The Babel Machine Workshop: Multilingual AI for Cross-National and Comparative Research

Discover how cutting-edge large language models can transform your research across language barriers. The Babel Machine supports:

• Analysis in 30+ languages
• Public policy evaluation
• Political manifesto assessment
• Emotion and sentiment detection in social and political discourse
• Identification of illiberal language and framing

Perfect for: Graduate students, faculty and researchers interested in computational approaches to comparative and international social and political analysis.

Miklós Sebők, Ph.D.
Director, poltextLAB Artificial Intelligence Laboratory
Co-Director, Artificial Intelligence National Lab at CSS

Sebők is a renowned expert in AI-powered qualitative text analysis, Hungarian politics and public policy. His groundbreaking work bridges technological innovation and social science methodology.