UQ4Life

Mathematical models of physical and biological systems are foundational in life science. Models are needed to optimize performance and predict how systems will respond to novel settings. Despite considerable advancements in improving model fidelity, we will never have complete representations of systems as complex as the Earth’s climate or the human body. Therefore, rigorous uncertainty quantification (UQ) using advanced statistical and mathematical methods is critical to calibrate models and provide reliable information for decision makers. Significant progress in this direction requires interdisciplinary teams of statistical, mathematical and life scientists. However, too often scientists in these fields are narrowly trained in their specific domain and not provided with instruction or experience in collaborating across disciplines. The National Science Foundation Research Training Grant entitled Modeling and Uncertainty Quantification for Life Sciences (UQ4Life) is intended to fill this gap.

The program is funded by the National Science Foundation (DMS-2342344).