NIH requests public input on the potential use, value, and constraints of real-world data for NIH-supported research. Submit comments by December 14, 2023!
Learn about NIAID’s upcoming funding opportunity for a Center of Excellence for Systems Modeling that will foster community, coordinate research, and respond to emerging public health threats.
Search across millions of datasets to find infectious and immune-mediated disease data for reuse and reanalysis.
About Data Science at NIAID
Data science methods and technologies have significantly accelerated research on infectious- and immune-mediated diseases. NIAID aims to further advance data science by improving data access and use, applying computational methods, fostering an interdisciplinary research community, and implementing a policy framework that maximizes data sharing while protecting the privacy of patients and research participants.
Data Science is Accelerating Infectious and Immune-mediated Disease Research
- RFA-AI-23-038: Development of Software for Data Science in Infectious and Immune-Mediated Diseases Research (U01 Clinical Trial Not Allowed)
- RFA-AI-23-032: Bioinformatics Resource Centers (BRCs) for Infectious Diseases (U24 Clinical Trials Not Allowed)
- NOT-AI-23-009: Notice of Special Interest (NOSI)–Administrative Supplements to Prepare Data Assets for Infectious and Immune-mediated Diseases for Inclusion into the NIAID Data Ecosystem
Training Opportunities at NIAID and NIH
- NIAID Emerging Leaders in Data Science Fellowship: currently paused, open to recent advanced degree graduates
- Presidential Management Fellows Program: application cycles open in the fall, open to recent advanced degree graduates
- AAAS Science & Technology Policy Fellowships: applications due November 1, those with a doctoral-level science degree or a master’s in engineering are eligible
Office of Data Science and Emerging Technologies
The Office of Data Science and Emerging Technologies (ODSET) coordinates the development and implementation of NIAID’s data science strategy across the Intramural and Extramural Divisions. The overall goal of the office is to enable the efficient use of data and computational methods to better understand, treat, and ultimately prevent infectious, immunologic, and allergic diseases.