Finding Our Place in the Age of AI
AI can generate 20 journey maps in a minute, but someone still decides which matters. Aspen Snow on the UX researcher’s shift from conducting research to orchestrating understanding.
What does the FAIR data ecosystem look like in 2036?
36 pharma and life science experts mapped the future of the FAIR data ecosystem in a room in London. Here is what they found, and what it means for your data strategy.
The Blind Spots of Explainable AI
Once anyone can spin up an AI agent, the challenge isn’t explaining how AI decides, it’s designing what role it plays. Stijn Janssen proposes a new discipline: Actor Experience.
Introducing a New Book Club for Pistoia Alliance Members
Calling all Pistoia Alliance members — we’ve got a new book club idea, and we want your input before we get it off the ground.
Pistoia Alliance launches IVP Assay Repository to improve reproducibility
The In Vivo Pharmacology Project has launched version 1.0 of the IVP Assay Repository, a FAIR-aligned platform developed through cross-industry collaboration to standardize assay data and streamline information exchange.
Pistoia Alliance publishes first best-practice framework for ethical social media use in drug development
Alliance calls for funding and expertise for the next phase of its social media project, marking its first direct engagement with oncology, rare disease and cardiology patients
2026 Data Science Talent Awards – Shortlist Announced
Celebrating excellence in data science, the 2026 shortlist highlights rising stars and pioneering teams transforming life sciences research.
Pistoia Alliance and Allotrope Foundation Sign New Collaboration Agreement to Advance FAIR Data Standards
The new agreement will support FAIR data creation and interoperability, combining data standards expertise and real-world implementation to accelerate scientific insights.
Quantum Computing adoption in life sciences will be driven by collaboration not hype
The Pistoia Alliance, IBM, Wellcome Sanger Institute, J&J share insights into the development of quantum computing
Pistoia Alliance research finds 1 in 4 life sciences professionals do not know what data their AI models use
A new poll highlights major gaps in scientific data, governance and skills, as experts warn incomplete evidence is undermining AI reliability across life sciences R&D.
AI/ML Challenges in Pharma Research & Development
Please help us identify and prioritize pre-competitive AI/ML challenges and opportunities in Pharma R&D.
May 2025 Pistoia Alliance Newsletter
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