Climate change and agriculture. The environment, infrastructure, and activity of cities. The damage of electric shock. Police relations with the public. The balance of innovation and conservatism across the history of science. These subjects would seem to have little overlap, but in 2015, they were all subjects of research at the Computation Institute, with researchers finding new and brilliant ways of using data and computation to study a broad range of important topics.
One of the most important consequences of climate change will be its effect upon global agriculture and food supply. In worst case scenarios, increased temperatures and more frequent droughts will create food scarcity and dramatic shifts in the types of crops different regions of the world can grow. But in order to better prepare for these changes, more nuanced forecasts about climate and agriculture are needed. This week, one of the most ambitious projects in this area announced a new phase in creating these important computational tools.
In two recent studies, CI Senior Fellows James Evans and Andrey Rzhetsky built a network of millions of papers to ask an important question: is scientific research living up to its potential? Their analysis, conducted with UCLA's Jacob Foster and CI Director Ian Foster, found that science increasingly explores more incremental and conservative questions, avoiding the
Everyone in the automotive industry wants to build a better engine, one that gets higher gas mileage, produces less emissions, and stills provides the power that drivers want. But actually building and testing different engines in the wide range of conditions it experiences is a costly process, and prohibitively complex. Dozens of variables, including RPM, fuel type and temperature, weather conditions, and city vs.