CSDMS 2020: Linking Ecosphere and Geosphere

Recent lessons from data- and model-driven DSS in the wicked, wild world

Suzanne Pierce

University of Texas, TACC, United States

Major societal and environmental challenges require forecasting how natural processes and human activities affect one another. There are many areas of the globe where climate affects water resources and therefore food availability, with major economic and social implications. Today, such analyses require significant effort to integrate highly heterogeneous models from separate disciplines, including geosciences, agriculture, economics, and social sciences. Model integration requires resolving semantic, spatio-temporal, and execution mismatches, which are largely done by hand today and may take more than two years. The Model INTegration (MINT) project will develop a modeling environment which will significantly reduce the time needed to develop new integrated models, while ensuring their utility and accuracy. Research topics to be addressed include: 1) New principle-based semiautomatic ontology generation tools for modeling variables, to ground analytic graphs to describe models and data; 2) A novel workflow compiler using abductive reasoning to hypothesize new models and data transformation steps; 3) A new data discovery and integration framework that finds new sources of data, learns to extract information from both online sources and remote sensing data, and transforms the data into the format required by the models; 4) A new methodology for spatio-temporal scale selection; 5) New knowledge-guided machine learning algorithms for model parameterization to improve accuracy; 6) A novel framework for multi-modal scalable workflow execution; and 7) Novel composable agroeconomic models.

Please acknowledge the original contributors when you are using this material. If there are any copyright issues, please let us know ( and we will respond as soon as possible.

Of interest for:
  • Terrestrial Working Group
  • Cyberinformatics and Numerics Working Group
  • Human Dimensions Focus Research Group
  • Ecosystem Dynamics Focus Research Group