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.