Causal Machine Learning as a Foundation for the Next Generation of Scientific Discovery

Causal machine learning is increasingly emerging as a key pillar for the next generation of scientific research. While traditional machine-learning methods excel at recognizing patterns and correlations, they often struggle to answer questions about why phenomena occur or how targeted interventions may change outcomes. By integrating causal reasoning with advances in representation learning and foundation models, new opportunities arise […]