Search Results for: scale

Nothing Special: Standards, Infrastructure, and Maintenance in the Great Age of American Innovation

Despite Bruno Latour’s provocation that “nothing special” happens in laboratories, scholars of science and technology continue to be fascinated by them. And for good reason: laboratories, after all, are crucibles for inventions and innovations. In an age like ours where innovation-speak reigns, could there be any more urgent task than to understand the sources of inspiration and discovery? Yet our affinity for innovation has a corresponding dark side that manifests in indifference toward existing technological systems. As a scholar and as a citizen, it is this indifference that concerns me most: rather than fixating so much on innovation and discovery, I wish we would spend more time thinking through the dynamics of standardization, infrastructure, and maintenance. The neglect of infrastructure, for example, is especially evident in public policy, as the comedian John Oliver showed in a recent rant. Oliver boiled the issue down to its tragicomic essence: we need public funds to maintain old technologies such as bridges and dams, but our elected officials prefer to break out their oversized scissors and celebrate something new. Images: John Oliver on Last Week Tonight, via YouTube.com (top); Ribbon cutting at the U.S. Naval Research Laboratory, March 2012 (bottom)(photo credit: Jamie Hartman, public domain). (read more...)

Decolonizing Design Anthropology with Tinn

In fall 2014, I began building Tinn, a health data tracking application for people living with tinnitus. I approached building Tinn as an opportunity to explore what a socially conscious, feminist, and anti-colonial process for developing mobile applications might look like. The idea of pairing design, building, and anthropology is hardly all that innovative; “design anthropology,” a subfield of cultural anthropology focused on empirical studies of use cultures, has been around since the 1980’s (at least). What sets Tinn apart, however, is my commitment to working with communities of color in Portland, OR, that have been alienated by and from the technology and application development industry because of intersecting and juxtaposed systems of gender, racial, and access inequality. Perhaps one of the central epistemic problematics for the project, then, can be posed as a question: Can we decolonize design anthropology, and to what success ordegree? What might this entail? Screenshot of the title deck for Tinn (by author). Decolonization is slippery. My “academic anthropology” is a historical ethnography of the ways media scientists after World War II shaped (and continue to shape) the gendered contours of global media flows in the British Empire, with a particular focus on sound, listening, and citizen-subject formation in Gibraltar. My work on Tinn gave me the opportunity to transform my critique of the violence done by media scientists into the starting point for a more ethical approach to user experience research with marginalized Native American, Latin@, migrant, and African American Oregonians living with tinnitus in Portland. Yet what I thought of as decolonizing and what my collaborators thought of as decolonizing was at odds in some instances. For one, while decolonizing anthropology attempts to re-balance the scales of recognition and redistribution in the research process, it is much more difficult to reconcile the colonial histories of designer and designed for. Yet, for my collaborators, this division didn’t actually matter. As Nephi, one of my politically astute collaborators, put it, “the ethics are too heady when we need material help. Someone has to do that work. It’s you today.” While Tinn began with my commitment to making the project open source (as resistance to the privatization and commoditization of collaboration — it’s not that simple), Nephi protested. “My labor is there, too. You’d give it away for free? There’s a long history of white men giving away the work of my people for free.” I said it wasn’t simple. While there were times where my collaborators and I didn’t agree on what constituted decolonization, we did agree on one thing: data poses a particularly tricky sociohistorical landscape for thinking about recognition, redistribution, and reconciliation. The rest of this post is dedicated to the complications of tracking data about tinnitus, and tracking data about vulnerable and/or marginalized users with tinnitus. (read more...)

The Entrepreneurial Future

Georges Doriot, who founded the first publicly traded venture capital firm in 1946, arguably announced a new regime of speculative capital when he said: “I want money to do things that have never been done before” (Ante 2008). In the years immediately after World War II, the establishment of venture capital firms was crucial to the ascent of a new kind of commercial enterprise, one that has profoundly influenced the development of digital technologies on a very broad scale. It was with the creation of the first venture capital firms that a financial network to support technology startup companies began to form. The fact that the earliest Silicon Valley startups were funded by venture capital investments is an indicator of the degree to which the developmental trajectory of personal computing has been intertwined with that of finance capital. Fairchild Semiconductor, for example, was the first startup funded by venture capital (in 1957), and it launched numerous “spin-off” companies that were collectively responsible for the innovations that enabled what became the microelectronics industry. Since then, of course, venture capital has grown into a powerful industry that directs vast financial resources into technology startup companies. But venture capital investment doesn’t only fuel the tech startup economy — it actively shapes it. Research on Silicon Valley’s high tech industry suggests that venture capitalists’ importance to processes of innovation has more to do with their role in selecting promising companies than with simply providing financing itself (Ferrary & Granovetter 2009). Beyond choosing the criteria for valuation by which the potential commercial success of startups is measured, they determine which innovations will even have a chance to enter the market. The result is that Silicon Valley innovation is guided directly by finance capital’s future-oriented logic of speculation. Companies with few tangible assets pursue funding without which they will have little chance to successfully launch their products and, as business news coverage attests, some companies are valued at billions of dollars without demonstrating that they have the means to become profitable. What matters is keeping the possibility of a market open. One could think, for example, of Snapchat, a popular photo and video sharing app that has expanded through significant venture capital investments. Last year, the company was valued at $10 billion, despite the fact that it generates almost no revenue, mostly on the basis of its potential to reach users and create an audience. (read more...)

