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Maël Lecoursonnais is a postdoctoral researcher at Linköping University, specializing in analytical sociology with a focus on spatial inequalities and activity spaces through causal machine learning methods. His doctoral research explores the implications of spatial patterns on life chances, examining how mobility affects education, criminality, and employment opportunities. He utilizes Swedish register data in conjunction with innovative sources such as OpenStreetMap to enhance his studies. Lecoursonnais is involved in the research project titled 'Register-based Machine Learning', which is a collaboration with the Swedish Network for Register-Based Research.
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