22
Aug
2017

Most studies of how climate change will impact global food production focus on crops, where the effects of higher temperatures and drier weather are well characterized. But the world's meals increasingly include seafood, and the production from fisheries and aquaculture has tripled in the last 50 years. The climate sensitivity of this industry may be just as large as that of crop agriculture, and the interconnectedness of these sectors in many countries raises worries about biodiversity and resilience. 

09
Aug
2017

Veterans will be the ultimate winners in the U.S. Department of Veterans Affairs-Department of Energy (DOE) Big Data Science Initiative, a collaborative research effort that casts Argonne National Laboratory in a prominent role. Argonne’s extensive track record of successes with big data and big computers make it the quintessential partner of this multi-faceted research team to improve healthcare for millions of veterans, advance supercomputing and solve some of the nation’s biggest scientific challenges. A team led by the Computation Institute's Rick Stevens, associate laboratory director for Computing, Environment and Life Sciences at Argonne, was instrumental in moving the effort from concept to reality.

08
Aug
2017

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.

26
Jul
2017

A new mathematical model of ecology created by University of Chicago scientists provides the most accurate reproduction to date of natural biodiversity, according to a new paper in the journal Nature. For almost a century, ecologists have conceptualized an ecosystem as the sum of pairwise interactions, such as predator and prey, herbivore and plant, or parasite and host. However, equations based on that theory failed to replicate the diversity and resilience of natural ecosystems. Building upon previous work that modeled competition between species as similar to a game of rock/paper/scissors, a team led by Stefano Allesina, Professor of Ecology & Evolution at the University of Chicago, found that adding additional competitors could generate stable and robust model ecosystems.

10
Jul
2017

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. 

05
Jul
2017

Using lists of names collected from publicly available websites, two University of Chicago researchers have revealed distinctive patterns in higher education systems, ranging from ethnic representation and gender imbalance in the sciences, to the presence of academic couples, and even the illegal hiring of relatives in Italian universities.

29
Jun
2017

As social networks, apps, and other websites become more adept at turning user data into personalized experiences, more frequent stories appear that highlight the exciting -- and sometimes disturbing -- implications of that technology for health.

22
Jun
2017

Imagine you were able to solve a problem 50 times faster than you can now. With this ability, you have the potential to come up with answers to even the most complex problems faster than ever before. Researchers behind the U.S. Department of Energy’s (DOE) Exascale Computing Project want to make this capability a reality, and are doing so by creating tools and technologies for exascale supercomputers – computing systems at least 50 times faster than those used today. These tools will advance researchers’ ability to analyze and visualize complex phenomena such as cancer and nuclear reactors, which will accelerate scientific discovery and innovation.

16
Jun
2017

The CI team behind Swift likes to call the philosophy behind the parallel scripting language "programming in the large." The idea is that Swift lives one order higher than a project's core family of applications, coordinating the data inputs and outputs and allocating tasks according to whatever resources are available.

19
May
2017

Two groups of Computation Institute researchers at the U.S. Department of Energy's (DOE) Argonne National Laboratory earned special awards from the office of the U.S. Secretary of Energy for addressing the global health challenges of Ebola and cancer.