Hyewon Nina Koo is passionate about examining the effects of medications/treatments, estimating the risks of disease occurrence and providing personalized patient care in the pharmaceutical and healthcare industry.
AI and Self-Service Access to Real-World Data in Clinical Research
Leadership, Method, and Accountability in an Accelerating Era
Time to ground, connect and a strong cup of coffee
Time to ground, conntect and a strong cup of coffee
an interactive session for both practitioners and academics (10:00-12:30)
Insightful perspectives relevant for many industries
Format: Curated dialogue + audience interaction
What would change if the success of artificially-intelligent driven research were measured by the risks it prevents, not only the breakthroughs it produces?
Opening Dialogue
A forward-looking pre-workshop dialogue
Curated dialogue with audience interaction
Cross-Functional Intelligence and Intent Engineering
The Conditional Impact of AI on Innovation Performance
AI can scale safety insights—but only high-quality data, interoperability, and expert judgment make them trustworthy.
a cross-industry panel that turns insight into direction
Rethinking AI, Expertise, and Innovation in Research-Intensive Organizations
An example from the Health Industry - relevant for everyone
Warm welcome to the CLAIR Conference by Mats and Luciano
A short scientific introduction
Vision as Competitive Advantage in the Age of AI
by Mats Sundgren
Coffee Break
How R&D leaders can turn AI's potential into better science and stronger organisations — a practical Leadership Framework for AI in R&D, from someone who led global pharma R&D.
Will AI make scientific research more creative, or simply more efficient? Revisiting Creative Equilibrium and proposing foundations for a Leadership Framework for AI in Research.
A more detailed description will follow.
A “previously on CLAIR” crash course: the 16 questions, evidence from two manuscripts in progress, and what a practical leadership framework should look like. The audience votes and the talk follows their choices.