ENFORCE

Project Summary

Through creative toolkits and protocols, ENFORCE aims to tackle the frequent mismatch between the environmental data gathered by citizens and what authorities require for enforcement purposes. The project will address the challenges in data reporting from both the citizens' side and the authorities' side, in order for the obtained data to be usable for environmental enforcement. In this line, ENFORCE introduces the concept of Data Readiness Level (DRL) to assess the maturity of data to be used as evidence in environmental compliance cases. In addition, the project will capitalize on the use of geo-spatial intelligence and AI-enhanced tools, strengthening their capacities, promoting good practices, and preparing an inventory on geospatial intelligence and AI use.

The proposed solution will ensure alignment with the Green Deal Data Space to ensure trustworthy data exchange among the relevant stakeholders. The project encompasses 8 case studies that involve all relevant actors, including grassroots organizations, local and regional authorities, and a diverse group of experienced researchers forming a scientifically robust interdisciplinary team. The lessons learned and evaluation results from the case studies will feed the replication guidelines that will be promoted through the ENFORCE capacity-building programme and associated policy recommendations to create a multiplier effect for the adoption of citizen science data to support environmental compliance.

ENFORCE will develop a pan-European collaboration and knowledge hub based on the Living Lab principles to become the open innovation framework for all European actors for environmental compliance assurance. The ENFORCE “Living Lab” will co-create sustainable mechanisms to increase Environmental Compliance through Citizens and Innovation (ECCI) and address the cultural and variable barriers around environmental reporting, auditing, and compliance.

Our role

SingularLogic is leading WP3, which focuses on the ENFORCE Plaza Tools Development and T3.5 ENFORCE Plaza Toolkit. SLG is leading T1.4 Data Management. The contribution of the team is significant in many of the tasks of this project.