Diagrams – indicators, levels, methods of close not deep, process – 1. Ngam | 14.01.2021

In this series of posts I am publishing/sharing some working and research diagrams which are helpful in articulating some key problems and methodological questions when researching infrastructure. While they relate to general questions when studying infrastructure, I am especially interested in how they can be and indeed must be developed for the increasingly complex, systemic infrastructures of staging, publicising, meaning making and mediation as they interpenetrate with the cultural infrastructures of the field of art, design and architecture.

These problems are familiar, if not fully discussed in the frame described above, and include:

  • The problem of indicators and levels (Star, 1999). Or, how at each level of infrastructural operation or action, a different kind of indicator is necessary, eve if the overall infrastructure is a combination of all these layers. For instance, we can think about infrastructure as an artefact; or as a trace or recording of activities, where the infrastructure is also an information collecting device; or it could be a representation of a / the world. (Star, 1999, 387–388)
  • The need to read with the action of infrastructure, getting close but not deep (Love, 2010) in order to move with and across these levels. As soon as one tries to fix in and read into or interpret an infrastructure as an object, it ceases to be actively infrastructural (a point also made by Easterling, 2016), and we can no longer see what it does, how its through put patterns the world (Berlin, 2016), or its effect as a relation to its process.
  • Understanding and articulating the information and meaning of infrastructure as a process rather than quality, processes inherent to infrastructure, but not mutually exclusive to other forms of meaning (Hayles, 2017), and reflecting on an representing the action and outcomes of these ways of thinking, meaning-making, staging and so on.

Note: these diagrams are exploratory and primarily concern methodological questions. They are not necessarily to be considered ‘findings.’

The first is a series of ngrams using Google (https://books.google.com/ngrams), which measure the frequency of word usage in language corpuses. (I began thinking about this kind of pattern recognition as research method for infrastructure in a workshop series on digital humanities for the arts “Arts and Humanities in the Digital Age”: https://chasedigitalage.wordpress.com.)

They are certainly research prompts at this stage. A place holder.