Epistemic Blind Spots: What the Evidence Ecosystem Still Overlooks

Reflections on Indigenous Knowledge, Storytelling, and the Future of Knowledge Use

By Ntam Damaris

Storyteller and Researcher at eBASE Africa | AFRIAK Fellow

There are ways of knowing that do not announce themselves in the language of journals, policy briefs, systematic reviews, or technical reports. They do not wait to be externally validated before they are used. They do not require formatting before they make sense.

They simply work.

They live in the hands of Indigenous knowledge holders. They move through baskets, songs, rituals, plants, language, memory, museums, forests, rivers, and stories. They survive not because they are always published, but because they are used, trusted, tested, and passed down through generations.

This reflection emerges from my participation in the Council for the Development of Social Science Research in Africa (CODESRIA) – African Fellowships for Research in Indigenous and Alternative Knowledges (AFRIAK) – The African Institute in Indigenous Knowledge Systems (AIIKS) Residency Fellowship Programme at the University of KwaZulu Natal in March 2026. The program was intentionally designed to bridge academic research and the lived experiences of Indigenous Knowledge holders, bringing fellows into direct engagement with Indigenous Knowledge Systems across areas such as health, agriculture, climate, language, policy, spirituality, conservation, and community life.

But the deeper value of the residency was not only in the places visited or the lectures attended. Its real significance lies in the questions it raises for the wider evidence ecosystem.

What counts as evidence? Who decides? What kinds of knowledge are made visible, and what kinds are ignored because they do not arrive in familiar formats?

Evidence Beyond Standardization and Formal Validation

The evidence ecosystem often privileges knowledge that is written, standardized, peer reviewed, and institutionally validated. These forms matter. They provide structure, traceability, and accountability. But when they become the only accepted forms of evidence, they create blind spots.

Across Indigenous Knowledge Systems, evidence often looks different. It lives in oral traditions, community practices, rituals, performance, memory, observation, and everyday experience. These forms are not informal leftovers of knowledge. They are structured, meaningful, and deeply embedded in lived realities.

This matters for researchers, policy makers, practitioners, funders, and storytellers because decisions are only as strong as the knowledge systems they are willing to recognize. When evidence systems exclude knowledge because it is oral, embodied, local, or relational, they do not become more rigorous. They become narrower.

The question, therefore, is no longer whether Indigenous knowledge should be included in evidence conversations. The more serious question is:

What does rigor look like when evidence is carried through story, memory, practice, and place?

Rigor Beyond Format

Rigor is often mistaken for format. If knowledge appears in a journal article, a statistical table, a dataset, or a formal report, it is easily recognized. If it appears in a story, a proverb, a healing practice, a farming routine, or a ritual, it is often treated as secondary.

This is one of the evidence ecosystem’s most persistent blind spots.

Rigor is not simply about the form knowledge takes. It is about the process through which knowledge is produced, tested, interpreted, and used. Indigenous Knowledge Systems have their own forms of rigor, even when they do not always use the language of conventional research methodology.

Positionality is one such form of rigor. It asks knowledge workers to be honest about who they are in the research process. What identities, assumptions, privileges, experiences, and limitations do they bring? What do they already believe before they enter a community or interpret a story?

Reflexivity goes further. It requires continuous self-examination. It asks: How is my position shaping what I see? How are my assumptions influencing what I hear? How might my interpretation affect the people whose knowledge I am representing?

Triangulation is also essential. In Indigenous knowledge work, triangulation may involve listening across stories, observing practice, engaging elders, reviewing community memory, comparing experiences, and checking meaning with knowledge holders. It is not done because communities are not trusted. It is done because careful interpretation requires depth.

Community validation is another critical standard. Knowledge must return to those who hold it. Communities should be able to confirm whether their knowledge has been understood faithfully or distorted through external interpretation.

Continuity also matters. Many Indigenous knowledge systems are tested through repeated use over time. They survive because generations have found them meaningful, practical, and relevant.

