Engineering Innovation in
Smart Government
Our reaseach project to demonstrate the groundbreaking impact of the adoption of innovative methodologies, tools and data enabling evidence-based policy making.
Approach & Solution
Approach
The opportunities that digital technologies offer are yet to be fully seized by Public Authorities. Complex problems such as migration, poverty, and climate change faced by today's society are increasing complexity for European governments.
To cope with such challenges, data-driven policymaking aims to make use of data sources, analytical techniques and processing power to provide policymakers support in their decisions while involving local communities in co-creation activities to support better targeted policies.
To cope with such challenges, data-driven policymaking aims to make use of data sources, analytical techniques and processing power to provide policymakers support in their decisions while involving local communities in co-creation activities to support better targeted policies.
Solution
The research project DECIDO links Public Administrations (PAs) to the data and compute infrastructure of the European Open Science Cloud (EOSC), piloting the access to and exploitation of a great wealth of additional resources.
The creation of a bridge between PAs and EOSC aims, on the one hand, to widen the use of the European Cloud Infrastructure services and data by PAs, on the other to enable and encourage PAs in using appropriate infrastructures, services, data and methodologies to apply a more evidenced informed approach to policies. The project will also identify and assess the benefits and limitations in using current big data methodologies and compute infrastructures in policymaking.
Engineering coordinates the project. This project has received funding from the European Horizon 2020 Programme for research, technological development and demonstration under grant agreement n° 101004605
The creation of a bridge between PAs and EOSC aims, on the one hand, to widen the use of the European Cloud Infrastructure services and data by PAs, on the other to enable and encourage PAs in using appropriate infrastructures, services, data and methodologies to apply a more evidenced informed approach to policies. The project will also identify and assess the benefits and limitations in using current big data methodologies and compute infrastructures in policymaking.
Engineering coordinates the project. This project has received funding from the European Horizon 2020 Programme for research, technological development and demonstration under grant agreement n° 101004605
Results
PAs guided towards evidence-based policymaking
Seamless linking for PAs to EOSC services
Analysis of benefits and limitations in using cloud and big data methodologies
Project value
Innovation
Process performance
Enabling Technologies
Cloud
AR MR VR
Project Team
Research & Innovation