The research team, 'Mathematical Modelling for Social Welfare,' focuses on applying advanced mathematical techniques based on partial differential equations to address socio-economic challenges and enhance societal well-being. With expertise ranging from complex systems and kinetic equations to numerical analysis and optimization, our team collaborates to develop innovative models and computational tools. By leveraging mathematical modelling, we aim to analyse and understand complex social phenomena, addressing issues such as epidemic spread, urban dynamics, wealth inequalities, alcohol and tobacco dependencies, and fake news spreading. Through our research, we strive to provide valuable insights and evidence-based solutions to support decision-making and promote societal welfare.