My go-to resources: Recommended channels, tools, and more.
As a behavioral researcher exploring cognition, resonance, and prediction, I often find inspiration in a wide range of sources — from physics and biology to art and design. Below is a personal, evolving list of resources that I’ve found particularly insightful or useful for my research and creative thinking.
YouTube Channels I Recommend
Eigensteve
Deep explorations of physics, mathematics, and complex systems — often bridging ideas that resonate with cognitive and dynamical models.
HumBio Videos
Engaging discussions on biological complexity, cognition, and emergent organization in living systems.
Fermilab
Excellent lectures and public talks in modern physics — a great way to reflect on the deep structure of matter and information.
The Royal Institution
Classic science communication: accessible yet rigorous talks spanning neuroscience, mathematics, and cosmology.
Great Art Explained
Beautifully crafted visual essays revealing how art encodes perception, symbolism, and cognition — surprisingly relevant to understanding human representation and meaning.
Data science
Improving Your Statistical Inferences
A blog by Professor Daniel Lakens (Eindhoven University of Technology) introducing statistical reasoning in behavioral research.
Experience Statistics
A collection of interactive statistical widgets for teaching, exploration, or computation without local installation.
R Psychologist - Visualizations
Interactive visualizations by Dr. Kristoffer Magnusson to help understand statistical concepts.
Project Tier Protocol
A clear standard for reproducible research documentation in computational projects.
Development tools and frameworks
PartyKit
An open-source deployment platform for AI agents, multiplayer, and local-first apps.
D3 on Observable
The go-to JavaScript library for building dynamic, interactive visualizations in the browser.
LangChain
A framework for building composable applications using large language models.