Open Source Archives

We strive to facilitate interdisciplinary collaboration and the implementation of progressive and  participatory research methods, with the goal of generating tangible, durable changes in the way research about Haiti is conceptualized, implemented and applied.


Research Hub & Open Source Archives

EKO HAITI Research Hub is a research and knowledge mobilization platform focused on creative, collaborative and interdisciplinary research and associated research-based learning. We aim to become the intellectual “home” for research about Haiti by creating and providing open access to the largest crowdsourced research archive dedicated to Haiti, by fostering cross-disciplinary research and innovation, and by providing support for progressive research in the form of contextual expertise and training.

“The trees fall from time to time, but the voice of the forest never loses its power. Life begins.”

Jacques Alexis, Les Arbres Musiciens (Paris, 1957)
Haiti is the birthplace of a rich literary heritage that deserves more attention. Haitian authors open a window into this Caribbean nation’s vibrant culture and tumultuous history.

EKO HAITI collections include all works, published and unpublished by Anthropologists Gerald Murray, Glenn Smucker and Timothy Schwartz
Dedicated to the late great, Kreyolicious (Katheline St. Fort), our photographs archives holds a large collection of images dating back to the late 1800's .
40 years of development reports, evaluations and survey databases many of which are not publicly available, are buried in drawers, closets, private libraries of NGOs and government donors.


Oral histories are a powerful tool in developing historical understanding

Oral history offers an alternative to conventional history, filling gaps in traditional research with personal accounts of historically significant events or simply life in a specific place and time. Oral histories do more than provide charming details to dry historical accounts. In fact, oral histories help others recapture lived experiences that are not written down in traditional sources.

> Transcripts archive

" Bwa pi wo di li wè lwen, men grenn pwomennen di li wè pi lwen pase l "

The tallest tree says that it sees far, but the seed that travels says that it sees even further.



As an independent institute, we rely on crowdsourcing and donations to continue expanding the depth and scope of our archives.  Your contribution enable us to provide open access to a vast collection of ethnographic and research material which in turn aims at fostering further research and contribute to a better understanding of the country.

Frequency Listing (Freq Listing) is a statistically robust methodology for identifying local leader- experts (notab) and ultimately humanitarian aid beneficiaries. It comes to us from anthropology and mathematical models for studying informal sector and non-literate cultures and rests on the premise of “Culture as Consensus.” More precisely, the premise is that,

a) any given claim by someone who shares knowledge of a cultural-specific category or domain with others has a certain probability of being true,

which gives way to the corollary,

b) the more people who share cultural knowledge of that domain and support the claim, the more likely the claim is true.

This rather simple postulate has profound statistical implications. Anthropologists have used it to create algorithms that, almost as if by magic, are able to generate answer keys for true/false, fill-in- the-blank, and multiple-choice questions (see Textbox 1). This is done without ever knowing what the questions are. Similarly, the same algorithms allow us to identify most knowledgeable experts in unknown domains. For example, we can identify most knowledgeable healers, hunters, farmers, fisherman and, not least of all, beneficiaries for aid programs. Regarding aid programs, exactly who is a beneficiary, can be based on a wide variety of objectives that call for different criteria. If increased agricultural production is the objective, then we target farmers with land. If increased fishing harvests is the objective, then we target fisherman with boats. Freq-listing is useful for these and any other type of targeting. As will be seen, it provides humanitarian aid agencies with a network of reliable key informants located throughout the geographical area of interest. These key informants can be drawn on to identify almost any imaginable category of beneficiary. Freq-Listing offers an alternative to using traditional community based targeting, committees composed of political, economic, and religious functionaries who locals often do not identify as legitimate representatives of the community.