction between individuals, machines, and organizations. Using cutting-edge data and analysis, expert contributors provide new insight into the rapidly growing digitalization of society.

The social sciences are becoming datafied. The questions once considered the domain of sociologists are now answered by data scientists operating on large datasets and breaking with methodological tradition, for better or worse. The traditional social sciences, such as sociology or anthropology, are under the double threat of becoming marginalized or even irrelevant, both from new methods of research which require more computational skills and from increasing competition from the corporate world which gains an additional advantage based on data access. However, unlike data scientists, sociologists and anthropologists have a long history of doing qualitative research. The more quantified datasets we have, the more difficult it is to interpret them without adding layers of qualitative interpretation. Big Data therefore needs Thick Data. This book presents the available arsenal of new methods and tools for studying society both quantitatively and qualitatively, opening ground for the social sciences to take the lead in analysing digital behaviour. It shows that Big Data can and should be supplemented and interpreted through thick data as well as cultural analysis. Thick Big Data is critically important for students and researchers in the social sciences to understand the possibilities of digital analysis, both in the quantitative and qualitative area, and to successfully build mixed-methods approaches.