Flex Conference (Physical / Digital)

International Conference on Machine Learning for Big Data Governance in IT (ICMLBDGIT - 26)

Call for Paper

The ICMLBDGIT provides a supportive platform for both experienced researchers and early-career academicians to present their work and gain recognition. The conference covers diverse topics such as Big Data,Machine Learning,Information Technology encouraging participation from emerging researchers and fostering academic growth.

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

  • Machine learning for data governance
  • Big data compliance and regulatory issues
  • Data quality management in governance
  • Machine learning for data lineage tracking
  • Big data ethics in governance frameworks
  • Governance challenges in big data projects
  • Machine learning for risk assessment
  • Data stewardship in big data environments
  • Big data privacy regulations and compliance
  • Machine learning for data classification
  • Governance frameworks for machine learning
  • Big data transparency and accountability
  • Machine learning for data ownership issues
  • Big data governance best practices
  • Data lifecycle management in big data
  • Machine learning for data integrity
  • Big data in regulatory compliance
  • Machine learning for audit trails
  • Big data governance in healthcare
  • Future trends in data governance

Review & Publication

Submissions will be reviewed to ensure quality and relevance, with a focus on encouraging emerging research contributions. Accepted papers will be presented and considered for publication opportunities.

Registration

Early-career researchers are encouraged to register and present their work, gaining valuable feedback and academic exposure.

Publication

The conference provides opportunities for emerging researchers to publish their work in recognized platforms.

Important Dates

Early Bird Registration :15th November 2026

Paper Submission Deadline :20th November 2026

Last Date of Registration : 30th November 2026

Date of Conference : 15th - 16th December 2026