The digitally connected world has become a large, swirling sea of information stripped of context.
A conversation with Ella Peltonen: why theoretical machine learning and distributed systems researchers should find a common language
In this interview, Ubiquity's senior editor Dr. Bushra Anjum chats with Dr. Ella Peltonen, a research scientist with the Center for Ubiquitous Computing, University of Oulu, Finland, about the traditional divide between theoretical machine learning and the more applied fields of distributed systems. They then discuss the need for environments and opportunities where researchers from both theory and application areas can discuss, share their latest findings, and understand each other. ...
COVID-19 and computation for policy
Politicians and the public have been perplexed to observe the lack of consensus in the scientific community and there being no single "best science" to follow. But computational modeling is one of the few ways available to explore and try to understand the space of possible futures. In the same way that democracy is the least worst form of government, computational modeling may be the least worst way of trying to understand the future for policy making. ...
