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Data Centred Intelligent Geosciences: Research Agenda and Opportunities, Position Paper (2209.02384v1)
Published 20 Aug 2022 in physics.geo-ph, cs.DB, and cs.LG
Abstract: This paper describes and discusses our vision to develop and reason about best practices and novel ways of curating data-centric geosciences knowledge (data, experiments, models, methods, conclusions, and interpretations). This knowledge is produced from applying statistical modelling, Machine Learning, and modern data analytics methods on geo-data collections. The problems address open methodological questions in model building, models' assessment, prediction, and forecasting workflows.
- Aderson Farias do Nascimento (1 paper)
- Martin A. Musicante (4 papers)
- Umberto Souza da Costa (1 paper)
- Bruno M. Carvalho (2 papers)
- Marcus Alexandre Nunes (1 paper)
- Genoveva Vargas-Solar (22 papers)