Joseph Tien uses network science and data science to examine the structure of the Twitter conversation about #Charlottesville.

Differential privacy protects individuals in a dataset from identification by injecting noise into the data.

Gender biases exist throughout the healthcare system, from medical research to disease diagnosis and treatment strategies.

Fluid flow in porous rock is especially relevant to the geosciences, climate studies, and various other areas.

Computational mechanics defines pattern and structure with the goal of detecting and quantifying the organization of complex systems.

One of the most exciting new capabilities of the Julia programming language is differentiable programming.

The 2019 SIAM International Conference on Data Mining featured a novel simulcast workshop on data mining in Africa.

Mark Levi presents a few miscellaneous observations prompted by the boredom of a long drive on a sunny summer day.

Model studies predict that instabilities can reverse desertification processes and increase ecosystem resilience to drought.

Daniel Maes describes a Markov Chain model to predict demographic enrollment totals at colleges and increase admission fairness.

The SIAM Journal on Applied Algebra and Geometry welcomes a broad range of research related to algebra, geometry, and topology.

Mathematical models allow researchers to characterize, predict, and control spatial and temporal spread of infectious diseases.

Image segmentation is a fundamental task of image processing and computer vision and has numerous applications.