Data Science in Public Health Resource Initiative
In recognition of the need for our researchers to leverage technology in order to solve the complex public health issues of today, the Mailman School of Public Health is spearheading a Data Science in Public Health initiative in partnership with the Columbia Data Science Institute. This new program is being designed to provide faculty and students access to the resources they need to successfully apply data science to their work. This includes support for collaborative research projects as well as access to key services. These resources will build upon Mailman IT’s existing High Performance Computing Support Service, which will gradually expand to include broader application support, custom application code review, troubleshooting and development, various training and events, and more.
Information and access to these new resources will be aggregated within the pages of this new sitelet, currently being developed. We will be sure to alert the Mailman community as new resources come online. In the interim, if you have questions about the genesis of this program, its scope and future, feel free to reach out to Dr. Gary Miller, our Vice Dean for Research Strategy and Innovation. For questions related to specific services or tools, please contact Rebecca Yohannes, Mailman IT’s Director of HPC Resources.
Resource Links (In Development)
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- AWS | Data Transfer | HPC Basics | SPA | Choosing Your System |
S3 | Software | - Unix | Policies | Requesting Access |
EBS | - Arc Gis | Python | Public Data Sets | Usage Policy |
Glacier | - SAS | R | How To | |
- DSBIT | Hosting Options | Code Optimization | Rate Calculations | |
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Glacier
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