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
Health Professional Opportunities
2022 Data Science Internship Program, Massachusetts Life Sciences Center
Accepting rolling applications
Community Development and Engagement Program
Now accepting applications
Early-Stage Development of Data Science Technologies for Infectious and Immune-mediated Diseases
Proposals due July 1st
Microsoft Research PhD Fellowship
Call for nominations closes June 7th
NSF: Dear Colleague Letter: Sentinel Systems that Detect, Recognize, Actuate, and Mitigate Emergent Biological Threats
Learn more on the NSF’s website.
Pilot Projects to Address Factors Contributing to Structural Racism in Public Health
Applications due June 1st
SEEDS Grant Program, South Big Data Innovation Hub
Applications accepted through June 3rd
The Mercury Project: Call For Proposals
Applications accepted on a rolling basis.
The S.E.E.D.S Grant Program: Southern Engagement and Enrichment in Data Science
Applications accepted through June 3rd.
Health Career Opportunities
Health Resources
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
Connected Healthcare Integrated Systems Design Workshop Results, IEEE and NEBDHub
NIH Office of Data Science Strategy Announces New Initiative to Improve Access to NIH-funded Data
Health Success Stories
A scalable computational pipeline to develop polygenic risk scores from biobank data
Guest post by Hongyu Zhao, Yale School of Public Health, Yale University This Success Story is a report on the results of the Northeast Big Data Innovation Hub’s 2020 Seed Fund program. The goal of this project was to address the computational and implementation issues by developing a unified and user-friendly web platform for practicing […]
A landscape of virus-host protein-protein interactions in SARS-CoV-2 infection in humans by machine learning
Guest post by Ho-Joon Lee, Ph.D., Yale School of Medicine This Success Story is a report on the results of the Northeast Big Data Innovation Hub’s 2020 Seed Fund program. COVID Information Commons Presentation: A landscape of virus-host protein-protein interactions in SARS-CoV-2 infection in humans by machine learning Our goal with this Seed Fund project […]
Nonlinear Dynamics and Machine Learning for Accurate Detection of Early-stage Atrial Fibrillation
Guest post by Changqing Cheng, Ph.D., Binghamton University, State University of New York This Success Story is a report on the results of the Northeast Big Data Innovation Hub’s 2020 Seed Fund program. The overarching goal of this Seed Fund project was to develop an integrated platform to integrate nonlinear dynamics analysis and data science […]