A team of University of Chicago researchers has secured funding to develop AI-powered weather forecasting technology designed specifically for farmers and communities in developing countries who currently lack access to accurate climate predictions. The project, led by climate scientist Pedram Hassanzadeh and supported by Nobel laureate Michael Kremer, aims to create forecasting tools that help agricultural workers make better decisions about planting, harvesting, and resource management in regions most vulnerable to climate change.

Why Do Farmers in Developing Countries Need Better Weather Data?

Millions of farmers worldwide depend on rainfall to grow their crops, yet many lack reliable weather forecasts that could guide critical decisions. Without accurate climate information, farmers struggle to determine when to plant seeds, when to harvest, which crops to grow, and when to apply fertilizer, pesticides, and irrigation. This information gap can lead to crop failures, food insecurity, and economic hardship for vulnerable communities already facing the brunt of climate change impacts.

The University of Chicago team recognized this gap and designed their project to combine artificial intelligence weather models with local data from developing countries. The forecasts will be tailored to reflect the specific concerns of farmers and public health officials, making the technology immediately actionable for decision-makers on the ground.

What Makes This AI Approach Different From Traditional Weather Forecasting?

Traditional weather forecasting relies on expensive computational infrastructure and generic predictions that don't always address local needs. AI-based forecasting offers a fundamentally different approach. According to Hassanzadeh, "AI is redefining what's possible in modeling the Earth system. For example, it allows for the development of faster and cheaper weather forecasts that can be tailored to local needs, making them a game changer for developing countries on the frontlines of climate change".

"AI is redefining what's possible in modeling the Earth system. For example, it allows for the development of faster and cheaper weather forecasts that can be tailored to local needs, making them a game changer for developing countries on the frontlines of climate change," said Pedram Hassanzadeh.

Pedram Hassanzadeh, Associate Professor of Geophysical Sciences and Director of AI for Climate Initiative at University of Chicago

The team built on earlier work, including FourCastNet, the first pioneering global AI weather model they helped develop just two years ago. Now they're moving beyond the laboratory to create practical tools that vulnerable communities can actually use.

How Will the Team Make These Forecasts Accessible to Other Countries?

The $250,000 seed grant from the Laude Institute's Moonshots program will fund the development of user-friendly software systems that make forecasting simple enough for other nations to implement with their own data. The interdisciplinary team, led by statistician Rebecca Willett, will create new benchmarks that enable easy assessment of different AI forecasts across countries and develop AI tools that produce more accurate predictions with better uncertainty estimates.

• Software Development: Creating intuitive systems that allow meteorological offices and government agencies to incorporate their own local data without requiring advanced technical expertise
• Benchmarking Tools: Establishing standardized metrics to evaluate forecast accuracy across different countries, regions, and weather conditions
• Training Programs: Running workshops on AI-based weather forecasting for officials from meteorological offices, with five countries already participating in 2025 and ten more scheduled for 2026

The team is actively building partnerships to scale the impact. Through collaboration with the Asian Development Bank, they've already begun conversations with officials from four additional Asian countries. Their training program on AI weather forecasting has engaged meteorological offices from Bangladesh, Chile, Ethiopia, Kenya, and Nigeria in 2025, with Colombia, Indonesia, the Philippines, Rwanda, and Senegal scheduled to participate in 2026.

What Does This Win Mean in the Broader AI Research Landscape?

The University of Chicago team was one of only eight winners selected from 125 proposals submitted by more than 600 researchers across 47 institutions. The competition, called the Laude Institute's Moonshots program, asked leading AI researchers to propose how artificial intelligence should tackle humanity's most pressing challenges.

The selection committee included some of the most respected figures in computer science and AI, such as Turing Award winner David Patterson from UC Berkeley, Nobel laureate John Jumper from Google DeepMind, and Jeff Dean, Google's Chief Scientist. Patterson noted that the competition was designed to give the world's most consequential AI researchers the resources to think at the largest possible scale.

"Moonshots was built on a simple premise: that the most consequential AI researchers in the world should be the ones shaping how AI gets used, and that they deserve the resources to think at the largest possible scale," said David Patterson.

David Patterson, Turing Award Winner and UC Berkeley Pardee Professor of Computer Science, Emeritus

The eight winning teams will compete for $10 million in additional funding to scale their projects into open-source systems with global reach over a three-to-five-year period. The University of Chicago's focus on agricultural and public health applications in developing countries represents a shift toward using advanced AI research to address real-world inequality and climate vulnerability.

Rebecca Willett emphasized the human-centered nature of the work, stating that "human-centered AI weather forecasts have the potential to save lives and boost prosperity by providing accurate, actionable information to millions in developing economies".

Rebecca Willett

"Human-centered AI weather forecasts have the potential to save lives and boost prosperity by providing accurate, actionable information to millions in developing economies," said Rebecca Willett.

Rebecca Willett, Worah Family Professor of Statistics and Computer Science at University of Chicago

The project represents a convergence of climate science, artificial intelligence, and economics, bringing together expertise from multiple disciplines to solve a problem that affects hundreds of millions of people globally. As climate change intensifies weather volatility, tools that help farmers adapt and plan become increasingly critical for food security and economic stability in vulnerable regions.

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