Reason over a Climate Policy Knowledge Graph for an EU Think Tank
Overview
What this challenge is about.
Build a climate policy knowledge graph with a rules engine and CLI, then run 10 queries in a notebook to earn your verifiable certificate.
The scenario
The think tank (around 25 researchers, EU-funded) competes on the credibility of its analyses; sourced, traceable answers (not opaque LLM outputs) are part of its institutional positioning.
The Brief
What you'll do, and what you'll demonstrate.
Build a knowledge-graph reasoner over EU climate-policy data with explicit derivation traces.
Earning criteria — what you'll demonstrate
- Design a knowledge-graph schema for a real policy domain
- Implement compositional rule-based reasoning with derivation traces
- Translate user questions into structured queries
- Communicate the design choices behind a knowledge representation
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Artificial Intelligence: Principles and Techniques
Master · Ai Systems
Strong alignment
This challenge maps to Artificial Intelligence: Principles and Techniques at the Master level. It sharpens the same practical skills your coursework expects — but in a real industry context with actual constraints and deliverables.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
- Knowledge Graphs
Apply knowledge graphs to solve real industry problems and demonstrate production-level capability.
- Knowledge Representation
Apply knowledge representation to solve real industry problems and demonstrate production-level capability.
- Rule Based Reasoning
Apply rule based reasoning to solve real industry problems and demonstrate production-level capability.
- Python
Write clean, efficient Python for data processing, automation, and backend services.
- Rdf Sparql
Apply rdf sparql to solve real industry problems and demonstrate production-level capability.
- Data Modeling
Apply data modeling to solve real industry problems and demonstrate production-level capability.
Careers
Career paths this challenge builds toward
Completing this challenge demonstrates skills that transfer directly to these roles:
AI Engineer
Designing and shipping a working knowledge-graph reasoner with provenance is the AI engineer's craft in any policy- or research-tech org.
This challenge sharpens
- knowledge-graphs
- rule-based-reasoning
- python
AI Solutions Architect
Translating a domain into a reasonable knowledge representation is exactly the bridge a solutions architect builds between subject experts and code.
This challenge sharpens
- knowledge-representation
- data-modeling
- rdf-sparql