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    • Resilience and Transition Management | TREnD
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    • Resilience and Transition Management | TREnD
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ZES Project

opportunity Zones for innovation EcosystemS governance

The aim of the Zes project is to build a logical framework for prioritizing public choices at city level towards innovation ecosystem rationale.

  • Period 2019 - 2022
  • People Supervisor:
    Prof. Carmelina Bevilacqua
    MSCA Research Fellow: Pasquale Pizzimenti
  • Fund HORIZON 2020 - Marie Sklowdoska Curie Actions Individual Fellowship 2018 - Global Fellowship - Grant Agreement No 846144.
  • Topics innovation ecosystems (IEs); governance; decision-making processes
  • Amount € 269.002,56

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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.

Research

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

Focus

 

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.

Innovation

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

Implementation

The ZES project
The ZES project is expected to produce the IEs evaluation framework for prioritizing public choices at city level towards innovation ecosystem rationale. The aim is to support decision-making processes through a Smart Open Dashboard, able to “scan” territories and cities highlighting their assets, their potentials and how to exploit them in line with the Cohesion Policy and the S3 approach promoting a more inclusive innovation-led urban/territorial development tailored to the local context and needs.
ZES Research activities

Innovation Ecosystem from the theroretical and policy perspective (WP1 – Innovation Ecosystems, urban governance analysis and assessment methodologies.)

During the first and second years of the action, the project activities have focused on two main aspects. The first was related to the urban dimension of the innovation ecosystem, intended as the urban govern support to create or strengthen the innovation ecosystem, and the second related to the interaction with the context.

The first WP related to research focused on the analysis of innovation-oriented policies centered on IEs, the governance urban models (structures, actors) adopted and the assessment frameworks defining the methodological background (indicators grid) for the activities to carry on during this step: Literature review on the innovation-oriented policies and the urban governance models (governance structures, actors), their main characteristics and the urban decision-making processes centered on innovation ecosystems; and Analysis of IEs assessment frameworks. Starting from the analysis of the existing IEs frameworks this step provides the grid of indicators for the IEs analysis and the necessary elements for the identification of the key assets, the complex relationship among actors and the innovation dynamics with respect the city/urban context and the strategies adopted finalized at the development of the grid of indicators to map out IEs assets and dynamics with respect the city context.

The literature review conducted in this direction has revealed two interesting insights: the attention of scholars on the innovation ecosystem concept from a complexity perspective and the identification of a set of “urban” innovation ecosystem concept/assessment frameworks. Studying the innovation ecosystem from a complexity perspective had two relevant implications for research activities. First, the innovation ecosystem as Complex Adaptive Systems (CAS) shows specific abilities, making them suitable to address contemporary challenges. For example, self-adaptation, self-organization, transformation are just three abilities that can respond to the current need of cities for a green and digital transition towards resilience and sustainability for the post-pandemic city. Second, the ecosystemic methodological research framework (Phillips and Ritaala, 2019) sheds light on the interactions of the innovation ecosystem with the context from an evolutionary perspective. However, such interaction is strictly focused on a temporal dimension, not paying attention to the spatial interactions of the innovation ecosystems elements with the other actors in the urban context. So, the territorial research perspective provides the ground to better investigate the topic, identifying the lack of innovation-oriented policies and the main characteristics of the local decision-making process for their creation or development.

This element opens the floor for the second interesting insight deriving from the literature review. Understanding the urban dimension of the innovation ecosystem also means finding out the urban innovation ecosystem characterization at urban level. In this direction, starting from the MAPS-LED (Horizon 2020 MSCA-RISE) project’s findings, a set of innovation ecosystem concepts/assessment frameworks considering the urban dimension has been identified and analysed: the innovation district/ecosystem (Katz and Wagner, 2014; Vey et al., 2017), the city innovation ecosystem (Geek et al., 2016), the urban technology innovation ecosystem (Mulas et al., 2016), the Place-based innovation ecosystem (Rissola et al., 2018, 2019, 2020), and the economic cluster concept (MAPS-LED). Furthermore, these concepts assessment frameworks have been identified as coherent with the action topic based on the urban governance processes supporting the innovation ecosystem dynamics. Starting from the work conducted with the MAPS-LED project (Horizon 2020-MSCA-RISE), which sheds light on the connection between innovation and knowledge dynamics and urban transformation in cities, the research activities have identified the main characteristics of the urban innovation ecosystem focusing on its urban characterization. Specifically, Innovation ecosystems’ assets concerning the context have been identified: economic, physical, and networking. To identify and map these assets in the case study area, open, official, and publicly available data have been used.

