The final session is kicking off with Ben Williamson (University of Edinburgh) talking about how digital data is transforming the university. These institutions are increasingly imagined as ‘smart’ organisations built around data infrastructure, with a whole range of innovations being pushed by a diverse array of actors. This has included the Department for Education commissioning developers to produce apps to provide students with data-driven ways to navigate the application process. The problem from a sociological perspective is that the data involved is being treated as an objective window onto the reality of higher education. Data is produced through a range of activities and expresses prior interests, obscured by platforms and services which present it in naive way. Data visualisations distance our attention from the organisational process which produce them. A narrow qualitative representation of a university comes to replace the messy organisational reality, leading to profound limitations for policy and practice. Williamson discusses how we can respond to this through developing new methodologies which better represent the complexity of the university, while replicating some of the advantages which the aforementioned data-driven methods are seen to have.
The second speaker is Helen Kennedy from the University of Sheffield, reflecting on why understanding people’s perceptions and experience of data matters for data futures. While it’s true that we won’t get data policy and practice right unless we listen to expert views on them, unfortunately there’s not a lot of evidence about how data practices are perceived by non-experts.