A growing body of evidence has emerged in the last decade supporting the major role the human microbiota plays in health and disease. To encourage the development of this promising field, Nature Research and Yakult have launched a new, multi-year competitive grant programme for research into the human microbiota.
The Global Grants for Gut Health will consider proposals for research projects - whether laboratory investigations or clinical studies - that advance understanding of the impact of the gut microbiota on human health.
Applications for the first round of funding will open in August 2018. Funding is available to researchers from across the world. Three awards of up to US$100,000 per funding cycle will be made. Research projects will run for one year.
Applicants shall be employed by a university, research institute or any other not-for-profit organisation. Applicants must hold a professional or research degree (e.g. PhD, MD, PharmD) and have at least 5 years' postdoctoral research experience.
Applications can relate to: the structure, function and diversity of the human microbiome; the gut-associated immune system and the microbiota's immunomodulatory capacity; the role of the gut microbiota and nutrition in inflammatory and metabolic diseases, such as obesity, inflammatory bowel disease and irritable bowel syndrome; and the role of the microbiota in the gut-brain axis the modulation of the gut microbiota.
Applications will be assessed by an independent panel of internationally renowned researchers in human microbiota, recommended by Nature Research editors based on their knowledge and experience in this research field. The expert panel will assess proposals based on criteria including originality, importance, scientific quality, value for money and quality of the applicant or team.
Nature Research and Yakult will have no influence over the decision-making.
Brought to you by Scope e-Knowledge Center, a trusted global partner for digital content transformation solutions - Abstracting & Indexing (A&I), Knowledge Modeling (Taxonomies, Thesauri and Ontologies), and Metadata Enrichment & Entity Extraction.
