PREDICT – Platform for REsilient Data Integration and Coordinated Forecasting Tools - project poster 2nd OSCARS AGM 2026

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Authors: Maria Paniw, Billur Bektaş, Emily G. Simmonds, Melina Kourantidou, Cara A. Gallagher, Owen L. Petchey, Thomas F. Johnson, Gerbrand Koren
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Abstract

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).

Fields of Study & Subjects

Environmental Monitoring and Data Management Research Data Management Practices Scientific Computing and Data Management

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
27 February 2026
Language
EN