The Ernst & Young (EY) Better Working World Data Challenge 2022 is opening applications. Get prepared, the challenge is open to all university students and early career data scientists. The Better Working World Data Challenge challenged university students and young professionals to create an automated fire-edge detection and prediction model that would aid firefighters in making more timely and informed decisions, ultimately saving lives, property, and biodiversity from wildfires as biodiversity refers to life in all of its forms.
This species diversity is critical to ecosystem function, forest health, and ultimately human prosperity. The winning results will aid scientists, policymakers, and governments protect and forecast biodiversity richness in a particular region.
Challenges:
Participants can select among three different levels of challenges, from beginner to advanced; everyone is welcome. EY, Data Camp, and Microsoft have designed learning packages to assist the applicant in preparation.
Level 1: Using TerraClimate variables, create a Species Distribution Model for the frog species “Litoria Fallax” in Australia.
Level 2: Using a range of open-source geographic datasets accessible on Microsoft Planetary Portal create a Species Distribution Model for estimating the occurrence of 9 frog species across Costa Rica, South Africa and Australia.
Level 3: Develop a mixed regression model to forecast frog population density for South Africa, Australia and Costa Rica.
