Explain your model's assumptions, data, parameters, and results in a way that anyone could understand.
Models help us understand, predict, and design biological systems. Mechanistic modeling, machine learning, and other computational approaches can guide project design and deepen understanding of the system being studied, especially when grounded in data from the team's own experiments or from existing sources. This award is for teams who build or apply a model and use it to inform design, predict behavior, or interpret results, before or alongside their experimental work.
Visit the Special Awards page for more information.
Mathematical models and computer simulations provide a great way to describe the function and operation of Parts and Devices. Synthetic Biology is an engineering discipline, and part of engineering is simulation and modeling to determine the behavior of your design before you build it. Designing and simulating can be iterated many times in a computer before moving to the lab.