Plants by the Numbers: Math, Computation and the Future of Plant Biology

by Greg Watry

What does the future of plant biology education and research look like? That’s the question on the mind of Siobhan Brady, associate professor of plant biology at UC Davis.

Big data approaches will be key to advances in plant biology, so students need to be trained in these areas. Unknown author/Wikipedia (CC BY 2.5)

In a Plant Physiology commentary paper, Brady, along with 37 other plant biologists from around the world, call for universities to integrate more quantitative and computational techniques into biology-oriented academic curricula. Introducing these skills early, the group advises, will help prepare tomorrow’s plant biologists for the next era of genomics research.

Where Things Go Wrong: Perspective on Cascading Failures

By Aditi Risbud Bartl

Sometimes, one darn thing leads to another in a series of cascading failures. Understanding the weak points that lead to such cascades could help us make better investments in preventing them.

Professor Raissa D’Souza in the UC Davis College of Engineering studies complex systems and how they can go wrong.

In the Nov. 17 issue of Science, Raissa D’Souza, professor of computer science and mechanical and aerospace engineering at UC Davis, wrote a perspective article about cascading failures that arise from the reorganization of flows on a network, such as in electric power grids, supply chains and transportation networks.

Supercomputer Simulates Dynamic Magnetic Fields of Jupiter, Earth, Sun

By Becky Oskin

As the Juno space probe approached Jupiter in June last year, researchers with the Computational Infrastructure for Geodynamics’ Dynamo Working Group were starting to run simulations of the giant planet’s magnetic field on one of the world’s fastest computers. While the timing was coincidental, the supercomputer modeling should help scientists interpret the data from Juno, and vice versa.

Video: Simulation of Jupiter’s magnetic fields 

“Even with Juno, we’re not going to be able to get a great physical sampling of the turbulence occurring in Jupiter’s deep interior,” Jonathan Aurnou, a geophysics professor at UCLA who leads the geodynamo working group, said in an article for Argonne National Laboratory news. “Only a supercomputer can help get us under that lid.”