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.


FEATURED PROJECTS

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


RECENT NEWS

Ricardo Barros Lourenco presented “Atmospheric Cloud Characterization with Deep Learning on Google Earth Engine” at Google Earth Engine User Summit 2018.

High-Throughput Neuroanatomy and Trigger-Action Programming: A Case Study in Research Automation. 1st International Workshop on Autonomous Infrastructure for Science.

Logan Ward had his paper “Matminer: An open source toolkit for materials data mining” published in Computational Materials Science Journal.

Logan Ward gives talk on “machine learning and materials modeling” at CECAM workshop