The second edition of the CIML Training & Conference, "Frontiers of Causal Inference and Machine Learning", is jointly organized by IMT School for Advanced Studies and the Educating Future Citizens consortium. It 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 four days, the conference will feature:
Two training sessions: Optimal Policy Learning; Machine Learning with Firm-level Data
Two keynote talks
Presentation of scientific papers through a competitive call for papers
Keynote speakers: Fabrizia Mealli (European University Institute) and Richard Hendra (MDRC)
For further information, see also www.cimlconference.imtlucca.it, and to apply: cimlconference@imtlucca.it
Sponsored by the organizers of the reading group: “Policy challenges: International Economics, Geopolitics, and Global Innovation”,
How would fundamental political change in Iran, leading to a democratic system with a free and rules-based economic order, affect Germany and the EU economically? In the event of change, sanctions could be scaled back, allowing Iran to rejoin the global economy. This study quantifies the economic effects of such a transformation. It neither advocates for nor legitimises the lifting or easing of sanctions under the current regime or without far-reaching and credible reforms that fully address the concerns underlying the sanctions currently in place. Using the newest available data and quantitative methods, the results indicate that lifting EU sanctions alone could raise Iran’s real GDP by more than 80% in the long run while generating moderate but economically meaningful gains for Germany and the EU of around 0.3-0.4% of GDP. These gains are driven by expanded trade, lower energy and input prices, and improved allocative efficiency. When sanctions removal is combined with plausible scenarios of productivity catch-up with Turkey or South Korea, Iran’s GDP would increase by 240-388% and the gains for Europe would increase further, underscoring the strong complementarity between trade integration and productivity growth. Moreover, Iran’s reintegration would reduce energy price volatility, improve the security of maritime trade routes, and lower migration pressures. Overall, the findings suggest that a negotiated transition and rules-based reintegration of Iran would generate substantial mutual economic benefits while contributing to regional and global stability.
Join us at imt.lu/aula2
The first edition of the workshop on "Global Firms and Knowledge Diffusion" is jointly organized by IMT School for Advanced Studies and the CEPR - Center for Economic Policy Research. This workshop aims to advance our understanding of how multinational enterprises organize innovation across borders and what this implies for the real economy. We welcome submissions related (but not limited to) to following questions:
What is the optimal organization of R&D within and across countries?
How does participation in global value chains affect innovation?
What are the consequences for domestic firms and national innovation systems?
Has the pandemic and recent geopolitical conflict reshaped global firms’ location choices?
What role do global firms play in the development of AI?
Which trade and industrial policies should guide the future?
By bringing together senior and junior scholars, practitioners, and policymakers, this workshop seeks to foster dialogue at the frontier of research on multinational enterprises, innovation, and policy.
Keynote speakers: Peter Egger (ETH Zurich and CEPR) and Daria Taglioni (World Bank)
For further information and to apply, write us at globalfirms.knowledgediffusion@gmail.com
The first edition of the CIML Training & Conference, "Frontiers of Causal Inference and Machine Learning", is jointly organized by IMT School for Advanced Studies and the CNR-IRCRES, funded by the FOSSR project. It 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 four days, the conference will feature:
Two training sessions (scheduled for July 8 and July 11)
Two tutorial sessions (scheduled for July 9 and July 10)
Presentation of scientific papers through a competitive call for papers
Keynote speakers: Jeffrey Wooldridge (Michigan State University), Nathan Kallus (Cornell University).
For further information and to apply, write us at cimlconference@imtlucca.it