The Next-Generation of StochSS will be coming soon!

We are pleased to announce that development has begun on the next generation of StochSS!

The next-generation of StochSS will have the following features:

Model Development Toolkit. We are developing tools to facilitate and accelerate the process of Model Development: the iterations of modeling, simulation, and experiment that are typically required to converge on the most plausible model that can explain the data. The Model Development Toolkit will address parameter estimation and quantification of uncertainty, generation and evaluation of the set of plausible models, and optimal design of experiments (prediction of which information would be most informative to validate or invalidate a model).

Model Exploration Toolkit. We are developing tools for Model Exploration: the process of exploring the parameter space to ensure that the model is robust to variations in uncertain and/or undetermined parameters, to find the regions of parameter space in which the model is capable of yielding a given behavior such as oscillations, and to discover all of the qualitatively distinct behaviors which the model can yield within the space of uncertain and/or undetermined parameters.

Expanded core capabilities. We will extend the core functional capabilities, including an updated cloud backend, to support scalable computing for model development and model exploration, and improved compatibility with other software via support for standard formats for model exchange.

StochSS 1.5 Available for Download!

StochSS 1.5 is now officially released!
Version 1.5 includes:

  • A new model editor: Edit models faster and easier!
  • Cost analysis functionality: Measure the cost of running jobs in the cloud
  • Cloud data reproduction: Delete cloud data and reproduce it only when it is needed
  • Cloud instance type selection: Configure what instance types are used for cloud computation

Details and instructions on how to obtain the code can be found on the Download page
Tutorials are available on the Documentation page
Linda Petzold and Chandra Krintz – University of California Santa Barbara
Per Lötstedt and Andreas Hellander – Uppsala University