The International Autumn School lasted five days (from Monday, November 6th, to Friday, November 11th) with five days of work and a day off. Activities included lectures and conferences, participant presentations, reading sessions, and group exercises. A social dinner was planned on Wednesday, November 8th, evening, and social activities were organized on Saturday, November 11th.


General lectures

The first three days were devoted to general lectures, presenting the challenges of prospective modeling, energy system issues, and the water-energy nexus. Some lectures were also devoted to introducing the TIMES family of models. Lectures presented various country perspectives on long-term energy and climate issues. At a different level, speakers emphasized the relevance of the water-energy nexus challenges.


Practical sessions on prospective modeling using TIMES models

Then, two days were devoted to practical group exercises. Those sessions, using TIMES models, allowed participants to discover the model (for beginners) or to exchange on their ongoing work if they were already advanced TIMES users. A prospective study project was conducted, and students had to work on it in groups during the week. The last half-day was dedicated to an oral presentation of this project and possibly the first draft of an academic paper for submission to an international peer-reviewed journal (the most advanced proposal(s) may have been continued in collaboration with the organizers up to the submission).

Spurred by issues of climate change and economic globalization, prospective modeling was considerably reinvested following years of neglect. The connections it made between numerical/quantitative projection, mathematical economics, public economy, and strategic thinking made it a valuable tool in the context of international negotiations on climate.

The renewed interest in this subject was an opportunity to present the range of analyses and prospective elements developed using the TIMES family of models to build informed energy policies compatible with climate challenges and in line with the chosen direction of society.

A variety of different research environments used the TIMES family of models; the topic was multi-disciplinary, and many TIMES modeling teams/groups were small. To be an adept user of comprehensive energy system optimization models like TIMES required expertise on the system in focus, operation research and economics, coupled with knowledge about what policymakers needed.

During the Autumn School, dedicated sessions using TIMES models allowed participants to discover the model (for beginners) or to exchange on their ongoing work if they were already advanced TIMES users.

In the context of energy transition and using concrete examples, we explored how these tools, which brought into play applied mathematics and economics skills, had become an essential aid to prospective reflection on policies to fight climate change. In other words, we intended to understand the mechanisms underlying ambitious contemporary energy policies at work in selected countries using studies carried out by local and national ETSAP teams partnering with the project.



Social Activity 

On Saturday, November 11th, a day of social activity was organized. In the morning at 10 AM, a guided tour of the Oceanographic Museum of Monaco, in English, was offered. Then, the group headed to Nice for lunch at a traditional restaurant. Afterward, the historic center of downtown Nice was visited until around 4:30 PM.

All transportation to reach the various sites was covered.

Also, don’t hesitate to check out the faculty page, where you’ll find our scheduled speakers.

In the meantime, you can take a look at the Handbook of the 1st International Summer School on prospective modeling and energy transition, which contains a full account of the previous edition


The Organization team

This Autumn School is organized by Sabrina BEKLI, Claire CAUMEL, Naïma CHABOUNI, Lucas DESPORT, Alice SPASARO and Cédric STANGHELLINI.

Contact: (with the e-mail object: Autumn School + Your first name and last name)