Conferences
On-Site
OPEN
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)
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.
Papers or extended abstracts should be submitted in PDF format and should not exceed 30 pages, including references, tables, and figures. Please include
an abstract (max. 250 words) at the beginning of your submission.
Submit Your Paper: cimlconference@imtlucca.it
We welcome submissions in the following (but not limited to) areas:
- Causal Inference and Policy Learning
- LLM for Economics
- Applications of Machine Learning in Social Sciences
- Text Mining and Text Analysis
- Computational Methods in Economics and Econometrics
- Big Data Analytics and its Policy Implications
- Advances in Simulation and Modeling for Policy Evaluation
Scientific Committee
Armando Rungi (IMT School), Giovanni Cerulli (CNR-IRCRES), Antonio Zinilli (CNR-IRCRES), Marianna Marino (IMT School), Kenan Huremovic (IMT School)
Organizing Committee
Armando Rungi (IMT School), Giovanni Cerulli (CNR-IRCRES), Antonio Zinilli (CNR-IRCRES), Marianna Marino (IMT School), Kenan Huremovic (IMT School),
Noemi Walczak (IMT School), Giang Vu Le (IMT School), Vladan Bjelanovic (IMT School), Samira Jowkar (IMT School)
Venue
CIML Training & Conference will be held at IMT Lucca, located in the heart of Tuscany, Italy. IMT’s historical campus provides a unique setting for academic
exchange and collaboration. We look forward to your contributions and participation in what promises to be an exciting event at the frontier of causal inference and machine learning.
