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
Connected Healthcare Cybersecurity Workshop Series
Large-Scale Observational Health Research
Upcoming Health Events



SBP-BRiMS 2022
Gateways 2022
Health Professional Opportunities
2022 Data Science Internship Program, Massachusetts Life Sciences Center
Accepting rolling applications
The Mercury Project: Call For Proposals
Applications accepted on a rolling basis.
Health Career Opportunities
Health Resources
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
IEEE DataPort COVID-19 Open-Source Datasets, IEEE
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
NIH Office of Data Science Strategy Announces New Initiative to Improve Access to NIH-funded Data, NIH
Research & Training Center on Disability in Rural Communities, University of Montana
Health Success Stories
Knowledge Graph Embedding Evolution for COVID-19
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 […]
CritCOVIDView: A Critical Care Visualization Tool for COVID-19
Guest post by Todd Brothers, University of Rhode Island This Success Story is a report on the results of the Northeast Big Data Innovation Hub’s 2020 Seed Fund program. The main goal of this project was to develop a cutting-edge tool, CritCOVIDView, for bedside clinicians interpreting individualized patient data through the development of an interactive […]