The complexity of biology makes it hard to distinguish correlation from causation. In addition, the explosion of biological data and AI tools has led some to question the need for identifying causal relationships to achieve predictive power and make practical progress in biology.
This symposium will focus on causal inference from different kinds of biological data and mathematical approaches, including the extent to which machine learning and AI tools can reveal causal relationships.
More info and registrations