PLSCI 6250

Data-Model Fusion in Research

Course Description

Course information provided by the 2025-2026 Catalog.

This hands-on class trains graduate students on integrating data with models via data-model fusion to address scientific questions in research. Students will learn about modeling and the nature of data by integrating their own data with relevant models. Students will identify appropriate data to constrain their own models using various techniques, e.g., data assimilation and machine learning, in data-model fusion.

Last 4 terms offered (None)

Outcomes REF-FA25

• Integrate data with models.
• Improve model predictions with data from multiple sources.
• Synthesize data into diverse models for predicting biological and ecological responses.
• Apply skills of data-model fusion to solve various issues in agricultural and life sciences.

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