For most of its history in the US, electricity has been a monopoly commodity: in a delimited territory, only one company was legally allowed to produce and deliver electricity to consumers. This state of affairs started to be challenged in the 1970s, when, in accordance with the neoliberal wave, a number of infrastructural services (e.g., airlines, telecommunications) were deregulated, meaning, they were made competitive by law. Electricity followed in the 1990s. First, the Energy Policy Act of 1992 allowed states to break monopolistic utilities into separate production and delivery companies. This act also allowed states to take technological measures to ensure that new companies could plug into the electric grid to sell or buy electricity. And then the Federal Energy Regulatory Commission (FERC) introduced the concept of electricity markets—computational processes through which prices are set for all buyers and sellers, and which are operated by non-profit operators of the transmission grid.
I can’t stress enough the computational nature of these new markets: they exist because the grid is wired up with many kinds of sensors and computational devices that are calculating continuously and zigzagging “information.” Making these markets requires not just economists, but also engineers, programmers, traders, and database specialists—all concerned with making sure that the nature and order of information flows are just right. « Read the rest of this entry »
There have been surprisingly few sustained, ethnographic studies of the university that aim to understand it as an institution devoted at once to the production of knowledge and technologies, the circulation of those products, and the cultivation of particular types of subjects. Ethnographers have largely worked at it piecemeal, with admittedly excellent work from both the anthropology of education and of science carving out various areas of inquiry: classrooms, laboratories, admissions offices, student groups, start-up incubators. To my mind, it seems that the lack of a synthetic approach to the knowledge work going on in the university might be due to the disappointing fact that these two camps within anthropology don’t talk to each other very much. In part, this is a result of their different goals, positions within the ecology of anthropological knowledge production, possible sources of research funding, and available career paths both within and without academia; yet, despite the sociological intelligibility of this lack of communication, it remains intellectually unfortunate.
As the business of research and education becomes increasingly corporatized, increasingly shaped by wider forms of rationality that rely upon quantification, standardization, and the devolution of responsibility to the individual, it becomes correspondingly urgent to develop a rigorous, holistic understanding of the university as such. This has only been underscored by my fieldwork among Russian data scientists, who are themselves involved in the ongoing reorganization of higher education here. That is to say, the neoliberal university qua institution, with its own internal forms of organization and expertise as well as its place within the broader political economy, deserves to be the object of a newly shared inquiry. The current shape of the university has profound implications for the professional lives of anthropologists of both science and education, and similarly thorough-going epistemological consequences for their ongoing, ultimately complementary attempts to understand how contemporary people make knowledge.
I’m working through the latter half of this proposition in my current research project. Data science has emerged as a key site of intervention into the educational system in Russia; elites from both industry and academy are working together to modernize and re-purpose Russia’s formidable pedagogical infrastructure in pure mathematics and theoretical computer science to train a new generation of algorithmists, developers, and programmers in both the practical skills and professional attitudes that they see as necessary for the creation of a truly Russian knowledge economy. The result has been both the creation of a number of hybrid, industrial-academic institutions and wide-ranging modifications to curriculum and requirements at more traditional institutions. These changes are occurring within a broader context of profound reforms to post-graduate education1 and the science system more generally.2 « Read the rest of this entry »
This is the second half of my conversation with Dominic Boyer about the emergence of “infrastructure” as both ethnographic focus and analytic within anthropology. You can read the first part of the interview here!
Ian Lowrie: I’d like to circle back to the question of how infrastructure is related to politics and liberalism. There’s a recent article by Kim Fortun calling for a revitalized, engaged anthropology of not just infrastructure, but infrastructural expertise, in the context of precisely the degradation of the most visible aspects of our infrastructure. At the same time, I think we also see strong, robust development of other types of infrastructures. Things like technical arrangements, financial instruments, logistical services, the computational and digital. I wonder if part of what makes the urge to expand the concept of infrastructure to include things other than things like roads and sewers is a political urge.
Dominic Boyer: I think it is, and I think you’re right to point out that the story of infrastructure in the neoliberal heyday is not simply about abandonment. It’s a story of selective investment, and also of abandonment [laughs]. This is also the era in which informatic infrastructures, for example, develop. The Internet is one, but also the specialized information infrastructures that allowed finance to exert global realtime power that far exceeds the capacities of most governments to effectively regulate it. And that becomes a pivotal part of the story of the rebalancing of powers, I think, during the same time period. So the neoliberal era saw some remarkable infrastructural achievements in certain areas, whereas at the same time you might find your roads and your sewers decaying, which is interestingly often-times the focus of infrastructure studies. Most seem focused on what I would describe as basic biopolitical infrastructures and their fragmentation. A lot of research is, more or less latently, interrogating the aftermath of neoliberalism, specifically through the lens of biopolitical infrastructural decay. But you could tell a different story if you looked at different infrastructures. And maybe that’s a story that still needs to be told. « Read the rest of this entry »
Lately, anthropologists have been doing a lot of thinking about infrastructure. Although there have been anthropologists working on the large technical systems subtending modern sociality since at least the early 1970s, infrastructure today appears to be coming of age not only as a robust area of ethnographic engagement, but as a sturdy analytic in its own right, part of widespread resurgence of materialist thought across the humanities. As Brian Larkin puts it in his recent piece for the Annual Review of Anthropology, contemporary work in the anthropology of infrastructure attempts to understand how underlying material structures function to “generate the ambient environment of everyday life.” In so doing, the conceptual ambit of the term has been expanded beyond sewers, roads, and telecommunication systems to include everything from modes of sociality to economic instruments.
Recently, I spoke at some length with Dominic Boyer about the emergence and expansion of anthropological interest in infrastructure. Dominic has devoted considerable organizational and intellectual attention to thinking through the human aspects of energy infrastructures, both in his role as the director of Rice University’s Center for Energy and Environmental Research in the Human Sciences and in his own fieldwork, with Cymene Howe, on energopower and the renewables transition in Mexico. The first half of this conversation appears below, with the second to follow later this week.
Ian: Your current work with Cymene Howe, on the development of wind energy in Oaxaca, focuses quite explicitly on infrastructure in the most literal sense. I’m curious, however, whether there were precursors of this focus in your earlier work?
Dominic: Our project does focus on infrastructure in the sense that, early on, we realized that the electric grid and the utility that manages it in Mexico were going to be central actors in telling the story of the politics of renewable energy transition. But, really, infrastructure as analytic wasn’t really present to us as we were conceptualizing the research design. What’s interesting about the conversation around infrastructure to me is that it’s been a storm hovering on the horizon for a long while, and now the downpour has come and we’re all awash in infrastructure talk. « Read the rest of this entry »