Leonardo Centre Data Lab

The Data Lab operates a scalable DataOps engine supporting all Leonardo Labs and their collaborators through rigorous sustainability datasets. We've achieved 30% dataset expansion this year, powered shareholder returns research, and established partnerships with DSI and AI consultancies. Our goal is fourfold expansion by 2027, creating the world's most impactful sustainability data engine.

Key themes and objectives

• Deliver: Rigorous, monetisable sustainability datasets that power research and business decision-making for sustainability. 
• Transform: Scattered corporate sustainability data into structured, actionable intelligence.  
• Connect: Link academic research with real-world business and policy applications.  
• Accelerate: Fourfold expansion by 2027 to meet the scale of global sustainability transition.
• Validate: Maintain the highest academic standards through peer review and quality assurance. 
• Support: All Leonardo Labs with data infrastructure, analytics, and collaborative tools.

Over the past 12 months, our data team has: 

• Expanded dataset by 30%, unlocking richer sustainability insights.
• Deployed a new text tool for finding finer-grained behavioural patterns.
• Automated visual dashboards now track sustainability maturity across industries and countries.
• Developed processes increasing automation efficiency to 60%, maximising the use of historical data.
• Machine learning models, co-developed with Imperial’s Data Science Institute, offer new analytical depth.
• Introduced cloud-native infrastructure and processes, improving scalability and speed.
• Automated scripts that now generate data-driven visualisations tracking the evolution of sustainability maturity across industries and countries, providing a clearer picture of global progress.