The urban characterization of innovation ecosystems (WP2 – Innovation Ecosystem assets analysis with respect the urban context)

The second WP related to research activities focused on the analysis of IEs’ assets with respect the urban context characteristics. The selection of a set of indicators to investigate and map IEs assets is the key element to comprehend how innovation-oriented dynamics affect the social, economic and physical dimension. The activities focused on the: 

  • Data gathering and collection. The Boston Area IE is analyzed and mapped applying the grid of quantitative and qualitative indicators coming from the WP1 activities.
  • Map quantitative and qualitative indicators. Indicators are mapped out using a mix of traditional (statistics-GIS) and non-conventional analytical techniques and tools (Information and Data visualization techniques) related to the “urban informatics area”.

The analysis of the innovation ecosystem concepts/assessment frameworks has identified three main assets to consider: economic, physical, and networking. The first comes from the results of the MAPS-LED project, which has spatialized the activities of economic clusters in the case study area. According to the innovation ecosystem concepts analysed, Clusters can be considered economic assets of the ecosystem at the urban level; they do not concentrate businesses but activate complementary synergies and dynamics in the urban environment supported by public policy actions. The second asset category- the physical assets – is represented by physical space where activities are host. Start-up location and concentration have been considered a proxy for the identification of this asset. Third, the networking asset relates to the innovation spaces that foster networking activities for the ecosystem’s actors. These spaces are incubators and accelerators, and co-working spaces. These three categories have been considered for their ability to activate networking activities beyond the nature of the space itself. Incubators and accelerators are spaces dedicated to incubating and accelerating start-ups and small businesses. However, they activate a set of complementary activities for all the actors operating in these spaces, such as conferences, meet-ups, networking, cafè, venture capital meetings, etc. The same happens for co-working spaces. Finally, the urban innovation ecosystem has been mapped out, generating dynamic maps of innovation ecosystems assets for the case study area, the cities of Boston and Cambridge. Such dynamic maps include the relationship with the zoning of the two cities, given the relevance of the mixed-use zoning approach in supporting the innovation ecosystem urban development.

Given the mutated policy context, the innovation ecosystem concept has been framed in the resilience and transition-oriented policy framework to understand how the creation or reinforcement of urban innovation ecosystem can support cities’ transition. The activities focused on the economic development and planning nexus in the case study area (Boston and Cambridge, USA). Starting from the Federal to the local level, economic development and planning documents have been considered to understand how the innovation ecosystem is created or supported in the context of resilience-oriented development. This process revealed how the cities of Boston and Cambridge started resilience-oriented planning many years before the pandemic and specifically after the economic downturn of the 2010s. The Federal Government approach, concerning the topics of the project, is characterized by a multi-level governance perspective to facilitate local economic development. However, the Opportunity Zones tool, introduced by the US Congress to revitalize urban economic distressed areas, reveals the marginal role of cities’ administrations in the planning and managing such zones from the economic development perspective. This gap is a relevant finding given the recent developments of the academic debate on the need to transform opportunity zones into innovation zones following the innovation ecosystem rationale. Introducing this approach in Europe for small and medium cities can support more effective implementation of Smart Specialisation Strategies (S3). Indeed, cities’ role can shift from mere regulative authorities to proactive actors in planning, orchestrating, and managing city knowledge and innovation dynamics through urban governance mechanisms. The opportunity zones concept allowed to provided coherence and consistency of the data collected.

By merging the opportunity zones concepts with the urban planning strategies (Comprehensive General Plans) designed by the cities of Boston and Cambridge, it was possible to identify two urban areas of inquiry to understand where and how the two cities are managing the transition towards a resilient urban development. Furthermore, this process allowed also to identify a preliminary list of stakeholders to inter-view and to formulate the key research questions to find the answer. The next step will consist in the analysis of the urban areas selected by identifying the key policy action.

