Critical Theory of Scientific Knowledge

The application of Critical Theory to scientific knowledge itself—examining how it's produced, validated, and circulated, and how power operates in each of these processes. Critical Theory of Scientific Knowledge asks: Who gets to produce scientific knowledge? Whose knowledge counts? How are scientific facts established, and what interests shape that process? Drawing on science studies, feminist epistemology, and postcolonial theory, it insists that scientific knowledge is never just knowledge—it's also power. Understanding science requires understanding the politics of knowing.

"Scientific knowledge is objective, they say. Critical Theory of Scientific Knowledge asks: objective by whose standards? Produced in what context? Funded by whom? Scientific knowledge is produced by humans in societies with power relations. That doesn't make it false; it makes it human. Critical theory insists on asking: whose knowledge is this, and who does it serve?"

by Abzugal Nammugal Enkigal March 4, 2026

Critical Theory of Scientific Evidence

The application of Critical Theory to what counts as evidence in science—examining how evidentiary standards are established, who benefits, and what forms of evidence are marginalized. Critical Theory of Scientific Evidence asks: Why is quantitative evidence privileged over qualitative? Why are some forms of testimony dismissed? Who decides what counts as good evidence? How have evidentiary standards been used to exclude marginalized knowers? It doesn't reject evidence but insists that evidentiary standards are never neutral—they're shaped by power, history, and context.

"That's just anecdotal, not real evidence. Critical Theory of Scientific Evidence asks: anecdotal by whose standards? Experience is evidence too—it's just not the kind that fits in spreadsheets. Evidentiary hierarchies reflect power: who gets to define evidence, and whose knowledge gets excluded. Critical theory insists on evidence that includes, not just evidence that measures."

by Abzugal Nammugal Enkigal March 4, 2026

Critical Theory of Military Science

The application of Critical Theory to military science—examining how military knowledge, strategy, and institutions are shaped by power, how they serve state interests, and how they might be transformed. Critical Theory of Military Science asks: Who benefits from military power? How does military science construct enemies and justify violence? What ideologies are embedded in doctrines of deterrence, counterinsurgency, and "just war"? How does the military-industrial complex shape research and development? Drawing on peace studies, postcolonial theory, and critical security studies, it insists that military science is never just technical—it's political, ideological, and deeply embedded in structures of power. Understanding military science requires understanding who it serves and at what cost.

"Military science is just defense strategy, they say. Critical Theory of Military Science asks: defense of whom? Against whom? Defined by whom? The same doctrines that protect some populations enable violence against others. Military science isn't neutral; it's a tool of state power. Critical theory insists on asking: who benefits from this weapon, this strategy, this war?"

by Abzugal Nammugal Enkigal March 4, 2026

Critical Theory of Data Science

The application of Critical Theory to data science—examining how data is collected, analyzed, and used, and how these practices reflect and reinforce power relations. Critical Theory of Data Science asks: Whose data is collected? Who controls the algorithms? How do data systems encode bias and discrimination? Who benefits from data-driven decision-making, and who is harmed? Drawing on critical data studies, feminist technology studies, and surveillance studies, it insists that data is never raw—it's always cooked in contexts of power. Algorithms aren't neutral; they're politics in code. Understanding data science requires understanding who it serves.

"Data doesn't lie, they say. Critical Theory of Data Science asks: who collected it? For what purpose? With what biases? Algorithms trained on historical data reproduce historical injustices. Data science can liberate or control; it depends on who's doing it and why. Critical theory insists on asking: whose interests are served by this model, and whose are erased?"

by Abzugal Nammugal Enkigal March 4, 2026

Critical Theory of Space Science

The application of Critical Theory to space science—examining how space exploration and research are shaped by power, politics, and economics. Critical Theory of Space Science asks: Who funds space science? For what purposes? How do military and corporate interests shape space agendas? Whose dreams of space are realized, whose are excluded? How might space science serve humanity rather than nationalism or profit? Drawing on critical geography and science studies, it insists that space is never just "out there"—it's an extension of Earthly politics, power, and inequality.

"Space exploration is for all humanity, they say. Critical Theory of Space Science asks: funded by whom? Controlled by whom? Billionaires racing to space while people starve—that's not 'all humanity.' Space science serves power, just like everything else. Critical theory insists on asking: who benefits from space, and who's left behind on Earth?"

by Abzugal Nammugal Enkigal March 4, 2026

Critical Theory of Earth Sciences

The application of Critical Theory to earth sciences—examining how knowledge of the planet is shaped by power, politics, and economics, and how it might serve ecological justice. Critical Theory of Earth Sciences asks: Who funds earth science? For what purposes? How do corporate and state interests shape climate research, resource extraction, and environmental policy? Whose knowledge of the Earth is valued, whose ignored? Drawing on environmental justice and postcolonial science studies, it insists that earth sciences are never just about the planet—they're about who gets to study it, who benefits from that knowledge, and who pays.

"Earth science just studies the planet, they say. Critical Theory of Earth Sciences asks: studies it for whom? Oil companies fund geology to find more oil; climate science is suppressed when it threatens profit. Earth science is political. Critical theory insists on asking: whose Earth is being studied, and for whose benefit?"

by Abzugal Nammugal Enkigal March 4, 2026

Creative Data Science

Data science enhanced by creative AI—not just analyzing existing data but generating novel questions, unexpected connections, and innovative approaches to data. Creative Data Science would use AI to suggest new variables to measure, new relationships to explore, new ways to visualize and understand. It wouldn't just answer questions; it would ask questions no one had thought to ask. The difference between data science that explains and data science that imagines.

"Standard data science showed me correlations I expected. Creative Data Science suggested a new variable I hadn't considered—and when I collected it, everything made sense. Creative Data Science doesn't just work with your data; it tells you what data you should have collected."

by Nammugal March 4, 2026