The Data Science Incubator brings together our data scientists and domain scientists to collaborate on focused, intensive projects.

The Data Science Incubator is a one-quarter program that pairs researchers with eScience data scientists who provide expertise in state-of-the-art technology and methods in statistics and machine learning, data manipulation and analytics at all scales, cloud and cluster computing, software design and engineering, data visualization, and more. We find that collaboration in shared virtual or physical spaces is important for deeper technical engagement and provides opportunities for “cross-pollination” among multiple concurrent projects.

Faculty, post-docs, and graduate students in any field can propose a Data Science Incubator project, which cover a wide range of research topics. Incubator projects are not “for-hire” software jobs — the project lead will work in collaboration with the data scientists and the broader eScience community.

After 10 years (2014-2024) of running the Incubator program, we have launched a new program called the Data Science & AI Accelerator which accepts project proposals throughout the year.