AI World

AI World is a data-driven platform that maps the development of Artificial Intelligence across European countries. Backed by a Google-funded think tank and recently featured by Harvard, the platform aims to inform policymakers, researchers, and the public on Europe’s AI capabilities and efforts.

I led the UX/UI design end-to-end — from initial ideation and branding to final delivery — working closely with data scientists and developers to transform raw datasets into a compelling and user-friendly experience.

The challenge

The think tank had extensive datasets on AI policies, infrastructure, and institutions, but no clear vision on how to translate this into an engaging public platform.

Key questions
laptop with hero

Design approach

Content Ideation + Information Architecture

Worked closely with data scientists to understand the structure and significance of the datasets.


Co-defined what content should be shown and how (maps, comparisons, timelines, etc.)


Created early wireframes to explore hierarchy and navigation logic.

Branding & Visual Identity

Designed the full visual identity from scratch: logo, typography, color palette, UI components.


Balanced institutional credibility with approachability through clean, minimalist design choices.

UI Design & Prototyping

Delivered high-fidelity mockups and an interactive prototype to communicate intended interactions and navigation.


Ensured visual clarity across charts, maps, and responsive layouts.

Implementation Collaboration

Delivered high-fidelity mockups and an interactive prototype to communicate intended interactions and navigation.


Ensured visual clarity across charts, maps, and responsive layouts.

wireframes

Typography & Colors

Scandia Uppercase
Scandia Regular
Icons

Impact

  1. 3,000+ new LinkedIn followers in the first 6 months

  2. Featured by Harvard as a key AI policy resource

  3. Created a platform that translates technical data into a clear, public-facing story

High fidelity mockups
Landing and profile page
search engine

Takeaways

  1. Collaborate effectively with data teams

  2. Design flexible UI systems for complex content

  3. Translate abstract datasets into compelling, accessible experiences

  4. Align product, content, and branding strategy in real time

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