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
Connected Healthcare Cybersecurity Workshop Series
Events
University of Rochester Goergen Institute for Data Science Summer 2021 Colloquium Series
University of Rochester Goergen Institute for Data Science Summer 2021 Colloquium Series
July 2021 COVID Information Commons Webinar: Research Lightning Talks and Q&A
University of Rochester Goergen Institute for Data Science Summer 2021 Colloquium Series
Opportunities
NIH RFI: Use of Common Data Elements (CDEs) in NIH-funded COVID-19 research (Respond by May 10)
Bias, Ethics, Equity – Mitigating Decision Biases of Marginalized Populations with Algorithm Assessments
Data Integration – Big Data Integration to Better Health for All of Us
Spatial Data – Harnessing Geospatial Data for Environmental Public Health Protection
Machine Learning – Implementing Machine Learning Algorithms to Improve Cancer Surveillance Data
Search Algorithms – Architecting Search Across Petabyte-Scale Genomic Sequence
Modeling – Bringing Hope to Untreatable Rare Diseases through Data Science
Data Harmonization and Analytics- Innovative Solutions for Data Harmonization, Mobile Analytics, and End-User Support
Data Strategy – Amplifying and Sustaining the Impact of Childhood Cancer, Structural Birth Defect, and Down Syndrome Data
Data Strategy – Shifting the Paradigm of Heart Failure Research with Advanced Analytics
Relevant Open Datasets
Boston Area Research Initiative (BARI) COVID in Boston Database
Additional Global COVID Datasets
Success Stories
Protected: Covid Information Commons: Lightning Talks (June 2021)
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Covid Information Commons: Lightning Talks (May 2021)
Watch the full webinar here. On Wednesday, May 19 2021, five researchers studying wide-ranging aspects of the current pandemic came together as a part of the ongoing COVID-19 Research Webinar series organized through the COVID Information Commons, to share their research and answer questions from our community. This month’s event featured speakers Dr. Alka Sapat […]
Chocolate to Reduce COVID Spread? Researchers Discuss Their Work in February Webinar
During February’s COVID Information Commons (CIC) webinar, researchers, students, and non-profit leaders gathered to discuss and collaborate on research about COVID. The webinar featured talks from seven scientists from across the nation who shared insights on their NSF-funded research. Speakers included Naomi Senehi from Rice University, Nicola Sochacka from the University of Georgia, Timothy Oladunni […]