Being with Data. Nathaniel Tkacz

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introduce DEB to help flesh out my conception of format (without anticipating the material to come) and to communicate the significance of certain formats regarding the contours of societies past and present. While it would be naive to consider DEB as only a format or number of formats, or to attribute its historical role to the work of formatting alone, it would be equally naive to underestimate the significance of arranging numbers (or code, data, text, images) time and time again and in standardized ways; ways that can travel and insinuate themselves into the routines of daily life, habituating forms of being and knowing, interpreting and perceiving.

      The notions of format and formatting provide the conceptual underpinning of this study of data and dashboards. They are how I hold the two together (data and dashboards) and inform many of the specific observations I will make about each. As much as this is a study of data and dashboards, it is a study of formats and the work of formatting.

      This is a book about culture. Ordinary, everyday things.45 Saturday morning runs, consumer devices, screens, work, ways of seeing and thinking, ways of being. Things that are easily overlooked because they gradually blend into the status quo without much hoo-ha. In the case of dashboards, this book is about a thing that was once not very ordinary becoming so; and about an ordinary thing in one sphere (transportation) becoming ordinary in others. It is about culture becoming data culture and dashboard culture; about the formatting of culture and the culture of formatting.

      How does culture enter the picture? Some points of clarification are needed as there are many possible ways one might bring culture and data/dashboard/format together. Culture or cultural categories can serve as the content of data or what is represented by data, for example, as found in the research subfield of ‘cultural analytics’.46 Much of the work that goes by the name of digital humanities also deals with things that are traditionally understood as cultural, and we could generalize to include any other studies where things deemed cultural are the focus of a data-driven inquiry. One can access and make claims about ‘culture’ through extracting data from the diversity of documents (text, images, links etc.) that characterize our digital society and populate its archives (data centres). In this sense, culture is data’s subject matter, its topic, if you will.

      In a very different way, ‘culture’ can be invoked to critique the authority of data, its presentation formats and related algorithmic processes. Here, culture might be contrasted with science, such that data-driven and algorithmic processes are found to contain cultural ‘biases’ related to gender, race, age and other markers of identity. Such perceived biases may be located in the data themselves (e.g., their categories), the methods for manipulating and displaying data, or the institutions and settings within which data are produced. When we invoke culture in this way it is often to reveal problems with data that have not been seen or addressed by those who work with data. There are now many excellent studies that fall into this category.47

      Through their arrangements, displays and processing of data, dashboards produce regularities, routines and habits; dashboards work upon us on this level of lived experience; an altered style of thought or epistemological ratio; a new factor to include among established coordinates; a subtle change in the general atmosphere; a feeling. Dashboards carry along in their format traces of longer cultural legacies, traces which present as tendencies towards specific ways of being. Paraphrasing Latour, a dashboard is culture made durable; it is how certain ways of being persist.51 The challenge, if I may call it that, is to bring forth this cultural specificity, to offer an elaboration of it, and to make visible things that aren’t exactly hidden but may have been overlooked precisely because they are right in front of us, because we use them to see with, or because we have been swept up in competing understandings about how data are transforming our societies.

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