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LINAS Conference 2026: Synergizing AI Research

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About this event

What to expect

The LINAS Conference 2026 brings together PhD students and early career researchers from diverse disciplines to explore the cutting edge of AI research at Queen's University Belfast. Taking place on April 20, 2026, this student-led event offers a unique platform for interdisciplinary collaboration, featuring keynote addresses from Prof. Elke Schwarz and Prof. Brooke Simmons.

What to Expect

This full-day conference (8:30 AM - 5:30 PM) at the historic Lanyon Building focuses on synergizing AI research across multiple domains. The event is specifically designed for PhD students and early career researchers looking to connect their work with broader applications and ethical considerations in artificial intelligence.

Topics and Themes

Presentations will cover a wide spectrum of AI applications and considerations:

  • Ethics and Governance of AI — exploring the societal implications and regulatory frameworks
  • AI & ML in Scientific Research — examining how machine learning accelerates discovery
  • Human-Machine Collaboration — investigating the future of work and interaction
  • Responsible Algorithmic Science and Innovation — ensuring AI development serves the public good
  • AI and the Law — navigating legal frameworks and intellectual property
  • AI, Creativity and the Arts — pushing boundaries in creative expression
  • Algorithmic Security — addressing vulnerabilities and safeguards
  • AI in Fintech — transforming financial services and markets
  • AI, Knowledge and Learning — revolutionizing education and knowledge management
  • AI and Healthcare — advancing diagnosis, treatment, and patient care

The conference welcomes presentations on any topic related to the overarching theme of synergizing diverse AI expertise, even if it falls outside these specific categories.

Who Should Attend

This event is ideal for PhD students and early career researchers from various disciplines who want to:

  • Present their AI-related research to an interdisciplinary audience
  • Learn from peers working on complementary problems
  • Network with researchers across different fields
  • Gain exposure to ethical and governance considerations in AI
  • Explore collaboration opportunities

Organized by The Leverhulme Interdisciplinary Network on Algorithmic Solutions (LINAS), this conference represents a rare opportunity for emerging researchers to engage wi

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