MicroSOS project aims to enable exchange and mobility between academic and non-academic partners from the agricultural and environmental sectors. All the participants in MicroSOS have a connection to soils and agriculture, which are under stress due to Climate Change impacts while being drivers of Climate Change as well due to the dynamics of the plant microbiome and its relationship to nutrient cycling and GHG emissions. Unlocking the power of the microbiome in agriculture will drive novel approaches for better management and improvements in the sector, making a true connection between fundamental research and applicable developments with societal relevance. The objectives of the MicroSOS project are: 1. To transfer skills, knowledge, and competencies between institutions focused on agricultural topics. 2. to enhance the career prospects of early career researchers by engaging them in multidisciplinary exchanges on plant microbiome and agriculture. 3. To create sustainable collaborations between European and Southeast Asian institutions by converting knowledge and exchange into more ideas for new projects. 4. To create a platform for communicating science to non-academic partners and the general public to ensure the relevance of science in crop management and agricultural development, including the sector's needs in fundamental science. To achieve these objectives, nonacademic firms experts in agricultural interventions and applications will exchange knowledge with academic institutions with expertise in fundamental aspects of the microbiome of the plant and soils. This combination creates an ideal network to enable the co-development and co-creation of knowledge during the staff exchanges that can yield successes in broadening the career prospects of a balanced team of young researchers from Europe and other underrepresented origins by having exposure to this network.

Massive increases in analytical throughput together with reductions in costs have enabled multi-omics studies to be routinely performed at a scale not previously imagined. Two main barriers hamper our ability to reveal the mechanism behind a specific genotype-phenotype link: the cross-talk between multiple molecular layers cannot be properly assessed by a reductionist approach that analyses each omics layer in isolation; and the ever-growing amount of buried information in scientific literature and public omics datasets cannot be extracted without intelligent computational approaches. GLOMICAVE project addresses the need for building systems that allow streamlining both the experimental design and the analysis and integration at a systems level of large-scale omics experiments by maximizing the utility of pre-existing massive omics datasets and scientific literature to increase the understanding of biological systems as a whole. The main outcome will be a multi-omics data analysis cloud-based platform, relying on Big Data Analytics and Artificial Intelligence techniques – and using large-scale publicly available and experimental omics datasets, enhanced with an automatic processing of scientific literature, to assist experts and non-experts in identifying and understanding new links between genotype and phenotype which apply to different domains. GLOMICAVE integrative approach will be validated in 3 different industrial sectors (livestock, agro-biotechnology and environment) addressing specific challenges in 6 business cases, which will pave the way for further uptake in other business areas. The success of GLOMICAVE builds upon the expertise of a multidisciplinary team of 14 partners with expertise in omics sciences; standardization; bioinformatics; environmental assessment; mathematical modelling; AI and BDA; plant and animal physiology; food quality, microbiology; bioengineering as well as ethical, legal and social aspects.