DeepHack: Data-driven Energy Efficiency

Europe is at a major energy and circular economy transition. The European Commission proposes to cut greenhouse gas emissions by at least 55% by 2030, setting Europe on a path to becoming climate neutral by 2050.

To achieve this goal, individuals and organizations must adopt fundamental behavioral and cultural changes in order to reduce consumption of fossil fuels such as coal, oil and natural gas, reducing drastically the collective carbon footprint.

Cities play an important role and should design and develop climate-friendly, sustainable urban areas and infrastructure, legislating and enforcing on environmental policies.

Data-driven technological innovation plays a key role in an energy efficient circular economy, like enabling effective waste management, increasing the level and variety of materials being recycled, and incentivizing renewable energies usage.

The “Data-driven Energy Efficiency” Deephack, organized by EIT Digital and EIT Raw Materials together with the Tallinn University of Technology (TalTech) in Estonia, focuses on data-driven innovation for climate-friendly applications. 

Your challenge for this Deephack is to create new, digital solutions to simplify energy savings and boost circular economy for energy and resource efficiency.

The outcome of the hackathon should be a practical demo or MVP of a digital solution contributing to Estonian and worldwide goals of energy efficiency and efficient circular economy.

Potential solution domains include aggregating open and social networks data, enabling new services for energy and raw materials savings, using gamification to motivate people to save energy and recycle more, or creating ICT solutions to make waste management more efficient.