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From unikernels to privacy-preserving AI to usable security, Red Hat Research projects help open source communities innovate.

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Prototyping a Distributed, Asynchronous Workflow for Iterative Near-Term Ecological Forecasting

To fuel the growth of the ecological forecasting community, there is a need to openly develop and deploy accessible, reusable, and scalable community cyberinfrastructure (CI) that can be broadly applied to make large numbers of ecological forecasts on a repeatable, frequent basis. This project underway at the Red Hat Collaboratory at Boston University prototypes the beginnings of such a system, focusing on developing a cloud-native workflow that can handle an asynchronous, event-driven, and distributed approach to execution.

Featured articles

ChRIS five years later: the groundbreaking platform levels the playing field for advanced analytics and AI in medicine

RHRQ

An interview with Dr. Rudolph Pienaar, Staff Scientist at Boston Children’s Hospital and Assistant Professor in Radiology at Harvard Medical School, and Máirín “Mo” Duffy, Senior Principal User Experience Engineer and Software Engineering Manager at Red Hat.

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Red Hat offers students a unique opportunity to gain real-life working experience working on Red Hat projects and products. Every Red Hat intern works on a project with a goal of getting code into open source, building experience and upstream credibility along the way.

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Every quarter, we detail the latest projects we are working on,  interview a leader in open source code and cutting edge research, and more.

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Looking for more information on a project or research area featured here? The Red Hat Research community is happy to hear from you!