The EERAdata project is delighted to announce the online training workshop on the Decision Support Tool, which will take place on the 15th of February 2022 at 11:00 am CET.
WHEN: 15th February 2022
WHERE: Online
The EERAdata project comes to its end, and we want to thank you for your interest, participation and feedback throughout the last 31 months. To conclude the project, the EERAdata Team invites you to an in-depth training session on the EERAdata Decision Support Tool, our socio-economic and LifeCycle Assessment software for energy efficiency interventions on the public building stock.
We want to give you a detailed tour of all functions of the tool, explain the different workflows and data management principles, and also show how you can use it and experience it yourself. We want to improve the feature set together with you and most importantly, think about the next steps and the future of our findings in an interactive workshop format directly after the training.
REGISTER HERE
Agenda:
11:00- 11:10: Welcome and introduction of the project
11:10-11:45: EERAdata DST Training and Data management course
11:45-12:00: EERAdata DST results and potential uses
12:00-13:00: Q&A, Workshop in breakout rooms
About the EERAdata project
EERAdata (Data-driven decision-support to increase energy efficiency through a renovation in European building stock) will contribute to the understanding and operationalisation of the Energy Efficiency First Principle by defining variables, indicators, and methodologies to assess the socio-economic and environmental impact of EE investment in building stock.
The EERAdata partners have built a user-friendly tool that will allow local administrations to carry out this assessment with ease, using their own data as well as relevant open data sources. Anonymised data of assessments performed with the other implementing partners will also be incorporated.
See our Final Conference Briefing paper for more information about the project and our key results.
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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 847101.