About
AI is transforming research by accelerating discovery, deepening analysis, and reducing time spent on repetitive tasks. According to Elsevier's 2025 Researcher of the Future: Confidence in Research report, 58% of researchers now use AI tools as part of their work, yet only 27% believe they have adequate training to use them effectively. As AI becomes an increasingly important part of the research process, understanding where different AI capabilities add value and how to apply them responsibly is becoming an essential skill.

Join us for an expert-led session exploring the differences between generative AI and agentic AI, with practical examples of where each fits across the research workflow: from idea development and literature discovery to evidence synthesis and writing support. We'll also discuss key risks, limitations, and best practices for integrating AI into research while maintaining scholarly rigor. The session concludes with a brief demonstration of LeapSpace™, illustrating how these principles come together in a research-focused AI environment.

Join us on September 9 to explore:
  • How generative AI and agentic AI differ, as well as when each is most effective
  • Practical ways AI can enhance different stages of the research process
  • How to navigate AI's limitations while preserving critical thinking, transparency, and research integrity
  • What responsible, researcher-centered AI looks like in practice
When
Wednesday, September 9, 2026 · 5:00 p.m. Amsterdam (GMT +2:00)
Presenters
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Boglarka Huddleston
Manager of Research & Instruction Services at Lane Medical Library, Stanford School of Medicine
Boglarka Huddleston is the Manager of Research & Instruction Services at Lane Medical Library, Stanford School of Medicine. In this role, she leads a team that supports faculty, students, clinicians, and researchers through literature searching, evidence synthesis, research impact services, and instruction. Her work focuses on helping researchers navigate the evolving scholarly information landscape, including systematic reviews, responsible AI use, and emerging research tools. Boglarka brings a practical, learner-centered approach to instruction and collaboration across the biomedical and health sciences.
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Aleksandra Reda
Principal Product Manager, LeapSpace, Elsevier
Aleksandra Reda is a Product Manager at Elsevier with over 10 years of experience developing products that support researchers across the scholarly publishing workflow. She has worked on ScienceDirect journal pages, peer review and reviewer tools, and currently focuses on Leapspace—an AI-assisted workspace designed to help researchers explore scientific literature and accelerate discovery.
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