Managing pest outbreaks through participatory iterative ecological forecasting

January 26, 2022


Chris Jones, Research Scholar
North Carolina State University Center for Geospatial Analytics, USA


Iterative ecological forecasting provides a way for researchers to continually challenge models and hypotheses as new data and discoveries are made. Combing iterative ecological forecasts with interactive analytics and participatory modeling allows decision-makers and researchers to learn together more quickly to manage emerging pests and pathogens.
My team’s research focuses on this intersection between interactive interfaces, advanced spatio-temporal forecasts, and participatory modeling with decision-makers to better understand how we can build informative forecasts before much data is known about a new pest outbreak and continually improve these models and forecasts as new information is discovered.
In this webinar, I will focus on two case studies: sudden oak death and spotted lanternfly.

Useful references