Category: Research

Moving Beyond Doping Scandals: Toward an Anthropology of Science, Technology and Performance

One of the many things I appreciate about anthropology is that we ask big questions like “What makes us human?” and “What does it mean to be human?” Whatever our specific research topic, no matter how narrow it may seem, we reflect on the connection our research has with these big questions. In this blog, I’d like to do just this in connection to my latest research interest: science, technology, and performance. This topic is a major departure from my previous research on Islam and science, but quite closely connected to cycling which has been a part of my life for three decades, longer than anthropology or STS. My training in the anthropology of science, technology, and medicine gives me an interesting perspective on cycling and especially the doping scandals that have plagued cycling and sport in general in recent decades. While journalists focus on specific details like who took (read more...)

The Quantified Self Movement is not a Kleenex

by Dawn Nafus and Jamie Sherman The Quantified Self (QS) is a global movement of people who numerically track their bodies.  If you were to read popular press accounts like this, this and this, you could be forgiven for thinking that it was a self-absorbed technical elite who used arsenals of gadgets to enact a kind of self-imposed panopticon, generating data for data’s sake. Articles like this could easily make us believe that this group unquestioningly accepts the authority of numerical data in all circumstances (a myth nicely debunked here). Kanyi Maqubela sees a lack of diversity in “the quantified self.”  On one hand, he is absolutely right to say that developing technologies to get upper middle class people who do yoga and shop at farmers markets to “control their behavior” is a spectacular misrecognition of the actual social problem at hand, and one that can be attributed directly to (read more...)

Popular (Mis)Conceptions & the Perpetual Rise of the Machines

In the opening scene of the recent NOVA documentary, Rise of the Drones, the narrator ominously tells us that a revolution is underway. “Are we” he leads, “approaching a time when movies like The Terminator become our reality?” A clip from the Terminator III, with two humans cowering in fear whispering, fades in and out, “Oh God. It’s the machines. They’re starting to take over…” The narrator continues, “a time when machines fly, think, and even kill on their own?”   My dissertation research is focused on how technologies used in remote warfare are changing conceptions of warfare and experiences of agency within human-computer systems. These technologies include what the Air Force prefers to call RPAs, Remotely Piloted Aircraft, also known as UAVs, Unmanned Aerial Vehicles, and more commonly known as drones. While my fieldwork looks at individual experiences and institutional narratives within military communities, a larger backdrop of my research (read more...)

“Discovery” Systems and Algorithmic Culture

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...)

Why Should I Obey a Machine?

ÜBERLINGEN MID-AIR COLLISION 2002 It is evening, in the sky over southern Germany. Two commercial aircraft are flying on a collision course: a Russian charter flight from Moscow to Barcelona, and a DHL cargo flight from Bergamo to Brussels. Their courses should be corrected by an air traffic controller in Zurich, but he is doing the job of two controllers, at two different work stations, as his equipment is degraded by ongoing maintenance work. Both planes are equipped with TCAS, an automated warning system that is the last line of defense if air traffic control fails to separate planes soon enough. Less than a minute before the crash, the air traffic controller notices the collision course, and gives the Russian crew a command to descend. Seven seconds later, the automated warning system orders the Russian crew to climb, while ordering the DHL crew to descend. The Russian crew begins to (read more...)

Dealing with Big Data: David Hakken Weighs In

Although anthropologists have been working with large-scale data sets for quite some time, the term “big data” is currently being used to refer to large, complex sets of data combined from different sources and media that are difficult to wrangle using standard coding schemes or desktop database software. Last year saw a rise in STS approaches that try to grapple with questions of scale in research, and the trend toward data accumulation seems to be continuing unabated. According to IBM, we generate 2.5 quintillion bytes of data each day. This means that 90% of the data in the world was created during the last 2 years. Big data are often drawn and aggregated from a very large variety of sources, both personal and public, and include everything from social media participation to surveillance footage to consumer buying patterns. Big data sets exhibit complex relationships and yield information to entities who (read more...)

Looking Ahead to 2013: A Question of Scale

The CASTAC community joined together in 2012 to launch this blog and begin dialogue on contemporary issues and research approaches. Even though the blog is just getting off the ground, certain powerful themes are already emerging across different projects and areas of study. Key themes for the coming year include dealing with large data sets, connecting individual choices to larger economic forces, and translating the meaning of actions from different realms of experience. Perhaps the most visible trend on our minds right now involves dealing with scale. How can anthropologists, ethnographers, and other STS scholars address large data sets and approaches in research and pedagogy, while also retaining an appropriate relationship to the theories and methods that have made our disciplines strong? As we look ahead to 2013, it would seem that a big question for the CASTAC community involves finding creative and ethical ways to deal with phenomena that (read more...)

Some Thoughts on Computing, Materialism, and the Virtual

In the past decade, social scientists have paid increasing attention to a series of novel approaches to the analysis of materiality. Lately and loosely grouped under the rubric of the “new materialisms,” work by scholars such as Jane Bennett, Graham Harman, and Hans-Jorg Rheinberger has pushed for a robust expansion of our understanding of the social to include the material world. While engaged in a polyvalent intellectual undertaking, these materialists are bound together by their shared assertion of the significance of matter, its properties, and its effects for truly robust social analysis. In a sense, this should be old news to anthropologists; the analysis of material culture has been part of our stock in trade since the foundation of the discipline. However, the new, interdisciplinary focus on the material by these thinkers seems to me to offer an occasion for anthropology to revisit certain issues in the anthropological study of (read more...)