Unconventional Oil Exploration Via Machine Learning

Machine learning approaches can help choose the right locations for new oil wells and for identifying “sweet spots” for drilling.

Capacity Management Methodology Improves Efficiency of Amazon Locker Storage

A comprehensive algorithm estimates the expected occupancy requirement for Amazon lockers based on shipping speed and date.

At AN18, Hong Zhou described how biovariability can result in a wide range of injury probabilities among people in a crowd.

At AN18, Elizabeth B. Klerman applied the principles of circadian rhythms to human physiology to optimize sleep-wake schedules.

At AN18, Ciamac Moallemi showed how Bitcoin's blockchain technology uses congestion and delays to fund its computer infrastructure.

Bradford E. Peercy examines clustered cell migration in the egg chamber of Drosophila melanogaster, the common fruit fly.

Mathematical models can help study the effectiveness of Vicodin abuse prevention methods educating doctors and patients.

Sofya Zaytseva uses imagery analysis on oyster reefs in the Chesapeake Bay watershed to model reef morphology and guide restoration efforts.

User contribution and participation are essential features of online social networks, which require users to perform specific activities and adopt...

Mathematical models can enable better understanding of microbial electrolysis cells, which produce hydrogen from renewable organic matter.

At ED18, Hannah Callender Highlander presented a mathematical model that uses bystander intervention to limit sexual assault.

Biological aggregations such as bird flocks, fish schools, and insect swarms exhibit collective motion. At AN18, Chad Topaz described the...

Mathematicians and scientists are coming up with quantitative measures and mathematical models to measure gerrymandering.

John Mattingly has spent five years mathematically dissecting the structure of a typical redistricting to identify gerrymandering.

Theoretical understanding of deep learning is one of the most important tasks facing the statistics and machine learning communities.