A Life Cycle for Modeling Biology at Different Scales

Area of Science:

• Biology
• Scientific Modeling

Background:

• Modeling is increasingly used in biology for research and discovery.
• A gap exists in modeling literacy among biologists, hindering progress.
• Advances in modeling theory have outpaced widespread understanding.

Purpose of the Study:

• To present a blueprint for biologists to effectively interrogate and apply scientific models.
• To enhance understanding and application of modeling techniques across biological disciplines.

Main Methods:

• Developed a blueprint to improve biologists' modeling literacy.
• Applied the blueprint to case studies in developmental-biomechanics and evolutionary biology.
• Examined diverse model types, from dynamical mechanisms to statistical inferences.

Main Results:

• The blueprint provides a framework for interrogating and applying biological models.
• Demonstrated the blueprint's utility in distinct biological subfields.
• Highlighted the broad applicability of models in exploring biological phenomena.

Conclusions:

• Improved modeling literacy is crucial for advancing biological research.
• The presented blueprint empowers biologists to better utilize modeling tools.
• Scientific models are versatile instruments for biological inquiry and data analysis.