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.
Ben gave the NIST Office of Data Informatics Monthly Seminar - “A FAIR Approach Towards Fully Realizing the Impact of AI and Machine Learning in Materials Science”
ANL multi-division collaboration article on PFAS toxicity “Uncertainty-Informed Deep Transfer Learning of Perfluoroalkyl and Polyfluoroalkyl Substance Toxicity” has been published in The Journal of Chemical Information and Modeling.
Tyler’s study on how reserachers find and use open data has been approved by an IRB! Contact him if you’ve got a perspective to share on how data could be made more discoverable.
Eamon Duede was awarded an NSF funded traineeship at the Pritzker School of Molecular Engineering for AI-Enabled Molecular Engineering of Materials and Systems for Sustainability. Congratulations!