The Circular Economy is an essential element to develop sustainable, low carbon, resource efficient and competitive economy in the face of increasing pressure for production and consumption, but with respect to the environment and the finite nature of natural resources.

Central to the Circular Economy model is the concept that the value of materials and products is kept as high as possible and for as long as possible. This is accomplished by minimizing waste production and encouraging waste valorization to extract secondary raw materials that can replace virgin materials in production processes.
 
In 2015, the European Commission adopted an ambitious Action Plan which included measures to help stimulate Europe's transition towards the Circular Economy, boost global competitiveness, foster sustainable economic growth and generate new jobs. In 2018, the Greek government presented its National Strategy laying out the necessary steps to promote Circular Economy in Greece.
 
Digital technologies hold a great potential for advancing Circular Economy. SYMBIOLABS facilitates Circular Intelligence. Circular Intelligence bridges the Circular Economy with the Data Economy, harnessing the power of Big Data. Based on Business Intelligence (BI), Big Data Anaytics and Machine Learning technologies, we drive profitable business actions and support data value chains for the Circular Economy in several sectors: smart waste management and valorisation, energy efficiency, Industrial Symbiosis facilitation, and logistics optimisation for raw materials, waste and by-products.