NEWS: Summer School on Integrated Assessment Models 2023

July 3-7, 2023 – Villa Grumello, Como Lake, Italy

With the support of NAVIGATE and ENGAGE projects, funded by the EU’s Horizon 2020 research and innovation programme.

As climate policymaking becomes increasingly informed by model simulations, it becomes crucial for researchers to better understand how climate-energy-economy models work, how they are used, and how to inform policymaking through their output.

The NAVIGATE and ENGAGE projects, funded by the European Union’s Horizon 2020 research and innovation programme, are therefore launching a Summer School aimed at providing advanced training for young international scholars, advanced PhD students and early postdoc fellows, working on integrated assessment models.

Objectives

The objective of the summer school is to create a community of young scholars from a broad range of disciplines (climate, ecology, economy, energy, political science) actively working on modelling human activities and the earth system in an integrated framework commonly referred to as Integrated Assessment Modeling.

Structure of the week

• 8 lectures about IAMs, including an introductory presentation on IAMs and their role as input to global stock stake and policy analysis.
• Interactive poster sessions where the student will be invited to present their work.
• Hands-on session on the IAMs scenarios (data analysis and visualization).
• Group work on model development/analysis.

Lecture topics

• Opening lecture on IAM history and role in Climate Negotiation
• Macroeconomics
• Energy Systems
• Modelling SDGs
• Social Sciences
• Uncertainty
• Scenarios retrieval, analysis, and visualization

Faculty (Provisional list)

Nico BAUER, Potsdam Institute for Climate Impact Research (PIK)
Valentina BOSETTI, Bocconi University and RFF-CMCC European Institute on Economics and the Environment (EIEE), CMCC
Celine GUIVARCH, International Center for Development and Environment (CIRED)
Daniel HUPPMANN, International Institute for Applied Systems Analysis (IIASA)
Keywan RIAHI, International Institute for Applied Systems Analysis (IIASA)
Roberto SCHAEFFER, Federal University of Rio de Janeiro (UFRJ)
Massimo TAVONI, Polytechnic University of Milan and RFF-CMCC European Institute on Economics and the Environment (EIEE), CMCC
Zoi VRONTISI, E3 Modelling (E3M)
Saritha VISHWANATHAN (tbc), Indian Institute of Management (IIM)
Detlef Van VUUREN, PBL Netherlands Environmental Assessment Agency (PBL) and Utrecht University

Local Organizers

Laurent DROUET, RFF-CMCC European Institute on Economics and the Environment (EIEE), CMCC
Johannes EMMERLING, RFF-CMCC European Institute on Economics and the Environment (EIEE), CMCC

Target audience

Advanced doctoral students (e.g., from 2nd year onwards) and early career scientists (e.g., early post-docs) from any university, research institute, or other organization (private companies, government agencies, NGOs) whose research is focused on using computational methods to study environmental and climate related issues (for instance, energy system models, climate models, ecological models, epidemiological models, macroeconomic models).

Requirement: good programming knowledge in at least one of these languages: Python, GAMS, Julia, R, Matlab, C++.

Number of students

Participation will be open to a maximum of 25 individuals (both EU and non-EU participants).

Scholarships: Up to 5 scholarships are available to applicants from low and lower income countries (World bank classification). The scholarships will cover travel expenses.