2026 International Summer School on Methodology of Computational Social Science

Computational Social Science (CSS) is an interdisciplinary field emerging from the deep integration of social science and computational science. It encompasses emerging research paradigms such as computational simulation and artificial intelligence. These paradigms have broadened the scope of social science  research and provided innovative perspectives and powerful tools for analyzing complex economic and social systems.

To promote the application of CSS methodologies and facilitate the paradigm shift in social science research, the "Methodology of Computational Social Science" International Summer School has been held annually since 2019. The program invites renowned domestic and international scholars to systematically deliver lectures on relevant theories, methods, and applications. To date, more than 600 young faculty members and graduate students from over 80 universities and research institutions worldwide, including Peking University, Tsinghua University, and University College London (UCL), have participated in the program.

The course content includes, but is not limited to:

1. Theory of Complex Social Systems and Principles of Simulation Modeling

2. Agent-Based Modelling (ABM) Methods and Application of the NetLogo Simulation Platform

3. Parameter Estimation, Sensitivity Analysis, and Empirical Validation of Simulation Models

4. Application of Machine Learning Methods in Economic Causal Inference and Prediction

5. Computable General/Partial Equilibrium Modeling and Policy Scenario Simulation

6. Agent-Based Modeling of Complex Social Networks

7. Typical General-Purpose Social Simulation Models and Their Applications

8. Macro–Micro Bidirectional Feedback-Based Policy Simulation and Evaluation

9. Integration and Application of Computational Simulation Models and Large Language Models (LLMs)

Teaching Team

Training Dates

July 27-31, 2026

Training Format

On-site

Location

Helanshan Campus, Ningxia University, Xixia District, Yinchuan, Ningxia, China

Enrollment Targets: The summer school is open to faculty members and students worldwide who are interested in using computational simulation, data-driven paradigms, and related research methods for academic research (not limited to the social science). No prior programming experience is required to participate. The languages of instruction are English and Chinese. Participants are expected to have a basic working proficiency in listening and speaking English.

Organizer

Asian Social Simulation Association (ASSA)

Social Simulation Professional Committee, Asian Simulation Association

Youth Working Committee, Chinese Association of Agricultural Technology Economics

Computer Simulation Branch, Chinese Society of Optimization, Overall Planning and Economic Mathematics

Organizing Committee

College of Economics and Management, Huazhong Agricultural University

College of Economics and Management, Ningxia University

Digital Agriculture Research Institute, Huazhong Agricultural University

Training Fees

Participants are required to pay a training fee. After approval and filing by the financial department, the fee is set at RMB 1,000 per student and RMB 3,000 per faculty member. Participants who successfully complete all required courses will be awarded a certificate of completion.

Registration

Before June 7, 2026, visit the website https://v.wjx.cn/vm/mjsfAiR.aspx# or scan the QR code below to register. We solemnly promise that the information and materials provided by registrants will be used only for this summer school session, and personal information will be strictly confidential.

Admission Feedback

This summer school plans to admit 100 students. Admission results will be announced on June 30, 2026.

Contact Information

Phone: 027-87285015

Email: ComSocSci@outlook.com