PREDICT – Platform for REsilient Data Integration and Coordinated Forecasting Tools - project poster 2nd OSCARS AGM 2026
Authors/Creators
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1.
Estación Biológica de Doñana
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2.
ETH Zurich
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3.
University of Edinburgh
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4.
University of Southern Denmark
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5.
Université de Bretagne Occidentale
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6.
Aarhus University
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7.
University of Zurich
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8.
University of Sheffield
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9.
Utrecht University
Description
Europe has made significant progress in open ecological observation and network science through research infrastructures (RIs) such as GBIF, ICOS, and eLTER. However, while data collection and retrospective analyses are now well established, the ability to anticipate ecological change remains limited. PREDICT addresses this challenge by developing an open, interoperable, and scalable cyberinfrastructure for ecological forecasting, building on the capabilities of LifeWatch ERIC. The project integrates ecological data from diverse monitoring networks into modular forecasting workflows, openly accessible to researchers and decision-makers, to provide dynamic, near-term predictions of ecological states and processes under varying climate, land-use, and socio-economic scenarios.
Project page: https://oscars-project.eu/projects/predict-platform-resilient-data-integration-and-coordinated-forecasting-tools
Presented at: 2nd OSCARS Annual General Meeting (Seville, Spain, 10–12 March 2026).
Files
02-827-poster-PREDICT.pdf
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Additional details
Funding
Software
- Repository URL
- https://gitlab.lifewatch.dev/lfw024-donana-digital-twin/donanadt-shinyapp
- Development Status
- Active