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The NIH solicits applications from foreign Institutions in African countries who wish to develop the study of genomic/genetic/environmental contributors of human health and disease within Africa to understand health and diseases affecting African populations.

Current Funding Opportunities

International Research in Infectious Diseases, including AIDS (R01)

https://grants.nih.gov/grants/guide/pa-files/PA-17-142.html

Application Due Date(s): May 22, 2017; May 22, 2018; May 22, 2019

The purpose of this Funding Opportunity Announcement (FOA) is to encourage the submission of applications from institutions in eligible foreign countries to conduct studies in infectious disease research. Collaborations with investigators in the United States (U.S.) are encouraged but not required. These grants will serve to build independent research capacity by providing direct funding to investigators who do not currently have NIH-funded grant or contract awards for research projects. The intent of these activities is to advance the development of local scientific expertise.

The National Institute of Allergy and Infectious Diseases (NIAID) has a long-standing interest in, and commitment to, global health and international research. Topics of interest for this program are limited to research on infectious diseases, including but not limited to: tuberculosis; malaria; influenza; HIV/AIDS; sexually transmitted diseases; diarrheal, respiratory, and enteric diseases; viral hemorrhagic fevers; viral encephalitides; other viral diseases, parasitic diseases; vectors and vector-borne diseases, emerging and/or re-emerging infectious (including but not limited to Zika virus and yellow fever), and development of drug resistance that are of public health significance within the applicant country. Development of basic, immunological, microbiological, biostatistical, epidemiological, data management, and clinical research capacity is encouraged.

Applicants are strongly encouraged to establish multi-institutional collaborations and to include activities that involve the transfer of technologies and research methods, sharing of core resources including the administration of research grant programs, and expansion of linkages to other sites via attendance at national and international meetings and other methods of communication.

Applicant organizations must be headquartered in foreign (non-U.S.) resource-constrained countries (i.e. low-income economies, lower-middle-income economies, and upper-middle-income economies by World Bank definition).

Systems Biology: The Next Generation for Infectious Diseases (U19)

http://grants.nih.gov/grants/guide/rfa-files/RFA-AI-16-080.html

Application due date: March 15, 2017, by 5:00 PM local time of applicant organization

Foreign institutions are eligible and foreign components are allowed

This Funding Opportunity Announcement (FOA) solicits applications to establish Systems Biology Centers that use systems biology approaches to build predictive models for infectious diseases.  These models will be derived from hypotheses related to systems-level host/pathogen molecular interactions during infection or treatment using integrated datasets generated from a combination of high-throughput experimental approaches, including omics technologies and computational approaches. Importantly, the Centers must clearly integrate experimental approaches and computational modeling to test and validate hypotheses of significance to the infectious diseases field.

Research Objective

The objective of this FOA is to establish a network of Systems Biology Centers focused on building predictive models of infectious diseases from hypothesis driven projects that perform large scale data generation, data analysis and integration with statistical inference modeling that will be used to discover predictive markers of disease, health and therapeutic treatment. This effort will also include support for the development of novel and/or enhanced bioinformatics, analytical, computational, and statistical tools. Centers will be expected to develop or improve innovative experimental methods, technologies, bioinformatics and computational tools, machine learning software, and statistical inference methods that can be used by the Centers and the broad infectious diseases community for systems level data analysis. 

The result of this program is expected to be: 1) integrated data sets, maps of molecular networks of host-pathogen interactions, and computational predictive models of infectious diseases; 2) new and enhanced computational algorithms, methods and tools; and 3) protocols for state-of-the-art HTP technologies.

Collaborative Interdisciplinary Teams

The scope of this work requires that interdisciplinary teams be formed that are capable of pursuing coordinated activities that bridge disparate scientific disciplines and expertise in microbiology, immunology, infectious diseases, microbiome, HTP experimental and omics technologies, together with experts in mathematics, physics, bioinformatics, computational biology, machine learning and statistical methods and modeling. Bringing multidisciplinary groups together creates opportunities for synergy that would rarely happen otherwise. The research teams within each Center may be composed of investigators located at one institution, or may be formed through a consortium of different institutions.

Examples of research areas of interest include, but are not limited to:

Determination of host/pathogen disease processes or molecular networks that are relevant to multiple (at least two) species/strains/genera; for example: the analysis and comparison of organisms that are known to share molecular pathways or similar disease initiation, progression or outcome patterns, networks across pathogenic and non-pathogenic species, or mutated strains with different degrees of pathogenicity, etc.

Determination of host/pathogen molecular networks and predictive models that may be used to discover biosignatures that may predict risk, severity and response to therapeutic intervention of an infectious disease.

Determination of molecular networks and predictive models that focus on genetic and epigenetic (e.g., miRNA-regulated) pathways, diversity and mechanisms in regulating host response to pathogen or therapeutic intervention.

Applications that propose to conduct research in the following areas will be considered non-responsive and will not be reviewed:

Studies that focus exclusively on the molecular interaction networks of the pathogen with no consideration of those in the host.

Studies that focus exclusively on the identification of molecular networks and signatures of the host immune response with no consideration of those in the pathogen.

Studies that only generate or use only genomics and transcriptomics data sets to build molecular networks and predictive models.

Studies proposing only sequencing of pathogen and related isolates obtained from human clinical samples.

Studies that propose only the use of immortalized cell cultures, and do not include human clinical samples.

Studies that propose samples from animal models in the absence of using material from human clinical samples (i.e. human cells or tissues, human blood, immune components, bacterial isolates).

Studies that solely focus on development of computational and software tools for “big-data” integration of multiple data types generated by experimental technologies, including, for example, data analysis and machine learning algorithms.

Studies/applications that propose clinical trials.

Studies on HIV/AIDS.

Past H3Africa Funding Opportunity Announcements (FOAs) and NIH Funding Guidance

OPPORTUNITES FROM THE FOGARTY INTERNATIONAL CENTER

The Fogarty International Center at NIH offers a variety of funding opportunities to support the field of global health research. Fogarty also offers a variety of resources for those seeking global health research funding across NIH, and from other organizations. You can visit their website here. 

The Fogarty International Center webpage http://www.fic.nih.gov/Funding/Pages/default.aspx contains links to international funding opportunities in the following categories:

  • Fogarty Funding Opportunities
  • Funding News Email Updates
  • Trans-NIH Programs and Collaborations
  •  Other NIH Funding Opportunities
  • Non-NIH Funding Opportunities
  • Predoctoral/Graduate
  • Postdoctoral
  • Faculty
  • Health Professionals
  • Institutions
  • Travel

 You can also subscribe to receive regular Fogarty Funding Opportunities email notifications for newly announced grants in all these categories at https://public.govdelivery.com/accounts/USNIHFIC/subscriber/new.

Additional Links:

 

 Click here for further guidance on the application process.