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Sökning: WFRF:(Vignoli C) > (2020-2023)

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1.
  • Beck, S., et al. (författare)
  • Experimenting with Open Innovation in Science (OIS) practices: A novel approach to co-developing research proposals
  • 2021
  • Ingår i: CERN IdeaSquare Journal of Experimental Innovation. - 2413-9505. ; 5:2, s. 28-49
  • Tidskriftsartikel (refereegranskat)abstract
    • Co-producing scientific research with those who are affected by it is an emerging phenomenon in contemporary science. This article summarizes and reflects on both the process and outcome of a novel experiment to co-develop scientific research proposals in the field of Open Innovation in Science (OIS), wherein scholars engaged in the study of open and collaborative practices collaborated with the “users” of their research, i.e., scientists who apply such practices in their own research. The resulting co-developed research proposals focus on scientific collaboration, open data, and knowledge sharing and are available as an appendix to this article.
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2.
  • Zaru, Nicola, et al. (författare)
  • (Pseudo-)3D Inversion of Geophysical Electromagnetic Induction Data by Using an Arbitrary Prior and Constrained to Ancillary Information
  • 2023
  • Ingår i: Computational Science and Its Applications – ICCSA 2023 Workshops, Proceedings. - 1611-3349 .- 0302-9743. - 9783031371257 ; 14111 LNCS, s. 624-638
  • Konferensbidrag (refereegranskat)abstract
    • Electromagnetic induction (EMI) methods are often used to map rapidly large areas with minimal logistical efforts. However, they are limited by a small number of frequencies and by their severe ill-posedness. On the other hand, electrical resistivity tomography (ERT) results are generally considered more reliable, with no need for specific calibration procedures and easy 2D/3D inversion. Still, ERT surveys are definitely more time-consuming, and, ideally, an approach with the advantages of both EMI and ERT would be optimal. The present research addresses this issue by incorporating realistic constraints into EMI inversion, going beyond simplistic spatial constraints like smooth or sharp regularization terms, while taking into consideration the ancillary information already available about the investigated site. We demonstrate how additional pre-existing information, such as a reference model (i.e., an existing ERT section) can enhance the EMI inversion. The study verifies the results against observations from boreholes.
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