Since 2016, Bath researchers have been supporting Data Science training and research projects in Mongolia. This involves a diverse range of professionals in the public, academic and NGO sectors, mainly concentrated in the capital, Ulaanbaatar. There has been a specific focus on understanding the interaction of public policy and mathematical modelling.
Two main examples include:
- Modelling for air pollution and associated health implications: Until recently Ulaanbaatar topped the rankings for the most air-polluted capital city in the world. Smog produced from stoves in yurt dwellings surrounding the city causes a thick blanket to cover the city during the harsh winters. The knock-on effect to respiratory health is severe, particularly for children.
- COVID modelling: Mongolia has a small population, half of which is concentrated in the capital city. Moreover, an estimated 35% of the population is aged 18 or younger. Mongolia’s experience with COVID has been unique with different policy challenges.