EY Better Working World Data Challenge 2021: Applications are invited from all university students and early career data scientists for the Better Working World Data Challenge 2021 which aims to solve the world’s toughest problems and put the candidate’s skills to use.
The challenge provides students and early career data scientists worldwide a chance to use their data science skills to make a real-world impact and improve bushfire management. Candidates with the transformative mindset and needed skillset are encouraged to apply.
The 2021 Better Working World Data challenge has two components which includes building a system to detect fire-edges in infrared linescan images and building a system a system to map the location and behavior of fire-edges in satellite images. Both challenges are designed to help streamline the process of bushfire mapping for bushfire authorities.
The challenge involves the use data science and advanced analytic tools to map the location of the fires based on observations in the provided data. Once you have submitted your results, you can continue to refine your model over time to achieve a higher score.
- Any university student with an interest in data science.
- Applicants with less than two years of professional experience.
- Students get free access to Azure, Microsoft’s cutting-edge technology stack, as well as free Microsoft IT certifications.
- Access to tutorials and training.
- The opportunity to collaborate with others around the world.
- The chance to win up to US$10,000 in cash prizes.
- The top 30 finalists in each challenge will also win mentoring from EY.
How to Apply for EY Better Working World Data Challenge 2021.
Interested applicants for the EY Better Working World Data Challenge are to enroll online for the programmes. Applicants can enter the challenge as an individual or as a team (maximum of four people).
Applicants can make multiple submissions (maximum one per day) with your account before the challenge closes.
Submission Requirements and Evaluation:
- Participants are invited to use whatever technologies and/or methodologies they feel would be most appropriate for the challenge at hand. Your results must be submitted on the platform.
- If you are selected as a finalist, you will be provided instructions on how to submit your results and supporting documentation, which should include an explanation of methodologies and algorithms used, along with any code leveraged, assumptions made and any insights identified.
- Finalists will also be required to submit a video presentation of their work. Evaluation criteria will be shared once the finalists are announced.
- You will also be required to provide any code and external datasets leveraged, so be sure you have used only publicly available data and that your code and methodology is robust and repeatable.
Application Deadline: 15 June 2021