Data Science

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.

Featured Publications

This scanning electron microscope image shows SARS-CoV-2
Credit: NIAID

Data Science is Accelerating Infectious and Immune-mediated Disease Research

The Potential Epidemiologic, Clinical, and Economic Value of a Universal Coronavirus Vaccine: A Modelling Study
January 11, 2024

FAIR Skies Ahead for Biomedical Data Project Looking to Benefit Research Community
December 21, 2023

Upcoming Events


Defining the Need for Open Data Metrics

Wed, March 6, 2024, 11:00 a.m. - 12:00 p.m.

Funding Opportunities

  • 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
  • NOT-AI-21-011: Notice of Special Interest (NOSI)–Secondary Analysis of Existing Datasets for Advancing Immune-mediated and Infectious Disease Research
  • NOT-OD-23-165: Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science

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Training Opportunities at NIAID and NIH


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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.

Read more about ODSET

Connect With Us

Send any questions or feedback to the Office of Data Science and Emerging Technologies.

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See team members of the Office of Data Science and Emerging Technologies.

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