The research project “SEW Line – Socio-Ecological Way for a holistic mobility infrastructure planning in peri-urban and rural landscapes” (Thematic Area SH7_8 Land Use and Planning – Project Code: P20222ERKP) is carried out within the framework of the PRIN programme (Projects of Significant National Interest), PRIN 2022 PNRR, funded by the Italian Ministry of University and Research (MUR). The project is part of Mission 4 – Education and Research, Component C2, Investment 1.1, “Fund for the National Research Programme and Projects of Significant National Interest (PRIN)”, financed by the European Union – Next Generation EU.
The research team is composed of interdisciplinary groups from three Italian universities:
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University of Padua (UniPD) — Lead Institution
Department of Land, Environment, Agriculture and Forestry (TESAF): Catherine Dezio (Local Scientific Coordinator and PI); Davide Pettenella (until September 2024); Mauro Masiero; Dina Cattaneo (until September 2025); Silvia Marchesini (PhD candidate); Andrea Mestriner (Research Fellow, December 2024–February 2025).
Department of Civil, Environmental and Architectural Engineering (ICEA): Giovanni Giacomello (Acting PI, June 2024–December 2024); Emiliano Pasquini;
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University of Bergamo (UniBG)
Department of Engineering and Applied Sciences (DISA): Mario Paris (Local Scientific Coordinator); Fulvio Adobati; Monica Resmini; Edmondo Pietrangeli (Research Fellow).
Department of Foreign Languages, Literatures and Cultures (DLLCS): Alessandra Ghisalberti.
Department of Humanities, Philosophy and Communication (DLFC): Renato Ferlinghetti.
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Sapienza University of Rome (UniRoma1)
Department of Architecture and Design (DiAP): Benedetta Di Donato (Local Scientific Coordinator); Anna Lei (Local Scientific Coordinator, November 2023–May 2024); Luca Porqueddu (Local Scientific Coordinator, May–October 2024).
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Additional collaborators to the SEW Line project
Davide Vettore (PhD candidate, University of Bergamo – UniBG); Luigi Siviero and Rubina Canesi (University of Padua – UniPD).