Awarded Data Science Projects

NIAID has awarded multiple projects for data science research, training, and technology development. Awarded projects from across NIAID will be added on an ongoing basis. The list is coordinated by the Office of Data Science and Emerging Technologies (ODSET). 

Software, Methods, and Technology Development

Early-Stage Development of Data Science Technologies for Infectious and Immune-mediated Diseases (U01 - Clinical Trial Not Allowed; RFA-AI-21-020)

Exploratory Data Science Methods and Algorithm Development in Infectious and Immune-mediated Diseases (R21 - Clinical Trial Not Allowed; RFA-AI-21-035)

  • Computational framework for analyzing and annotating single bacterium RNA-Seq data (1R21AI169350-01)
  • Coupling Machine Learning with Agent-Based Modeling to Design a Universal Influenza Vaccine (1R21AI169364-01)
  • Mechanism-guided drug repurposing for host-directed therapy of infectious diseases using interpretable and integrative ML (1R21AI169301-01)
  • Real-Time High Resolution Method for Genomic Surveillance of ESKAPE pathogens (1R21AI169138-01)
  • Computer Vision for Malaria Microscopy: Automated Detection and Classification of Plasmodium for Basic Science and Pre-Clinical Applications (1R21AI169363-01A1, 5R21AI169363-02)
  • Informatics Approach to Identification and Deep Phenotyping of PASC Cases (5R21AI169139-02, 1R21AI169139-01A1)
  • Serocalculator: Estimating Incidence Rates from Serological Data (1R21AI176416-01, 5R21AI176416-02)
  • Tensor decomposition methods for multi-omics immunology data analysis (5R21AI176204-02, 1R21AI176204-01)
  • Where there is no death certificate: Using artificial intelligence to detect high-casualty epidemics from satellite imagery of burial sites (5R21AI169362-02, 1R21AI169362-01A1)

Administrative Supplements to Prepare Data Assets for Infectious and Immune-mediated Diseases for Inclusion into the NIAID Data Ecosystem (NOT-AI-23-009)

Development of Software for Data Science in Infectious and Immune-Mediated Diseases Research (U01 - Clinical Trial Not Allowed; RFA-AI-23-038)

  • Data and analysis ecosystem for eukaryotic pathogen targeted sequencing (1U01AI184646-01)
  • Methods and tools to integrate multi-omics datasets to understand preclinical autoimmune and immune-mediated diseases (1U01AI185638-01)
  • Large-scale integrated data analysis of lymphocyte receptor repertoires with workflows (1U01AI184647-01) 

Harnessing Big Data to Halt HIV (PA 15-273, PAR 18-764, NOT 21-054)

Administrative Supplements to Prepare Data Assets for Infectious and Immune-mediated Diseases for Inclusion into the NIAID Data Ecosystem
  • Mining Social Media Messages for HIV Testing and Prevention Communication (R01MH114847)
  • Combined phylogenetic and epidemiological analysis to identify HIV transmission sources in Seattle WA (R01AI127232)
  • Big Data Analysis of HIV Risk and Epidemiology in Sub-Saharan Africa (R01AI127250)
  • Big Data analytics of HIV treatment gaps in South Carolina: Identification and prediction (R01AI127203)
  • Tuning big data analysis infrastructure for HIV research (R01AI134384)
  • Leveraging Big Data to understand and improve continuity of care among HIV-positive jail inmates (R01AI129731)
  • Mining real-time social media big data to monitor HIV: Development and Ethical Issues (R01AI132030)
  • Data Science for Decision Support in the HIV Care Cascade (R01AI167694)
  • STI Response and Recommendations Under PrEP (STIRRUP) (R01MH128130)
  • Quantification of HIV burden and the biomedical, structural, and behavioral factors influencing HIV/AIDS among children and young adolescents (R01AI152721)
  • The impact of social determinants, conditional cash transfers and primary health care on HIV/AIDS: an integrated retrospective and forecasting approach based on a cohort of 100 million Brazilians (R01AI152938)
  • Patterns and predictors of viral suppression: A Big Data approach (R01AI164947)
  • Leveraging Big Data Science to Focus the HIV Response in Countries with Generalized HIV Epidemics (R01AI170249)
  • Rapid Tests for Recent Infection (RTRI) for Precision Public Health in Sub-Saharan Africa: Next-Generation Strategies Amid Changing HIV Epidemiology (R01AI174932)
  • Understand and mitigating the influence of extreme weather events on HIV outcomes: A global investigation (R01AI179420)
  • Harnessing big data to arrest the HIV/HCV/opioid syndemic in the rural and urban South (R01DA057129)
  • Developing causal inference methods to evaluate and leverage spillover effects through social Interactions for designing improved HIV prevention interventions (R01MH134715)
  • Understand and mitigating the influence of extreme weather events on HIV outcomes: A global investigation (R01AI179420)
  • A secure analytics platform to study the prognosis of people with HIV in the USA, Canada and Europe and comparative effectiveness of treatment regimens: the Antiretroviral Therapy Cohort Collaboration (R01AI181733)

National Science Foundation - National Institutes of Health NSF-NIH Interagency Initiative: Smart and Connected Health (NOT-OD-18-149)

Secondary Use of Existing Data

Secondary Analysis of Existing Datasets for Advancing Infectious Disease Research (R21 - Clinical Trial Not Allowed; PA-19-068)

Biomedical Repositories and Knowledgebases

Biomedical Data Repository (U24 - Clinical Trials Not Allowed; PAR-20-089, PAR-23-079, NOT-AI-20-044)

Biomedical Knowledgebase - (U24 - Clinical Trials Not Allowed; PAR-20-097, NOT-AI-20-044)

Training and Education

Summer Institute for Research Education in Biostatistics and Data Science (R25 - Clinical Trial Not Allowed; RFA-HL-22-009)

  • BU Summer Institute for Research Education in Biostatistics and Data Science (1R25AI166897-01)
  • Irvine Summer Institute in Biostatistics and Data Science (1R25AI170491-01)

Training Modules to Enhance the Rigor, Reproducibility and Responsible Conduct of Biomedical Data Science Research (R25 – Clinical Trial Not Allowed; RFA-GM-20-001)

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