Project
OneSTOP seeks to minimise the introduction, establishment and spread of terrestrial invasive alien species.
It does so by integrating new detection approaches with data dissemination methods, prioritisation models and stakeholder engagement. By leveraging computer vision, environmental DNA (eDNA) analysis and citizen science initiatives, the project is developing novel approaches for species detection. To support policymakers and practitioners, OneSTOP is implementing a data-driven prioritisation system that uses automated workflows, model projections and multi-criteria analysis to assess and rank risks effectively. By ensuring that IAS data and software are open and FAIR, the project facilitates rapid information sharing to enable swift action.