Deadline: 3-Jun-22
If you are a university student, young professional with less than two years of experience or an Ernst & Young (EY) employee looking to learn more about data science and are interested in building a sustainable future, then join the 2022 Better Working World Data Challenge.
How do you preserve biodiversity?
- Life in all its various forms is biodiversity. This variety of life is fundamental to the function of ecosystems, the health of forests – and even their prosperity.
- Help us build computational models to locate biodiversity, specifically frogs. Frogs are a go-to for scientists wanting to study the health of a particular ecosystem.
- The winning outputs will help scientists, policymakers and governments to protect and predict the richness of biodiversity in a specific area.
Levels
Choose from three available options, from beginner to advanced – all are welcome. Curated learning programs from EY, Data Camp and Microsoft to will help you prepare.
- Local Frog Discovery Tool: Build a Species Distribution Model for the frog species – “Litoria Fallax” across Australia using TerraClimate variables.
- Level 2: Global Frog Discovery Tool: Develop a Species Distribution Model for predicting the frog occurrence for nine frog species across Australia, Costa Rica, and South Africa using a variety of open-source geospatial datasets available on Microsoft Planetary Portal (TerraClimate, Sentinel L-2, Copernicus Elevation, Esri 10m Land Cover and JRC Water Surface).
- Level 3: Frog Counting Tool: Build a combined Regression model to predict the density of frog population for regions covering Australia, South Africa and Costa Rica.
Eligibility Criteria
- Any university student with an interest in data science can enter and participate. If you have less than two years of professional experience then you can also join the Challenge. The 2-year work experience limit includes non-data science working experience.
- PhD students are eligible to compete.
- You can enter the challenge as an individual or as a team (maximum four people in a team).
For more information, visit https://challenge.ey.com/