Category: Research

Greetings from Paris: A View from Ethnografilm 2014

Recently I had the pleasure of attending an exciting new film festival called Ethnografilm, a showcase of ethnographic and academic films that visually depict social worlds. Helmed by the festival’s Executive Director Wesley Shrum (Professor of Sociology, Louisiana State University), the event took place April 17-20 at Ciné XIII Théâtre, a unique venue in the Montmartre district of Paris. The variety of films was indeed impressive, and ranged from old-school anthropological investigations of “disappearing worlds” to animations that stimulated the eye and illustrated interactive tensions in visual forms. Despite fears about the disappearing anthropologist filmmaker, it was interesting to see that Jean Rouch’s classic film Tourou et Bitti (1971), which was screened on Saturday night, played to a packed house! Given that co-sponsors included the International Social Science Council and The Society for Social Studies of Science, it is perhaps not surprising that the festival included many technology-related films. Themes included both opportunities and tensions in areas such as online interaction, ethics, “primitive” technologies, and high-tech bodily enhancements. Below I profile a few of the films I was able to screen. (read more...)

Coding Places: An Interview with Yuri Takhteyev

In “Coding Places: Software Practice in a South American City” Yuri Takhteyev depicts a group of developers from Rio de Janeiro working on software projects with global aspirations. His ethnography, conducted in the span of three years, provides rich detail and insight into the practice of creating a programming language, Lua, and struggling to form local and global communities. In his narrative, Takhteyev sets off with a task that is particularly akin to anthropological studies of globalization: to specify socioeconomic and political forces shaping localities and creating instances of production and circulation of transnational scope. We asked him a few questions related to the book and his research on the topics of globalization, computing expertise, and politics of information technology. Enjoy! (read more...)

What Does it Mean to do Anthropology in the Anthropocene?

I’m Beth. I study people who study earthquakes and people who work to minimize the damage that earthquakes cause. That’s my short introduction; the line I use with nearly everyone to describe my research. I do fieldwork in the offices, conference rooms, labs, and workshops of earthquake-prone Mexico, where cutting-edge research and technical problem solving is happening (not to mention pitched battles over what “cutting edge research and problem solving” could mean in the first place). I am the associate editor in charge of earth sciences, laboratory sciences, and environmental anthropology here at the CASTAC Blog, topics that are entangled in important ways for anthropology. One good example of how these topics have, together, become particularly charged in recent years is that of the “Anthropocene.”  This is a term used to designate the period since, alternately, the industrial revolution or the development of the atom bomb, in geological time. Its proponents suggest that this (very recent) period requires renaming because it is humanity, rather than any other force or condition, which has the strongest impact on earth systems today. (read more...)

What Drives Research in Self-driving Cars? (Part 2: Surprisingly not Machine Learning)

In the first part of this article, I wrote about how two major events shaped research in self-driving cars: the DARPA Grand Challenges and Google’s Self-driving Car (hereafter: SDC) project. In this post, I will talk about my surprise at the unfulfilled yet pervasive promises of machine learning in SDC research. (read more...)

What Drives Research in Self-driving Cars? (Part 1: Two Major Events)

Self-driving cars (aka driverless cars or autonomous vehicles) are among the most visible faces of Artificial Intelligence (AI) today. In continuation with Shreeharsh Kelkar’s excellent post on Artificial Intelligence last month, I would like to pick up his lead and complicate yet another story of AI – the story of the relationship between software developers and machine learning algorithms. For this purpose, I will use my ongoing field work among members of an academic research group as an example. The work of this particular research group centers around an experimental vehicle – a self-driving car (hereafter: SDC). During my field work I experienced a couple of surprises which challenged my earlier assumptions about the research on SDCs. That is, I previously assumed that the many promises invested in machine learning would lead to its extensive use in the experimental vehicles. However, this is not the case. I started to wonder why the researchers refrain from using machine learning even though they are officially members of an AI department. After introducing you to the field of SDC research in this first part, I will provide you with three tentative answers in an upcoming second post. (read more...)

Reflections on a Decade of GDC Fieldnotes

Ah, the Game Developers Conference (GDC)… I started my field research in 2004 at a relatively small but growing game studio: Vicarious Visions. Since that time I’ve been researching game development and game developers. That’s a long time to study such an amorphous, variable and shifting thing/community/world/culture. I’ve ranged from AAA developers to hobbyists to serious game development teams. I haven’t made it to every GDC in that time; travel has always been highly subject to the aleatory. But I have been watching, listening and taking notes from afar even when I haven’t been there myself. What follows is a meta-note, on my collection of meta-notes, which will make this pretty meta-meta. (read more...)

Auxiliary Motives and the Anthropology of Technology

If you are lost in the middle of the woods, you have a problem. Assuming that you’ve ended up in this predicament without any navigational aids or food, you’ll have to start walking. Any direction is better than none: if you stay put, you’ll starve. And, once you pick a direction, you better keep going: if you keep changing your mind, you’ll just go in circles, and you’ll also starve. Your problem, aside from the lack of food and abundance of predators, is in deciding which way to go: if all your options look the same, how are you supposed to decide? (read more...)

On the Verge of a Scientific Breakthrough…Ten Years and Counting

A decade ago I did an ethnographic study of the little known, but highly promising, field of quantum information physics. I immersed myself in the work and world of physics: reading the field’s latest papers, attending the important conferences, interviewing the thought leaders, and taking thick notes on everything I saw and heard. After three years, when my notebook and brain were both filled with all cultural data they could carry, I wrote up my results, filed my doctoral dissertation, and sat back to wait for the scientific breakthroughs that I thought were soon coming, for the global information technology reboot that the field was on the verge of creating. I waited …and then I waited a bit more. (read more...)