Shifting Fields of Academic Publishing

I’ve been thinking about academic publishing lately. Some of that is related to being in the middle of Michigan State University’s tenure process. It also has to do with having chaired an ad-hoc committee to revise my department’s annual review process. It also has a bit to do with Issue 30.1 of the journal Cultural Anthropology (CA) being released last week. Since graduate school, I have wandered the borderlands between Anthropology, Game Studies and Science and Technology Studies. I’ve been (somewhat oddly sometimes) employed by “communication” colleges of various sorts, in part due to Game Studies having found its most disciplinary home in such locations. But I think most importantly it has put me in conversation with a variety of approaches to and perspectives on what academic scholarly activity should/ought/might look like. Add to this my work as a game designer/developer and conversations within the institutions I inhabit how those materials should/ought to/might be evaluated. (read more...)

2015 Message from the Co-Chairs

As the co-chairs of CASTAC, we’re taking this opportunity to thank you for visiting The CASTAC Blog and to share our plans for 2015 and beyond! But first, we’d like to introduce ourselves. I’m Jenny Carlson, continuing co-chair of CASTAC. For those new to CASTAC and its blog, I’m a visiting assistant professor of anthropology at Southwestern University, as well as a visiting research fellow at Rice University’s Center for Energy and Environmental Research in the Human Sciences. I work on the everyday, affective dimensions of energy transitions in Germany and, more recently, in the United States. I focus on ordinary structures of feeling at sites of small-scale energy development, exploring how sentiments shape infrastructures for producing energy and engaging in politics. My aim is to theorize how the politics of energy unfolds among those who live at sites of energy development but don’t formally participate in these projects and, going from this vernacular politics, to better understand how site-specific dynamics push back against policy projections, offering a more nuanced perspective on the social underpinnings of participation in areas of rapid technoscientific development. And I’m Nick Seaver, writing from UC Irvine, where I’m a PhD candidate in anthropology and a researcher with the Intel Science and Technology Center for Social Computing. I succeeded longtime co-chair Jennifer Cool, whose hard work has enabled our interest group to not only survive, but thrive as part of the AAA’s General Anthropology Division. I research the development of algorithmic recommender systems for music — yes, like Pandora — among a broad network of academic and corporate researchers, engineers, and scientists in the US. I’m very interested in the resonances between these algorithmic approaches to “culture” and those from anthropology’s past, so I am also researching the history of computing in sociocultural anthropology. My goal is to gain some analytical purchase for anthropologists on those things we call “big data” or “algorithms” — to enhance our ability to make critiques that are informed and have impact, and to recognize the continuities between these “new” phenomena and older technologies we are more familiar with. (read more...)

2014 in Review: Re-locating the Human

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...)

Technology and Religion: An Interview with Michael Sacasas of The Frailest Thing (Part 2)

(Michael Sacasas is a PhD candidate in the “Texts and Technology” program at The University of Central Florida. He blogs about technology at The Frailest Thing. This post follows on our conversation from earlier in the year which touched on some of the foundational work on the relationship between western religion and technology.) I am glad you brought up Nye’s pessimism over the consumer sublime and his consternation over the potential drying of the technological well. Nye wrote of the consumer sublime, as embodied by Las Vegas, as a “rush of simulations” and as marking a change from a technological sublime emphasizing production, particularly in the sense of new knowledge, to one concerned solely with consumption. How do you see the relation between simulation and technological production? Do you think Nye’s pessimism is warranted? Timely question. There’s been more than a little angst of late about technological stagnation, much of it recently associated with PayPal founder Peter Thiel. For the past few years, Thiel has been warning about trends which, in his estimation, suggest that technological innovation may have stalled out over the last thirty or so years. We were promised flying cars, he is fond of saying, and we got 140 characters instead (a passing shot at Twitter, of course). (read more...)

In the QDA Test Kitchen, or, What Does It Matter Who Barbara Is?

2014 was the year that the major players in qualitative data analysis (QDA) software released native versions for the Mac. For me, the timing was perfect: my dissertation fieldwork in North Dakota had drawn to a close by summer’s end, and my advisor was encouraging me to roll up my sleeves and start working through my material. I wasn’t sure which software package would serve me best, though, and most of the guidance I could find around the Web declined to make head-to-head comparisons. Then, too, I was mindful of the critiques charging that QDA software of any stripe contributes to the mystification of method and amounts to an overpriced means of avoiding index cards, glue, and scissors. I have nothing against index cards, but with operating system issues off the table and student licenses available for under $100, I decided to see if one of these tools could help me to organize my data and get writing. After sizing up the available options, I downloaded trial versions of two well-known QDA products: NVIVO and Atlas.ti. I knew I was looking for an attractive and intuitive user interface that would allow me to code data in multiple formats: handwritten field notes, interview transcripts, documents I collected in the field. I had little faith that calculating the frequency and co-occurrence of the codes I assigned would unlock some deep, hidden structure of my material. But, taking a cue from one of the founding texts of software studies, I resolved to approach QDA software as an object that “deserves a reciprocation of the richness of thought that went into it, with the care to pay attention to what it says and what it makes palpable or possible.” How, I wondered, would my choice of software package make some kinds of analytical thinking possible and forestall others? What would my choice commit me to? (read more...)