Applied Modeling of Climate-Sensitive Infectious Diseases
The Climate-Sensitive Infectious Diseases lab at Universität Heidelberg, in collaboration with the Interdisciplinary Centre for Scientific Computing, is organising the IWR Summer School on Applied Modelling of Climate Sensitive Diseases.
Date and Place: September 23-27, 2024 (Heidelberg)
Contact: peter.fransson@iwr.uni-heidelberg.de
Welcome!
This year we are organizing an interdisciplinary summer school to equip early-career modeling scientists with the main concepts and methods of researching and implementing models for climate-sensitive infectious diseases. The topics include:
- Climate and disease data preparation
- Statistical models
- Machine Learning
- Process-based modeling
as well as their application to the converging global challenges: climate change and the spread of infectious diseases.
Target Audience
MSc. and PhD candidates as well as postdoctoral scientists and young researchers with interest in mathematical/statistical modeling of infectious diseases.
Prerequisites:
- Familiarity with Python and R.
- A background in science.
- Familiarity with ordinary differential equations.
- Knowledge in compartmental models and machine learning is a plus
Website with more information and registration link:
IWR Summer School 2024
