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: $25K) 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/.
At least $100K Azure cloud credits are available to be allocated under this program. The allocated credits expire on June 30, 2021. Online training resources are available at https://docs.microsoft.com/en-us/learn/ and https://github.com/Microsoft/computerscience.
- Applications are due Friday, September 25th.
Submit application here.