A metascientific framework that examines the material, institutional, and organizational foundations that make scientific knowledge production possible—the often-invisible systems, structures, and resources that scientists depend on but rarely think about. The infrastructure of science includes laboratories and equipment, libraries and databases, funding agencies and grant systems, journals and peer review, professional societies and conferences, universities and research institutes, training programs and career pipelines,
communication networks and computing resources. It also includes the less tangible infrastructure: standards and protocols, classification systems, citation practices, reputational economies, and the social structures that enable
collaboration and competition. Examining the infrastructure reveals that scientific knowledge doesn't emerge from
individual genius alone but from complex systems that channel resources, enable work, and shape what's possible. Changes in infrastructure—a new funding mechanism, a new database, a new
communication platform—can transform entire fields by changing what scientists can do.
Example: "Her
infrastructure of science study traced how the development of online preprint servers transformed physics—not by changing how
scientists thought, but by changing how quickly they could share results and get feedback. The
infrastructure shaped the knowledge."
