Jonathan Gray has published an article on Data Worlds, as a way to better understand and experiment with the consequences of the datafication of our lives. The article appeared in Krisis, an open access journal for contemporary philisophy, in its latest edition dealing with Data Activism.

Jonathan Gray writes

The notion of data worlds is intended to make space for thinking about data as more than simply a representational resource, and the politics of data as more than a matter of liberation and protection. It is intended to encourage exploration of the performative capacities of data infrastructures: what they do and could do differently, and how they are done and could be done differently. This includes consideration of, as Geoffrey Bowker puts it, “the ways in which our social, cultural and political values are braided into the wires, coded into the applications and built into the databases which are so much a part of our daily lives”

He describes 3 ‘data worlds’, and positions them as an instrument intended for practical usage.

The three aspects of data worlds which I examine below are not intended to be comprehensive, but illustrative of what is involved in data infrastructures, what they do, and how they are put to work. As I shall return to in the conclusion, this outline is intended to open up space for not only thinking about data differently, but also doing things with data differently. The test of these three aspects is therefore not only their analytical purchase, but also their practical utility.

Those 3 worlds mentioned are

  1. Data Worlds as Horizons of Intelligibility, where data is plays a role in changing what is sayable, knowable, intelligible and experienceable , where data allows us to explore new perspectives, arrive at new insights or even new overall understanding. Hans Rosling’s work with Gapminder falls in this space, and datavisualisations that combine time and geography. To me this feels like approaching what John Thackara calls Macroscopes, where one finds a way to understand complete systems and one’s own place and role in it, and not just the position of oneself. (a posting on Macroscopes will be coming)
  2. Data Worlds as Collective Accomplishments, where consequences (political, social, economic) result from not just one or a limited number of actors, but from a wide variety of them. Open data ecosystems and the shifts in how civil society, citizens and governments interact, but also big data efforts by the tech industry are examples Gray cites. “Looking at data worlds as collective accomplishments includes recognising the role of actors whose contributions may otherwise be under-recognised.
  3. Data Worlds as Transnational Coordination, in terms of networks, international institutions and norm setting, which aim to “shape the world through coordination of data“. In this context one can think of things like IATI, a civic initiative bringing standardisation and transparency to international aid globally, but also the GDPR through which the EU sets a new de-facto global standard on data protection.

This seems at first reading like a useful thinking tool in exploring the consequences and potential of various values and ethics related design choices.

(Disclosure: Jonathan Gray and I wore both active in the early European open data community, and are co-authors of the first edition/iteration of the Open Data Handbook in 2010)