Summer school "Computational approaches for epidemiology and public health"

The COVID-19 pandemic has once again highlighted the need to integrate computational approaches more deeply into public health practice. Computational methods like viral phylogenetics, digital contact tracing, and others have had a clear and direct impact on the pandemic. To further implement these approaches in local public health practices, we need to strengthen the collaboration between state-of-the-art science and technology and public health.

In this summer school, our main objective is to bring PhD and master students with a strong quantitative background closer to the challenges of epidemiology and public health, and work with them on developing proposals for concrete applications.

The deadline for applying is 31st of May 2023.