AGU Launches Journal of Geophysical Research: Machine Learning and Computation

Annonce transmise par Raffaele Marino (LMFA)

JGR: Machine Learning and Computation is dedicated to research that explores data-driven and computational methodologies based on statistical analysis, machine learning, artificial intelligence and mathematical models, with the aim of advancing knowledge in the Earth and space sciences. In particular, this journal will accept papers proposing novel results in the broad fields of solar and space physics, geophysical fluids and planetary environments, Earth surface and interiors, and biogeosciences.

JGR: Machine Learning and Computation is the 12th of 24 AGU journals to be fully open access, filling a crucial gap for researchers utilizing machine learning or artificial intelligence in the Earth and space sciences.

AGU is currently seeking dynamic, well-organized scientists with high editorial standards to join the JGR: Machine Learning and Computation editorial board as editors and associate editors. Individuals interested in being considered should send a curriculum vitae with a letter of interest outlining qualifications for the position and interest in the journal to pubmatters@agu.org.