In our latest update on the OpenWeather Challenge finalists, we highlight Marconi Fabio Vieira. With over 40 years of IT experience, Marconi approached the competition wanting to bridge the gap between environmental hazards and economic reality. He realized that decision-makers often view weather forecasts and economic data in isolation, preventing them from seeing the critical intersection where climate events impact specific sectors.
Project Snapshot: The MVP3 Dashboard
To address this, Marconi developed the Brazil Climate-Economic Risk Intelligence Dashboard (MVP3). This data-driven platform calculates a comprehensive risk index for all 27 Brazilian states. It functions as a decision-support tool that visualizes where environmental hazards intersect with socioeconomic fragility. The system analyzes how weather interacts with factors such as population density and local GDP.
The dashboard processes a wide array of inputs to generate a unified risk score from 0 to 100:
- Environmental Hazards: Uses OpenWeather API data to track heat, rainfall, flood risks, and air quality.
- Socioeconomic Vulnerability: Applies machine learning to analyze GDP, population density, and regional economic structures.
- Integrated Risk Calculation: Combines climate risk (60%) with socioeconomic vulnerability (40%) for a final index.
- Explainable AI: Provides text-based rationales explaining which factors drive the risk score for each state.
Designed for Scale and Collaboration
During his recent discussion with OpenWeather colleagues, Marconi emphasized that while the current iteration focuses on Brazil, the architecture is designed to be adaptable for any nation.
He views the project as a service to society, and has already submitted it to government initiatives for public policy. Marconi is currently planning a second version to incorporate rainforest preservation and emissions data. To realize this vision, he is actively seeking collaboration with universities and research organizations to refine the tool and establish a global standard for climate-economic risk analysis.
The OpenWeather challenge was supported by the Weather Foundation, an initiative to help global communities with not-for-profit educational initiatives, providing free weather data for scientific and research purposes. We provide data enthusiasts with £5 million worth of weather data each year for free, through a range of social initiatives - student, open source, and many others.
