UTFacultiesEEMCSDisciplines & departmentsPSEducationAssignment: Frog Counting Tool - EY Challenge

Assignment: Frog Counting Tool - EY Challenge

Frog Counting Tool - EY Challenge


Problem Statement:

Frogs are an indicator species. This means they are a go-to for scientists wanting to find out more about the environmental health of a particular ecosystem. Due to their permeable skin, frogs are very sensitive to pollutants, and because they can live on both land and in the water, they are a good indicator of the health of these two different environments. Frogs are poorly served by existing species distribution models. They have very localized distributions, more restricted than suggested by a potentially suitable habitat, and therefore existing models struggle to represent their range accurately.

In this problem you will build a computational model that can predict the count of frogs for a specific location using multiple data sets, and to validate your model on two additional locations. (Ref: EY2022-Frog Challenge)


1.       Literature review on the existing works.

2.       Develop a combined regression model to predict the density of frog population for region  Australia , South Africa and Costa Rica using provided climatic variables.

3.       Extend the frog density model with additional datasets like Sentinel-2 Level 2A, JRC Global Surface Water, TerraClimate.


20% Theory, 50% Simulations, 30%Writing


Andreas Kamilaris – a.kamilaris@utwente.nl

Chirag Padubidri – c.padubidri@cyens.org.cy