Disentangling is a research area in which scientists aim to separate and distinguish various contributing factors or components within a complex system or phenomenon. This can involve untangling different causes of an effect, identifying distinct patterns within a dataset, or understanding the individual roles of multiple variables in a given process. Disentangling research typically involves advanced statistical or computational methods to parse out the specific influences of each factor and clarify the relationships between them. This work is important for gaining a more nuanced understanding of complex systems and can provide valuable insights for applications in fields such as biology, psychology, economics, and climate science.