The institute aims to integrate microbiome concepts with emerging big data technologies in bioinformatics, using AI and data analytics to uncover relationships that can lead to sustainable solutions. Additionally, spatio-temporal mapping of microbiome data can be used as indicators of health and climate resilience, facilitating predictive analytics. Research and development with an accumulative-transformative approach could lead to the creation of microbiome databases to facilitate further research, foster entrepreneurship and promote social outreach. This can enhance our understanding of microbial interactions and developing health maintenance strategies or products for humans, animals, plants and aquatic environments, including customized products. Another active area of microbiome research is integrating data from multi-omic approaches, including metagenomics, metatranscriptomics, metaproteomics, and metametabolomics, to address mechanistic gaps. AI enables the in-depth analysis of data generated in microbiome studies and build predictive models based on microbial community data.