The looking machine

This book is an ethnography of politics of waiting in the contemporary austerity state. While the global political economy is usually imagined through metaphors of acceleration and speed, this book reveals waiting as the shadow temporality of the contemporary logics of governance. The ethnographic site for this analysis is a state-run unemployment office in Latvia. This site not only grants the author unique access to observing everyday implementation of social assistance programmes that use acceleration and waiting as forms of control but also serves as a vantage point from which to compare Western and post-Soviet workfare policy designs. The book thus contributes to current debates across sociology and anthropology on the increasingly coercive forms of social control by examining ethnographically forms of statecraft that have emerged in the aftermath of several decades of neoliberalism. The ethnographic perspective reveals how time shapes a nation’s identity as well as one’s sense of self and ordinary ethics in culturally specific ways. The book traces how both the Soviet past, with its narratives of building communism at an accelerated speed while waiting patiently for a better future, as well as the post-Soviet nationalist narratives of waiting as a sacrifice for freedom come to play a role in this particular case of the politics of waiting.

Data is not just the stuff of social scientific method; it is the stuff of everyday life. The presence of digital data in an ever widening range of human relationships profoundly unsettles notions of expertise for both ethnographers and data scientists alike. This collection situates digital data in broader knowledge-production practices. It asks about the kinds of social worlds that data scientists are creating as the profession coalesces, and looks at the contemporary possibilities available to both ethnographers and their participants for knowing, formatting and intervening in the world. It shows what digital data is doing to the empirical methods that sustain claims to expertise, with a particular focus on implications for ethnography.

The contributors offer empirically grounded accounts of the cultures, infrastructures and epistemologies of data production, analysis and use. They examine the professionalisation of data science in a variety of national and transnational contexts. They look closely at specific data practices like archiving of environmental data, or claims-making about how software is produced. They also offer a glimpse into the new methodological and pedagogical possibilities for teaching and doing ethnography in a data-saturated world.

Since their emergence in Italy in 1968, ultras have become the most dominant style of football fandom in the world. Since its inception, the ultras style has spread from Southern Europe across North Africa to Northern and Eastern Europe, South East Asia and North America. This book argues that ultras are an important site of enquiry into understanding contemporary society. They are a passionate, politically engaged collective that base their identity around a form of consumption (football) that links to modern notions of identity like masculinity and nationalism. The book seeks to make a clear theoretical shift in studies of football fandom. While it sits in the body of literature focused on political mobilisations, social movements and hooliganism, it emphasises more fundamental sociological questions about group formation, notably collective performances and emotional relationships. By focusing on the common form of expression through the performance of choreographies, chants and sustained support throughout the match, this book shows how members build an emotional attachment to their club that valorises the colours and symbols of that team, whilst mobilising members against opponents. It does this through recognising the importance of gender, politics and violence to the expression of ultras fandom, as well as how this is presented on social media and within the stadium through specular choreographies.