Microsoft Azure Credit Awards

The Institute for Data Engineering and Science (IDEaS) has partnered with Microsoft to make Azure cloud credits available to support data intensive research. The awards are intended to support:

  • open data, data collaboration, and data sharing projects that seek to make more data available and accessible for research, including curated, labeled training data sets for AI/ML models.
  • data intensive research and projects in different domain areas; e.g. biomedical and health, climate and sustainability, life sciences, materials and manufacturing, smart cities, social sciences, etc.

Proposals are solicited from academic or research faculty in the form of a single pdf file including:

  • A brief technical description of the proposed research and how the Azure cloud credits will be utilized.
  • Justification of the need for cloud credits in the context of other computational resources available for the project.
  • The dollar value of the cloud credits requested (minimum: $5K; maximum: $50K) and justification for the magnitude of the request. The Azure calculator may be useful for estimating credits, and is available at: https://azure.microsoft.com/en-us/pricing/calculator/.

A total of $150K Azure cloud credits are available to be allocated under this program. The allocated credits expire on June 30, 2020. Online training resources are available at https://docs.microsoft.com/en-us/learn/ and https://github.com/Microsoft/computerscience.

Timeline:

  • Applications are due Monday, February 23
  • Awards will be announced Friday, February 28
 
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Files must be less than 2 MB.
Allowed file types: pdf.