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The aim of the inGov project is to develop and deploy a comprehensive IPS holistic framework and ICT mobile tools that will support IPS co-creation and governance. The project will enhance and, where needed re-design, existing EU solutions, including EIF, EIRA, Core Vocabularies etc
Today public authorities need to provide better services with fewer resources. Citizens require accessible, user-friendly, personalised, and integrated public services that match their needs and circumstances. At the same time, trust in the public sector deteriorates. We argue the solution rests in enhancing existing relevant EU work (on policies, models, frameworks, roadmaps etc) by adopting best research and practice (e.g. in public service co-creation) and by exploiting relevant technologies particularly mobile apps, virtual assistants (chatbots), knowledge graphs, and linked data. We acknowledge that for many years, the EU is providing useful practical advice including frameworks (e.g. EIF), models (e.g. CPSV), architectures (e.g. EIRA), roadmaps, etc. These however are not directly applicable anymore as they do not incorporate the latest research and practice, e.g. in public service co-creation. Similarly, research is not related to EU work and practice is not related to research. The vision of the inGov project is to provide innovative ICT-supported governance models as well as mobile apps including chatbots, which will enable stakeholders' collaboration in co-producing inclusive and accessible Integrated Public Services (IPS) thus increasing trust and satisfaction. For that purpose, multidisciplinary scientific methods will be used including design science, multiple case study and variants of the technology acceptance model. The project results will be piloted in Malta to modernise the digital family household public service (affecting 200,000 households), in Austria to deploy IPS for collecting tourism tax (affecting 3,200 accommodation providers), in Greece to digitise the disabled card renewal service (benefiting 11,500 disabled, low-income citizens) and in Croatia to create AI-driven virtual assistants and services (affecting 32,000 citizens). We aim to feed our results back to EU policies hence achieving alignment between policies, research and practice.

For more information on inGOV, see:

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