7th International Conference on Big Data and Social Sciences (ICBDSS 2026)

The 7th International Conference on Big Data and Social Sciences (ICBDSS 2026) explores big data applications and analytical methods in social sciences, including digital humanities, public policy, education, economics, governance, data management, artificial intelligence, and large-scale computational systems.

Key Topics

• Social Sciences
  • Educational Science Research Based on Big Data (Educational Science)
  • Digital Humanities Research for Social Sciences (Digital Humanities)
  • Literary Studies Based on Big Data Methods (Literature)
  • Cultural Studies Based on Big Data Methods (Culture)
  • Historical Research Based on Big Data Methods (History)
  • Art Research Based on Big Data Method (Art)
  • Research on Philosophy Based on Big Data (Philosophy)
  • Political Research Based on Big Data Methods (Politics)
  • Research on Ethics and Methodology of Big Data Application (Ethics)
  • Research on Marxist Theoretical Problems Based on Big Data Method (Marxism)
  • Research on Discourse (Linguistics) Based on Big Data Methods (Linguistics)
  • Research on the Legal Power of Big Data Application and Its Practical Issues (Law)
  • Research on Innovation of Social Science Research Methods in Big Data Era
  • Research on Social Governance Based on Big Data Method (Sociology)
  • Research on Modern Economic System Based on Big Data Method
  • Research and Application of Public Opinion Based on Big Data Method
  • Other Related Topics
• Big Data
  • Big data Science and Foundation
  • Big data analysis
  • Big data management
  • Big data application
  • Big data algorithm
  • Data science model and method
  • Big data collection, integration, cleaning and best practices
  • Big data search and information retrieval technology
  • Scalable computational models, theory and algorithms
  • Big data and deep learning
  • Big data and high performance computing
  • Memory systems and platforms for big data analytics
  • Big data system performance evaluation report
  • Big data network infrastructure
  • Resource management method for big data system
  • Storage system (including file system, NoSQL and RDBMS)
  • Internet of Things big data application
  • Multicore computing and accelerators
  • Smart city big data application
  • Big data mobile app
  • Big data service
  • Data stream application
  • The scalability of big data systems
  • Big data open platform
  • Big data archiving and saving
  • Big data privacy and security
  • Visual graphics and context models
  • Visual analysis algorithm and basis
  • Experience and big data project deployment
  • Big data conversion and presentation
  • Big data in government management model and practice
  • Big data in business management model and practice
  • Other Related Topics
  • Big data for business transformation