Application Deadline: June 2, 2022, 6:00:00 PM
Ernst & Young (EY) 2022 Better Working World Data Challenge
If you are a university student, young professional with less than two years of experience or an EY employee looking to learn more about data science and are interested in building a sustainable future – join us as we ask:
- 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 our 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.
Level 1: Local Frog Discovery Tool
- This challenge is to predict the occurrence of a single species of frog for a single location using a single data source at a coarse spatial resolution.
- The output will be a species distribution model of one species of frog. Species distribution models are one of the most widely used ecological tools, a cornerstone in many countries worldwide of environmental regulation and conservation.
Level 2: Global Frog Discovery Tool
- Participants who choose to undertake Challenge 2 will develop a species distribution model (SDM) for nine selected frog species across Australia, Costa Rica, and South Africa using a variety of open-source geospatial datasets.
- This challenge is for those with intermediate to advanced data skills.
Level 3: Frog Counting Tool
- This challenge asks you to 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. This challenge is for those with expert-level data skills.
- Why frogs? 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.
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