VOL. 101 | NO. 8 Europe’s Biodiversity Strategy AUGUST 2020 A Virtual Hackathon Fights Locusts MH370’s Search Reveals New Science INNOVATIONS IN TECHNOLOGY GOT US INTO THE DATA PROBLEM. WE NEED AN EVOLUTION IN TECHNOLOGY TO GET US OUT. FROM THE EDITOR Editor in Chief Heather Goss, AGU, Washington, D.C., USA;
[email protected] AGU Sta The Rise of Machine Learning Vice President, Communications, Amy Storey Marketing,and Media Relations e cover the data problem here in Eos quite a bit. But Editorial Manager, News and Features Editor Caryl-Sue Micalizio “the data problem” is a misnomer: With so many Science Editor Timothy Oleson ways to collect so much data, the modern era of News and Features Writer Kimberly M. S. Cartier W Jenessa Duncombe science is faced not with one problem, but several. Where we’ll News and Features Writer store all the data is only the first of them. Then, what do we Production & Design do with it all? With more information than an army of humans Manager, Production and Operations Faith A. Ishii could possibly sift through on any single research project, Senior Production Specialist Melissa A. Tribur scientists are turning to machines to do it for them. Production and Analytics Specialist Anaise Aristide “I first encountered neural networks in the 1980s,” said Kirk Assistant Director, Design & Branding Beth Bagley Senior Graphic Designer Valerie Friedman Martinez, Eos science adviser for AGU’s informatics section Graphic Designer J. Henry Pereira and a professor at the University of Southampton, United Marketing King dom, when he suggested the theme for our August issue.