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Explore causal inference methodologies and their applications across multiple academic disciplines in this 42-minute seminar presented by Professor Stathis Megas from the Medical University of Vienna. Delve into advanced techniques for identifying and analyzing hidden causal relationships that span various fields of study, examining how causal inference theory translates into practical applications. Learn about cross-disciplinary approaches to uncovering underlying causes in complex systems, with insights drawn from medical research and other scientific domains. Discover methodological frameworks for detecting latent causal structures and understand how different disciplines can benefit from shared causal inference principles. Gain exposure to cutting-edge research presented as part of the Isaac Newton Institute's program on "Causal inference: From theory to practice and back again," connecting theoretical foundations with real-world problem-solving across diverse academic and professional contexts.
