Causality and machine learning [CIFW04] | 16 June 2026

Workshop theme This workshop explores recent advances in the use of flexible machine learning techniques alongside semiparametric and nonparametric statistical methods in causal inference. Recent methodological work has focused on combining modern machine learning tools with the inferential rigor of semiparametric and nonparametric frameworks to estimate causal parameters in complex, high-dimensional settings. The aim is to move beyond the predictive focus typical of standard machine learning, and instead develop estimators that enable valid causal inference while achieving desirable statistical properties such as efficiency and robustness. The workshop will highlight cutting-edge developments and foster discussion on future directions in this rapidly evolving area. Topics will include: The integration of machine learning tools in causal analysis, including estimation of heterogeneous treatment effects and optimal treatment policy design. 🔗 Find out more: https://www.newton.ac.uk/event/cifw04/ ------------------- FOLLOW US 🌐| Website: https://www.newton.ac.uk 🎥| Main Channel:    / @isaacnewtoninstitute   🐦| Twitter:   / newtoninstitute   💬| Facebook:   / newton.institute   📷| Instagram:   / isaacnewtoninstitute   🔗| LinkedIn:   / isaac-newton-institute-for-mathematical-sc...   SEMINAR ROOMS 🥇| INI Seminar Room 1:    / @iniseminarroom1   🥈| INI Seminar Room 2:    / @iniseminarroom2   🛰️| INI Satellite Events:    / @inisatellite   ABOUT The Isaac Newton Institute is a national and international visitor research institute. It runs research programmes on selected themes in mathematics and the mathematical sciences with applications over a wide range of science and technology. It attracts leading mathematical scientists from the UK and overseas to interact in research over an extended period. 👉 Learn more about us and our events here: https://www.newton.ac.uk