Selected Portfolio of Funded Data Science Projects

The list of selected data science projects is organized by funding division within NIAID:

Division of AIDS (DAIDS)
Division of Allergy, Immunology, and Transplantation (DAIT)
Division of Extramural Activities (DEA)
Division of Microbiology and Infectious Diseases (DMID)

Division of AIDS

Big Data analytics of HIV treatment gaps in South Carolina - Identification and prediction

Biomedical Computing and Informatics Strategies for Infectious Disease Research

Central Africa International Epidemiologic Database to Evaluate AIDS

Combined phylogenetic and epidemiological analysis to identify HIV transmission sources in Seattle WA

Cost-Effectiveness of Preventing HIV Complications

Deconstructing HIV Disparities - Multistate Study of Data, Outcomes and Mediators

Dynamic Strategies for the clinical management of HIV disease

EpiModel 2.0 - Integrated Network Models for HIV/STI Prevention Science

Evaluating Portfolio Interventions for HIV Incidence Reduction in the United States: Development of a Novel Agent-Based Decision-Analytic Model for Dynamic Evaluations of Interventions

Harmonist - A Scalable Toolkit for Standardizing and Coordinating Data Sharing Across International Research Networks

HIV Drug Resistance Database

Leveraging Big Data to understand and improve continuity of care among HIV-positive jail inmates

Leveraging public health genotyping databases for near real-time HIV surveillance

Methods for Complex Longitudinal Data in HIV/AIDS Prevention Research

Methods to Advance the HIV Prevention Research Agenda

Mining real-time social media big data to monitor HIV - Development and Ethical Issues

Optimal Strategies for HIV Treatment and Prevention in Sub-Saharan Africa

Optimizing HIV Care in Less Developed Countries

Pharmacogenomics of HIV Therapy

Statistical Issues in AIDS Research

Statistical methods for correlated outcome and covariate errors in studies of HIV/AIDS

Statistical methods for HIV-1 immune correlates studies

Statistical Methods for ODE Models in AIDS Research

Statistical Methods for Ordinal Variables in HIV/AIDS Studies

Statistical Models for Estimating and Projecting HIV/AIDS Epidemics

Tuning big data analysis infrastructure for HIV research

Using agent-based modeling to estimate the effectiveness of the Miami Getting to Zero HIV campaign

Division of Allergy, Immunology, and Transplantation

Extension of clinical data structured into the ImmPort model and cross-study data exploration and visualization user interface

Integrated Exchange and Storage of Current- and Future-Generation Immunogenomic Data

Integrating SWIFT tools to enhance flow data analysis, exploration and visualization in ImmPort

Ontology-supported Integrative Analysis and Visualization of Vaccine-induced Pathways and Networks

Prenatal, Intrapartum and Infant Antibiotic Use and Atopic Diseases in Childhood

Reproducible Analytics for Secondary Analyses of ImmPort Vaccination-Related Cytometry Data

Semantic Integration of ImmPort and the Linked Data Cloud for Systems Vaccinology

Division of Extramural Activities

Quantitative Methods for HIV/AIDS Research

Division of Microbiology and Infectious Diseases

An Integrated System for the Epidemiological Application of Earth Observation Technologies

Causal Inference in Infectious Disease Prevention Studies

Continued Development and Maintenance of the MG-RAST Metagenomics Pipeline

Developing Advanced Algorithms to Address Major Computational Challenges in Current Microbiome Research

Development of clinical decision tools for management of diarrhea of children in high and low resource settings

Dynamic learning for post-vaccine event prediction using temporal information in VAERS

Epidemiology of Infectious Diseases

Forecasting influenza epidemics using a mechanistic epidemic model

Inferring Shifts in Susceptibility and Cross Protection to Influenza from (Sub)typed Incidence Data

Integrative Omics of HepB Vaccine Response in Co-Infection with Parasites

Model-guided assessment of rotavirus vaccine impact in developing countries

Network modeling and robust estimation of the intraclass correlation coefficient to inform the design and analysis of cluster randomized trials for infectious diseases

Reasoning with chemically induced dynamic phenotypes in whole-organism assays

Regression, Phylogenetics, and Study Design in Infectious Disease Epidemiology

Spatio-temporal data integration methods for infectious disease surveillance

Subtractive assembly approaches for inferring disease-associated microbial genes and pathways from microbiome sequencing data

Tracking Evolution and Spread of Viral Genomes by Geospatial Observation Error

Uncovering the Mechanisms Driving Seasonal Polio Incidence - A Modeling Approach Towards Endgame Strategies

Content last reviewed on October 4, 2021