The research carried out in this study explores the innovation ecosystems of emerging technologies for citizen participation with three objectives:
1. Define the actors, resources, and enablers that are part of the ecosystems for citizen participation and emerging technologies in Portugal, Spain and the Netherlands.
2. Assess the processes and interactions within these innovation ecosystems in Portugal, Spain and the Netherlands with a view of understanding how they impact on the access, use, generation, and scaling up of emerging technologies for citizen participation.
3. Provide governments with actionable insights about opportunities to enhance innovation ecosystems for citizen participation and emerging technology in the three countries.
Using a mixed-methods research that employed desk research, surveys (Systemic Mapping Survey), interviews, and workshops, this study offer the opportunity for an in-depth analysis of the innovation ecosystems at the national level, while ensuring methodological consistency that enables a comparative assessment of effective practices and common challenges. This evidence based approach points out concrete actions that governments can take to boost the innovation and adoption of emerging technology for citizen participation.
The techniques and instruments combined in this methodological approach include:
Desk research conducted in each country to initially identify actors, communities, and networks. It was used to explore the innovation, cultural, business, historical and civic context for technology-supported citizen participation in each country.
Digital survey (Systemic Mapping Survey) of organisations, communities, and networks in each country gathered information about actors’ practices, roles and resources; linkages between actors and the surrounding environment; the value chain; and the political, economic and innovation environment. The survey was drafted in English and translated into Portuguese, Spanish and Dutch for respondents to choose their language. It was open from May to July 2024. Responses to the survey were used to undertake social network analysis in order to generate an overview of interactions between actors (see Table A A.1)