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Deep Thunder: The Rise of Big Meteorology

 Scott W Schwartz  April 30, 2019

Today has been predicted 26 billion times. The same could be said for tomorrow and the foreseeable days to follow. This prodigious divination is the work of just one entity—IBM’s The Weather Company. These 26 billion daily forecasts of IBM likely represent only a small fraction of the models and projections to which any particular day is subjected (the financial and military sectors are equally ambitious prognosticators). Backed by IBM’s computational juggernaut, The Weather Company is burning through terabytes at a brow-furrowing velocity in its effort to fit the world into a forecast. (Listen Now...)

Data Friction

 Dawn Nafus  February 7, 2017

A few years ago, Paul Edwards and colleagues (2011) introduced a notion of “science friction”—the idea that scientific datasets do not magically fuse together into a readily accessible “open” stockpile, and instead must be communicated and reshaped in order for scientists to collaborate across them. While it is all too easy to imagine endlessly wired interoperable devices, and bodies thoroughly mediated by fluid streams of measurement, the reality is not that simple. The Data Friction panel at the American Anthropological Association (AAA) meetings this past year attempted to take the idea of science friction further, and ask what else can we see when we turn our attention to frictionful encounters with data. This panel considered what alternative forms of knowing become possible by paying attention occasions where data fails to be mobile, or to the ways data and bodies resist being bound by models, devices, and infrastructures. What we see when we pay attention to frictions are significant questions of ownership, the slipperiness social relations, and examples of how people inhabit more fundamental social, material and conceptual incommensurabilities that data often surfaces. These social formations open up broader questions of the work that underlying notions of what constitutes “data” are doing. (read more...)

Is Data Singular or Plural?

 Yuliya Grinberg  October 7, 2016

“Is Data Singular or Plural?” I googled as I sat down to write this post. In my dissertation on the Quantified Self movement and the types of subjects produced by the collection of personal data, I had all but taken for granted that the word ‘data’ has become a singular noun. “Data is” announce countless articles and industry conference sessions putting forth definitions of personal data as a shadow or footprint, digital double or virtual copy. My advisor patiently suggested that I check my grammar. Turns out my mistake, at least, was not singular. Derived from the Latin dare, meaning “the givens,” grammar and history instruct us that ‘data’ is the plural form of the singular ‘datum.’ Alexander Galloway has helpfully noted that the word’s original plural sense can still be read in the French translation of data as “les données.” In recent years, however, the proper usage of the word has become a topic of some debate as data has been increasingly employed as a singular noun. What can this shift towards the singularity of data tell us of the operation of personal data in popular thought? (read more...)

Data: Raw, Cooked, Shared

 Ian Lowrie  June 23, 2016

(Almost) everyone makes data. People browsing the internet or buying stuff generally do so without knowing much about the data that their activities generate, or even knowing that they are doing so. Scientists, though, are supposed to be a little more conscientious about the data they collect, produce, share and borrow (at least in their professional capacities). They’re lately supposed to be, among other things, data managers. This is largely the product of the funding and institutional environments; program officers, science managers, and university administrators increasingly demand rationalized, comprehensive data management plans (DMPs) from researchers. In many cases, such as those from the NSF, these demands include requirements to store data for a specific period of time—often five or ten years beyond completion of the project—and to make such data publicly available. For some scientists, this is just a formalization of existing disciplinary best practices. For many, though, and for anthropologists who study them, these injunctions raise critical epistemological questions about the nature of data, and by implication, of contemporary scientific inquiry—anthropology included. (read more...)

Data Visualizations: The Vitruvian Man, Open Data, and Body Real-Estate

 Yuliya Grinberg  June 9, 2016

How does data look? The answer to this question is often seen as a matter of Data Visualization, a new field increasingly tasked with the role of imaging and imagining data. As a sign of the times, Strata + Hadoop World, the central conference of data professionals, just hosted its first Data Visualization conference in California. With growing urgency the central issue in this field mirror those that had afflicted design before it: where to draw the line between art and science, fact and fiction, form and function. Seeing data, however, is not simply about the skillful manipulation of statistics into visual form. The way data is represented is necessarily tied up with the way and by whom it is presented. Therefore, to ask how data appears is to think about the broader politics of representation, that is the socio-cultural framework that guides how we are invited to view data, how we expect data to look like, function, and act. (read more...)

Understanding Users through Data: UX, Ratings, and Audiences

 Elizabeth Rodwell  September 9, 2015

“It needs to be usable by distracted individuals in a hurry. It needs to be extremely legible and intuitive,” began the client emphatically as he leaned forward, one of several people gathered at a conference table on the 16th floor of an office tower in Houston, Texas. He rested back in his chair and waited, drumming his hands on the table. The project lead and two of the designers nodded, as one called a vast library of application mockups up onto the demo screen. As she scrolled through these, the other explained the rationale behind its user-interface elements: “we tested this prototype with . We have seen that they need to take immediately, and if they are hindered in this, the company itself cannot track projects or time spent by employees. are too busy on the job to engage in lengthy bookkeeping procedures.” This project, a massive one spanning more than a year’s research and development, is one among many for which I am currently acting as a participant observer at In foregrounding research, this company is not unique, but they are among an ever-growing number of organizations appropriating anthropological methods to understand how audiences interface with technological artifacts. Occasionally, these methods employ terminology that diverges between the academic and applied social sciences; it took me a moment to realize, for example, that “contextual inquiry” is field research, that is, ethnography. (read more...)

Who Decides What We Measure in Health Tech?

 Gabriella Kountourides  November 9, 2021

At present, there are several problems in women’s health that still remain poorly characterized and understudied. In my research on one such issue, premenstrual syndrome (PMS), it is clear that one of the largest challenges is for studies to capture the complexity of women’s and cycling people’s experiences – a challenge which, up until now, science has struggled to resolve. (read more...)

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