About Me

Dawoon Jeong is a Postdoctoral Scholar at the Knowledge Lab in the Department of Sociology, The University of Chicago, advised by Professor James Evans. He studies the evolution of sciences, technologies, products, and institutions using computational social science, network science, and AI. His work develops data-driven measures of complexity and evolutionary structure (e.g., phylogeny/lineage, embeddings) and applies them to innovation, science of science, and legal/organizational systems.

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Interests
  • Computational social science
  • Science of science
  • Complex systems
  • Innovation
  • Network science
  • Technology and product evolution
Education

  • PhD in Engineering

    Seoul National University

  • MS in Engineering

    Seoul National University

  • BS in Physics

    Korea Advanced Institute of Science and Technology (KAIST)

📚 My Research

I apply network and machine learning approaches to understand social systems, including products, science, technology, law, firm, and the country.

Feel free to reach out for collaboration! 😃

Featured Publications
A Dataset Showing a Century of Evolution in the Complexity of the United States Legal Code
Mapping Product Development Trajectories: Product Citation Network
Learning from Rivals: Diversification Paths from Countries with Similar Export Structures
Where and how does a product evolve? Product innovation pattern in product lineage
In the News
  • Santa Fe Institute (2025) — New dataset reveals how US law has grown more complex over the past century. Read
Reviewed Articles
Hayoung Park, Dawoon Jeong*, Jeong-Dong Lee (2026). Quantifying organizational routines: A multidimensional analysis of innovation in the photovoltaic industry. In Journal of Evolutionary Economics.
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Dawoon Jeong, James Holehouse, Jisung Yoon, Christopher P. Kempes, Geoffrey B. West, Hyejin Youn* (2026). A Dataset Showing a Century of Evolution in the Complexity of the United States Legal Code. In Scientific Data.
PDF Dataset Project SFI Press
Dawoon Jeong*, Soohyoung Lee, Jeong-Dong Lee (2026). Contrasting Pathways of Automation: Routine Task Substitution vs. AI Complementarity. In Humanities and Social Sciences Communications (Accepted).
Dawoon Jeong*, Jeong-Dong Lee (2025). Mapping Product Development Trajectories: Product Citation Network. In Scientometrics.
PDF
Hayoung Park, Dawoon Jeong*, Jeong-Dong Lee (2024). Evolutionary mechanism for diversity dynamics in technology using a phylogenetic tree approach: directional suggestions for photovoltaic technology. In Industrial and Corporate Change.
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Reports
Anwar Aridi, Jeong-Dong Lee, Kibum Kim, Kyeyoung Shin, Dawoon Jeong, Wonsub Eum, Taewon Kang (2024). Diversification through the Application of the Co-evolutionary Framework: Korea and Viet Nam. In World Bank Report.
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Reviewed Articles (Domestic)
Jeong-Dong Lee, Keun Lee, Jongsu Lee, Yongdai Kim, Dawoon Jeong* (2025). Multidimensional Development Pathways to Economic Complexity: Comparative Analysis of South Korea and Vietnam in Product-Technology Space. In Innovation Studies.
Kiyoon Shin, Dawoon Jeong*, Yoonhwan Oh (2024). An Analysis of Global Research Space for Smart Manufacturing Based on Academic Literature. In Journal of Industrial Convergence,.
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Yeongjun Yeo, Dawoon Jeong*, Kiyoon Shin, Jaewon Choi, You-Bean Kim (2021). Analysis of evolution patterns and path dependences of the mid- to long-term strategies in the S&T field with qualitative and quantitative findings. In Journal of Korea Technology Innovation Society.
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Manuscripts Under Review
Sungwoo Jang, Dawoon Jeong, Seolmin Yang, Seungryul Shin* (2025). Reliance on Disruptive Science and the Translation of Science into Technology. In Management Science (Under Review).
Dawoon Jeong*, Soohyoung Lee, Jeong-Dong Lee (2025). The Central Embeddedness of General Skills and Their Influence on Occupational Wages. In HSSC (Under Review).
Dawoon Jeong, Junghun Chae, WooJoong Kim, Woochul Jung, Roktaek Lim, Manoj Chamlagain, Giju Jung, Juneil Jang, Jae Won Lee, Nam Kyu Kang, Kwangryul Baek, Jonghyeok Shin, Ye-Gi Lee, Hyun Gi Koh, Chanwoo Kim, Sangdo Yook, Allen Ka Loon Cheung, Yong-Su Jin, Hyejin Youn*, Pan-Jun Kim*, Cheol-Min Ghim* (2025). Warning Signals for Long-Term Innovative Potential of Genetic Research under Commercial Pressure. In EPJ Data Science (Under Review).
Soohyoung Lee, Dawoon Jeong*, Jeong-Dong Lee (2024). Automation Will Set Occupational Mobility Free: Structural Changes in the Occupation Network. in arXiv preprint.
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Manuscripts in R&R
Dawoon Jeong, Taewon Kang, Saerom Si, Sangnam Lee, Wonsub Eum* (2025). Mapping Innovation Networks: A Network-Based Approach to Actor Heterogeneity in National Innovation Systems. In Scientometrics (R&R).
Dawoon Jeong, Saangkeuk Lee, Wonsub Eum* (2024). Learning from Rivals: Diversification Paths from Countries with Similar Export Structures. In The World Economy (R&R).
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Data & Software
  • A Century of Evolution in the Complexity of the United States Legal Code — released with Jeong et al., Scientific Data (2026). DOI
Conference Presentations
Invited Talks & Seminars
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