Augmenting Models

Using any model uploaded to or created in Terarium, users can:

Edit the model
Stratify the model
Create model configurations

Editing a model

Model editing enables users to build on existing models. Supported edits include:

Answering questions about, adding, removing, or changing state variables, transitions, parameters, rate laws, and observables.
Renaming model elements.
Setting variable or parameter units.
Replacing parameters with more complex formulas.
Resetting the model to its original state.

Code notebook with AI-generated python code for adding parameters and transitions to an SEIRHD model

The Edit model operator is a code notebook with an interactive AI assistant. Users describe in plain language the changes they want to make, and the large language model (LLM)-powered assistant automatically generates code to fulfill the request.

Stratifying a model

Users can make a simple model more complex by stratifying its state variables and parameters. Stratification builds many different versions of a model and its parameters—by location, demographics, or other contextual data—into one large model.

Stratification of SEIRHD model states and parameters by vaccination status

Configuring and validating a model

Various country-specific configurations of an SIR model extracted from a scientific paper

Before running a simulation, users can configure a model by setting the initial values and parameters for the condition they want to test. You can use the Configure model operator to:

Automatically extract a configuration from an optional document or dataset.
Manually enter values and account for uncertainty in any downstream simulations.
Select from previously saved configurations in the current project.