Period 2019 - 2022
Prof. Carmelina Bevilacqua
MSCA Research Fellow: Pasquale Pizzimenti
Fund HORIZON 2020 - Marie Sklowdoska Curie Actions Individual Fellowship 2018 - Global Fellowship
Topics innovation ecosystems (IEs); governance; decision-making processes
Amount € 269.002,56
ZES - opportunity Zones for innovation Ecosystems governance
The main objective of the ZES (opportunity Zones for innovation EcosystemS governance)project is to build a logical framework for prioritizing public choices at city level towards Innovation Ecosystem (IE) rationale. The ZES project focuses on IEs governance and decision-making processes starting from the analysis of local assets – and their potentials – with respect the urban context in order to reinforce the urban dimension of S3 and of Cohesion Policy for the next programming period
The ZES project moves forward the MAPS-LED findings by investigating governance models and decision-making processes beyond the innovation-driven transformation phase characterized by local IEs, focusing on the assets closely connected with the specific assets/values of the urban context. The IE concept synthetizes the complex dynamics, connections and relationships between actors involved in innovation-oriented processes within cities.
The project is funded by the European Union’s Marie Sklowdoska Curie actions individual fellowship 2018 – Global fellowship – Horizon 2020 programme.
The investigation of the complex knowledge and innovation dynamics occurring within Innovation Ecosystem with respect the urban context can provide useful suggestions for the improvement the Smart Specialisation Strategies (S3) approach and reinforce the Cohesion Policy in a period characterized by uncertainty and severe challenges for EU regions and cities.
The specific aim is to support urban decision-making processes to create/empower local IEs closely connected with the specific assets/values of the urban context and strengthening the partnership between institutions and local communities in exploiting and valorizing local potentials by feeding a sustainable and innovation-driven development pattern.
The ZES project is expected to produce a Smart Open Data Dashboard (SODD) able to support and prioritize public choice at local/city level towards the creation or strengthening of local Innovation Ecosystem. This process is supposed to facilitate the local transition and diversification processes based on the enhancement of complex knowledge and innovation dynamics
ZES is a Marie sklodowska-Curie Individual Fellowship Research project funded by the European Union’s horizon 2020 Programme
The zes project focuses on Innovation Ecosystem governance and decision-making processes starting from the analysis of the local assets – and their potentials – with respect the urban context in order to reinforce the urban dimension of s3 and of cohesion policy for the next programming period. zes moves forwards the results of the mapsled project, providing further insights on how to generate a durable change following the smart specialization strategies (s3) approach in supporting innovation-led urban development.
The ZES project presents a significant levels of interdisciplinary interaction, contamination and synergy activation among complementary fields of study working under an advanced strategy of training and research in the field of Economics, UrbanStudies and Urban Informatics areas. The originality and innovative aspects lie on the analytical tools and techniques that the Researcher selected for the analysis of Innovation Ecosystems. The training activities on the Urban Informatics field provideinsights on the research topics through GIS techniques and spatial data analysis.
The area of Urban Informatics focuses on the analysis of urban systems by leveraging novel sources of data with possible applications in four areas “(1) improved strategies for dynamic urban resource management, (2) theoretical insights and knowledge discovery of urban patterns and processes, (3) strategies for urban engagement and civic participation, and (4) innovations in urban management, and planning and policy analysis”.
The adoption of urban informatics techniques and tools allow to better identify and investigate IEs assets and updated the traditional tools and techniques adopted for the analysis of urban phenomena providing the necessary knowledge and skills to the ER in developing the Smart Open Dashboard.
These methodologies are becoming increasgly relevant in the urban studies field allowing to set flexible tools to respond timely and accurately to the fast societal socio-economic transformations
ZES Research activities aim at analyze IEs assets, governance and decision-making processes providing an evaluation framework able to identify and prioritize public choices in creating/empowering local IEs with respect the urban context characteristics.
The ZES Project Knowledge Transfer process takes place both during the outgoin phase at the Northeastern University (Partner Organization) and during the return phase at the Beneficiary.
The approach that will be followed in order to set up the knowledge sharing methodology
aims at achieving the best result in terms of:
1. Widening the Researcher’s Knowledge and Skills;
2. Enhancing career opportunities for the researcher;
3. Maximizing the research impact in terms of the influence on policy-makers
and the wider resilience and transition management community;
4. Reinforce the international partnership for new research-based collaborations
ZES Smart Open Data Dashboard
Carmelina BevilacquaCLUDsLab Director - Project CoordinatorAssistant Professor - PAU Department Università degli Studi Mediterranea of Reggio Calabria
Pasquale PizzimentiMarie Curie Post-Doctoral FellowUrban and Regional Planner, Marie Curie Post-Doctoral Fellow ZES Project
Alan W. DyerProject Unit CoordinatorProfessor Emeritus - Department of Economics Northeastern University, Boston, MA (USA)
Università degli Studi Mediterranea of
Reggio calabria, IT
Department of Economics
Northeastern University of Boston, USA
ZES Project Brochure
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 846144.