Two new research divisions at the U.S. Department of Energy’s (DOE) Argonne National Laboratory will focus its lab-wide foundational expertise on computational science and data science activities. The new Data Science and Learning Division, led by CI Senior Fellow Ian Foster, and the Computational Science Division will enhance lab-wide, cross-cutting capabilities to enable new scientific knowledge and insight in a wide range of disciplines.
For the future of the planet, there are few research subjects more important than the global supplies of food, water, and energy. To comprehensively study, understand, and inform policy around these complex systems, the next generation of researchers in the physical, social, and biological sciences will need fluency with data analysis methods that traverse traditional academic boundaries.
For the last two years, the Chameleon testbed has enabled researchers around the world to push the limits of cloud computing in areas such as astronomy, cybersecurity, and education. The project, led by the Computation Institute, has thus far served over 14000 users as an experimental, highly customizable environment where they can test new architectures and applications, at the kinds of scale needed for today's big data projects. To commemorate established achievements and plan for the future of the testbed, Chameleon will host its first user meeting this September at Argonne National Laboratory.
Most people don't want to imagine an earthquake or deadly disease outbreak hitting their city, but for a team at Argonne National Laboratory, envisioning the worst is their job. Chicago Magazine recently profiled Argonne's Global Security Sciences division, including the Social and Behavioral Systems group led by CI Senior Fellow Chick Macal, which uses agent-based modeling techniques to simulate various types of disaster scenarios.
Agent-based modeling can be used to simulate any number of complex scenarios, from the evacuation of a city after a natural disaster to the actions of the immune system after a gunshot wound. The Complex Adaptive Systems group at Argonne National Laboratory, led by CI Senior Fellow Chick Macal, is a leader in developing these models, including creating a simulation of the entire city of Chicago to test the spread of MRSA, ebola, and other diseases.
The full potential of cloud computing to directly impact science, medicine, transportation, and other industries has yet to be realized. To help investigate and develop this promising cloud computing future, the Computation Institute (CI) at the University of Chicago and Argonne National Laboratory and the Texas Advanced Computing Center (TACC) at The University of Texas at Austin today announced that the new experimental testbed, called Chameleon, is in full production for researchers across the country.