Data Science Applied to AI

The engineering and methodological discipline of preparing, cleaning, analyzing, and governing the data that powers artificial intelligence. It recognizes that AI models are only as good as the data they're trained on. This field focuses on the entire data pipeline: sourcing high-quality data, removing bias, ensuring privacy, and managing the massive datasets required to train modern AI. It's the unglamorous but absolutely essential grunt work that makes the magic happen.

Data Science Applied to AI Example: "The model kept failing, and they realized it was a data science applied to AI problem—the training data was full of duplicates and errors they'd never bothered to clean."

by Dumu The Void March 11, 2026

Social Sciences Applied to Social Media

A field of study that uses sociological, anthropological, political, and economic frameworks to analyze how social media platforms shape human behavior, community formation, power dynamics, and cultural production. It examines phenomena like algorithmic governance, influencer economies, digital labor, online identity formation, and the transformation of public discourse. By applying social science tools—ethnography, network analysis, surveys, critical theory—to social media, it moves beyond superficial engagement metrics to understand how platforms mediate social life, reproduce inequality, and create new forms of belonging and exclusion.

Social Sciences Applied to Social Media Example: “Her research applied sociology to TikTok, showing how the algorithm’s preference for controversy pushed creators toward increasingly extreme content—a social science lens revealing the structural drivers of online polarization.”

by Abzugal Nammugal Enkigal March 24, 2026

Human Sciences Applied to Social Media

A complementary field that integrates humanities disciplines—history, philosophy, literature, cultural studies, media studies—into the analysis of social media. It asks questions about meaning, narrative, identity, ethics, and historical continuity. Where social sciences focus on structures and behaviors, human sciences explore the symbolic dimensions: how social media becomes a site for storytelling, selfhood, and cultural memory. It also critically examines the philosophical assumptions built into platform design and the ethical implications of algorithmic mediation.

Example: “Using human sciences applied to social media, he analyzed how Instagram’s aesthetic norms reproduced colonial-era visual hierarchies, turning self-presentation into a politics of visibility and exclusion.”

by Abzugal Nammugal Enkigal March 24, 2026

Cognitive Sciences Applied to Social Media

A field that applies psychology, neuroscience, and cognitive anthropology to understand how social media affects attention, memory, decision‑making, and emotional regulation. It investigates phenomena like doomscrolling, addiction mechanics, echo chambers, and the cognitive load of managing multiple identities online. By treating the user as a cognitive agent, it reveals how platforms are designed to exploit vulnerabilities in human information processing—attention loops, confirmation bias, social validation—and how users can develop metacognitive strategies to resist manipulation.

Example: “Cognitive sciences applied to social media explained why outrage spreads faster than nuance: the brain’s negativity bias is amplified by algorithmic rewards, creating a feedback loop that shapes public discourse.”

by Abzugal Nammugal Enkigal March 24, 2026

Social Sciences Applied to the Internet

A broader field extending social science methods to the entire internet ecosystem—infrastructure, governance, political economy, and culture. It examines how internet architecture (protocols, data centers, fiber optics) embodies political values, how governance regimes (ICANN, national regulations) shape freedom, and how economic models (surveillance capitalism, gig platforms) reorganize labor and value. It treats the internet not as a neutral network but as a contested social space where power, resistance, and inequality are enacted.

Example: “His work on social sciences applied to the internet traced how the shift from net neutrality to privatized data flows concentrated economic power in a handful of platform companies, reshaping global digital rights.”

by Abzugal Nammugal Enkigal March 24, 2026

Human Sciences Applied to the Internet

The application of humanities disciplines to the internet as a cultural and historical artifact. It examines the internet’s intellectual genealogy (from military research to counterculture to commercial sphere), its representation in literature and art, its impact on concepts of authorship and intellectual property, and the ethical frameworks emerging from networked life. It treats the internet as a text, a set of practices, and a space for meaning-making that requires interpretation, not just measurement.

*Example: “Her dissertation used human sciences applied to the internet to analyze how early internet utopianism—once celebrated as liberatory—became the ideological foundation for surveillance capitalism, showing the continuity between 1990s rhetoric and present-day platform power.”*

by Abzugal Nammugal Enkigal March 24, 2026

Cognitive Sciences Applied to the Internet

A field that studies how human cognition interacts with the internet’s technical features: hyperlinks, search engines, multitasking environments, algorithmic recommendations. It investigates how the internet changes the way we think—distributed cognition, the Google effect on memory, the impact of constant interruptions on sustained attention, and the cognitive cost of navigating digital interfaces. It provides evidence for how the internet reshapes mental habits, both enabling and constraining thought.

Example: “Cognitive sciences applied to the internet revealed that relying on search engines changes how we remember: we recall where to find information rather than the information itself, outsourcing memory to the network.”

by Abzugal Nammugal Enkigal March 24, 2026