Why Good Research Dies on the Shelf: Bridging Uganda's Evidence-to-Action Gap
Introduction
Uganda has no shortage of research.
Universities, government institutions, development organizations, businesses and independent researchers continuously generate evidence on some of the country's most important challenges—from education and healthcare to agriculture, employment, governance and economic development.
Uganda has also invested in institutions designed to strengthen its research and innovation ecosystem. The Uganda National Council for Science and Technology (UNCST), for example, is mandated to coordinate and regulate scientific research and technological development in the country. Its systems support the registration and management of research activity across Uganda.
Yet an important question remains:
How much of the knowledge we generate actually changes the decisions institutions make and the way they operate?
This is the evidence-to-action gap: the distance between producing credible knowledge and using that knowledge to improve policy, programmes, services and institutional performance.
At Kumba Education Center, we believe closing this gap should become a central part of Uganda's institutional development agenda.
1. Uganda's Research Ecosystem Is Growing
Uganda's research landscape has developed considerably over time.
Research is being conducted across universities, government agencies, hospitals, non-governmental organizations and other institutions. The National Planning Authority, for instance, maintains a substantial collection of policy documents, research publications, evaluations and planning resources intended to support evidence-informed national development.
There is also growing recognition that research should be more accessible and usable.
In 2025, UNCST published Uganda's Open Science Policy, which seeks to promote greater accessibility, transparency, collaboration and sharing of scientific knowledge. The policy highlights areas including research infrastructure, human capacity, governance and sustainable investment in the research ecosystem.
These developments represent important progress.
But producing and making research available is only one part of the process.
The more difficult question is whether institutions can find, understand, evaluate and apply the knowledge available to them.
2. The Problem Is Not Simply a Lack of Research
It is tempting to interpret development challenges as evidence that more research is needed.
Sometimes it is.
But more research does not automatically produce better decisions.
An organization can possess hundreds of reports and still make decisions without consulting them.
A government agency can commission an evaluation without substantially changing the programme being evaluated.
A university can conduct research on student outcomes without incorporating the findings into institutional planning.
An NGO can document lessons from a project without transferring those lessons into its next programme.
The issue, therefore, is not simply knowledge production.
It is knowledge utilization.
This distinction is fundamental.
Research creates evidence.
Institutions create impact when they know what to do with that evidence.
3. From Research to Results: Where the Gap Appears
The journey from research to impact is not automatic.
A useful way of thinking about it is:
Research → Evidence → Interpretation → Decision → Implementation → Evaluation → Learning
A breakdown at any point can weaken the entire process.
Research
A relevant question is investigated using appropriate methods.
Evidence
The research produces credible findings.
Interpretation
The findings are understood in relation to the organization's context.
Decision
Leaders and policymakers use the evidence alongside other considerations to determine what should be done.
Implementation
The decision is translated into programmes, policies, systems or practices.
Evaluation
The results are assessed.
Learning
The institution uses what it has learned to improve future decisions.
If research ends at publication, only the first part of this chain has been completed.
4. Evidence Does Not Automatically Become Policy
The relationship between research and policy is particularly complex.
Policy decisions are influenced by more than evidence. Political priorities, available resources, institutional interests, public expectations, timing and implementation constraints can all influence what governments ultimately decide.
This means researchers cannot reasonably expect that producing a strong report will automatically result in policy change.
However, it also means that researchers and institutions need mechanisms that allow evidence to enter decision-making processes effectively.
Research must be:
- relevant to real decisions;
- communicated clearly;
- accessible to the people who need it;
- available at the right time;
- translated into practical implications.
Ugandan research on evidence use in policymaking has similarly highlighted the importance of relationships between researchers and policymakers in improving evidence uptake.
The lesson is important:
Research impact depends not only on the quality of evidence, but also on the systems through which evidence reaches decision-makers.
5. The Accessibility Problem
A 200-page research report may be methodologically excellent.
But it may not be the most useful format for a busy policymaker, hospital administrator, university leader or business executive.
Different audiences need different forms of knowledge.
A researcher may need the full methodology and statistical analysis.
A policymaker may need the key findings, implications and policy options.
A manager may need recommendations that can be implemented within existing systems.
A community organization may need practical guidance in accessible language.
This is why knowledge translation matters.
Making research available is not enough.
We must also make it usable.
Uganda's move toward open science is therefore important because accessibility provides the foundation upon which broader research utilization can be built.
