Frontier Methods for Economics Teams
We design and deliver training programmes for economists, statisticians, and data teams who want to adopt frontier AI and computational methods. Our workshops are practical, hands-on, and grounded in real applications.
The Challenge
AI Tools Without AI Understanding
Economics teams are adopting AI tools without understanding their strengths, limitations, or appropriate use cases. This leads to misapplication and unreliable outputs.
Reproducibility Crisis
Research teams produce analysis that cannot be replicated, verified, or extended by colleagues. Version control, containerisation, and documentation practices lag behind other quantitative fields.
Cloud Skills Gap
Large-scale data processing requires cloud infrastructure that most economics teams have never used. The gap between desktop tools and production-grade data pipelines is widening.
Our Approach
Needs Assessment
We assess your team's current capabilities, tools, and analytical needs to define learning objectives.
Programme Design
We design a hands-on curriculum using your team's actual data and tools where possible.
Delivery
Interactive workshops combining instruction with practical exercises. Typically 1–5 days.
Follow-Up
Post-workshop support, reference materials, and follow-up sessions to ensure adoption.
Needs Assessment
We assess your team's current capabilities, tools, and analytical needs to define learning objectives.
Programme Design
We design a hands-on curriculum using your team's actual data and tools where possible.
Delivery
Interactive workshops combining instruction with practical exercises. Typically 1–5 days.
Follow-Up
Post-workshop support, reference materials, and follow-up sessions to ensure adoption.
Capabilities
AI for Economics
Practical training on using LLMs, NLP, and generative AI for economic data construction and analysis. We cover prompt engineering, model selection, and validation strategies specific to economic data.
Cloud Computing
Hands-on workshops for setting up and using cloud infrastructure for large-scale data processing. We cover AWS, GCP, and Azure with a focus on economics workloads.
Reproducible Workflows
Best practices for version control, containerisation, and documentation in research teams. We teach Git, Docker, and modern documentation tools tailored for economists.
Custom Programmes
Bespoke training designed around your team's specific tools, data, and analytical needs. We work with your actual projects to ensure immediate applicability.
AI Tools for a National Statistics Office
We designed and delivered a custom training programme for a G20 national statistics office, equipping their team to use large language models for automated data extraction from survey responses and administrative filings.
Want your team to work with frontier tools?
Tell us about your team's needs. We will design a programme that builds real capability.
Typical response time: 24 hours