SNRI

(ICBDAITY - 27) | Hybrid Event
12th - 13th February 2027 | Geneva, Switzerland

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International Conference on Big Data, AI and Information Technology
(ICBDAITY - 27)

12th - 13th February 2027 Geneva, Switzerland (Hybrid Event)

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Call for Paper

The ICBDAITY is committed to addressing global challenges through impactful research and sustainable solutions. It brings together researchers dedicated to advancing knowledge for societal benefit. Focusing on Information Science, Linguistics, Social Sciences, the conference promotes research aligned with global development goals and long-term sustainability. Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Big data ethics and societal implications
  • AI applications in various industries
  • Information technology and innovation trends
  • Data privacy and security challenges
  • Ethics of AI in decision-making processes
  • The future of big data analytics
  • AI and the transformation of work
  • Philosophical implications of artificial intelligence
  • Big data and social responsibility
  • Information systems in healthcare advancements
  • AI in education: opportunities and challenges
  • The role of technology in knowledge creation
  • Big data and environmental sustainability
  • Ethics of algorithmic decision-making
  • AI and cultural transformation
  • Information technology in global development
  • Philosophy of technology and society
  • Big data in public policy formulation
  • AI and the ethics of surveillance
  • Information systems and user experience design
Review & Publication

All submissions will be reviewed for their contribution to global impact and research quality. Accepted papers will be presented and considered for publication in reputed platforms.

Registration

Join participants from around the world by completing your registration and becoming part of a global research community.

Publication

Accepted papers will gain international exposure through conference presentations and publication opportunities.

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