Small Data Science in Earth and Planetary Sciences
A special issue of Geosciences (ISSN 2076-3263). This special issue belongs to the section "Geophysics".
Deadline for manuscript submissions: closed (31 December 2020) | Viewed by 334
Special Issue Editor
Interests: waveform seismic filtering of geodynamical modeling; Earth and planetary seismology; theoretical seismology; numerical modeling; inverse problem; waveform inversion; deep Earth; Mars; geodynamics; exploration geophysics; time lapse structural changes
Special Issue Information
Geoscience is a scientific field that handles a vast volume of observed data acquired at and/or above the surface of the Earth and planets. Due to the exponential rate of increase in the amount of data coupled with intensive exploitation of geophysical observational stations both in and out, the key to success in geoscience seems to depend on the quantity of data and our capacity to handle it. Big data science has been at the vanguard of every domain of science, technology, and society over the last decade: geoscience has been no exception. There have been considerable efforts made to tackle fundamental questions with the aid of artificial intelligence, which has been applied not only to nonlinear inverse problems but also toward fast prediction of costly forward modeling. There is no doubt that we will benefit from this new big data technology. However, historically speaking, big discoveries in (geo)science have not always come from the amount of data but, rather, from the comprehensive though heuristic and intuitive exploration of small data. General opinion, for instance, is rather supportive of this idea and encourages our intuition to work, but this direction is not diametrically opposed to that of big data science: we are able to imagine integration of our heuristic approaches in machine learning algorithms in the near future. This Special Issue is mainly focused on two themes: i) efforts toward the maximum extraction of information for ill-posed underdetermined inverse problems in geoscience; ii) (justification and application of) heuristic approaches in geoscience. The deadline for submissions is December 31st 2020.
Dr. Nobuaki Fuji
Guest Editor
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