CIML Training & Conference "Frontiers of Causal Inference and Machine Learning"

The event combines hands-on training with high-level research discussions, making it particularly valuable for early-career researchers and professionals looking to deepen their expertise in Causal Inference and Machine Learning.
Over the course of three days, the conference will feature:
- Two training sessions: Optimal Policy Learning; Machine Learning with Firm-level Data
- Two keynote talks by Fabrizia Mealli (European University Institute) and Richard Hendra (MRDC, New York)

Presentation of scientific papers through a competitive call for papers CIML Training & Conference serves as a unique platform for exploring cutting-edge advancements in causal inference, policy learning, and machine learning. By bringing together young and senior scholars, practitioners, and policymakers from diverse disciplines, it aims to foster interdisciplinary dialogue on the latest theoretical developments, innovative methodologies, and practical applications in these rapidly evolving fields.

The two training sessions are designed for early-career researchers, including PhD candidates, postdoctoral researchers, and assistant professors, who are eager to stay up to date with recent advancements in the field.

More information can be found on the dedicated website.