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 Computation Institute, Department of Computer Science, and Math and Computer Science Division at the University of Chicago and 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.


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


The paper ‘Towards Online Steering of Flame Spray Pyrolysis Nanoparticle Synthesis’ (preprint), led by Maksim Levental, was accepted at the XLOOP 2020 Workshop at SC20. Congratulations, Max!

Takuya Kurihana’s poster, A data-driven cloud classification framework based on a rotationally invariant autoencoder was accepted to be presented at the AGU fall meeting. Congratulations, Tak!

Ian Foster was interviewed by Wired magazine about how machine learning is being used to speed up battery development: AI Is Throwing Battery Development Into Overdrive.

Ian Foster was featured in the Material Data Matters podcast about how materials are related to big data. Check it out here!