Content under development

The IM partnership is being launched as we write (Fall 2017). Much of the its initial work will provide full documentation in web pages like this one. As a temporary preview, we outline each page's planned contents here. We expect the site to be in initial working shape by 2018.

We are currently entertaining conversations with prospective partners, whose participation will be instrumental in finalizing this site's details and content.

Please contact us at info@integratedmodelling.org if you would like more information before then.

Outline of forthcoming content

A “one model fits all” paradigm is inappropriate for understanding and modeling complex reality – for example, linked human-natural systems. Integrated modelling brings together multiple modeling techniques into a single platform, including:

  • Spatial data and GIS for visualizing both input and output maps;
  • Equations and look up tables, typical deterministic physical science models;
  • Bayesian probabilistic models, expert-based approaches that operate well in data poor conditions;
  • Process-based models, representing ecological processes dynamically when appropriate knowledge is available;
  • Agent-based models, representing ecological and social agents dynamically and interdependently.

Models and data are developed and contributed independently, one concept at a time, without a need for coordination:

  • Modellers can contribute their models and data to the network;
  • Models and data can become available to the other users, embracing the open-data paradigm but respecting confidentiality where needed;
  • Web-based technology enables data and model sharing and model processing;
  • Artificial Intelligence ranks and selects the most appropriate models for the context of interest;
  • Readable, rich documentation of the models used and the rationale of their choice is built automatically.