Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
Explore causal inference methodologies and their applications across multiple academic disciplines in this seminar presentation 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, from medical research to social sciences. Learn how to apply theoretical frameworks of causal inference to practical research problems and discover methods for uncovering underlying causal mechanisms that may not be immediately apparent. Examine case studies and examples that demonstrate the cross-disciplinary nature of causal analysis, understanding how similar methodological approaches can reveal insights across different domains. Gain insights into the challenges and opportunities presented when attempting to establish causality in complex systems where multiple variables interact. This presentation is part of the "Causal inference: From theory to practice and back again" event series at the Isaac Newton Institute for Mathematical Sciences.
