Open Science Data Challenge

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

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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.

At EY, we believe that value-led sustainability 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.

The 2023 Challenge

At EY, we want to enable the creation of open-source solutions that could help save 800 million people from hunger. Now closed, the 2023 Open Data Challenge generated over 13,000 registrations from students at top universities and early-career professionals from organizations across the globe.

With the mission of harvesting data to help solve world hunger, participants used satellite data from Microsoft’s Planetary Computer to predict the effects of climate change on rice production, helping farmers, communities and countries grow more food. Through collaboration with leading professionals, challenge participants honed their skills in programming, algorithmic processes and artificial intelligence to create new tools to help feed the world. Their efforts will contribute to the development of a better, more predictable and more sustainable future. 

A distinguished panel of judges is currently evaluating submissions and expects to announce winners in the coming weeks.

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

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A look back at the 2022 Data Challenge

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