Making all research data accessible, discoverable, and usable

Globus Labs is a research group led by Prof. Ian Foster and Dr. Kyle Chard that spans the Department of Computer Science at the University of Chicago and the Data Science and Learning Division at Argonne National Laboratory. Our modest goal is to realize a world in which all research data are reliably, rapidly, and securely accessible, discoverable, and usable. To this end, we work on a broad range of research problems in data-intensive computing and research data management. Our work is made possible by much-appreciated support from the National Science Foundation, National Institutes of Health, Department of Energy, National Institute of Standards and Technology, and other sources, and in addition to computer science, engages fields as diverse as materials science, biology, archaeology, climate policy, and social sciences. We work closely with the team developing the Globus research data management platform, who often challenge us to think bigger—and sometimes implement our less crazy ideas.


FEATURED PROJECTS

We are developing methods to automate the scientific data lifecycle.

funcX is a Function as a Service platform for scientific computing.

Parallel scripting in Python


RECENT NEWS

Check out all the new features released in the newest version of funcX! funcX is our FaaS framework specifically designed for high performance function serving.

Ganesh and the Argonne team had a paper titled “Experimentally Driven Automated Machine-Learned Interatomic Potential for a Refractory Oxide” published in the PRL Journal! This paper was also highlighted as an “Editor’s Suggestion” in the journal.

Logan and Ganesh, in collaboration with others, had a new paper accepted to the Ninth International Conference on Learning Representations! You can check out a preprint of the paper, titled “Benchmarking Deep Graph Generative Models for Optimizing New Drug Molecules for COVID-19”, on arXiv.

In collaboration with the Center for Data and Computing, we are hosting the Chicago Data Discovery Virtual Summit on April 22 and 23! Registration is free and we look forward to seeing you there.


RECENT BLOG POSTS