In the United States and many other industrialized nations, high-temperature-related events account for a larger proportion than all other natural events combined, and cities are the most severely affected areas. Urban areas are particularly vulnerable to temperature increases due to the high density of tall buildings, along with a lack of green spaces and water sources.
🔸 As a result, cities can be significantly hotter than suburban and rural areas at the same time, impacting public health and increasing energy consumption.
🔸 This is where AI and data come into play. The EY 2025 AI & Open Data Science Challenge (https://challenge.ey.com/2025) is an excellent opportunity for students to engage in meaningful activities, develop skills in data science, address critical climate issues, and contribute to a more sustainable future.
🔸 This is a global issue, but the solution starts with your actions today—register now!
🔸 Competition Timeline: Registration is now open and will close on March 20, 2025. Sign up today! (https://challenge.ey.com/register)
🔸 Eligibility: Open to all university students and newcomers to the job market.
- Participants can compete individually or in teams of up to three members.
🔸 Prizes: The winning team will receive a cash prize of up to $10,000 USD and an invitation to the award ceremony on May 15, 2025.
🔸 Competition Theme: How can AI and data reduce risks as urban temperatures rise?
🔸 What will participants do?
- Competitors will build machine learning models using satellite data from two areas of New York City (Bronx and Manhattan) to identify urban temperatures.
- Finalists will develop a practical implementation plan to demonstrate how their models can help mitigate the urban heat island effect.
🔸 For inquiries about the competition, please contact the organizers at: datachallenge@ey.com
