Theology of Science

A field of inquiry that studies science as a quasi‑religious system—its mythology, its creation stories (the Big Bang, evolution), its eschatology (technological singularity, space colonization), its moral codes (efficiency, progress), and its pantheon of heroes (Newton, Einstein, Darwin). The theology of science treats the narratives and rituals of science as analogous to those of traditional religions, analyzing how science provides meaning, organizes communities, and demands allegiance. It does not dismiss science but rather asks: how does science function as a belief system, and what does that reveal about both science and religion?

Example: “The theology of science course examined how the myth of the lone genius in a garage (Steve Jobs, Elon Musk) serves the same cultural function as saints’ hagiographies—providing origin stories and moral exemplars.”

by Abzugal Nammugal Enkigal March 23, 2026

Theory of Scientific Transparency

A meta-scientific framework proposing that science must be radically open about its processes, assumptions, limitations, and internal workings—not merely its final results. It demands that researchers disclose funding sources, methodological choices, raw data, analytical decisions, and even failures. The theory argues that without such transparency, science risks becoming a black box of authority rather than a self‑correcting enterprise. It underpins movements like open science, preregistration, and data sharing, treating opacity as a threat to epistemic integrity.

Example: “The replication crisis pushed the theory of scientific transparency into practice: journals now require raw data and analysis scripts, forcing researchers to show their work, not just their conclusions.”

by Abzugal Nammugal Enkigal March 24, 2026

Digital Social Sciences

The integration of computational methods—big data, social network analysis, machine learning—with traditional social science frameworks to study digital phenomena. Digital social sciences analyze platform data, scrape online communities, and build models of information diffusion, political polarization, and economic inequality in the digital sphere. It emphasizes methodological innovation while retaining critical social theory, using digital traces to understand offline power structures and vice versa.

Example: “Digital social sciences combined natural language processing with ethnography to map how far‑right networks used encrypted messaging apps to coordinate, revealing hidden infrastructures of extremism.”

by Abzugal Nammugal Enkigal March 24, 2026

Digital Human Sciences

The intersection of digital methods with humanities inquiry: digital archives, computational text analysis, digital storytelling, and critical platform studies. It uses computational tools to ask humanistic questions—about meaning, interpretation, history, culture—while remaining attentive to the limitations of algorithmic analysis. Digital human sciences also critically examine the human impact of digital technologies, including algorithmic bias, digital labor, and the cultural politics of data.

Example: “Her digital human sciences project used text mining on centuries of colonial correspondence to visualize how bureaucratic language shaped the administrative imaginary of empire, blending computational scale with interpretive depth.”

by Abzugal Nammugal Enkigal March 24, 2026

Digital Cognitive Sciences

The study of how digital technologies and cognitive processes co‑evolve, combining insights from cognitive psychology, neuroscience, and human‑computer interaction. It examines how digital tools augment (or impair) perception, decision‑making, and learning; how interfaces shape cognitive habits; and how artificial intelligence alters human cognition through human‑AI collaboration. It also investigates cognitive biases in digital environments and designs interventions for more effective, ethical human‑technology interaction.

Example: “Digital cognitive sciences research showed that smartphone notifications create a state of ‘continuous partial attention’—reducing working memory capacity and increasing error rates, even when the notifications are ignored.”

by Abzugal Nammugal Enkigal March 24, 2026

Theory of Scientific Hegemony

A critical framework that examines how science, as an institution, establishes and maintains dominance over other ways of knowing. It argues that science’s cultural authority is not solely due to its success but is actively produced through institutional power, funding structures, and the marginalization of alternative epistemologies. The theory investigates how “scientific” becomes synonymous with “true,” how scientific institutions shape public policy, and how challenges to scientific consensus are delegitimized not through evidence but through the invocation of authority.

Example: “The theory of scientific hegemony explained why indigenous fire management practices were dismissed for decades—not because they were ineffective, but because they didn’t fit Western scientific frameworks, which had monopolized the definition of ‘knowledge.’”

by Abzugal Nammugal Enkigal March 24, 2026

Philosophy of the Scientific Method

A branch of philosophy that analyzes the principles, procedures, and assumptions underlying scientific inquiry. It explores debates between inductivism, falsificationism, and Bayesian approaches; the role of observation and theory; the problem of underdetermination; and the nature of scientific explanation. It also examines whether there is a single scientific method or a family of methods, and how scientific method relates to values, social context, and historical change.

Example: “Her philosophy of the scientific method research showed that what is taught as ‘the’ scientific method in schools is a 19th‑century idealization, not a description of how actual science—with its messy negotiations and paradigm shifts—operates.”

by Abzugal Nammugal Enkigal March 24, 2026