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Photo of Ma毛l Lecoursonnais

Maël Lecoursonnais

Postdoc

My thesis focuses on spatial inequalities and activity spaces using causal and machine learning methods.

Presentation

I am a Ph.D. student in Analytical Sociology. My research focuses on
spatial inequalities using causal and machine learning methods. I use the
Swedish register data for my research.

My work centers around how space create and sustains inequalities. My research aims at showing that individuals鈥 spatial patterns and mobility shapes their life chances, e.g. education, criminality, employment opportunities. To do so, I combine the Swedish register data with innovative data sources like OpenStreetMap. I am part of a research project entitled 鈥淩egister-based Machine Learning鈥 and linked to the .

Thesis

My thesis focuses on spatial inequalities and activity spaces using causal and machine learning methods.

Publications

2025

Ma毛l Lecoursonnais, Maria Brand茅n, Erik Rosenqvist (2025) Population, Space and Place, Vol. 31, Article e70082 (Article in journal)
Ma毛l Lecoursonnais (2025) (Doctoral thesis, comprehensive summary)

Research

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Coworkers

Organisation