Open Science Data Challenge

Don’t just predict the future. Build a better one.

Join the conversation



Twitter Facebook

The world is asking for change

Sustainability is the most pressing issue of our time for the environment, employees and consumers, society and providers of capital.

It will take everyone working together to solve this puzzle. At EY, we believe this starts by business putting sustainability at their core, creating value for business, society and the planet. We call this value-led sustainability, and we believe it’s is bigger than any one business. It’s everybody’s business.

We also have the convening power to bring everyone along for the journey: where everyone has a role to play in realizing new solutions that work beyond business to society as a whole.

Held annually, the EY Open Science Data Challenge produces new IP that drives more intelligent, information-driven and better decisions in mitigating global sustainability issues, such as climate change. EY makes this IP available to NGOs, governments and scientists for non-commercial purposes.

Working together, we can scale our impact through data, AI and technology to collectively build a sustainable future for society and the planet.

Join the 2023 Challenge

How will you harvest data to help solve world hunger?

At EY, we want you to create open-source solutions that could help save 800 million people from hunger.

Using satellite data from Microsoft’s Planetary Computer, you’ll predict the effects of climate change on rice production helping farmers communities and countries grow more food.

Work with leading professionals. Build skills in programming, algorithms and artificial intelligence to develop the tools that can help feed the world. This is your chance to make real change.

Who can enter

Any university student or early-career professional with less than two years of experience can join the challenge. It is also open to EY people.

Don’t just predict the future.​ Build a better, more sustainable one.​

Interested in entering?

Register here

A look back at the 2022 Data Challenge

Experienced professionals

Build a career as unique as you are. We’ll provide the global scale, personal support, inclusive culture and technology you need to become the best version of you.

Find jobs


Students and entry-level

From student programs and other offerings to full-time positions, find a role where you can build an exceptional experience for yourself and a better working world for all.

Find jobs

Contact us

Like what you’ve seen? Get in touch to learn more.


Getting started

This year’s challenge has two components:

Challenge 1: Build a system to detect fire-edges in infrared linescan images

Challenge 2: Build a system to map the location and behaviour of fire-edges in satellite images

Both challenges are designed to help streamline the process of bushfire mapping for bushfire authorities. Using data science and advanced analytic tools, your task is 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.

Who can enter

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.

How to enter

The Challenge is open from 24 March until 15 June 2021 and you can join at any time.

Registrations are already open and you can enrol 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.


All submissions must be made by midnight, 15 June 2021 (GMT). The top 60 global finalists will be notified and required to present a video with their findings, methodologies and assumptions, and provide any artefacts such as code base to the judges as requested. Finalists will also be required to attend the global virtual awards ceremony in the first half of July 2021.

Register here

Contact us

Like what you’ve seen? Get in touch to learn more.