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International Conference on Big Data Governance and Ethical Challenges

📅 24–25 Feb 2027 📍 Taipei City, Taiwan 👤 Standard / Listener

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$165

virtual · $165 in person

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Official invitation letterIssued automatically after registration
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Certificate & digital materialsCertificate, slides and resource materials
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Supporting global researchConnect with researchers across 30+ countries

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Conference session tracks

Key research areas covered across the sessions — tap a track to read more.

This track explores the frameworks and methodologies for effective big data governance in organizations. It emphasizes the importance of establishing clear protocols for data management, compliance, and ethical considerations.

This session addresses the ethical challenges posed by data analytics in business contexts. Discussions will focus on responsible data usage, transparency, and the implications of algorithmic decision-making.

This track examines the evolving landscape of regulations governing data privacy and security. Participants will analyze compliance strategies and their impact on organizational practices.

This session focuses on identifying and mitigating risks associated with data analytics in business. It will cover frameworks for assessing data-related risks and implementing effective risk management strategies.

This track delves into best practices for ensuring data privacy and security in the age of big data. Participants will explore innovative approaches to safeguarding sensitive information while maintaining accessibility.

This session highlights the role of machine learning and predictive modeling in enhancing business decision-making. Discussions will include case studies demonstrating successful applications and ethical considerations.

This track focuses on the integration of diverse data sources to enhance business intelligence capabilities. Participants will explore techniques for effective data integration and its implications for decision support.

This session addresses the governance of artificial intelligence systems in business applications. It will discuss frameworks for ensuring accountability and ethical use of AI technologies.

This track emphasizes the importance of responsible analytics practices in business environments. Participants will discuss strategies for ensuring ethical data usage and fostering a culture of accountability.

This session explores the critical role of data quality and stewardship in effective data governance. Discussions will focus on methodologies for maintaining high data standards and the impact on business outcomes.

This track examines the ethical challenges and governance issues associated with cloud-based analytics solutions. Participants will analyze the implications of cloud technologies on data privacy and security.