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.
MoRM lives within the larger umbrella (or cloud?) of Future Making. Here’s a possible way of visualizing this larger effort.
short video clip showcasing the exhibition of MoRM at the Museu del Disseny in Barcelona. Held in collaboration with two local groups: The D-Futures project and Diásporas Críticas activist collective.
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.”
In this post, Dr. Margie Borschke riffs on the question of “Can you turn your process into product?”, a question she uses to provoke journalism students to extend their imagination about what counts.
Student researchers from Digital Living MA Programme designed an exhibition of the Museum of Random Memory (MoRM) highlighting its value as data literacy. Held at the Aarhus Festival of Research in April 2017.
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.