The Stepped Wedge Cluster Randomized Trial is a research methodology that has been growing in popularity, particularly for pragmatic implementation and dissemination trials. SW-CRTs can have advantages over parallel cluster randomized trials with regards to statistical power.

The astronomers’ goal: find an artificial intelligence algorithm to interpret microlensing events captured by the upcoming Roman Space Telescope and speed detection of exoplanets around other stars. They achieved that, but the AI told them something unexpected and deep: the theory used to infer stellar and exoplanetary masses and orbits from observations was incomplete. Digging into the mathematics, they uncovered a theory that explains all types of microlensing events and possible ambiguities in interpreting them.

Insider threats are one of the top security concerns facing large organizations. Current and former employees, business partners, contractors—anyone with the right level of access to a company’s data—can pose a threat. The incidence of insider threats has increased in recent years, at a significant cost to companies. Jingrui He, associate professor in the School of Information Sciences at the University of Illinois Urbana-Champaign, has been awarded a three-year, $200,000 grant from the C3.ai Digital Transformation Institute for a new project that seeks to detect and predict insider threats.

Argonne researchers have used quantum computers to simulate spin defects, an important material property for the next generation of quantum computers.