Jonathan Elkobi

Jonathan Elkobi Yonathan Elkobi

PhD Student

Department of Political Science, Yale

Greetings, שלום, 你好

I am a PhD student in the Department of Political Science at Yale. I received my Master’s in Chinese Political Economy from the School of Global Policy and Strategy at UC San Diego, and my BA from the joint program in Business Administration and East Asian Studies at the Hebrew University of Jerusalem. My research focuses on elite politics and elite speech, local governments, and politics and financial markets. Methodologically, I develop computational social science tools, especially text-as-data approaches using Large Language Models (LLMs) and Natural Language Processing (NLP), to measure political elite behavior and political speech. A major part of my research agenda examines municipal bond markets in the United States and China. I also work on side projects on other local-government economic outcomes, including pollution and growth, and on other markets such as prediction markets.

Interests
  • Text-as-Data (LLMs) and NLP
  • Computational Social Science
  • Political Economy of Municipal Bond Markets
  • Ideology and Political Outcomes
  • Elite Politics and Political Communication
Education
  • PhD in Political Science, 2024-2030 (expected)

    Yale University

  • MSc in Computer Science, 2024-2026 (expected)

    Yale University

  • Master in Chinese Economics and Political Affairs, 2022-2024

    School of Global Policy and Strategy, UC San Diego

  • BA in Business Administarion and East Asian Studies, 2019-2022

    The Hebrew University of Jerusalem

Experience

 
 
 
 
 
Consultant
StatsLab, Yale
August 2025 – Present
 
 
 
 
 
Visiting Scholar
Law Economics and Data Science Center (Prof. Elliott Ash), ETH Zurich
May 2025 – August 2025 Zurich, Switzerland
 
 
 
 
 
Research Assistant
China Data Lab (Molly Roberts and Victor Shih), 21st Century China Center, UC San Dan Diego
December 2022 – July 2024 San Diego, California, US

Responsibilities include:

  • Develop Natural Language Processing Algorithm to conduct Topic Modelling on streaming corpora with millions of newspapers articles using machine learning frameworks
  • Analyze the Chinese Local Bond Market using time series analysis, and fixed effect regressions
  • Enhance an Elite Database by scraping data from external official Chinese Government websites and applying GPT API calls to extract relevant information
 
 
 
 
 
Software Engineering Research Intern
Data Science Center, German Aerospace Center
June 2022 – August 2022 Jena, Germany
Developed machine learning type inference algorithm by combining machine learning and novelty detection, achieved high assurance F1 scores for automated type inference
 
 
 
 
 
Research Project Manager
Digital Humanities Lab (Prof. Renana Keydar), The Hebrew Univeristy of Jerusalem
August 2021 – September 2022 Jerusalem, Israel
Developed computational pipelines in Python using NLP models, Data Mining, Big Data Analysis, and Machine Learning