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clef233/README.md

"It is the function, however, of all action, as distinguished from mere behavior, to interrupt what otherwise would have proceeded automatically and therefore predictably." — Hannah Arendt

About Me

I studied sociology because I became convinced early on that the entanglement of data, algorithms, and political life is one of the defining problems of our time — and that addressing it requires both computational power and theoretical depth.

Since then I've been building a bridge between social theory — Arendt, Weber, Habermas, Rawls — and computational methods — NLP, causal inference, multi-agent simulation. I care about how algorithmic systems interact with material political-economic structures, and whether the emergent dynamics of social life can be made legible, or even predictable.

Something between Person of Interest and Laplace's Demon.


Research

🎓 Thesis Arendt's Space of Appearance × Large-Scale Textual Causal Inference
🚧 Current LLM-based Multi-Agent Social Simulation

Tech Stack

Languages

Python

NLP & Deep Learning

HuggingFace PyTorch OpenAI

Causal Inference & ML

scikit-learn Statsmodels

Simulation & Data

Pandas NumPy Jupyter DuckDB


Interests

Social Prediction · Emergence · Multi-Agent Social Simulation · Algorithmic Governance · Philosophy of Social Science


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