NIH – Harnessing Big Data to Halt HIV (R01 Clinical Trial Optional)

April 30, 2018 by School of Medicine Webmaster

This initiative is intended to promote collaborations among investigators with expertise in epidemiology, bioinformatics, mathematical modeling, statistics, social and behavioral sciences, HIV prevention and care, and bioethics, among others, to address both of the following objectives:

  • Improve our understanding of HIV risk, health seeking behaviors, and the complex contextual environment in which they occur.
  • Develop and advance the ethical framework to evaluate Big Data methods in the constantly changing environment of available digital data. Projects should explore and address relevant ethical challenges in conducting big data research including privacy concerns, questions regarding access to specific types of data, communication among users of data and the research community.
Specific Areas of Interest

The intent of this announcement is to support innovative methods in Big Data Science to identify gaps in rare, unseen, and otherwise undiscovered biomedical, behavioral, social patterns and other social determinants that shed light on HIV acquisition, transmission, the development of comorbidities, and long-term viral control as in the HIV treatment continuum.

Specific areas of research interest include but are not limited to:

  • Using heterogeneous data types and sources to explore, identify, classify, and characterize social, behavioral, and contextual life courses of events and decisions that put individual people at risk for HIV acquisition;
  • Simulation modeling to explore patterns of social networks, risk, and health seeking behaviors, in space and time in the context of HIV infection research;
  • Explore machine learning to process and visualize data, learn patterns iteratively, and predict the unknown based on what is known about HIV infection and the context in which it occurs;
  • Differentiation of gender and ethnic/racial behaviors, sexual preference, geographic as well as economic factors to explain disparities in HIV disease acquisition, retention in care, and long-term outcomes, including comorbidities;
  • Insight into HIV test-seeking behaviors using the linkage, modelling, and iterative processing of social media, pharmaceutical or commercial data, or sources of de-identified laboratory test results;
  • Using viral phylogenetics and data characterizing human phenotypes to define HIV transmission networks that can inform the development of approaches to disrupt them;
  • Analyzing ethical, legal, and policy issues raised by BDS in HIV research and developing appropriate working guidance documents or policy frameworks to guide research;
  • Studies that use BDS and/or existing big data sources to gain insights on HIV-associated malignancies, including but not limited to insights on their epidemiology, pathogenesis, screening, and optimal treatment.

The areas below will NOT be supported through this FOA:

  • Establishment of new cohorts requiring primary data collection;
  • Clinical trials requiring an Investigational New Drug (IND) or Investigational Device Exemption (IDE) application or assessing the safety of the intervention;
  • Clinical trial planning activities for protocol development.

Deadlines:  standard AIDS dates apply

URL:  https://grants.nih.gov/grants/guide/pa-files/PAR-18-764.html

Filed Under: Funding Opportunities