Luna De Souter Headshot

Luna De Souter

I am a PhD candidate in Philosophy of Science at the Department of Philosophy at University of Bergen. My research focuses on causation and causal inference, specifically on regularity theories of causation within John Mackie's INUS approach and on developing the causal discovery method of Coincidence Analysis (CNA), which is based on this theory. In Spring 2024, I was a visiting scholar at the Department of Philosophy at Carnegie Mellon University. I hold a BA in Philosophy and an MSc in Statistics from KU Leuven. You can find my CV here.

Published Papers

Evaluating Boolean relationships in Configurational Comparative Methods
Luna De Souter

Working Papers

Minimizing model equivalence classes for regularity theories of causation
Luna De Souter

New sufficiency and necessity measures for model building with Coincidence Analysis (preprint)
Luna De Souter and Michael Baumgartner

Selected presentations

Identifiability and informativeness in regularity theory of causation
Luna De Souter
The second annual conference of the Society for Philosophy of Causation July 2024.

Evaluating sufficiency and necessity in model building with Coincidence Analysis
Luna De Souter (with Michael Baumgartner)
3rd International Conference on Current Issues in Coincidence Analysis May 2024.

Evaluating Boolean relationships in Configurational Comparative Methods
Luna De Souter
The 9th biennial meeting of the European Philosophy of Science Association September 2023.

Regularity theory of causation beyond causal uniqueness
Luna De Souter
Workshop on Causation, Dependence, and Regularity August 2023.

Contrapositive evaluation measures for Boolean relationships in Configurational Comparative Methods
Luna De Souter
17th Congress on Logic, Methodology, and Philosophy of Science and Technology July 2023.

Philosophy meets machine learning: Enhancing causal discovery through model evaluation
Luna De Souter
MINANS workshop on methodological innovations for interdisciplinary research and practice June 2023.

Family-wise error rate: a new way to evaluate meta-analysis
Luna De Souter
Perspectives on Scientific Error #4 Conference July 2020.