Don’t just predict the future. Join the Better Working World Data Challenge and use your tech skills to build a better one. Calling all university students and early career data scientists – get ready for the 2021 Better Working World Data Challenge.
Application Deadline: April 2022 midnight (GMT).
About the Award: Are you ready to solve the world’s toughest problems and ask questions that have never been asked before? Put your skills to the test and show us how the power of data and science can improve the way we respond to global issues.
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How do you preserve biodiversity with the click of a button?
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.Join us to collectively help save the plants, animals and microorganisms that are critical to a healthy society and a thriving economy.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.
Level 1: Local Frog Discovery Tool
If you’re new to data science and eager to learn, this is the challenge for you. The task is to build a computational model that can identify the occurrence of frogs for a single location using a single data source. There are curated learning materials to help get you started.
230 participants
Level 2: Global Frog Discovery Tool
If you have good machine learning and data skills, then join this challenge, which asks you to build a computational model that can identify the occurrence of frogs. This challenge requires you to use up to five sets of data and apply it to three locations. This challenge is for those with strong data skills.
72 participants
Level 3: Frog Counting Tool
This is a complex challenge. The task is to build a computational model that can predict the count of frogs in a designated area. This is an expert-level challenge, and you’ll be using multiple data sources as inputs. Come prepared with all your skills!
40 participants
Join us, as we use data, AI and technology to collectively build a sustainable future for society and the planet.
Type: Contest
Eligibility: 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, but you will need to pay to use Azure.
Eligible Countries: Global
Number of Awards: 30
Value of Award:
- 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: Register here
You can enter the challenge as an individual or as a team (maximum four people).
You can make multiple submissions (maximum one per day) with your account before the challenge closes.
Submission requirements and evaluation
- Note that 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.
- It is important to go through all application requirements in the Award Webpage (see Link below) before applying.
- GOODLUCK
Visit Award Webpage for Details
