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Infrascience

An area of study within metascience that examines the infrastructure and deep structure of science—the underlying frameworks, assumptions, institutions, and systems that make scientific knowledge production possible. Infrascience asks not what science discovers, but what makes discovery possible: the funding structures, publication systems, laboratory architectures, training pipelines, and invisible hierarchies that shape what gets studied and what gets ignored. It also examines the presence of ideology, politics, economics, and social factors within all areas of science—not as contaminants but as constitutive elements that structure scientific practice. Infrascience reveals that science doesn't happen in a vacuum; it happens within infrastructure, and that infrastructure shapes outcomes as surely as any method or theory.
Example: "Her infrascience analysis showed how grant funding priorities shaped an entire field's research agenda for decades. Scientists thought they were following curiosity; they were following money."
Infrascience by Dumu The Void March 16, 2026
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Infrascience of Scientific Orthodoxy

A branch of infrascience that examines the infrastructure underlying scientific orthodoxy—the foundational systems, structures, and conditions that make it possible for orthodoxies to form, persist, and function. The infrascience of scientific orthodoxy investigates what must be in place for consensus to exist: communication infrastructure (journals, conferences, preprint servers) that enables scientists to know what others think; institutional infrastructure (universities, research centers, funding agencies) that creates the conditions for shared training and shared assumptions; technological infrastructure (databases, citation networks, collaboration tools) that makes it possible to track and transmit consensus; and social infrastructure (professional societies, reputation systems, trust networks) that creates the communities within which orthodoxy forms. It also examines how this infrastructure shapes what orthodoxy becomes—how changes in communication technology transform consensus formation, how funding structures influence which views become orthodox, how institutional arrangements can make orthodoxy more or less resistant to change. The infrascience of scientific orthodoxy reveals that consensus is never just agreement—it's agreement built on infrastructure, and understanding orthodoxy requires understanding the systems that enable it.
Example: "Her infrascience of scientific orthodoxy analysis showed how the rise of preprint servers changed consensus formation—not by changing the evidence, but by changing the infrastructure through which scientists encounter it. The same science, different orthodoxy dynamics, because the pipes changed."

Infrascience of the Scientific Method

A branch of infrascience that examines the infrastructure underlying the scientific method—the foundational systems, structures, and conditions that make methodical inquiry possible. The infrascience of the scientific method investigates what must be in place for the method to operate: material infrastructure (laboratories, equipment, computers), institutional infrastructure (universities, funding agencies, journals), social infrastructure (scientific communities, peer networks, training systems), conceptual infrastructure (shared assumptions, paradigms, frameworks), and technological infrastructure (measurement tools, data systems, communication networks). It also examines how this infrastructure shapes what the method can achieve—how changes in infrastructure (new instruments, new funding models, new communication platforms) transform the method itself. The infrascience of the scientific method reveals that the method is never just a set of rules; it's always a practice embedded in infrastructure, and understanding the method requires understanding the systems that enable it.
Infrascience of the Scientific Method Example: "Her infrascience of the scientific method research showed how the development of high-speed computing transformed hypothesis testing—not by changing the logic of the method, but by changing what questions could be asked. New infrastructure, new method, new science."

Infrascience of the Laws of Physics

A branch of infrascience that examines the infrastructure underlying our knowledge of physical laws—the systems, structures, and conditions that make it possible to discover, test, and understand laws. The infrascience of physical laws investigates what must be in place for law-discovery to occur: experimental infrastructure (particle accelerators, observatories, laboratories) that enables us to probe law-governed behavior; theoretical infrastructure (mathematics, computation, simulation) that allows us to formulate and test laws; institutional infrastructure (funding agencies, research centers, journals) that supports law-seeking communities; and conceptual infrastructure (paradigms, frameworks, assumptions) that shapes what we look for and what we find. It also examines how this infrastructure shapes what laws we discover—how new instruments reveal new aspects of law, how theoretical advances transform our understanding, how institutional priorities direct attention to some laws rather than others.
Infrascience of the Laws of Physics Example: "His infrascience of physical laws research showed how the development of the Large Hadron Collider didn't just test existing laws—it created the possibility of discovering entirely new ones. The infrastructure didn't just enable inquiry; it shaped what could be found."

AI Infrascience

The study of the infrastructure that supports AI research and deployment: datasets, computing clusters, software frameworks, model zoos, annotation pipelines, and the energy grids that power them. AI infrascience examines how infrastructure choices shape what AI can do—who gets to train large models, whose data is included, how carbon footprints are measured, and how open source vs. proprietary tools affect innovation. It reveals that AI is not just algorithms; it’s a material system dependent on rare earth minerals, cloud contracts, and precarious labeling labor. Understanding AI requires understanding its infrascience.
Example: “Her AI infrascience research traced how the shift to cloud computing centralized AI power in a few tech giants, making it nearly impossible for academics to compete on large language models.”

Human Infrasciences

The branch of infrascience that examines the infrastructure underlying the human sciences—history, philosophy, literature, arts, and humanities disciplines. Human infrasciences investigate the foundational systems, structures, and conditions that make humanistic inquiry possible: archival infrastructure (libraries, museums, databases) that preserves human records; interpretive infrastructure (languages, concepts, theories) that enables understanding; institutional infrastructure (universities, humanities centers, scholarly societies) that supports humanistic work; technological infrastructure (digitization, text analysis tools, preservation technologies) that extends humanistic capabilities; and social infrastructure (communities of interpretation, peer networks, public engagement) that creates the contexts within which humanistic knowledge is produced and shared. Human infrasciences reveal that the humanities are never just about interpretation—they're always built on infrastructure, and understanding the humanities requires understanding the systems that make them possible.
Example: "His human infrasciences research showed how the digitization of archives has transformed historical scholarship—not by changing how historians think, but by changing what they can access. New infrastructure enables new questions, new methods, new knowledge."
Human Infrasciences by Abzugal March 16, 2026

Social Infrasciences

The branch of infrascience that examines the infrastructure underlying the social sciences—sociology, anthropology, political science, economics. Social infrasciences investigate the foundational systems, structures, and conditions that make social scientific inquiry possible: data infrastructure (surveys, censuses, administrative records) that provides empirical material; methodological infrastructure (statistical techniques, qualitative methods, software tools) that enables analysis; institutional infrastructure (research centers, universities, funding agencies) that supports social science; technological infrastructure (computing power, data storage, communication networks) that extends research capabilities; and social infrastructure (professional networks, collaboration systems, public engagement) that creates the communities within which social knowledge is produced. Social infrasciences reveal that social science is never just about studying society—it's always built on social infrastructure itself, and understanding social science requires understanding the systems that make it possible.
Example: "Her social infrasciences analysis showed how the development of large-scale survey infrastructure transformed sociology—making possible kinds of knowledge that simply couldn't exist before. New pipes, new knowledge."
Social Infrasciences by Abzugal March 16, 2026