Innovation Ecosystem as leverage for urban transition (WP3 – IEs assessment assets prioritization and targeted policy action formulation)

The third WP related to research activities focused on the in-depth case study analysis of the Boston area (city of Boston and Cambridge, USA). The case analysis has been conducted by following the Driving for Urban Transition approach (JPI Urban Europe), which identifies three main thematic areas of development for the investigation: energy district, sustainable mobility, and circular economy. These thematic areas are crossed horizontally and vertically from urban innovation ecosystem capabilities. UIEs, indeed, thanks to new technologies development and the ability to link global and local knowledge dynamics, can provide suitable solutions for addressing key urban issues. Therefore, following the urban informatics principles, activities have focused on the following aspects: 

  • Data gathering and collection. Open and large datasets available from official and public sources have been explored in terms of coherence with the DUT approach (Analyze Boston, City of Cambridge open data portal, Boston Area Research Initiative – BARI – Dataverse Hub).
  • Mapping indicators. Open and publicly available data and indicators have been explored and mapped using non-conventional analytical techniques and tools (Information and Data visualization techniques through R-studio)  related to the “urban informatics area”.
  • Framing indicators following the Driving Urban Transition (DUT) approach Data have been organized following the DUT three thematic areas: energy district, sustainable mobility, circularity. Data have been selected on the basis of their availability on open and public data repository such the ones of the cities of Boston and Cambridge and the Boston Area Research Initiative (BARI) dataverse open repository

The research activities conducted during this WP allowed to better comprehend UIE dynamics and the role of urban planning and governance in supporting urban transition process. Specifically, from the case study analysis it has been possible to identify the main elements argued to driving transformative development processes. First of all, the multi-level governance perspective, through which Federal, regional, State, Metropolitan, and local authorities share visions, objectives, and plans, is one of the main elements resulted. All the public authorities involved in the economic development planning cooperate and design strategies and plans that are encouraged and opportunely adapted to local context need. This aspect introduces the second main element: the importance of urban planning and governance. Both the city of Boston and Cambridge have designed – and already implementing – comprehensive development plans aimed at foster resilience and transition towards sustainability. The third element is related to the zoning code and ordinances. The case study analysis outlined the ability of both cities administrations to adapt their zoning practices to the need for climate changes mitigation and to foster resilience. Such approach is facilitated by the mixed-use zoning, which through density increase, is supposed to reduce pollution, soil, and resources consumptions, and facilitate sustainable mobility options. The fourth element resulted is the importance of the creation of a civic digital ecosystem.

 

The ZES Innovation Ecosystem
 
The ZES IEs analysis will focused on the Boston area (Boston, Cambridge) as exploratory case, moving forwards the MAPSLED project investigations, which provided insights on the innovation dynamics acting in urban areas and hints on the innovation-oriented policies in place.However, the analysis of governance models/structures and decision- making processes beyond these dynamics is missing.The analysis of the Boston Area IE provided a comprehensive picture of the phenomenon under investigation. The investigation addressed innovation-oriented policies centered on IEs and their assessment frameworks; the dynamic mapping of IEs assets; the assessment of IEs assets with respect the urban context and the elaboration of an IEs evaluation framework to create/empower local IEs

Keyfacts

13
Training Activities
4
Scientific Publications
13
Events attended
3
activities in synergy with other H2020 Projects

ZES Smart Open Data Dashboard

SODD - Smart Open Data Dashboard
The results of the mapping and assessing activity will constitute the basic information to build up the IEs assessment/evaluation framework and the Smart and Open Dashboard able to support policy-makers and community-based organization in deepening the knowledge of the context and trigger its potentials for the implementation of S3 at local level through place-based and tailored urban comprehensive policies. Following the work developed in the different WPs the logical framework for UIE prioritization of public choice for urban innovation ecosystem creation/development is built around four main blocks:The first refers to the detection of the main socio-economic context conditions. The second refers to the urban characterization of the innovation ecosystem, and specifically on the identification of the main resources/assets following the economic/networking/physical framework proposed by Katz (2014) and developed within this project by exploiting the cluster spatialization methodology. The third focuses on the detection of urban transition dynamics following the DUT approach rationale. The fourth focuses on the planning ang governance dimension.

