Empowering a Million in Deep Tech
Spearheaded by the European Institute of Technology (EIT), Europe’s largest innovation ecosystem, the Deep Tech Talent Initiative (DTTI) aims to deliver comprehensive training in emerging technologies, cultivating a workforce ready for the future of deep tech.
We have played a pivotal role in this initiative by designing a radar that not only visualizes relevant courses and partners but also serves as a strategic framework for organizing complex data. This tool makes deep tech education more accessible, creating an engaging user experience that encourages exploration and learning. Our collaboration with DTTI focuses on creating a seamless interface, facilitating easy navigation through a diverse range of deep tech courses and resources.
Our Work
- Developed in partnership with the EIT community to support deep tech education.
- Showcased 60+ use cases, anchoring technology in real-world scenarios.
- Explored emerging trends and key players transforming the digital landscape.
- Featured DTTI pledgers and courses with a live, dynamic database.
- Integrated a custom Business Readiness Level (BRL) metric for assessing commercial viability.
Impact
- Crowdsourced use cases directly from the community, enriching the radar with practical applications.
- Provided stakeholders with a tool to track real-time updates on DTTI pledgers and courses.
- Enhanced accessibility and engagement through a user-friendly interface.
The radar's data architecture is designed to display DTTI’s pledgers and courses, organized through dynamic pages dedicated to Deep Tech Fields. Each course and pledger is linked to a dynamic list, updated in real-time from the client’s database, ensuring up-to-date content for users.
In addition to the familiar Technology Readiness Level (TRL), we introduced a unique Business Readiness Level (BRL) metric for this project. This metric helps assess the commercial viability of technologies, allowing stakeholders to identify business opportunities by analyzing the gap between technical maturity and market readiness.
Building upon the Deep Tech Fields defined by DTTI, we scouted our technology database to include tangible and detailed examples for the radar. The goal was to create a compelling mix of cutting-edge solutions and established technologies, catering to a wide range of audiences—students, enterprises, training providers, and investors. AI-generated images added a visual layer that enhanced user engagement. Our research process involved continuous feedback cycles with DTTI, refining the tech selection and ensuring high content accuracy.
To ensure a collaborative approach, DTTI engaged their pledgers in workshops, where they contributed real-world and speculative use cases to enrich the radar. These crowdsourced use cases offer valuable insights into how deep tech can be applied in various sectors. Additionally, visitors to the site can submit their own use cases, with the content management process overseen by DTTI.
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