Call for Abstracts – Special Session promossa da SIEV
Deadline per l’invio degli abstract: 3 agosto 2025
L’Istituto per le Energie Rinnovabili di Eurac Research organizza la 5ª edizione della conferenza SSPCR, che si terrà a Bolzano, dal 9 al 12 dicembre 2025, nel suo suggestivo periodo natalizio.
SSPCR 2025 accoglie contributi da diverse discipline, articolati in 7 Thematic Tracks – tra cui Economics and Valuation of the Urban Energy Transition – e numerose Special Sessions.
SIEV promuove la Special Session “Innovations in Decision-Support and AI-driven Valuation for Urban Energy Transition”, a cura di Alessandra Oppio (Politecnico di Milano), Marta Bottero (Politecnico di Torino), Adriano Bisello (Eurac Research), Eugenio Muccio (Eurac Research).
Questa sessione esplorerà come gli strumenti di supporto alle decisioni, anche integrati con applicazioni basate su intelligenza artificiale, possano migliorare i processi di valutazione multidimensionale delle trasformazioni urbane e territoriali.
Soci/e SIEV, ricercatori/ricercatrici e professionisti/e sono invitati a presentare un abstract per:
una presentazione orale o un poster digitale
per raccontare le proprie ricerche o progetti innovativi.
Per maggiori informazioni sulla conferenza e per inviare il tuo abstract:
https://sspcr.eurac.edu/en
Per dettagli sulla Special Session promossa da SIEV: https://sspcr.eurac.edu/en/talk/f6ekdQjITH6514L35V1D0g
Date importanti:
- Scadenza per l’invio degli abstract: 3 agosto 2025
- Apertura Early Bird Registration: 1 settembre 2025
- Chiusura Early Bird Registration: 5 ottobre 2025
- Pre-Conference Event: 9 dicembre 2025
- Conferenza: 10–12 dicembre 2025
Per contatti: Eugenio Muccio, eugenio.muccio@eurac.edu
Abstract
Achieving a just energy transition in cities requires decision-making processes that are evidence-based and optimized, capable of addressing environmental, economic, and social dimensions. This special session invites contributions that explore how decision-support tools, also backed by AI-driven applications, can enhance the multidimensional evaluation of urban and territorial transformations. AI plays an increasingly pivotal role by enabling the identification of spatial patterns, predictive modeling, and the comparison of alternative scenarios, helping to navigate the complexity and assess the multiple benefits and impacts at different scales.
The session focuses on evaluation methodologies that support (energy) transition strategies at urban and regional scales, including their impacts on property values, mass appraisal techniques, machine learning applications, spatial data analysis, and participatory decision-making frameworks. Particular emphasis is placed on data-driven approaches that integrate geographic information systems (GIS), multi-criteria decision analysis (MCDA), and advanced spatial analytics to model urban dynamics, assess intervention scenarios, and align decisions with sustainability and equity goals.
We welcome contributions presenting methodological innovations, case studies, and critical reflections on such evaluation practices. The session aims to advance decision-support tools and evaluation frameworks that bridge technical potential with societal needs, empowering decision-makers to design and prioritize interventions that foster energy-efficient, resilient, and inclusive cities.
The topics of interest include, but are not limited to:
- Decision-support systems and data-driven approaches
- Impacts of energy transition on property values and real estate dynamics
- AI, GIS, and advanced spatial analytics for urban and regional planning
- Machine learning, mass appraisal, and predictive modeling techniques
- Multi-criteria and multi-stakeholder evaluation methods and scenario analysis
- Financial and economic analyses for transition strategies
- Methodological innovations bridging technical potential and societal needs
Organizers:
Alessandra Oppio | Politecnico di Milano – SIEV President
Marta Bottero | Politecnico di Torino
Adriano Bisello | Eurac Research – Institute for Renewable Energy
Eugenio Muccio | Eurac Research – Institute for Renewable Energy
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