PHD Discussions Logo

Ask, Learn and Accelerate in your PhD Research

Question Icon Post Your Answer

Question Icon

1 year ago in Computational Biology By Philip

What techniques are used to validate agent-based models in biology?

We have a working ABM, but peer reviewers will demand strong validation. I need to move beyond simple curve-fitting and understand the best practices for establishing the credibility and predictive power of our in-silico model.

 

All Answers (1 Answers In All)

By Alex Answered 1 year ago

Validation is where modeling transitions from a neat exercise to a scientific tool. I would recommend a multi-pronged approach. First, perform sensitivity analysis to identify which parameters drive outcomes—this tests robustness. Then, use pattern-oriented modeling, where you validate not just a single output curve, but multiple independent empirical patterns (e.g., spatial structure and growth rate). Finally, employ cross-validation by holding back a portion of your experimental data. The goal is to demonstrate your ABM captures the generative processes of the system, not just matches one dataset.

 

Your Answer