Most certainly, the biggest change we've all experienced in 2020 was with regards to our mobility. These changes were introduced to mainly curb the spread of the Coronavirus. Therefore, understanding and quantifying these changes is of great importance, as well as relate them to how these changes could have contributed to slowing the spread of the pandemic.
In this thesis, you will work with human mobility data extracted from various online social network (e.g., Twitter), model various aspects of how people moved before the 2020 pandemic outbreak and evaluate it against the changes observed during this period.
Good to have
- Previous experiences with modelling time series data
- Experiences with Machine Learning
- Excellent experience with Python/Julia
If you are interested, send me an email with your CV and transcripts.
Leonardo Tonetto, tonetto at in tum de