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