research and academia

  • on setting research questions you can set multiple progressive questions on a topic
    • eg show there is a bias, what is the bias, how can we address it (interventions? technologically? socially? policy?)
  • you can propose new language, new practises, new methodologies as a result of your research
  • at doctoral level you are claiming the knowledge and expertise, new original ‘contribution’
  • learning the process of doing something about it, not just abstract analysis - symbiosis of theory and practise
  • slow labour of constructing and deconstructing your methodologies
  • scope is important, research context for the problem
  • if you have an answer its probably not the right research question
  • ‘participating’ - are they setting the agenda/benefitting etc, beyond tokenistic
  • question everything. is it an assumption? no unsubstantiated claims
  • selecting and simplifying problem space to reduce complexity, scope and purpose, making tractable problems from intractable ones
  • this is how i break down the space of what I’m interested in, and combine with others, multiple models and frameworks
  • model of vs model for
  • practise-led or practise-based
  • practise-led uses practise along the way but the practise isn’t the final contribution in the way it is in practise-based research
  • history of the problem space
  • how the problems are evolving in design and use
  • understanding claims and assumptions and multiple scholars’ and disciplines’ perspectives