6. The Institutional Dimension
The evidence-to-action gap is ultimately an institutional challenge.
An individual researcher may understand the findings.
An individual manager may appreciate their importance.
But if the organization lacks processes for incorporating evidence into planning, budgeting, monitoring and decision-making, the knowledge may never influence institutional behaviour.
A learning institution behaves differently.
It asks:
- What do we know?
- What don't we know?
- What evidence already exists?
- What does the evidence tell us?
- What should we change?
- What happened after we changed it?
- What have we learned?
Research therefore becomes part of the organization's institutional memory.
The institution does not simply produce knowledge.
It learns from it.
7. The Cost of Not Using What We Know
Failure to use evidence has consequences.
When institutions do not systematically learn from research and experience, they risk:
- repeating avoidable mistakes;
- investing in ineffective interventions;
- making decisions based primarily on assumptions;
- losing lessons when projects end;
- duplicating research unnecessarily;
- failing to identify what works;
- weakening institutional memory.
For a country working with finite financial and human resources, these inefficiencies matter.
The value of research should therefore not be judged exclusively by the completion of a study.
A more meaningful question is:
What became possible because the research was conducted?
8. Rethinking the Purpose of Research
Research should begin with a clear understanding of the problem it is intended to help solve.
This does not mean restricting research to questions with immediate commercial or policy applications. Basic and exploratory research remain essential to the advancement of knowledge.
Rather, when research is commissioned or conducted specifically to inform an institutional decision, its intended use should be considered from the beginning.
This means asking:
What decision are we trying to improve?
Who needs the evidence?
What evidence already exists?
What information is missing?
How will the findings be communicated?
How will the organization respond to the findings?
How will we determine whether the response worked?
These questions turn research from a standalone activity into part of an institutional learning cycle.
9. Kumba's Position
At Kumba Education Center, we believe that research should be designed not only to generate knowledge, but to strengthen the capacity of institutions to make better decisions.
Our approach is therefore grounded in a simple principle:
Research creates value when evidence becomes useful knowledge, useful knowledge informs decisions, and decisions lead to measurable improvement.
This requires attention to the entire research-to-action process.
We believe in research that:
Identifies the right questions
Research should respond to meaningful problems and decision needs.
Produces credible evidence
Methods and analysis must be rigorous enough to support responsible conclusions.
Translates findings into usable knowledge
Evidence must be communicated in forms appropriate for its intended audience.
Supports informed decisions
Research should help leaders understand their options, risks and opportunities.
Connects evidence to implementation
Where appropriate, findings should inform programmes, policies, systems and organizational practices.
Creates opportunities for learning
Institutions should evaluate what happened and incorporate lessons into future decisions.
10. From Research to Institutional Learning
This leads to a broader framework for institutional development:
RESEARCH
Identify important questions and generate credible evidence.
↓
EVIDENCE
Interpret findings and establish what they mean.
↓
ACTION
Translate evidence into decisions, policies, programmes or organizational changes.
↓
MEASUREMENT
Assess what happened as a result.
↓
LEARNING
Capture lessons and improve future decisions.
↓
RESEARCH
Return to the questions that remain unanswered.
This is a cycle rather than a straight line.
And that is precisely the point.
A learning institution never considers knowledge to be finished.
11. What This Means for Uganda
Uganda's continued investment in research, science, technology and innovation is important.
But investment in knowledge production should be accompanied by investment in knowledge utilization.
That means strengthening the connections between:
Researchers and policymakers.
Universities and industry.
Evidence and institutional planning.
Research and implementation.
Evaluation and organizational learning.
The objective should not simply be a larger volume of research.
It should be a research ecosystem in which knowledge is more effectively converted into better decisions and stronger institutions.
Conclusion: The Report Is Not the Destination
Good research deserves more than a publication date.
It deserves to be understood.
It deserves to be debated.
It deserves to inform decisions.
And where appropriate, it deserves to change practice.
Uganda does not need to choose between producing more research and using the research it already has. Both are necessary.
But if research remains disconnected from decision-making, its potential value remains unrealized.
The ultimate purpose of research is not the report.
It is what the report makes possible.
At Kumba Education Center, we believe Uganda's institutions can become stronger when they develop the capacity to continuously generate, understand, apply and learn from knowledge.
Because the journey should not end with:
"The research is complete."
It should continue with:
"What will we do differently because we now know this?"
That is where research becomes institutional learning.
And that is where knowledge begins to create lasting value.
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