Liberal Arts and Sciences
Badredine Arfi Research Group
Led by Badredine Arfi · Political Science
What we study
The lab studies international relations and security using AI, machine learning, and category theory. It also explores fuzzy logic and quantum-theoretic approaches in social theory.
What working here is like
- Computational
- Reading, writing & theory
- No organisms (data only)
- Coding helps
- Projects
- 2
- Papers
- 4
Current projects
Category theory in social theory
Develops an approach based on 'category theory' rather than 'set theory' to social theory.
Time in politics of security
Examines how time is understood and used in the politics of security, drawing on the lab's international relations theory.
Summaries are written by AI in plain language from public symposium abstracts and may be imperfect.
Recent papers, explained
- Bringing topological heterogeneities into the study of time-series data on militarized international disputes: a deep learning approach
2026 · Journal of Computational Social Science
- Generative AI and Topological Data Analysis of Longitudinal Panel Data
2025 · Political Analysis
Combines generative AI and topological data analysis to study changes in longitudinal panel data.
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- The promises of persistent homology, machine learning, and deep neural networks in topological data analysis of democracy survival
2023 · Quality & Quantity
- The Problématique of Quantization in Social Theory
2022 · Oxford University Press eBooks
Explores whether social theories can be quantified to break classical worldviews.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
Badredine Arfi hasn't set up this page yet. Their UF Scholars profile lists their publications.