This latest installment of our intermittently-weekly round-up brings you posts on machines that do conspiracies, transhumanism and capitalism, algorithms (beginning to be a staple), and biomedical vampirism. What more could you ask for? If you see anything around the web that you think we ought to include, please drop us a line. (read more...)
Something big happened on October 27. Something unprecedented. And like much high-level change that impacts the Internet’s basic infrastructure, this change came down to the actions of a handful of carefully chosen people. It involved a ceremony straight out of a sci-fi movie–seemingly rife with opportunity for espionage, intrigue, or a massive telegenic heist. For STS-focused social scientists, this story is compelling for the layers of trust involved, and the way technical security and human relationships intersect. That something so critical to global infrastructure can be reduced to concepts like duty and accountability is neither surprising nor novel, per se—but it is remarkable. But let me backtrack, as this is really about two news stories. Friday, October 21, 2016 saw a massive disruption in internet traffic, particularly for the Northeastern United States. The outage, a distributed denial of service attack (DDoS) started at 7am EST, appears intended as a show of force, and was directed at New Hampshire-based Internet infrastructure company Dyn. (read more...)
“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...)
In retrospect, 2014 may appear a pivotal year for technological change. It was the year that “wearable” technologies began shifting from geek gadget to mass-market consumer good (including the announcement of the Apple Watch and the rising popularity of fitness trackers), that smartphone and tablet usage outstripped that of desktop PCs for accessing the Internet, along with concurrent interest in home automation and increasingly viable models for pervasive computing (such as Google’s purchase of smart thermostat Nest), and that computer algorithms, machine learning, and recommendation engines came increasingly to the fore of public awareness and debate (from Apple buying streaming service Beats to the effects of Facebook’s algorithms). Many of these shifts have been playing out world-wide, or at least, in diverse contexts, such as Chinese online retailer Alibaba going public and Xiaomi smartphone maker speedily surpassing most rivals. It also proved to be an exciting year on The CASTAC Blog, where our team of Associate Editors and contributors brought our attention to this rapidly shifting technological landscape, and to pressing questions and debates driving anthropological inquiry into science and technology. In today’s post, I continue my predecessor Patricia Lange’s tradition of reviewing themes and highlights on the blog from the past year. Some of these are topical, and included energy, the environment, and infrastructure, crowdsourcing and the “sharing” economy, wearables, algorithms and the “Internet of Things,” science communication, science’s publics, and citizen science, while others were more conceptual or even experimental—reflections on longterm ethnographic engagement with technology, broader issues of scientific (and ethnographic) authority, technological infrastructures as social infrastructures and tacit knowledges (such as Jenny Cool’s co-chair report), and broadly, how to make anthropological research into science and technology relevant within and beyond academic circles. (read more...)
