Recent decades have seen a rise in the use of physics methods to study different societal
phenomena. This development has been due to physicists venturing outside of their …

Computational social science is more than just large repositories of digital data and the
computational methods needed to construct and analyse them. It also represents a …

The interdisciplinary field of knowledge discovery and data mining emerged from a
necessity of big data requiring new analytical methods beyond the traditional statistical …

Abstract Health Professions Education (HPE) has benefitted from the advances in Artificial
Intelligence (AI) and is set to benefit more in the future. Just as any technological advance …

With the rise of artificial intelligence (AI), the issue of trust in AI emerges as a paramount
societal concern. Despite increased attention of researchers, the topic remains fragmented …

The complexity of many biological, social and technological systems stems from the richness
of the interactions among their units. Over the past decades, a variety of complex systems …

The advent of large-scale datasets that trace the workings of science has encouraged
researchers from many different disciplinary backgrounds to turn scientific methods into …

Social media data has become crucial to the advancement of scientific understanding.
However, even though it has become ubiquitous, just collecting large-scale social media …

At the beginning of this century, Hegselmann and Krause proposed a dynamical model for
opinion formation that is referred to as the Bounded Confidence Opinion Dynamics (BCOD) …

Large language models (LLMs) are capable of successfully performing many language
processing tasks zero-shot (without training data). If zero-shot LLMs can also reliably classify …