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Knowledge hub

Public thinking, evidence, and operating tools from the work

LevelUp publishes frameworks, case studies, and field notes that help partners understand the thinking, evidence, and operating logic behind the work.

Illustration of a busy public plaza — market stalls, people working and cycling, solar panels, wind turbines, and a civic building

5 entries · 5 types

Everything we have published

Written for funders, employers, institutions, and partners who want depth before they engage. Each entry is labelled with what it is, so you can tell a framework from a field note before you open it.

Framework

The LevelUp model

The model in two layers — the broader regional system that has to hold, and the delivery cycle that turns that system into visible progress.

Core model · System architecture · Delivery logic

Case study

Closing the AI talent gap with employers at the table

How AI.SPIRE and Darb.Tech address the gap between AI interest and applied capability by involving employers in curriculum design, capstone projects, and the wider adoption work needed to turn training into economic value.

Amman, Jordan

Talent systems · Applied delivery · Employer co-design

News

AI.SPIRE reaches a public launch milestone

AI.SPIRE's public launch makes LevelUp's Applied AI and ML Systems pathway visible in the world — and gives partners a concrete entry point into the wider program architecture.

Initiative update · Public proof · Partner signal

Convening

The regional systems roundtable

A convening format that brings governments, employers, funders, educators, and builders into one conversation about growth conditions, delivery constraints, and what stronger coordination should unlock next.

Roundtable · Multi-stakeholder · Ecosystem alignment

Field questions

Questions from the field

Short answers to the questions partners, funders, employers, and institutions ask when economic development work moves from concept to implementation.

Partner orientation · Field notes

Next step

Start a conversation about the work

These pages explain how the model fits together. The next step is usually a conversation about what it would take to run it where you are.