YoungJin Kwon

I will be on the 2025–2026 job market!

I am an empirical researcher who employs computational methods, such as computer vision, natural language processing, and causal inference on large-scale data, to examine how digital technologies reshape markets. My doctoral work unfolds in two streams: (i) how blockchain-based decentralized markets transform the creator economy and (ii) how generative AI boosts human productivity and creativity.

Blockchain-Based Digital Asset Markets

Study 1. How do fraudulent behaviors such as wash trading contribute to NFT market crashes? (Job Market Paper)

Study 2. Can decentralization narrow long‑standing gender and racial gaps in art pricing?

Study 3. Who collects NFTs and how do their portfolios perform across boom–bust cycles?

Generative‑AI Creativity & Productivity

Study 4. Do Large‑language models boost scholarly productivity? Who benefits more? Does it create a new digital divide?

Study 5. How do audiences value artwork co‑created by humans and AI?