For the evidence ecosystem, this means that stories should not be dismissed as weak evidence. Stories can carry observation, interpretation, memory, emotion, context, and meaning at once. When they are dismissed, the weakness may not be in the story. It may be in the framework being used to assess it.

Validation, Affirmation, and the Politics of Recognition

A major tension in evidence work is the difference between validation and affirmation.

In dominant research systems, knowledge often becomes legitimate when it is externally validated by experts, institutions, journals, or methodological authorities. In Indigenous Knowledge Systems, knowledge is often affirmed through use, trust, relevance, continuity, and community recognition.

This distinction is not just theoretical. It is about power.

When Indigenous knowledge must first be validated by external systems before it is recognized, communities are positioned as sources of data, while external actors become the arbiters of truth. This risks reproducing the very hierarchies that decolonial and participatory research claim to challenge.

The evidence ecosystem must therefore sit with a difficult question:

Can knowledge be engaged without being subordinated?

This is especially important for methodologies such as Tori Dey, which work at the intersection of storytelling, evidence translation, and lived experience. If Tori Dey is understood merely as a tool for making evidence accessible, its deeper methodological significance is missed. Its strength lies in recognizing that stories are not just vehicles for evidence. They are knowledge systems in themselves.

Beyond Romanticization: Indigenous Knowledge as Practical Science

There is also a risk of romanticizing Indigenous Knowledge Systems. It is easy to speak of Indigenous knowledge as culture, heritage, identity, and tradition. These are important, but they are not enough.

Indigenous knowledge is also practical. It is problem-solving. It is active in the world.

It speaks to climate adaptation, biodiversity, food systems, environmental governance, public health, healing, agriculture, and community resilience. During the residency, engagements with Indigenous healing, conservation spaces, cultural heritage sites, and institutional IKS structures showed that Indigenous knowledge is not frozen in the past. It continues to respond to contemporary challenges.

For policy makers and practitioners, this matters deeply. Communities are not empty spaces waiting for solutions to arrive from outside. They already hold ways of observing, interpreting, and responding to their realities.

The question is not whether Indigenous Knowledge Systems are relevant to today’s challenges.

The question is why evidence and policy systems have been slow to recognize solutions that communities have been using all along.

Have We Defined Science Too Narrowly?

One of the most important reflections for the evidence ecosystem concerns science itself.

Indigenous Knowledge Systems are often treated as cultural knowledge, while science is treated as something separate, formal, and institutionally located. But this separation is too simplistic.

Indigenous Knowledge Systems are built on observation, pattern recognition, experimentation, adaptation, and practical application. Farmers observe soil, water, seasons, animals, crops, and climate patterns. Healers observe plants, bodies, symptoms, responses, and outcomes. Communities test practices over time, refine them, abandon what fails, and transmit what works.

This is science in practice.

The difference is not necessarily in rigor. The difference is often in language, form, documentation, and recognition.

This should concern everyone in the evidence ecosystem. If science is defined too narrowly, many knowledge systems will be excluded before they are even examined.

Language Is Not Just Communication

Language is one of the most underestimated issues in evidence work.

Too often, local languages enter the research process only at the stage of dissemination. Findings are produced in dominant languages, then translated for communities. But Indigenous languages do more than communicate knowledge. They shape how knowledge is conceptualized, organized, remembered, and interpreted.

Some concepts lose depth when they are forced into English or other dominant languages. Local languages carry categories of meaning, memory, place, relationship, and worldview. When knowledge is removed from the language that holds it, the words may remain, but the meaning may shift.

For researchers and knowledge translators, this is a methodological issue, not simply a communication issue.

The question is:

What knowledge becomes inaccessible when people are asked to think only in languages that cannot fully hold their realities?

Digitizing Is Not the Same as Digitalization

The evidence ecosystem is increasingly digital. Knowledge is recorded, archived, translated, uploaded, analyzed, and circulated through digital systems. This creates opportunities, but also risks.

