2025 International Symposium on Artificial Intelligence and Computational Social Sciences
About AICSS 2025

About AICSS 2025

2025 International Symposium on Artificial Intelligence and Computational Social Sciences


In the era of rapid digital technological advancement, artificial intelligence (AI) is reshaping every aspect of social science research. In the age of big data, data-driven methodologies are increasingly supplanting traditional approaches in social sciences. Computational social sciences, which rely on vast amounts of data, benefit from AI's strengths in data analysis and pattern recognition, enabling deeper insights into social phenomena. The swift development of AI technologies has encouraged interdisciplinary collaboration between computer scientists and social scientists, fostering the creation of innovative methods and tools.

2025 International Symposium on Artificial Intelligence and Computational Social Sciencesswill be held in Beijing, China, from September 19–21, 2025. This event, the "International Symposium on Evolutionary Algorithms and Intelligent Control," aims to bring together researchers and experts from academia and industry to explore how AI can enhance the depth and breadth of social science research. The symposium will focus on analyzing AI applications in addressing social issues, informing policy-making, and optimizing urban planning.

To ensure the highest academic standards and attract more high-quality, original research papers, we are now inviting submissions. We warmly welcome academics, researchers, and students engaged in teaching, research, and related fields of AI and computational social sciences to contribute their work.

Important Dates

Important Dates

Submission Deadline

July 20, 2025

Notification Date

August 1, 2025

Registration Deadline

August 19, 2025

Conference Dates

September 19-21, 2025

CFP

Call For Papers

hot.gif The topics of interest include, but are not limited to:

artificial intelligence

· artificial intelligence

· artificial neural networks

· deep learning

· natural language processing

· computer vision

· knowledge graph construction

· interpretable machine learning

· embodied intelligence

social Computing Science

· social network analysis

· social media mining

· smart city

· social recommendation

· complex social system modeling.

language model

· the integration and development of big language model and social computing method

· the interpretability of big language model

· the application of big language model in social media

· the risk and safety of big language model and the alignment of big language model values.

big data

· big data representation

· big data analysis and processing

· big data structure

· big data fusion

· big data inheritance

· big data technology

· big data and artificial intelligence

· big data and deep learning.

language Intelligence and Smart Foreign Language Education

· application of artificial intelligence in personalized learning system

· data analysis and optimization of online learning platform

· prediction and evaluation model of learning effect

· research on education equity based on network data

· analysis of teachers ' behavior and intelligent teaching support

Submission

news.gif Please send the full paper(word+pdf) to Submission System : 

Submission System (Chinese)

Submission System  (English)

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publlication

Publication

All papers will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process, all accepted papers will be published in the Conference Proceedings, and submitted to EI Compendex, Scopus for indexing.

Note: All submitted articles should report original results, experimental or theoretical, not previously published or being under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of any academic. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.

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