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 automatically extract scientific facts buried in scientific publications

Parallel scripting in Python

We are developing methods to automate the provisioning of cloud computing infrastructure


Logan Ward is invited to give a talk on Machine-learning-aided Design of Metallic Glasses at TMS 2019.

The NIST Center for Hierarchical Materials (CHiMaD) has been extended for an additional 5 years. We are excited to continue expanding on the solid foundation that CHiMaD has built. In the first phase, CHiMaD researchers at NIST, UChicago, Argonne, and Northwestern built new materials for batteries, electric cars, cell phones, electronics, inks for 3D printing, polymers and more. GlobusLabs projects including the Materials Data Facility and the Polymer Property Predictor and Database (PPPDB) are funded through CHiMaD. Through these projects, and the tireless work of others in the community, the data infrastructure to support automated capture of datasets and apply broad machine learning and AI to speed material design is within reach over the next 5 years. [Full Report]

Ian Foster named recipient of the 2019 IEEE Computer Society Charles Babbage Award! Congratulations!