Brief outline of the project
Scientific advances depend on the availability, accessibility and reusability of data and digital research products. Yet large amounts of data on the Earth are not well preserved. IGCP 697 is connected with PARSEC, a project funded by the Belmont Forum, brings together researchers in Brazil, Japan, the US, France, the UK, and Australia to support the collaboration of a synthesis-science team and data-science team to conduct a transdisciplinary, transnational synthesis science project, using artificial intelligence and deep learning, in parallel and in partnership with a project on the use and re-use of environmental and socioeconomic data to assess practices for managing and preserving data.
IGCP 697 project in collaboration with PARSEC project will organize an early-career workshop in Brazil and is designed to share the projects techniques to include learning about the data harmonization necessary for artificial intelligence projects, methods used for deep learning, and the related data management elements. Students from each of the participating countries will participate. Included is a visit to a protected area in the Amazon to better understand how well the ground data validates the analyzed satellite imagery.
- Duration: 2020-2024
- IGCP Theme: Earth Resources
- Dr Jamie Tramel (USA)
Address: 1250 Siskiyou Blvd, Ashland, OR 97520 (USA)