51958.pdf

The place-based approach is at the forefront of the current European cohesion policy reform. The Smart Specialisation Strategy (S3) boosts economic development through research and innovation. It is built on place-based areas showing higher potential for growth. Although S3 is deeply rooted in the u...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Γλώσσα:English
Έκδοση: InTechOpen 2021
id oapen-20.500.12657-49176
record_format dspace
spelling oapen-20.500.12657-491762021-11-23T14:02:34Z Chapter Smart Specialisation Strategies as Drivers for (Smart) Sustainable Urban Development Trillo, Claudia smart specialisation strategies (S3), sustainable urban development, innovation districts, social innovation, Kendall Square, MAPS-LED, urban pattern as cognitive infrastructure bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences::PSA Life sciences: general issues::PSAF Ecological science, the Biosphere The place-based approach is at the forefront of the current European cohesion policy reform. The Smart Specialisation Strategy (S3) boosts economic development through research and innovation. It is built on place-based areas showing higher potential for growth. Although S3 is deeply rooted in the uniqueness of the place, its implementation is still far from being clearly spatial-led. The research programme MAPS-LED (Multidisciplinary Approach to Plan Smart specialisation strategies for Local Economic Development), financed by RISE-Horizon 2020, aims at filling this gap. This chapter discusses a novel concept developed with the aim to incorporate a spatial component in the innovative urban clusters, e.g. the urban pattern as cognitive infrastructure for S3. The preliminary findings from the case study of Kendall Square, a former brownfield located in Cambridge (MA), in close proximity with the Massachusetts Institute of Technology, led to conclude that it is essential to complement S3 implementation with spatial interventions in the built environment to create a physical ecosystem supportive of innovation, including: shared facilities and private small businesses facilitating interaction; public services and facilities that allow preserving uniqueness of the place and inclusiveness. Furthermore, the spatial pattern has to be supportive of a walkable and dense environment. 2021-06-02T10:08:27Z 2021-06-02T10:08:27Z 2016 chapter ONIX_20210602_10.5772/64598_290 https://library.oapen.org/handle/20.500.12657/49176 eng application/pdf n/a 51958.pdf InTechOpen 10.5772/64598 10.5772/64598 09f6769d-48ed-467d-b150-4cf2680656a1 H2020-MSCA-RISE-2014 645651 open access
institution OAPEN
collection DSpace
language English
description The place-based approach is at the forefront of the current European cohesion policy reform. The Smart Specialisation Strategy (S3) boosts economic development through research and innovation. It is built on place-based areas showing higher potential for growth. Although S3 is deeply rooted in the uniqueness of the place, its implementation is still far from being clearly spatial-led. The research programme MAPS-LED (Multidisciplinary Approach to Plan Smart specialisation strategies for Local Economic Development), financed by RISE-Horizon 2020, aims at filling this gap. This chapter discusses a novel concept developed with the aim to incorporate a spatial component in the innovative urban clusters, e.g. the urban pattern as cognitive infrastructure for S3. The preliminary findings from the case study of Kendall Square, a former brownfield located in Cambridge (MA), in close proximity with the Massachusetts Institute of Technology, led to conclude that it is essential to complement S3 implementation with spatial interventions in the built environment to create a physical ecosystem supportive of innovation, including: shared facilities and private small businesses facilitating interaction; public services and facilities that allow preserving uniqueness of the place and inclusiveness. Furthermore, the spatial pattern has to be supportive of a walkable and dense environment.
title 51958.pdf
spellingShingle 51958.pdf
title_short 51958.pdf
title_full 51958.pdf
title_fullStr 51958.pdf
title_full_unstemmed 51958.pdf
title_sort 51958.pdf
publisher InTechOpen
publishDate 2021
_version_ 1771297402817347584