Network modelling and algorithms have a critical role to play in the advancement of our understanding and characterisation of biological systems, with their ability to convert raw data into information and subsequently into actionable insights and knowledge. We hope that these articles will collectively provide a window into the diversity of research topics actively pursued in the area of biological network science, alongside the related challenges and opportunities, and will further motivate a curious reader to explore new research venues for investigation and contribution.