Digitizing converts knowledge into digital formats. This may include recording oral histories, scanning documents, archiving photographs, or storing field notes.

Digitalization goes further. It changes how knowledge is governed, accessed, circulated, interpreted, and controlled.

This distinction matters because digital preservation is not neutral. Once Indigenous knowledge enters digital systems, questions of ownership, access, consent, and benefit become urgent.

Who owns the knowledge once it is digitized? Who controls access? Who benefits when it circulates? Can communities correct, withdraw, reinterpret, or restrict the use of their knowledge?

Without careful ethical grounding, digitalization can become another form of extraction.

Ethics Beyond Consent Forms

Ethics in Indigenous knowledge work cannot be reduced to signed consent forms.

Consent matters, but it is not enough. Ethical evidence work is about relationships, accountability, ownership, recognition, and benefit. It requires community consent, co-ownership of knowledge, proper attribution, and processes that ensure knowledge returns to the communities that share it.

This is especially important for storytellers and researchers. A story is never just content. It belongs to a life, a memory, a place, and a community. To collect a story is to assume responsibility for how it will travel.

The evidence ecosystem must ask:

Is acknowledgement enough? Who is named as a knowledge holder? Who benefits from the knowledge product? Who controls how the story is used? What returns to the community after the report, article, podcast, performance, or policy brief is produced?

These are not administrative questions. They are ethical ones.

Storytelling as a Knowledge System

Storytelling is often treated as a communication tool. It is used to make evidence easier to understand, more relatable, or more engaging.

But this is only part of its value.

Storytelling is also a knowledge system. It carries history, ecological understanding, lived experience, moral reasoning, memory, and context. A story can hold complexity without breaking it apart. It can carry evidence, emotion, relationship, and interpretation together.

For the evidence ecosystem, this is significant. If stories are treated only as tools for dissemination, their epistemic power is reduced. Stories are not merely how knowledge is shared. In many communities, they are how knowledge exists.

This is why storytelling methodologies must be taken seriously. They do not simply translate evidence. They can generate, preserve, interpret, and validate knowledge.

Publication is a Site of Power

Publication is often treated as the final stage of knowledge production. But publication is not neutral.

It determines who is visible, who is cited, who is recognized, who has access, and who benefits. Academic journals matter, but they are not the only legitimate spaces for knowledge circulation. Community archives, podcasts, performances, visual storytelling, exhibitions, local language outputs, and public dialogues also matter.

For the evidence ecosystem, the key question is not only where knowledge is published. It is also whether knowledge remains meaningful and accessible to those from whom it emerged.

If knowledge does not return to communities in useful forms, it remains incomplete.

Reflexivity: The Work Within the Work

The evidence ecosystem often emphasizes methods, tools, frameworks, and outputs. But there is also inner work required.

Engaging Indigenous Knowledge Systems requires humility. It requires recognizing that our training has shaped what we consider credible. It requires noticing what we dismiss too quickly, what makes us uncomfortable, and what assumptions we bring into knowledge spaces.

This is reflexivity.

Without reflexivity, we risk interpreting without understanding. We risk translating communities into our frameworks instead of allowing their frameworks to challenge ours.

Reflexivity is not a soft addition to rigorous work. It is part of rigor itself. 

A Closing Reflection for the Evidence Ecosystem

The issue is not that Indigenous knowledge is missing.

The issue is that many evidence systems have not been listening in the right ways.

Indigenous Knowledge Systems do not need to be rescued. They need to be respected, engaged, credited, protected, and allowed to speak in their own terms.

For researchers, this means expanding what counts as evidence.

For policy makers, it means recognizing community knowledge as a serious resource for decision-making.

For practitioners, it means designing interventions with knowledge systems that already exist.

For storytellers, it means treating stories not as decoration, but as knowledge.

For funders and institutions, it means supporting ethical, community-centered, and contextually grounded knowledge work.

The question that remains is simple, but not easy:

Are we ready to listen differently?