Red Hat Research Quarterly provides insights into the range of activities that bring universities, government organizations, industry partners together to share outcomes with open source communities. Here you’ll find articles on the latest research topics we are exploring together, views into the approaches and people behind that research, and examples of the impact that combining education with an open source perspective can have.

February 2022Latest Issue


Clouds on the horizon: shared cloud computing resources make research more accessible and more powerful

An interview with Mike Zink.

More from this issue

Optimizing Kubernetes service selection

Where will we find the data scientists?

Ops is the new code: Operate First brings open source to operations

August 2021Latest Issue


The right idea at the right time: networking researchers use open source for real-world results

An interview with Anna Brunström.

More from this issue

BigDataStack delivers with contributions from industry and university partners

Faster hardware through software

Building better through research

All issues

May 2021

Anat Bremler-Barr: when one plus one makes more than two

August 2021

Anna Brunström: the right idea at the right time: networking researchers use open source for real-world results

RHRQ 3:3 - magazine cover

November 2021

Barbora Buhnová: On founding Czechitas and opening the doors of tech

RHRQ magazine cover with man

February 2022

Michael Zink: On shared cloud computing resources making research more accessible and powerful

May 2020

Kit Murdock—an open source swashbuckler.

Research Red Hat Quarterly 2:2 cover page

August 2020

Voyage into the open Dataverse: 

James Honaker and Mercè Crosas on the privacy balancing act

Red Hat Research Quarterly 2:3 cover page with Vaclav Matyas

October 2020

Václav Matyáš: open source cybersecurity and the next generation

Cover of Research Quarterly 2:4 with Kate Saenko

February 2021

Kate Saenko: minimizing dataset bias in AI

May 2019

Daniel Gruss—What can we do to improve security and resistance to the Spectres and Meltdowns of the future?

August 2019

How To Train Your Model: E. Ugur Kaynar’s Research Adds Object Store Caching to Ceph, Speeds Machine Learning.

November 2019

Rolling your own processor: Ahmed Sanaullah builds an open source toolchain for an FPGA.

February 2020

Finding Flipper: Newcastle PhDs Georgia Atkinson and Cameron Trotter use deep learning to identify and count marine mammals.


Sign up for a complimentary subscription to Red Hat Research Quarterly.