Building an ML Model to Predict Future Infrastructure Needs of Africa for Policy Makers

Building an ML Model to Predict Future Infrastructure Needs of Africa for Policy Makers

  • The Results
Challenge completed!

The African Center for Economic Transformation (ACET) seeks to leverage AI to predict infrastructure needs within Africa to build a better future and create opportunities across countries.

The problem

African governments are using significant portions of public budgets to finance infrastructure, but that infrastructure often responds to past or current needs, not future needs based on expected changes related to climate change, migration, urbanization, etc. Given limited fiscal space, African governments need to use all tools available to ensure the infrastructure being built today best serves the people of Africa for the next 50 to 100 years.

In this Omdena Challenge, a global community will collaborate to predict the infrastructure needs of several African countries. We will look into various data sources such as satellite images, socio-economic data, climate and topological data, population and demographic data, Google Trends, Google business data, social media data (to understand aspirations, needs, and sentiments of people living in the region), and other openly available data. The goal is to model the current situation, past temporal changes in population, infrastructure, etc., and in the next step predict future demands of infrastructure.


The project goals

As a team, the aim is to accomplish the following objectives:

  • Building one or multiple models for the future infrastructure needs of Africa (we will limit to selected groups of countries and certain types of infrastructure)
  • Modeling the aspirations of people in the given region of the world
  • Providing recommendations regarding verification approaches and networks to help scale to other countries



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