The objective of this focus area is to help advance data sharing, acquisition, integration, analysis and resulting insights in the pursuit of improved public health and health outcomes. This includes:
1. Enabling data sharing, acquisition and integration to develop knowledge and insight in the pursuit of improved health outcomes, including alternative health data sources such as environmental factors, social media and mobile health
2. Supporting the development and deployment of advanced analytics, including causal discovery and reasoning, artificial intelligence, and machine learning in biomedicine
3. Enabling data science collaborations in the support of precision medicine, including advanced decision support leveraging data to deliver customized and personalized knowledge, insight and recommendations
Current Projects on Health
Upcoming Health Events
Health Professional Opportunities
Accepting rolling applications
Accelerating the Pace of Child Health Research Using Existing Data from the Adolescent Brain Cognitive Development (ABCD) Study (R01-Clinical Trial Not Allowed)
Applications accepted on a rolling basis through February 5, 2025.
Applications accepted on a rolling basis through November 2026.
Applications due January 25, 2023
Applications accepted through July 16, 2023
Applications due December 1st
Applications due December 5th
Notice of Special Interest (NOSI): Neurological and Neurocognitive Sequelae from SARS-CoV-2 Infection and COVID-19 in Aging and Age-Related Neurodegeneration
Applications accepted through May 8, 2023
Applications accepted through June 2, 2023
Programmatic Interventions to Increase Uptake of Influenza and COVID-19 Vaccination Among Students Attending Institutions of Higher Education
Applications due January 5, 2023.
Applications due February 2nd.
Applications due March 8, 2023.
Applications due January 13th
Health Career Opportunities
Connected Healthcare Integrated Systems Design Workshop Results, IEEE and NEBDHub
COVID Information Commons: Unlocking COVID-19 Insights with Data Science, developed with help from NEBD Hub student volunteer, Aryan Naik
Democratizing Artificial Intelligence: Bringing Automated Machine Learning Technologies to Basic, Translational, and Clinical Cancer Researchers, Association of American Cancer Institutes
Federal Office of Rural Health Policy (FORHP) Data Files, Health Resources and Services Administration
Finding Statistics and Data Related to Rural Health, Rural Health Information Hub
Research & Training Center on Disability in Rural Communities, University of Montana
Health Success Stories
Guest post by Laura Dietz, University of New Hampshire This Success Story is a report on the results of the Northeast Big Data Innovation Hub’s 2020 Seed Fund program. Every winter, vast amounts of road salts are scattered onto streets across the northeastern U.S.. While important for our safety, ice-melt and rainfall wash this road […]
Guest post by Steven Skiena, Stony Brook University This Success Story is a report on the results of the Northeast Big Data Innovation Hub’s 2020 Seed Fund program. Steven Skiena and Xingzhi Guo presented this research to the COVID Information Commons (CIC) community as part of the February 2022 Lightning Talks and Research webinar. A […]