Tabiya creates open-source software, models and standards to help tackle the global youth employment challenge.
We foster research, coordination, and harmonization among partners that create learning and career pathways.
Our vision is to unlock human capital and empower people in informal and formal labor markets.
In the next decade, one billion young people will enter the global labor force. We want to empower them with better data on learning and career pathways.
When jobseekers navigate labor markets, they often find it difficult to translate their experience into marketable skills. Lack of accessible and useful information makes career ladders in low- and middle-income countries particularly slippery.
As jobseekers try to climb up to better opportunities, they frequently fall back into low-wage work, informal self-employment, or unemployment. This traps them in poverty and exacerbates existing inequalities. Women are often particularly disadvantaged.
Improved data systems and AI tools hold promise to create more equitable and more efficient labor markets but often remain inaccessible to stakeholders in low-and middle-income countries.
Commercial solutions dominate the market but raise concerns about contractual lock-ins. We build interoperable and open digital infrastructure that can be used and adapted by anyone.
Labor market data systems typically exclude the thriving and diverse informal sector. This exacerbates existing, often strongly gendered, inequities.
The foundation of all our work is an inclusive taxonomy that captures the full universe of jobs and livelihoods in the formal and informal economy.
Labor markets differ dramatically across contexts and are rapidly changing. Our taxonomy is built so that anyone can transparently “fork off” and update localized versions.
Our APIs can be used to access and update localized taxonomies, so that partners can build applications on top of them.
With our roots at the University of Oxford, we provide a neutral platform for global knowledge exchange and learning.
We want to make recent advances in data and AI-based technologies more widely available while rigorously scrutinizing algorithmic biases.
Partners that help young people find jobs typically use a taxonomy to describe the universe of jobs in an economy and the anatomy of each job. Such a “map” of the labor market can help young people find escalators and elevators to better livelihoods. If the map is incomplete or inaccurate, it may limit young people’s ability to find the right jobs. We aim to expand the map to include the full range of diverse livelihoods that young people pursue, including those in the informal economy.
