The application of Digital Twins (DTs), virtual representations of physical objects, in ecological studies holds great potential for advancing our monitoring and assisting our conservation efforts with the provision of important scientific findings. The East Atlantic Flyway (EAF), as one of the most important migratory paths for waterbirds, makes it an ideal candidate for Digital Twin application. We highlight possible input sources like bird counts, weather and climate data that can be implemented into a Digital Twin and furthermore what functionalities a Flyway Digital Twin can offer for people involved in the project like scientists, conservationists and policymakers. We emphasize the need for a robust infrastructure to join existing data sources, assimilation of knowledge for the start of development and a possible expansion of collected data in temporal and spatial resolution. The potential outputs of a Flyway Digital Twin are diverse, offering insights into population dynamics, bird distributions and how stressors like urbanization, pollution and other disturbing factors can affect the populations. By harmonizing various sources of data, the Digital Twin can become a powerful tool connecting researchers, conservationists and policymakers and ultimately leading to more evidence-based management practices. This report concludes by outlining the essential steps in the development of a Flyway Digital Twin, making it a tool that combines various sources of data from all parts of the project and further advances ecological research.