algorithms | Platypus

From Law in Action to Law in Computation: Preparing PhD Students for Technology, Law and Society

 Bill Maurer  February 6, 2018

Editor’s Note: This is the inaugural post for the Law in Computation series, a collection of blog posts from faculty and graduate student fellows at UC Irvine’s Technology, Law and Society Institute. Leading up to a summer institute in 2018, the series provides examples of research and thinking from this interdisciplinary group and elaborates how sociolegal scholars might address new computing technologies, like artificial intelligence, blockchain, machine learning, autonomous vehicles, and more. In 2015, a robot buying illicit items off the “dark web” was confiscated by the Swiss authorities along with its haul of Ecstasy pills, a Hungarian passport, counterfeit designer clothing, and other items. Dubbed Random Darknet Shopper it was a bot programmed to shop on the dark web using Bitcoin, the pseudo-anonymous cryptocurrency that, at the time of my writing, is experiencing an enormous bubble. Previously assumed to be the domain of criminals or drug dealers, the Bitcoin bubble has made it more mainstream, even on popular television shows like The Daily Show and is being discussed at policy forums worldwide. It increased in value from just over $1000 to over $8000 between February 2017 and February 2018, with a peak at over $19,000 in mid-December 2017. While it was pretty obscure just a few months ago, you probably have a cousin or uncle currently “mining” Bitcoin or trading in similar digital tokens whether you know it or not. (read more...)

Conspiracies, Fake Social Networks, and Young Blood | Weekly Round-Up, June 23, 2017

 Ian Lowrie  June 23, 2017

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...)

Weekly Round-up | March 3rd, 2017

 Ian Lowrie  March 3, 2017

This week’s round-up careens from a Walden video game to the far reaches of interstellar space, with pit-stops for an algorithm that can identify evangelicals and some philosophical neuroscientists along the way. As always, if you find anything interesting, bizarre, despicable, or useful around the web — send it our way! We’d love to include it in next week’s round-up. (read more...)

Weekly Round-up | February 24th

 Ian Lowrie  February 24, 2017

After a brief hiatus, the weekly round-up returns with stories on algorithms, microdosing, virtual reality documentaries, and how to read new media. As always, we’d love to showcase stuff that CASTAC members are working on elsewhere, or just cool stuff that you find around the web! Drop us a line at editor@castac.org and we’ll throw it in the mix for next week. Algorithms have been a favorite punching bag of the blogosphere and middle-brow journals for a few years now. While they’re easy to criticize, they’re harder to engage and historicize. “Rule by Nobody” does a nice job of both, however. Adam Clair draws on Weber and Graeber to argue that algorithms should be understood as an expansion of bureaucratic rationalization. Rather than posthuman monstrosities of unfeeling code and insensate machines, he suggests that we consider them as profoundly human, sociotechnical systems, open to intervention and creative refashioning. How anthropological! The emergence of algorithms (read more...)

2014 in Review: Re-locating the Human

 Jordan Kraemer  January 20, 2015

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...)

“Discovery” Systems and Algorithmic Culture

 Andrew Asher  March 5, 2013

Understanding “discovery”—the processes through which people locate previously unknown information—is a critical issue for academic libraries and librarians as they endeavor to provide and make accessible materials for students, faculty members, and other library users. Until relatively recently, people seeking information at an academic library were typically faced with a myriad of confusing catalogs, indexes, and databases, each with a different topical coverage, organizational structure and search interface. For people increasingly accustomed to Google’s simple search interface and natural language functionality, the “cognitive load” of siloing information in this way can be extremely high. Library discovery systems were developed to address this problem. By creating a centralized index of a library’s resources, these tools allow a user to simultaneously query almost all of a library’s holdings via a single Google-style search box. Along with my colleagues Lynda Duke and Suzanne Wilson, I recently completed a research study examining how undergraduate (read more...)