Research Project · 2026

Multi-level Interdisciplinarity
Knowledge Network

Synthesis of research state of the art across 10 academic disciplines, with interdisciplinary bridges and multi-layer epistemic analysis.

Author: François Papin · April 21, 2026 · MIT License · LinkedIn ↗
★ Flagship Map
Interdisciplinarity — Multi-Level Network
Integrates all 10 disciplines with interdisciplinary bridge concepts and three analytical layers: disciplines, epistemic roles, and levels of analysis.
Layer A · Disciplines Layer B · Epistemic Roles Layer C · Levels of Analysis Bridges
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Discipline Maps 10 Knowledge Network Maps
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01
Philosophy
Epistemology, ontology, ethics, logic, and philosophy of mind — from Plato to contemporary analytic and continental traditions.
24 nodes · 30 edges · 5 clusters
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02
Cognitive Psychology
Memory systems, attention, executive function, decision-making, metacognition, and embodied cognition.
22 nodes · 30 edges · 5 clusters
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03
Neuroscience
Brain structures, synaptic plasticity, neural networks, cognitive functions, and neuroscience methods.
23 nodes · 27 edges · 5 clusters
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04
Education Science
Constructivism, ZPD, formative assessment, self-regulated learning, and educational technology.
22 nodes · 25 edges · 5 clusters
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05
Human Rights
UDHR framework, civil/political/economic/social rights, cultural rights, and emerging digital and environmental rights.
23 nodes · 24 edges · 5 clusters
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06
Environmental Science
Climate change, biodiversity, ecosystem services, planetary boundaries, and Anthropocene dynamics.
22 nodes · 25 edges · 5 clusters
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07
Computer Science
Algorithms, machine learning, deep learning, LLMs, distributed systems, cryptography, and HCI.
23 nodes · 25 edges · 5 clusters
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08
Sociology
Social theory (Bourdieu, Goffman), institutions, intersectionality, globalization, and digital sociology.
22 nodes · 24 edges · 5 clusters
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09
Language Science
Syntax, semantics, pragmatics, cognitive linguistics, sociolinguistics, and computational language models.
22 nodes · 24 edges · 5 clusters
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10
Systems Science
Complex systems, emergence, chaos theory, cybernetics, network theory, and agent-based modeling.
23 nodes · 26 edges · 5 clusters