Why this work exists

The question

This page sets out the conditions DreamSpace Academy thinks are producing the problem. Each one is written as a condition, because a condition can be tested.

Where the evidence differs by region, the page says so. Where it does not, no regional story is added to make the case sharper.

Seven conditions

1. The capability to run services locally is thin

Conflict and enclave economics left these regions with services rather than with the ability to run them. When a funded programme ends, the capacity to run the next one does not stay behind.

The peacebuilding literature supports the shape of this claim from a different angle. In post-war Jaffna, formal schooling was found inadequate to the central work of reconciliation, while non-formal community education had the potential but could not reach the structural inequalities underneath[67]. Across the wider case set, relationship- and trust-building were observed only in non-formal education, led mostly by civil society[65].

The Sri Lankan literature argues for combining in-school and non-formal provision, because the formal system does not reach every child and civil-society organisations have little room to operate on their own[66].

2. The state has promised more than it can deliver in rural schools

Sri Lanka’s curriculum reform makes ICT and Entrepreneurship & Financial Literacy compulsory essential subjects in Grades 6–9 for the first time. It phases in from 2026 with Grades 1 and 6, and reaches the full band by 2029[61, 62].

The capacity to deliver that was never built. About 19% of the least-resourced school types have an IT lab, against 72% of the top tier, and the technology-stream student-to-teacher ratio runs at 35.3 against a national average of 12.8[63]. In households in the estate sector, computer ownership is a little over one per cent[58].

This is read here as a demand signal rather than a competitive threat. The state has committed to something it cannot yet deliver rurally, which creates a partner position, and decentralising support infrastructure is itself a stated national priority, so this is execution of a policy rather than a request for an exception to one.

3. Training on its own does not lead to income

Skill is not the missing input. What is missing is what has to sit alongside it: finance, market access, introductions and support that continues. This condition is set out on its own below.

4. There is no local hub, so people leave

The innovation ecosystem is concentrated in Colombo, early-stage capital is structurally scarce, and no Sri Lankan cluster appears among the world’s ranked innovation clusters. Domestic venture capital is immature, so young companies run on bootstrapping, angel money or foreign grants. That is a property of the ecosystem before it is a property of any organisation working inside it.

Skilled emigration is scored nationally as a medium-term drag on growth[60]. The academy's own record shows movement in both directions: people who stayed and founded businesses locally, and people who left under household economic pressure and later came back. Talent circulates; it is not simply lost.

5. Most programmes start too late

Entrepreneurial capability is developmentally banded. Children cannot cleanly separate capital ownership from labour until roughly ages twelve to thirteen[44], profit understanding arrives in middle childhood but is gated on a prerequisite that has to be taught[45], while saving is accessible from about six in a concrete, playful setting[43]. The most on-point trial, with roughly 2,751 children aged eleven and twelve, found robust gains on non-cognitive entrepreneurial skills, none on business knowledge, and a negative effect on stated entrepreneurial intentions[39].

The academy reached this conclusion from its own record before finding the literature. Starting at eighteen and over proved too late for lasting change, which is why the work moved down into schools.

6. Learners are less ready than enrolment suggests

The binding constraint on delivery is not equipment, connectivity or curriculum. In one selected group, five of about fourteen students could reproduce a demonstrated program and none wrote one independently. The fastest finishers could not explain why the skills mattered. A trainer looking across many sessions put it plainly: fewer than one in ten students were ready for the planned content, and the biggest problem was not facilities, laptops, internet or tools. It was the gap between what learners could already do and what the session assumed. Attendance drops at the point complexity arrives.

Other studies say the same. How much teaching someone gets is decisive: a single workshop produced no significant gains where a multi-session programme did[40]. Financial education moves knowledge far more than it moves behaviour. The regional picture is sharper still. Estate-sector literacy is falling, and almost all internet access there is by smartphone. A group that has never used a desktop operating system does not need the advanced module.

This is why more programmes is the wrong answer. Adding delivery on top of an unmeasured baseline reproduces the same decay. The answer is a measured intake baseline, basics-first sequencing, and enough dose to matter.

7. Nobody is producing the evidence that would settle this

There is no clean result anywhere linking a rural makerspace to durable income. Sri Lanka does not appear in the maker-education literature at all. There is no Sri Lanka-specific impact evidence on early-age entrepreneurship education, only policy intent, and the nearest usable evidence comes from Rwanda, whose transfer to post-conflict, multilingual, rural Sri Lanka is untested. The only sub-national Sri Lankan study of start-ups covers the Northern Province; there is no Eastern or estate-belt equivalent.

That is part of the problem, not just an inconvenience for reporting. Funders put money where there is measurement, so an unmeasured region stays an underfunded one, which feeds the fourth condition above.

Training alone is not the mechanism

The third condition is the one that changes what an organisation should build.

The evaluation literature reaches the same verdict from the other direction. Training on its own is null-to-modest and often fades: only about 29% of short-term earnings estimates are positive, a meta-analysis across thirty-seven evaluations found no immediate translation into business set-up or increased income, and the most rigorous skills trial shows effects fading by twelve to fifteen months[55, 56].

Training plus something alongside it performs differently. A job referral produced a large earnings gain where training alone had done nothing. One-off capital faded over years, while multi-component bundles, capital, training and sustained supervision together, produced durable gains. And making specifically has been found to foster only some entrepreneurial skills unless explicit programmes and incubation are layered on top of it[6, 32].

That turns the weakest claim in this model into a design specification with a known failure mode: run training without those other inputs, and the gain fades on a timetable the research can already predict. It is why the model is built as an ecosystem, with finance, bridging and contact over several years in it, rather than as a course.

Those inputs are called couplings on this site: the things that have to sit alongside training before it turns into a livelihood. There are four, money, market access, introductions, and contact that continues after a programme ends.

What is not being said

• Not that aid, or grant money, is the problem. Grant funding is one of the three sources that pay for this work, and the site says so.
• Not that outside knowledge is the problem. Bringing the world in is half of what the academy commits to. The person solving the problem has to be local. The tools, capital and expertise do not.
• Not that the North and East are the worst-off part of the country on unemployment. They are not, and the labour-force data says so plainly. The claim here is about how the war reshaped communities, economies and environments, which is a different statement, and a defensible one[57].
• Not that any of this is unique to Sri Lanka. Most of these conditions are recognisable across the global South. What is local is the particular combination, and the absence of anybody measuring it here.

What follows from it

Each condition points at a different part of the model, which is why the model runs in more than one stream.

• Thin local capability, build people rather than deliver to them.
• A thin state delivery layer, work inside government schools, and train the teachers, principals and preschool teachers who stay after the academy leaves.
• The missing couplings, finance, market access, introductions and long contact.
• No local hub, build one.
• The missing evidence, treat research as one of the outputs rather than as overhead.

How those fit together, and how well each is evidenced, is set out in the theory of change.