Building Software for delivering real-time climate risk analytics and projected financial losses

At Resilio Climate Solutions, we are developing a cutting-edge software platform for climate risk analytics to help organizations proactively assess and manage climate-related physical risks. This project aims to create a data-driven, AI-powered solution that provides actionable insights for municipalities, financial institutions, and insurance companies.
Through this initiative, a software intern will contribute to the development of advanced computational models and user-friendly visualization tools, enabling decision-makers to integrate climate risk intelligence into their planning and operations. The project will involve real-time data processing, predictive modeling, and an intuitive dashboard to present climate risk assessments effectively.
With climate change driving more frequent and severe weather events, decision-makers need access to reliable, science-based risk assessments to protect communities, assets, and investments. This software solution will empower stakeholders with predictive modeling, scenario analysis, and user-friendly data visualization to integrate climate resilience into their planning and operations.
The funding will support hiring a software intern who will contribute to the development of key system components, including data integration, and interface optimization. The intern will gain hands-on experience at the intersection of climate technology, AI, and infrastructure resilience, contributing to a solution that has the potential to mitigate financial and social risks associated with climate change.

Faculty Supervisor:

Leyla Soleymani

Student:

Partner:

Resilio Climate Solutions

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

McMaster University

Program: