“Missing” health data

Collecting data about what you do to keep fit and healthy seems simple – just wear that Fitbit, keep up with your spreadsheets, use a tracking app. But the practice is a lot more complicated than that.

  • You are more likely to track your diet when you are actively trying to eat more healthily
  • Using a Fitbit goes beyond wearing it – it needs to be charged, stored carefully so that it doesn’t get lost, and it needs to keep working without breaking down .
  • Tracking apps can range from easy (but not covering what you want to track) to fiddly (with a daunting range of options).
  • Habit tracking apps remind you of all those times when you weren’t a good boy/girl/person, so you only use them when you’re confident you can be “good”.

How do you account for those patterns of use and non-use when analyzing your own data and that of others? This is what I’m going to address in my Faculty Fellowship at the Alan Turing Institute.