Computational research on transport, logistics, traffic, and social networks is instrumental in understanding and optimizing the complex dynamics of interconnected systems. At ZIB, we develop advanced algorithms, data analytics, and modeling techniques for analyzing various aspects of these networks. For example, our researchers optimize logistics and supply chain operations or improve transportation efficiency. Additionally, computational research at ZIB enables the analysis of social networks, including the spread of information, infections, influence, and social interactions. It allows for the identification of dynamics on and within these networks, which can inform decision-making and policy development. By leveraging computational tools, ZIB researchers uncover insights, optimize resource allocation, and enhance the overall functionality, safety and resilience of transport, logistic, traffic, and social networks
