Concept

The transition to a sustainable circular economy model has been internationally recognized as a key priority for improving social, environmental and economic sectors. Utilizing emerging data value chains is a key factor in achieving this goal. However, it entails open challenges due to the lack of comprehensive correlations and insightful access to knowledge harvested from distributed and heterogeneous circular economy relevant data. Big data sources emerge in parallel and data threads evolve in sectors which have a lot to gain if their data are merged or correlated.

The REGAIN Workshop aims to highlight opportunities for boosting data-driven circular practises towards innovative digital transformations. Under the triple-helix of activism – discovery – thinking, REGAIN will reveal new synergies potential for Data/AI and Green/Circular ecosystems along with the need for effective skill sets and business processes, as shaped by representatives from SMEs, social innovators, academia, and policy makers.

Objectives

Explore big data and open data value chains to leverage them and to enable a beneficial shift towards cautious circular economy;

Showcase Data Science and Data Technologies pipelines, platforms and tools which generate knowledge and provide insights for stakeholders’ awareness, business intelligence and decision-making with respect to the circularity importance;

Identify the data technologies digital skills and competencies that affect the emergence and effectiveness of circular economy practices in today’s business models and practices based on the opportunities offered by Big Data;

Open collaboration and dialogues among key Green/Circular and Big Data/AI stakeholder communities (SMEs, start-ups, citizens, companies, academia, public sector) to encourage synergies and complementary actions to further increase awareness and adoption of circular economy practices