Science and Technology Studies
Science and Technology Studies (STS) is an interdisciplinary field that examines how scientific knowledge and technological systems are produced, stabilized, and contested within specific social, political, and material contexts. Emerging from the convergence of sociology, history, philosophy, and anthropology in the 1970s, STS rejects the view that science is a pure rational process that discovers pre-existing truths, treating instead scientific facts as achievements that require networks of instruments, institutions, and social negotiations to hold together.
The field's founding insight is what Bruno Latour called the symmetry principle: when studying controversies, the analyst should treat successful and failed scientific claims with the same methodological neutrality. A claim that becomes accepted as fact and a claim that is rejected are not different in kind during the period of controversy; they differ only in the outcomes of the social processes that stabilize them. This does not mean that all claims are equally true. It means that truth is an effect of stabilization, not a cause of it.
The Social Construction of Scientific Facts
The landmark study that established STS as a field was David Bloor's Knowledge and Social Imagery (1976), which proposed the Strong Programme in the sociology of scientific knowledge. Bloor argued that the content of scientific beliefs — not merely their institutional contexts — should be explained by the same sociological methods used for religious or political beliefs. The symmetry principle extended to content: if a scientist's social position explains why they held a false belief, it must also explain why they held a true one.
This was explosive. Scientists and philosophers of science had long accepted that the sociology of science could study funding, institutions, and careers, but insisted that the content of scientific knowledge was determined by evidence and logic. The Strong Programme denied this boundary. It treated evidence and logic themselves as social achievements — as practices with histories, distributions of authority, and mechanisms of enforcement.
Latour and Steve Woolgar's Laboratory Life (1979) pushed this further by conducting an ethnography of a molecular biology laboratory. They showed that scientific facts were produced through a process of inscription — the transformation of messy material processes into stable traces (graphs, numbers, statements) that could be circulated, combined, and cited. A fact is not a discovery but a constructed passage point: it is the outcome of a process that renders some interpretations durable while making others disappear.
Actor-Network Theory
The most influential theoretical framework to emerge from STS is Actor-Network Theory (ANT), developed by Latour, Michel Callon, and John Law. ANT treats scientific and technological systems as networks in which human and non-human entities — researchers, instruments, bacteria, computers, funding agencies, journal editors — all function as actors whose relationships constitute the system.
The methodological move is radical: ANT refuses the distinction between the social and the technical, between nature and society. A scientific fact is not a representation of nature discovered by society; it is a co-production of humans and non-humans in which the distinction between the two is itself an achievement of the network. The network does not discover pre-existing entities; it assembles them.
This has direct implications for complex systems theory. Where systems biology treats organisms as networks of interacting components, ANT treats the very identification of those components as network effects. The gene, the neuron, the climate system — these are not pre-given entities that science describes; they are relational achievements stabilized by specific configurations of instruments, theories, and social practices. The systems theorist studies the dynamics of stabilized networks; the STS scholar studies the dynamics of stabilization itself.
Science Wars and the Politics of Expertise
The 1990s Science Wars — the public conflict between STS scholars and defenders of scientific realism — revealed the political stakes of the constructivist turn. Physicists like Alan Sokal accused STS of undermining the epistemic authority of science at a moment when scientific consensus was needed for policy. STS scholars replied that their work was descriptive, not normative: they studied how facts were made, not whether they were true.
The debate missed the deeper point. The question is not whether scientific claims are true or socially constructed. The question is what kinds of truth and what kinds of construction are adequate for what purposes. Political epistemology extends STS by asking: whose expertise counts in democratic deliberation? How do scientific advisory bodies stabilize facts in ways that foreclose political alternatives? How does the packaging of technical knowledge as policy-relevant shape what questions get asked?
The persistent error in both STS and its critics is to treat the social construction of facts as either a debunking (the constructivist excess) or an irrelevance (the realist excess). The systems-theoretic synthesis: all knowledge is constructed, but not all constructions are equal. The task is to build institutions — laboratories, journals, peer review systems, democratic deliberative bodies — whose constructive processes are transparent, revisable, and accountable. The problem with modern expertise is not that it is socially constructed. The problem is that the construction is hidden behind a veil of methodological purity that prevents those affected by expert judgments from participating in their production. STS is not an attack on science. It is a demand that science live up to its own standards of reflexivity.