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
Children’s Brain Tumor Network Early-Career Investigator Info Session, September 28th
Join the Children’s Brain Tumor Network for an overview of the biospecimen resources, data, analysis tools, and expert support available through the Children’s Brain Tumor Network to researchers and clinicians across the globe. Register to attend via Eventbrite.
NIH Seeking Input on new RFI, comment period open until September 29th
The NIH is asking for insights on a new RFI on Developing Consent Language for Future Use of Data and Biospecimens.
NCI’s Annual Symposium, November 9th and 16th
Save the date for the National Cancer Institute’s (NCI) Childhood Cancer Data Initiative (CCDI) Annual Symposium.
NIH Funding Opportunity, applications close December 9th
American Women: Assessing Risk Epidemiologically (AWARE) (R01 Clinical Trial Optional). This FOA will support research that combines epidemiologic methods, digital technology, and data science approaches to better understand HIV prevention, transmission, and early care-cascade points for women living in the US. Learn more on the NIH website.
Health Career Opportunities
The Data Science Institute (DSI) at Columbia University invites applications for the position of a Data and Cancer Post-Doctoral Scientist. The recipient of this two-year research position will be embedded in a Columbia University Irving Medical Center (CUIMC) cancer tumor board, an interdisciplinary board of clinicians reviewing plans of care for complex cancer tumor cases using state-of-the-art genomic, imaging analysis, and natural language processing where appropriate.
The Data Science Institute of Columbia University invites applications for research scientists at all levels: Associate Research Scientist, Research Scientist, and Senior Research Scientist. This position is endowed and the holder will be named a Herbert and Florence Irving Cancer Research Data Scientist. A successful candidate will serve as a resident expert in data science whose research interests are specifically focused on advancing and applying data science to understanding cancer.
Health Success Stories
Researchers from NYU Tandon release 3-D data tracking human interactions outside of coronavirus hotspots
Study to set groundwork to build machine learning models that rapidly analyze how a virus spreads In April when New York City was under a strict lockdown, a team of 16 student researchers from New York University’s Tandon School of Engineering commenced a National Science Foundation Rapid Response Research (RAPID) grant-funded project to observe potential […]
Studying the causes of disease is essential to medical research. However, the discussion is sometimes framed, misleadingly, as ‘nature vs. nurture’—is your condition the result of your genetics or your environment? Generally, the answer is both. But to what degree? A new study in Nature Genetics explores this question for hundreds of diseases with a […]