Future of Integrated Assessment Models: Pathways Towards Carbon Neutrality for Climate, Environment, Health and Socio‐economic Co‐benefits

Integrated Assessment Models (IAMs) are essential tools for exploring pathways to carbon neutrality and designing effective policies. By addressing the intersections of climate, environment, health, and socio-economic co-benefits, the seminar aims to foster an interdisciplinary exchange of knowledge concerning four critical themes:

1. Challenges in Linking Earth System and Socio-Economic Models: Integrating physical and socio-economic processes is crucial for holistic climate policymaking. Discussions will cover strategies to harmonize temporal and spatial scales and incorporate socio-economic feedback into Earth system models.

2. Dynamic System Modeling Approaches: Exploring advanced methods for capturing non-linear dynamics, feedback loops, and time delays. Emphasis will be on overcoming computational barriers and enhancing the usability of models for policymakers.

3. Impacts of Extreme Events and Tipping Points: Evaluating the cascading effects of extreme weather and climate tipping points on human and ecological systems. Case studies and innovative methodologies will highlight resilience strategies.

4. Pathways Towards Carbon Neutrality: Identifying existing barriers and potential improvements impacting IAMs ability to inform actionable decarbonization pathways. Critical aspects concerning the balance of climate goals with economic development and social equity, as well as the impact of policy integration and technological innovations will be addressed.

A fruitful interplay between leading experts, early-career researchers, and doctoral students will contribute through lectures, poster presentations, and collaborative discussions to a greater understanding of the IAMs future and role of the latter in the decarbonization process.

The conference language will be English. The Wilhelm and Else Heraeus-Foundation bears the cost of full-board accommodation for all participants.