Data Centred Intelligent Geosciences: Research Agenda and Opportunities, Position Paper

Aderson Farias do Nascimento; Martin A. Musicante; Umberto Souza da Costa; Bruno M. Carvalho; Marcus Alexandre Nunes; Genoveva Vargas-Solar

arXiv · 2209.02384

Data Centred Intelligent Geosciences: Research Agenda and Opportunities, Position Paper

Aderson Farias do Nascimento·Martin A. Musicante·Umberto Souza da Costa·Bruno M. Carvalho·Marcus Alexandre Nunes·Genoveva Vargas-Solar

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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.

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physics.geo-ph cs.DB cs.LG

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Aderson Farias do Nascimento, Martin A. Musicante, Umberto Souza da Costa, Bruno M. Carvalho, Marcus Alexandre Nunes, Genoveva Vargas-Solar. 2022-08-20. Data Centred Intelligent Geosciences: Research Agenda and Opportunities, Position Paper. https://arxiv.org/abs/2209.02384

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