This study proposes an agent-based model of the impact of research success on the structure of scientific communities. In the model, heterogeneous scientists scattered about a ‘social landscape’ influence each other through networking. Peer networks are allowed to change based on...

Using search engine query data as a measure for public awareness of sexual health outcomes, this study extracts a measure of general interest in sexually transmitted disease for the United States (2004 - 2012). This trend is compared to a measure of overall economic prosperity. Heightened...

This study engineers a household sector where individuals process macroeconomic information to reproduce consumption spending patterns in New Zealand. To do this, heterogeneous artificial neural networks (ANNs) are trained to forecast changes in consumption. In contrast to existing literature,...

This study explores the value of information transmission in training heterogeneous Artificial Neural Network (ANN) models to identify patterns in the growth rate of aggregate per-capita consumption spending in New Zealand. A tier structure is used to model how information passes from one ANN to...

This study uses artificial neural networks (ANNs) to reproduce aggregate per-capita consumption patterns for the New Zealand economy. Results suggest that non-linear ANNs can outperform a linear econometric model at out-of-sample forecasting. The best ANN at matching in-sample data, however, is...

Data show that educated workers earn higher wages and experience lower unemployment rates. Some researchers believe this occurs because education improves a worker's productivity (or human capital), making them more desirable on the job market. Other researchers believe schooling improves a...

Vampires are a prominent feature of modern culture. Past research identifies the ecological and economic relationship between vampires and living humans under the assumption that 'representative agents' are capable of characterising entire communities. Whether populations of individuals can...