alessandra barresi

Prof. alessandra barresi


Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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30 May 2023 in TECHNE - Journal of Technology for Architecture and Environment
Verified
Journal Article
Open access
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ABalessandra barresi
alessandra barresi
Cities nowadays need to have long-term visions and perspectives to achieve the ambitious targets for which vast investments are being made. They need to act with competence and capability-based planning, and to come up with suitable solutions. Technology is unquestionably a factor of crucial importance when aiming for these targets. Digital innovation, based on data knowledge, analysis and projection, is crucial to tackle the most demanding challenges of our times. The methodological approach proposed here is an Urban Digital Twin applied to cities as a predictive model to obtain a projection of their development in terms of sustainability.

1 September 2020
Verified
Book Chapter
Closed access
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ABalessandra barresi
alessandra barresi
GPGabriella Pultrone
Gabriella Pultrone

7 November 2025 in TECHNE - Journal of Technology for Architecture and Environment
Verified
Journal Article
Open access
PDF file
Francesca MoraciFrancesca Moraci
Francesca Moraci
ABalessandra barresi
alessandra barresi
FTFrancesco Trimboli
Francesco Trimboli
PBPietro Bova
Pietro Bova
The research addresses the difficulty of integrating ecosystem assessment into urban planning to respond to territorial vulnerabilities (Caldarice and Salata, 2019). Tech4You’s Pilot Project 4.6.1, on Reggio Calabria (Italy), develops a multidisciplinary approach that combines ecosystem assessment, digital twin and artificial intelligence for the creation of Climate Adaptation Plans (PACC). The critical testing of the “InVEST” model for calculating the “Carbon Storage and Sequestration” ecosystem service highlighted the limitations of current evaluation tools and the need for a more advanced platform. Hence, the P.P. 4.6.1 is developing a Platform that integrates predictive models and a Climate Intelligence Chamber in the prototype phase.