Here, I suggest that we (anti-big-data-scholars) should stop simply rejecting the concept of data. Instead, we should use our long training in pedagogy and teaching and our knowledge of interpretive and inductive/emergent methods of analysis to create better literacies about what data can mean.
During the 2017/18 Skagen Conference, participants spend intensive time interrogating and developing innovative methods for studying contemporary social conditions. Open to PhD students and early professionals from diverse disciplines.
This is the first of a series of methodology experiments to explore how certain questions or provocative statements elicit critical analysis around the socio-technical characteristics or impact of so-called “Internet of Things.”
What is the impact of visual material on our analysis and theoretical frameworks? This blogpost reflects on the epistemological trajectories and methodological consequences of working with a video camera as an ethnographic tool.
Individual interdisciplinarity is indeed exciting, interesting and useful. But a single thinker can’t contain the knowledge from different disciplines and synthesise it with new approaches to social problems. We need collective interdisciplinarity.