An African institution · EST. 2026

Strengthening humanitarian action through data, evidence and innovation.

Humanitarian programmes deliver impact. Data makes that impact visible, measurable and actionable. Relief Lab strengthens the data behind the mission.

Mission

Better data Better decisions Better outcomes.
For the people behind every programme.

Field survey team reviewing data on a tablet.
Field

Surveys & assessments deployed across 14 countries.

Five pillars

A vertically integrated practice for evidence-driven action.

How we work →
01

Learning

Training the next generation of African data and M&E professionals.

02

Research

Rigorous analysis of crisis dynamics, populations and humanitarian landscapes.

03

Innovation

Digital tools and platforms built for hard-to-reach, fragile settings.

04

Field Systems

Strengthening information architecture, surveys and field logistics.

Trusted byUN agencies · governments · INGOs · donors
WHOUNICEFUNHCRWFPIOMMSFIRCGaviAfrica CDCUSAIDECHOFCDOWHOUNICEFUNHCRWFPIOMMSFIRCGaviAfrica CDCUSAIDECHOFCDO
Impact at a glance

Eight years of work, measured.

120+
Projects Delivered
14
Countries Active
2.4M
Data Points Analyzed
850+
Professionals Trained
Read from the blog →
Who we are

An African institution dedicated to evidence-led action.

We collaborate with governments, UN agencies and NGOs to strengthen the people, processes and technologies that drive data-informed decision-making across the continent.

Capacity-building workshop in session.
Learning

850+ M&E professionals certified.

Trusted by
WHOUNICEFUNHCRWFPIOMMSFIRCGaviAfrica CDCUSAIDECHOFCDO

UN agencies, governments, INGOs and donor partners across Africa.

Researcher analyzing data on a laptop.
Research

2.4M data points analyzed.

From the lab

Briefings, methods and field notes.

All publications →
  • 01Brief

    Routine information systems in fragile settings

    Research · 14 min
  • 02Case

    Scaling SMART nutrition surveys across the Sahel

    Field Notes · 8 min
  • 03Method

    A practitioner's guide to data-quality audits

    Method · 22 min
Work with us

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