AI for Energy: Transitioning toward a Sustainable Energy System

AI for Energy: Transitioning toward a Sustainable Energy System

  • The Results
Project finished!

In this Omdena challenge with the World Energy Council, the community will apply AI to understand how citizens of the world perceive their role in accelerating the pace of energy transition and their awareness of the associated social risks, opportunities and costs.  

 

Energy transition: A global problem

We are working to identify and understand the many levers of humanizing the Energy Transition – The World Energy Council working with Omdena is launching a global challenge to understand how citizens of the world perceive their role within the energy transition.

Ultimately, the Council is aiming to measure and track public sentiment on emerging issues relating to the social impacts of accelerating energy transition and progressing decarbonization of the whole economy. This challenge aims at increasing awareness of potential social barriers and unexpected risks to the energy transition. Omdena is a collaborative platform where organizations work with a diverse AI community to build human-empowered solutions for real-world problems.

For more details regarding the problem visit the homepage of the World Energy Council.

 

The goal: Applying AI for understanding energy transition 

The collaborators will analyze the sentiment of people in different parts of the world on emerging issues relating to the social impacts of accelerating energy transition and progressing decarbonization of the whole economy. We will use social media data, newspaper articles, and additional resources.

 

Why you should join the challenge

The partner organization, World Energy Council, is a global and inclusive forum for thought-leadership. Its mission is ‘To promote the sustainable supply and use of energy for the greatest benefit of all people’. 

For the next two months, you will not only build AI solutions to make a real-world impact but also go through an entire data science project lifecycle. This covers problem scoping, data collection and preparation, as well as modeling for potential deployment.

And the best part is that you will be part of a global collaboration.

 

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