Jul 29, 2021
Peter Erlenbach has worked hard to achieve his master's degree while serving as a full-time solution engineer. Learn more about his experience in the online Master of Geospatial Information Science and Technology (MGIST) program.
Mar 25, 2021
NC State announces a bold initiative to make data science accessible to the entire campus community.
Feb 12, 2021
New research co-authored by Research Scholar Chris Jones and Faculty Fellow Gustavo Machado shows that a three-model approach could help farmers prevent the spread of PEDV in pigs. One of these models is the Center's signature PoPS (Pest or Pathogen Spread) model.
Jan 29, 2021
NC State’s 2020-21 class of University Faculty Scholars includes Center for Geospatial Analytics Faculty Fellow Natalie Nelson. These 21 early- and mid-career faculty receive this designation in recognition of their outstanding academic achievements and contributions to NC State through their teaching, scholarship and service to the university and beyond.
Nov 11, 2020
Promotion and tenure mark major milestones in the academic lives of NC State faculty. This year, Faculty Fellows Dan Obenour and Krishna Pacifici were tenured, and Perver Baran, Ryan Emanuel and Stacy Supak were promoted.
Nov 3, 2020
NC State faculty, staff, students and alumni garnered significant recognition for their accomplishments over the past year. Here are a few highlights.
Nov 2, 2020
New research in Faculty Fellow Rob Scheller's lab is using landscape change modeling to investigate the role forests certified by the Sustainable Forestry Initiative play in connecting landscapes as the climate changes.
Sep 9, 2020
Faculty Fellow Natalie Nelson was selected by the US Department of Agriculture to serve as one of 11 subject matter experts for the USDA’s Agriculture Innovation Agenda. Her expertise in machine learning and data science will inform proactive strategies to prevent crop loss.
Sep 2, 2020
Three members of our Center community were winners in the 2020 Envisioning Research Contest, illuminating discoveries through graphics and video.
Apr 29, 2020
An interdisciplinary team including Center for Geospatial Analytics researchers will combine small sensors with big data for faster detection of the diseases plaguing tomato fields. From a hand-held plant disease "sniffer" to a cloud-based database that can alert farmers about the cause of the stress and suggest possible mitigation strategies, the project aims to detect diseases early, improving yield.