30Jul

Innovative approaches for scenarios and statistical analyses

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artificial intelligence, delphi, European Union, Generative Adversarial Networks, proceedings, publications, Real-Time Spatial DElphi, Scenarios, State of the Future, statistical modelling

Simone Di Zio, Co-Chair of Italy Node of The Millennium Project, in collaboration with other colleagues, recently published conference proceedings that explore innovative approaches for future scenarios and statistical analyses. The following publications showcase innovative research and methodologies aimed at advancing our understanding and modelling of future trends and scenarios. 1. 𝐒𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐚𝐥 𝐌𝐨𝐝𝐞𝐥𝐥𝐢𝐧𝐠 𝐨𝐟 𝐒𝐩𝐚𝐭𝐢𝐚𝐥 […]

15Jun

52nd Scientific Meeting of the Italian Statistical Society – June 17-20, 2024

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Generative Adversarial Networks, Italy Node, Real-Time Spatial DElphi, State of the Future, Statistical modeling

Simone Di Zio, Italy Node Co-Chair, will be joining the 52nd Scientific Meeting of the Italian Statistical Society at the University of Bari Aldo Moro in Italy from June 17 to June 20, 2024. The conference is focused on contributions related to statistical and demographic research, along with the associated methodological and applied fields. Di […]

10Nov

Delphi-based visual scenarios – new publication on Futures

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AI, artificial intelligence, delphi, futures, Generative Adversarial Networks, Italy Node, Scenarios, Visual scenarios

A new publication by Simone Di Zio, Italy Node Co-Chair, Yuri Calleo, and Mario Bolzan, Italy Node member, on “Delphi-based visual scenarios: An innovative use of generative adversarial networks” is now available on Futures, Vol. 154, December 2023, 103280 (https://doi.org/10.1016/j.futures.2023.103280). Abstract: In the Futures Studies context, the Delphi-based scenario (DBS) is a valuable method for […]