Why the EDAM Consortium was established
Ethiopia has made significant progress in public health research over the past decade, particularly in disease control, maternal and child health, nutrition and gender equality. At the same time, growing volumes of health data have created new opportunities to improve planning, forecasting and policy development.
However, challenges remain.
Health information systems are often fragmented across programmes and institutions, making it difficult to integrate data and generate comprehensive insights for decision-making.
Analytical capacity varies across organisations and regions, limiting the ability to fully utilise available data and apply advanced analytical approaches.
National datasets do not consistently capture or report sex and age-disaggregated information, limiting understanding of health inequalities and the differing needs of women, men, girls and boys.
While analytical and modelling approaches have increasingly informed decision-making in areas such as malaria control, commodity forecasting and health workforce planning, much of this work remains dependent on external expertise and is often conducted through separate initiatives with limited coordination.
EDAM was established to address these challenges by strengthening national capacity, improving collaboration across institutions and promoting the routine use of data and evidence in health policy and programme decision-making.
OUR VISION
Our vision is a future in which high-quality data, advanced analytics and robust modelling are routinely used to inform health policy and programme decisions across Ethiopia.
By strengthening national systems, building local expertise and fostering collaboration across institutions, EDAM aims to create a sustainable ecosystem where evidence is generated, interpreted and applied within Ethiopia to improve health outcomes and advance health equity.
By 2029, the Consortium aims to be a fully functional Ethiopian-led institution with strong governance, enhanced technical capacity and established mechanisms that ensure evidence informs decision-making at all levels of the health system.

TURNING DATA INTO ACTION
Our approach
From data to decisions
Strong health systems depend on strong evidence. Yet data alone does not improve health outcomes. To have impact, data must be accessible, analysed effectively and translated into policies and programmes.
EDAM supports the entire evidence pathway, from data collection and management through to analysis, modelling, policy engagement and implementation. By bringing together expertise in public health, data science, modelling, artificial intelligence and policy, the Consortium helps ensure that evidence generation is aligned with national priorities and contributes directly to improved health outcomes.
A core part of EDAM's role is strengthening the connections between those who generate evidence and those who use it. Through collaboration between government institutions, universities, research organisations and development members, the Consortium helps transform data into actionable insights that support more responsive, efficient and equitable health systems.
A collaborative national platform
Many of Ethiopia's health challenges require expertise that spans disciplines, institutions and sectors. EDAM provides a shared platform through which stakeholders can work together to identify priority questions, strengthen analytical capacity and develop evidence that informs policy and practice.
This collaborative approach helps reduce duplication, improve coordination and ensure that investments in health data and analytics contribute to national priorities. It also creates opportunities for shared learning, innovation and long-term capacity development across Ethiopia's health data ecosystem.
HOW WE WORK
Guiding principles
Country ownership
EDAM is led by the Federal Ministry of Health and is grounded in Ethiopian priorities. The Consortium is designed to strengthen national institutions and build sustainable expertise that remains within the country.
Excellence in analytics and modelling
The consortium promotes the use of rigorous analytical methods, advanced modelling approaches and responsible artificial intelligence to support evidence-based and equitable decision-making across a wide range of health priorities.
Equity and inclusion
The Consortium promotes equitable health data systems, addressing data inequalities and strengthening the use of sex- and gender-responsive evidence to support inclusive decision-making and greater representation of women.
Evidence to policy
EDAM works to ensure that research findings and analytical outputs are translated into practical recommendations, tools and insights that support policy and programme implementation.
Governance
The Consortium operates under a tiered governance structure that bridges national strategy, technical support and regional implementation.
At the highest level, the Federal Ministry of Health provides strategic leadership and is responsible for setting national priorities and overseeing governance and decision-making.
Supporting this vision are Ministry of Health agencies, national institutions, universities and development members, which contribute technical expertise, methodological development, research, capacity strengthening and financial support.
At the implementation level, Regional Health Bureaus help ensure analytical work reflects local realities and priorities, while civil society organisations and other stakeholders contribute community perspectives and support the uptake of evidence in policy and practice.
Together, this structure ensures a seamless flow from national priorities to local implementation and impact.
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