Research Semester Programme

In 2022, CWI launched the Research Semester Programmes, a new initiative to facilitate and accelerate joint research endeavours within the national mathematics and computer science communities.

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Fundamental research in computer science and mathematics can make major contributions to important scientific and societal challenges. For example, think of recent developments in the context of AI and health care, the energy transition or fairness of algorithms. CWI Research Semester Programmes focus on challenging topics to which the national research community can make an important research contribution with both scientific and societal impact.

These programmes:

  • aim to facilitate the exchange of ideas, the development of joint knowledge and the building of lasting relationships between (inter)national researchers;
  • seek to create time and space for collaboration;
  • are comprised of multiple activities over a semester-length, such as workshops, schools and seminars, for junior and senior researchers; and
  • can involve a sabbatical stay at CWI

Testimonials

Read more about the experience attendees had with our earlier semester programmes.

Scheduled

At the end of this page you'll find the Research Semester Programme events that have been scheduled up till now.

Join our Semester Programmes!

Truth is in the Eyes of the Machines - Symposium

9 May 2025 from 9 a.m. to 9 May 2025 6 p.m. | Turing Hall, CWI, Science Park 125, Amsterdam, Netherlands.

This symposium is part of the Research Semester Programme on Misinformation Detection and Countering in the era of Large Language Models.

Workshop on Modern Applications of Control Theory and Reinforcement Learning

20 May 2025 from 9:15 a.m. to 21 May 2025 6 p.m. | Science Park 125, Turingzaal

Following our Spring School and workshop on Themes across Control and Reinforcement Learning, of the research semester programme on Control Theory and Reinforcement Learning, we have a workshop on Modern Applications of Control Theory and Reinforcement Learning.

Workshop on Theory of Control and Reinforcement Learning

19 Jun 2025 from 9 a.m. to 20 Jun 2025 6 p.m. | Science Park 125, Turingzaal

As a part of our semester programme, we organise a workshop on “Theory of Control and Reinforcement Learning” on June 19-20, 2025 at CWI, Amsterdam.

Truth is in the Eyes of the Machines - workshop

20 Jun 2025 from 9 a.m. to 20 Jun 2025 7 p.m. | CWI L016/L017

This workshop is part of the Research Semester Programme on Misinformation Detection and Countering in the era of Large Language Models.

Bootcamp: Interplay Between Machine Learning and Optimization

1 Sep 2025 from 9 a.m. to 1 Sep 2025 7 p.m. | CWI, Euler room, Science park 125

This boot camp is part of the research semester programme on learning enhanced optimization. Goal: kick-off event highlighting the different aspects of the semester programme.

International PhD School: Machine Learning and Optimization

2 Sep 2025 from 9 a.m. to 5 Sep 2025 7 p.m. | CWI, Euler room, Science park 125

This school is part of the research semester programme on learning enhanced optimization. The goal is that there will be 3-4 invited lecturers offering lectures/tutorials for PhD students, with the purpose of training and community building.

Satellite Workshop 1: Learning Augmented Algorithms

7 Oct 2025 from 9:15 a.m. to 10 Oct 2025 7 p.m. | CWI, Euler room, Science park 125

This workshop is part of the broader CWI Research Semester Programme on Learning Enhanced Optimization, contributing to its overarching mission of advancing cutting-edge research in theoretical computer science, operations research and beyond.

Scientific Machine Learning and Numerical Methods – Autumn School

27 Oct 2025 from 9:30 a.m. to 31 Oct 2025 3:30 p.m. | Turing Hall, Congress Center, Science Park 125

This Autumn School 2025 is part of the Research Semester Programme "Bridging Numerical Analysis and Scientific Machine Learning: Advances and Applications." Over the course of five days, five lecturers will provide preparatory PhD-level instruction through a combination of lectures and interactive sessions.