Digital twin prototypes now exist for assessing and aiding disaster response to geophysical hazards, such as volcanic eruptions, tsunamis, and earthquakes. We propose a systematic assessment framework to help determine the accuracy, transparency, reproducibility, and accountability of machine learning components within these emerging prototypes…
Source: Nature Reviews Earth & Environment | Springer Nature Limited
Nature Reviews Earth & Environment | Springer Nature Limited
- Determining soil microbial responses to climate change with multi-omics
- Wildlife cameras for monitoring forest understory phenology
- The Arctic carbon cycle response to changing root and rhizosphere processes amid greening and permafrost thaw
- Managing cropland edges as multifunctional interfaces for sustainable agriculture
- The riverine land-to-ocean carbon flux
- Environmental impacts, surveillance and mitigation of antimicrobial resistance
- Harnessing animal genomes to understand past East Antarctic Ice Sheet history
- Rethinking ocean alkalinity enhancement
Nature Podcast
(25)The Nature Podcast brings you the best stories from the world of science each week. We cover everything from astronomy to zoology, highlighting the most exciting research from each issue of the Nature journal. We meet the scientists behind the results and provide in-depth analysis from Nature’s journalists and editors…
