معرفی
Andres Karjus is a Senior Researcher at Estonian Business School and Lecturer in Digital Humanities and Artificial Intelligence at Tallinn University, where he is also a member of the CUDAN Cultural Data Analytics lab. His multidisciplinary work bridges linguistics, artificial intelligence, and cultural studies, employing methods ranging from machine learning to cognitive experiments.
- Estonian Business School: Senior Researcher
- Tallinn University: Lecturer in Digital Humanities and AI
- CUDAN Lab: Member of Cultural Data Analytics team
- University of Edinburgh: PhD from Centre for Language Evolution
His research focuses on language and culture dynamics, particularly evolutionary processes driving change over time. Karjus specializes in applying computational methods to humanities and social science questions, with recent projects spanning art history, creative industries, and media analysis. He is particularly known for his work on linguistic evolution in polarized social media environments and quantitative analysis of global film festival circuits.
His publications demonstrate a strong trend toward interdisciplinary research combining AI techniques with traditional humanities approaches. Recent work has focused on applying large language models to mixed methods research, analyzing film festival diversity through latent space modeling, and studying linguistic divergence in polarized online communities. These studies consistently employ innovative computational approaches to address complex cultural phenomena.
- Nationally Recognized Science Communicator (2024) - Estonian Science Foundation
Karjus actively engages in knowledge transfer through consulting and workshops on R, statistics, data visualization, and generative AI. He has developed training materials for academic audiences across disciplines and frequently collaborates with public and private sector organizations on cross-sector initiatives. His educational background in both linguistics (University of Edinburgh, University of Tartu) and artificial intelligence (KU Leuven) uniquely positions him to bridge technical and humanities domains.
He leads the CUDAN lab's research on cultural data analytics and has developed interactive dashboards for visualizing complex cultural datasets, including the film festival circuit analysis platform. His current projects focus on machine-assisted quantitizing designs for humanities research and exploring socioeconomic factors in cultural representation.
