In this paper, we reflect on the disciplinary contours of contemporary sociology, and social science more generally, in the age of ‘big and broad’ social data. Our aim is to suggest how sociology and social sciences may respond to the challenges and opportunities presented by this ‘data deluge’ in ways that are innovative yet sensitive to the social and ethical life of data and methods. We begin by reviewing relevant contemporary methodological debates and consider how they relate to the emergence (...) of big and broad social data as a product, reflexive artefact and organizational feature of emerging global digital society. We then explore the challenges and opportunities afforded to social science through the widespread adoption of a new generation of distributed, digital technologies and the gathering momentum of the open data movement, grounding our observations in the work of the Collaborative Online Social Media ObServatory project. In conclusion, we argue that these challenges and opportunities motivate a renewed interest in the programme for a ‘public sociology’, characterized by the co-production of social scientific knowledge involving a broad range of actors and publics. (shrink)

Although the terminology of Big Data has so far gained little traction in economics, the availability of unprecedentedly rich datasets and the need for new approaches – both epistemological and computational – to deal with them is an emerging issue for the discipline. Using interviews conducted with a cross-section of economists, this paper examines perspectives on Big Data across the discipline, the new types of data being used by researchers on economic issues, and the range of responses to this opportunity (...) amongst economists. First, we outline the areas in which it is being used, including the prediction and ‘nowcasting’ of economic trends; mapping and predicting influence in the context of marketing; and acting as a cheaper or more accurate substitute for existing types of data such as censuses or labour market data. We then analyse the broader current and potential contributions of Big Data to economics, such as the ways in which econometric methodology is being used to shed light on questions beyond economics, how Big Data is improving or changing economic models, and the kinds of collaborations arising around Big Data between economists and other disciplines. (shrink)