High-Fidelity Simulation of Pathogen Propagation, Transmission, and Mitigation

Numerical techniques develop quantitative predictions of pathogen propagation, transmission, and mitigation indoors.

A New IEEE 754 Standard for Floating-Point Arithmetic in an Ever-Changing World

The 2019 version of the IEEE 754 Standard provides new capabilities for reliable scientific computing.

At DS21, Ariana Strandburg-Peshkin investigated vocal communication's impact on coordination within animal groups.

Changes in a network of multiple interconnected communities can impact the ensuing spread of disease during a pandemic.

An optimization algorithm automatically finds the best hyperparameters for deep learning models in the context of groundwater levels.

At DS21, Andrew Brouwer connected epidemiological theory to vaccination data for Michigan’s recent hepatitis A outbreak.

Developing methods to study the distribution tail of extreme events can inform strategies that mitigate their effects.

John C. Nash presents personal recollections on the evolution of methods for computing the singular value decomposition.

Machine learning for image-based diagnosis and prognosis of COVID-19 is promising but entails numerous pitfalls.

The concept of homeostasis clearly exemplifies the breakdown of mechanistic models when applied to the human body.

A novel mathematical model uses the continuum limit of particle models to analyze single and multi-lane traffic.

Researchers must contend with biases in healthcare AI that can lead to disparities in diagnosis and treatment.

Mark Levi gives a back-of-the-envelope derivation of the Jacobi equation for geodesics in a special case.

The second edition of Mining Imperfect Data focuses on common imperfections in real datasets.

Cailin O'Connor investigated the way in which distortions and individual confirmation bias misconstrue public belief at DS21.