Other activities

COMPUTE organizes two annual events, the Winter meeting and the Summer retreat.

The Winter meeting is a workshop in Lund with presentations under a common theme and is open to anyone. The Summer retreat is for COMPUTE members, PhD students, partners, and supervisors, and invited lecturers and focuses on skills development, usually at a location outside of Lund, but not always.

COMPUTE also organizes other workshops, sometimes in collaboration with partner organizations, and lunch mingles for networking and exchanging experiences. In addition, we host peer learning groups and provide materials for self-learning.

Workshops

2026 Spring Meeting

The 2026 COMPUTE Spring meeting is an interdisciplinary PhD conference held in the afternoon of the 19th of March. This half-day interdisciplinary PhD conference brings together PhD students and supervisors from different faculties at Lund University who engage with computational approaches in their research.

2025 Autumn Meeting

The 2025 COMPUTE autumn meeting was held on 2nd December 2025. The event held entitled Computational work in the public sector and industry.

Workshops history

See list of previous workshops at COMPUTE workshops

Peer mentoring groups 2026

Peer mentoring groups bring together likeminded COMPUTE members in small groups who meet monthly to council each other on career development, soft skills and other topics of choice related to their research and transition to their next job.

To be part of the next round, please go to the Peer mentoring group page (registration closes Dec 15, 2025).

Ongoing activities

Peer-learning groups

Peer-learning groups are for people who want to acquire a certain skill on their own and connect with others who do the same.

The following links provide access to the material of past peer-learning groups:

If you have ideas for new peer-learning groups, please read the websites for each group and get in touch.

Self-study material

Some of the COMPUTE courses and peer learning groups have released material for self-studies.

AI in Medicine and Life Sciences – AI for image and video data

Course material for AI for image and video data (GitHub)

Reproducible and Interactive Data Analysis and Modelling using Jupyter Notebooks

Course material for Data Analysis and Modelling using Jupyter Notebooks (GitHub)

Solving PDEs with DUNE-FEM

Course material for PDEs with DUNE-FEM (Canvas)

DUNE tutorial (Dune Project's website)

For the material from the peer learning groups click the links to their pages above.