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The cooperation between AoZhe International and Peking University has taken an important step in the field of computational social science, which has brought new opportunities and directions for related research. As an important part of modern logistics, air express also contains rich data and complex operation logic behind its efficient transportation mode.

The development of air express is inseparable from advanced technical support and scientific management systems. From logistics tracking technology to data analysis, every link is constantly innovating and optimizing. The application of these technologies not only improves the efficiency and accuracy of express transportation, but also accumulates a large amount of valuable data for related industries. The mining and utilization of these data coincides with the research methods of computational social science.

Computational social science can gain in-depth insights into social phenomena and human behavior by using big data analysis and model building. The massive amount of data generated in the field of air express, such as transportation routes, cargo types, customer needs, etc., provides rich material for computational social science research. By analyzing these data, researchers can reveal the laws of consumer behavior patterns, market dynamics, and economic development trends.

At the same time, the research results of computational social science can also provide guidance for the development of the air express industry. For example, through the study of consumer psychology and behavior, air express companies can more accurately position themselves in the market, optimize service quality, and improve customer satisfaction. In addition, the research on the optimization of logistics networks and resource allocation can help companies reduce costs, improve operational efficiency, and enhance market competitiveness.

At the policy level, government support for the fields of air transport and computational social science is also crucial. The formulation and implementation of relevant policies can create a good environment for the development of the industry and promote cross-field cooperation and exchanges. For example, the introduction of policies to encourage technological innovation can promote the introduction of more advanced technologies in the air express industry, improve transportation efficiency and service quality; and the funding and support for computational social science research can accelerate the transformation and application of research results and bring more benefits to social development.

In conclusion, although aviation transportation and computational social science research belong to different fields, there is a close connection and mutual promotion between the two. This synergistic integration will bring more possibilities and opportunities for future development.