UC Berkeley ISF 189 (Introduction to Interdisciplinary Research Methods) Summer 2017
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Updated
Aug 9, 2018 - Jupyter Notebook
UC Berkeley ISF 189 (Introduction to Interdisciplinary Research Methods) Summer 2017
This project explores the emergence of consciousness and creative impulse as recursive phenomena observable across matter, signal, and intention. Thought is a recursive manifold, echoing form and self-awareness across time and system layers. From the initial flash of insight (HCBL) to its systemic encoding, cognition exhibits fractal properties.
Make academic field conventions explicit, comparable, and teachable — for researchers working across disciplines. Built for Claude Code.
Independent research on human-centered AI and LLMs | Policy frameworks for responsible AI | A collaborative space for researchers, innovators, and policymakers advancing ethical, inclusive AI
LaTeX source of the open‑access book “Evolution by Emergence” on networks, complexity & universal evolution (CC‑BY).
This repository contains the final analytical code used in the article “Emerging Academic Disciplines After 2020.” It implements program-level semantic modeling, non-additive emergence scoring, and Shapley-based attribution to reproduce the results reported in the paper.
The Responsible AI Music (RAIM) Initiative
#Eon-Network↑)A multidisciplinary repository exploring the intersections of Epistemology, Osteopathy, and Neuroscience
An open, rigorous, multi-tier conceptual framework linking reflexive mathematics, physical systems, and emergent coherence structures.
unified multidimensional science framework integrating cosmological evolution, biological emergence, mind formation, moral structures, and civilization stabilization into a single theoretical architecture. Zanistarast proposes interconnected models describing dimensional transitions, entropy-driven resets, unified cognition, and long-term civiliza
AI Abstract Generator: Interdisciplinary Science & Research
🌐 Investigate and understand coherence in complex information environments to enhance structural clarity and decision-making across varying scales.
Applied research in representation and decision behavior
The quantitative approach in a mix-methnod study examining cyclist route choices.
🔄 Explore key research on Quantum Computing Fundamentals, focusing on transfer learning and applications across various domains for quantum-enhanced AI systems.
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