Survey data for the Strategic White Paper on AI Infrastructure for Particle, Nuclear, and Astroparticle Physics

This dataset contains anonymised survey responses collected to support the Strategic White Paper on AI Infrastructure for Particle, Nuclear, and Astroparticle Physics: Insights from JENA and EuCAIF. The survey was conducted among researchers from the ECFA, NuPECC, and APPEC communities to assess needs, challenges, and priorities for AI integration in fundamental physics. The dataset includes: An anonymised CSV file with raw survey responses All figure plots as presented in the white paper A Jupyter notebook (.ipynb) containing the code used to generate the plots For context and interpretation, see the associated publication: Strategic White Paper on AI Infrastructure for Particle, Nuclear, and Astroparticle Physics: Insights from JENA and EuCAIF (2025)Sascha Caron, Andreas Ipp, Gert Aarts, Gábor Bíró, Daniele Bonacorsi, Elena Cuoco, Caterina Doglioni, Tommaso Dorigo, Julián García Pardiñas, Stefano Giagu, Tobias Golling, Lukas Heinrich, Ik Siong Heng, Paula Gina Isar, Karolos Potamianos, Liliana Teodorescu, John Veitch, Pietro Vischia, Christoph WenigerarXiv:2503.14192 BibTeX: @article{Caron:2025rir, author = "Caron, Sascha and others", title = "{Strategic White Paper on AI Infrastructure for Particle, Nuclear, and Astroparticle Physics: Insights from JENA and EuCAIF}", eprint = "2503.14192", archivePrefix = "arXiv", primaryClass = "astro-ph.IM", month = "3", year = "2025" }