Multiscale Modeling and its Applications

Multiscale modeling is a powerful approach to studying complex systems in various fields such as biology, chemistry, physics, and engineering. It involves using multiple models at different scales, from the microscopic level to the macroscopic level, to understand how a system behaves and evolves over time.

This edition is focused on Multi-agent systems. During this summer school, participants will learn the fundamentals of multiscale modeling, including how to identify the relevant scales for a given problem and how to integrate different models to create a comprehensive and accurate description of the system. They will also have the opportunity to see these concepts applied to real-world problems.

The summer school is designed for advanced master and PhD students with a background in mathematics, physics, engineering, computer science, or a related field. It will provide a unique opportunity to gain hands-on experience in multiscale modeling and to network with experts in the field.

The programme will consist of five mini-courses led by leading researchers in mathematics, numerical analysis, physics, and engineering.

Overall, this summer school will provide a comprehensive introduction to the exciting field of multiscale modeling focusing on the relevant topic of multi-agent systems, equipping participants with the skills and knowledge they need to tackle complex problems and advance their careers.

Practical information

Dates	25 - 29 August 2025
Location	Groningen, the Netherlands
Level	MA/PhD
Fee	€350 includes lunches/coffee/one dinner/one social event
Academic coordinator	Hildeberto Jardón Kojakhmetov , Faculty of Sciences and Engineering
Contact	multiscale.school rug.nl

Requirements

This summer school is designed for Master students in the late stage of their studies or PhD students starting their programme. Basic undergraduate courses common to mathematics/computer science/engineering bachelor programs will be assumed.

It is expected that the participants have a sufficient command of the English language to actively participate in the discussions and to present their own work in English.

Course schedule

The topics that will be covered:

Robotics
Ecology
Mathematics
Numerics

Learning outcomes

After this course you will be able to:

Understand what multiagent based modeling means
Understand the role of multiple scales in several problems in physics and engineering
Get to know a few mathematical techniques relevant for analysis
Grasp open-problems in the field

Workload & certificate

Lectures: 20-24 hours
Presentation: 4 hours

Upon successful completion of the programme, the Summer School offers a Certificate of Attendance that mentions the workload of 24 hours (28 hours corresponds to 1 ECTS). Students can apply for recognition of these credits to the relevant authorities in their home institutions, therefore the final decision on awarding credits is at the discretion of their home institutions. We will be happy to provide any necessary information that might be requested in addition to the certificate of attendance.

Introduction to lecturers

Confirmed lecturers include:

- Ming Cao

- Thilo Gross

More will be announced soon.

Application procedure

To apply, kindly fill out the online application form. Please note that you will be asked to upload the following documents:

Curriculum Vitae (max. 1 page)
Motivation letter, clearly stating why you want to join this summer school, what you will bring to the school and what you hope to learn (max. 1 page)

The deadline for application is 30 June 2025. Selected applicants will be informed by 4 July 2025.

Apply now!

Last modified:

08 January 2025 3.09 p.m.