To secure unambiguous communication on fungal species across different monitoring and research approaches by linking fungal names to DNA sequences via DNA barcoding of type material, and providing this knowledge on open platforms.

To research and develop state-of-the-art AI-based fungal species identification tools and link them directly to open data repositories with DNA-sequenced specimens.

To build on experiences from national citizen science projects and mycological societies to develop a transnational collaboration network to explore fungal biodiversity by combining structured missions, synchronized sampling, DNA sequencing, and AI tools.

To assess how eDNA can be used to monitor fungal diversity, as compared to recording of sporcarps and thalli, with a special focus on rare and threatened species. Supplement citizen science data with cross-European standardised eDNA sampling to identify fungal biodiversity hotspots in Europe.

To explore how, and to what extent, eDNA and citizen science data provide robust insights into spatiotemporal patterns of fungal diversity, their environmental drivers and the utility of existing conservation measures.