Predicting Climate and Geopolitical Risks for Financing Energy Needs in West & Central Africa
Within two months, the team built two risk scoring systems, using Analytic Hierarchy Process (AHP) models for predicting climate and geopolitical risks to help financing institutes make more informed decisions.
Finz focuses to help global decision-makers, such as government entities, banks, or foundations, to finance autonomous and light units for water or energy efficient accesses, in urban and rural contexts. It is now widely accepted that climate change or geopolitical issues pose serious threats to the availability of essential-to-life resources, such as water or energy.
In emerging countries (Africa or Southeast Asia), access to resources for human or animal consumption, and agriculture needs to secure food, are keys. In developed countries, climate change threatens the availability of water (e.g. California) and will figure a big issue for all inhabitants on Earth tomorrow.
We believe to help how decision-makers act and decide with accuracy in predicting risks of damage /destruction on assets or population that could be a catalyst factor to adjust essential-to-life needs with decisions.
The Project Results
More than 40 technology change-makers worked on publicly available datasets, like satellite imagery, land cover data, and news outlets, to Extract relevant data points, Transform these points into useful information sources, and Load these in newly created models to compute Climate Change or Geopolitical driven Risk Scores.