Flex Conference (Physical / Digital)

International Conference on Big Data Integration and Knowledge Management - (ICBDIKM-27)

26th - 27th June 2027 , Barcelona - Spain

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Call For Papers

The (ICBDIKM-27) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Computational Science, Data Science are explored to promote cross-domain knowledge exchange and collaborative innovation.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Knowledge management in big data contexts
  • Data integration techniques for heterogeneous sources
  • Big data analytics for decision making
  • Machine learning for knowledge discovery
  • Data governance in big data environments
  • Challenges in big data integration
  • Real-time knowledge management solutions
  • AI for enhancing data quality
  • Big data visualization for knowledge sharing
  • Interdisciplinary approaches to data integration
  • Big data in healthcare knowledge management
  • Applications of big data in education
  • Data-driven strategies for knowledge creation
  • Future trends in big data integration
  • Collaborative knowledge management practices
  • Big data for enhancing organizational learning
  • Ethics in big data knowledge management
  • Machine learning for data-driven insights
  • Big data solutions for research collaboration
  • Knowledge management frameworks for big data

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.