When we think about big data, we often think in terms of quantitative datasets that can be analysed computationally to reveal patterns, trends and associations, especially relating to human behaviour and interactions. The growing availability of large qualitative datasets, through archiving and other forms of data sharing, presents new and exciting opportunities internationally for qualitative research.

This seminar introduces the breadth-and-depth method; a four-step process fusing computational techniques for exploring breadth with more conventional forms of qualitative analysis to provide depth. Working with large amounts of qualitative data enables researchers to scope out new research questions that allow for comparison and claims to generalisability while still retaining the distinctive order of knowledge about social processes that is the hallmark of rigorous qualitative research, with its integrity of attention to nuanced context and detail.

Booking is required for people outside of the Department of Social Policy and Intervention (DSPI).

DSPI Members do not need to register.