The Boston Area

Cities of Boston and Cambridge (MA, USA)

Context Conditions

In order to understand the interactions between the UIE and the context it is extremely important to capture the socio-economic dynamics. At this purpose we selected a set of variables available as big and open data to capture context dynamics.

The urban characterization fo the Innovation Ecosystem

Mapping the Urban Innovation Ecosystem assets allows to identify the local resources’ potential to foster knowledge and innovation dynamics in cities. Following Mulas et al. (2016) the Boston Area Innovation Ecosystem assets have been mapped out according three categories: Economic Assets: starting from the spatialization of clusters a set of specific target areas have been identified. In the target areas result economic activities and urban transformation processes. Networking assets: in this category are grouped the so called “innovation spaces”, which includes incubators/accelerators and cowering spaces. Physical assets: start-ups concentration in the area

Mapping Urban Transition Dynamics

The pandemic has shown limits and vulnerabilities of the current development patterns. Persistent socio-economic inequalities and disparities, climate changes impacts, are just few of the challenges that cities are called to face. The response to such challenges lies in the facilitation of transition dynamics. Following the Driving Urban Transition (DUT) approach (JPI Urban Europe), urban transition dynamics have been detected in the area under investigation. The DUT points out 3 thematic areas for the transition of cities towards carbone neutrality: energy, sustainable mobility, and circularity. For each thematic area, open and publicly available data have been visualized to capture transition dynamics in UIE. .

Impact

Publications
  • Bevilacqua C., Pizzimenti P., Ou, Y. (2022). Exploring new perspectives for the resilient transition of the post-pandemic city: the case of the Boston and Cambridge urban innovation ecosystem (in preparation for submission to the Sustainability special issue on big data and cities https://www.mdpi.com/journal/sustainability/special_issues/upsdcgde)
  • Bevilacqua C., Pizzimenti P. (2022). Resilient and Transition strategies for the post-pandemic city: a multi-criteria analytical approach for the case of the Metropolitan City of Reggio Calabria. Conference proceeding of the New Metropolitan Perspective International Symposium. The contribution will be published in the open-access volume TREnD – Transition with Resilience for Evolutionay Development (in publication by Springer LNNS);
  • Bevilacqua, C., Pizzimenti, P., Hamdy, N., & Mangiulli, F. (2022). From Deinstitutionalization to Community-Based Urban Development: Investigating Accessibility of Urban Systems in Calabria through Network Analytics. Sustainability, 14(3), 1348 (https://www.mdpi.com/1466404)
  • Pizzimenti P. (2021). The green and digital transition of EU cities: urban innovation ecosystems and urban governance. Marie Curie Alumni Association annual Conference. (https://www.mariecuriealumni.eu/sites/default/files/2021-04/MCAA-Book-of-Abstracts-2021-v7.pdf)
Conferences
  • MSCA Falling Wall Lab organized under the German Presidency. Presentation of the ZES project (2020) https://www.msca2020.eu/msca-falling-walls-lab/ 
  • EU Researchers night – Superscience: presentation of the ZES project and participation to the EU Corner initiative on MSCA;
  • IMSDP Postgraduate Programe- International Module in Spatial Development Planning KU Leuven – discussant for the PhD students research seminars presentation (2021 and 2022)
  • MSCA Annual Conference (2021): presentation of the ZES project activities
  • International Symposium New Metropolitan Perspective 2022 – Focus sessions TREnD – co-chair of the session “Cities as Resilience Machines: Driving the Urban Transition”, 25-27 May, Reggio Calabria, Italy.

Documents

People

  • bevilacqua

    Carmelina Bevilacqua

    Project Coordinator
    Associate Professor - PDTA Department Università degli Studi Roma LaSapienza
  • IMG_0612

    Pasquale Pizzimenti

    Research Fellow (RTD-A)
    Marie Curie Post-Doctoral Fellow ZES Project
  • dyer-crop-u131839

    Alan W. Dyer

    Project Unit Coordinator
    Professor Emeritus - Department of Economics Northeastern University, Boston, MA (USA)

Partners

Beneficiary

PAU Department
Università degli Studi Mediterranea of
Reggio calabria, IT

Partner Organization

Department of Economics
Northeastern University of Boston, USA

ZES Project Brochure

ZES Poster

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.

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