Focus on Health


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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

COVID Information Commons

COVID Resources Page

Connected Healthcare Cybersecurity Workshop Series

Large-Scale Observational Health Research

Submit your project here


Upcoming Health Events


Health Funding & Presentation Opportunities


Health Career Opportunities

Posts not found


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

Democratizing Artificial Intelligence: Bringing Automated Machine Learning Technologies to Basic, Translational, and Clinical Cancer Researchers, Association of American Cancer Institutes

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

Using a data-driven approach to study health disparities and secular trends in the chemical and individual exposome in the NHANES (National Health and Nutrition Examination Surveys)

Guest post by Chirag Patel, Harvard Medical School This Success Story is a report on the results of the Northeast Big Data Innovation Hub’s 2021 Seed Fund program. This research project considered the health challenges posed by environmental hazards across the U.S., with a particular focus on the health disparities experienced by different social groups.  […]

Home-Bias as A Double-Edged Sword? Existence and Influence of Patients’ Preference for Local Physicians on Virtual Health Platforms

Guest post by Dr. Shuting Wang, Assistant Professor, Baruch College, City University of New York (CUNY) This Success Story is a report on the results of one of the awards in the Northeast Big Data Innovation Hub’s 2021 Seed Fund program. In this study, the Baruch College team investigated the existence and influence of patients’ […]

Data Transforming Health Care EBook