Exposure to fine particulate pollution (PM2.5) increases mortality and morbidity and reduces human capital formation and worker productivity. As a consequence, high levels of particulate pollution may adversely affect economic activity. Using a novel dataset of changes in the annual gross...

Autonomous surveillance finds its application in many fields. It is a critical requirement for any search and rescue scenario under an emergency or radiation leak. The authorities may not want to send a human in such scenarios as it can be catastrophic. An Unmanned aerial vehicle can detect...

The current methods used to assess market and portfolio risk extend back to the early 1990s. These methods were developed for banks and broker/dealers and then were adopted by the portfolio management and hedge fund community. This audience focuses on short-term risk, which is measured in days...

In recent years, online retailers have increasingly relied on state of the art algorithms to help predict user satisfaction and recommend movies to consumers. The major limitation of advanced state of the art computational algorithms such as SVD and latent factor models using implicit feedback...

We introduce a prototype agent-based model of the macroeconomy, with budgetary constraints at its core. The model is related to a class of constraint satisfaction problems (CSPs), which has been thoroughly investigated in computer science. The CSP paradigm allows us to propose an alternative...

We discuss the impact of a COVID-like shock on a simple toy economy, described by the Mark-0 Agent-Based Model that we developed and discussed in a series of previous papers. We consider a mixed supply and demand shock, and show that depending on the shock parameters (amplitude and duration),...