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Delphi-based visual scenarios

An innovative use of generative adversarial networks

Datos Bibliográficos

ID9846229
AutoresSimone Di Zio (0000-0002-9139-1451, University of Chieti-Pescara, autor de correspondencia), Yuri Calleo (0000-0002-0190-6061, University College Dublin), Mario Bolzan (0000-0002-0815-2020, University of Padua)
Año2023
Volumen154
Páginas103280
Fecha de publicación2023-12-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaFutures (JOURNAL)
Identificadores de la revistaISSN: 0016-3287 • E-ISSN: 1873-6378
EditorialElsevier BV (PUBLISHER)
DOI10.1016/j.futures.2023.103280
OpenAlexW4388383262
IdiomaEN
Citas recibidas3
Referencias citadas46

In the Futures Studies context, the Delphi-based scenario (DBS) is a valuable method for setting future-oriented strategies and actions by gathering expert opinions in multiple iterative rounds, in order to make better decisions in the present. However, one of the main challenges is to find a suitable representation of the scenarios both for evaluation and decision-making. The development of future scenarios requires high creativity and simple textual descriptions could not be enough to grab the attention of the experts and decision-makers, due to a probable lack of communication and/or technical language. Since the textual descriptions concern the future, the human mind may have difficulty imagining events that have not already happened. With the spread of AI models, different implementations can support the DBS process, such as the use of Generative Adversarial Networks (GANs) to generate specific images starting from the narratives of the scenarios. In this paper, we propose a new method for the development of Delphi-based Visual Scenarios (DBVS) adopting GANs, with the aim to support the experts and decision-makers in planning and communication, in order to have immediate images of what the future could be like. We apply this method with regard to the future of Italian families

Adversarial system · Context (archaeology · Data science · Delphi · Delphi method · Futures contract · Generative grammar · Implementation · Management science · Narrative · Process (computing · Process management · Scenario planning · Software engineering · Artificial Intelligence · Computer Science · Delphi Technique in Research

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    Open Access•Simone Di Zio, Yuri Calleo et al.•Socio-Economic Planning Sciences•2026

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Obras citantes distintas3
Citas por año1,5
Intervalo de citas2024 - 2026 (3)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 3
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