Interview with Daniela Aleksieva, the city lead of Burgas.
Burgas has committed to replicate smart city solutions developed within Sharing Cities by the lighthouse cities (Lisbon, London, Milan).
Before starting the implementation of the Sharing Cities project, Burgas had launched a large-scale programme for the improvement of the energy efficiency of its educational, cultural and social infrastructure. It did so as a Covenant of Mayors member and according to the priorities that it had established within the framework of the Sustainable energy action plan.
This includes the refurbishment and renovation but also introduction of systems of control and monitoring of energy consumption in:
All measures that Burgas intends to implement as replication activities under the Sharing Cities project are conceived in the context of the existing strategic planning documents of the municipality, mainly in relation to the Municipal Development plan 2015-2020 and the Investment Programme of the city implementing the Integrated plan for urban regeneration and development 2015-2020. At the same time, all measures are directly inspired by successful models developed by the lighthouse cities within the framework of the project and best adapted to the local circumstances and needs.
Burgas Municipality will carry out replication activities related to citizens’ engagement that will be developed under WP2 of the project and implemented by lighthouse cities. These include information sessions, public meetings and surveys, focus groups and hackathons, online forums and training sessions. Existing communication and exchange mechanisms will be used to promote new smart measures but special events will also be organised in order to involve citizens and make them part of the city transformation.
For more information contact:
These interview questions were prepared by Science Impact for the article SHAR-LLM, Sharing Cities, HORIZON2020 included in Impact publication, December 2017. Click here to download the full article.
This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement N°691895
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