Displacement Watch – Turning Data Into Faster Help For People in Crisis

Our Team

Netlight Global

Impact Partner

World Food Program

Impact Cluster

Social Equality, Equity, Diversity

Timeline

2025

Impact Partner

World Food Program

Our Team

Netlight Global

Impact Cluster

Social Equality, Equity, Diversity

Timeline

2025

[01]

Project overview.

Conflict analysts at the World Food Programme’s “Early Warning Preparedness Unit” play a critical role in enabling timely and adequate emergency response to humanitarian crises. Their daily work involves collecting and analysing vast amounts of data on displacement. However, they face significant challenges in accessing and interpreting new data. Our targeted solution aims to enhance the efficiency and effectiveness of their crucial work by providing a streamlined analytics platform.

[02]

Challenge & Approach.

Conflict analysts often struggle with fragmented data, which is distributed across multiple sources and is difficult to consolidate. This results in substantial manual labour as analysts must manually collect and aggregate the data. Additionally, incomplete or outdated information affects the quality and reliability of their analyses, potentially leading to delayed and inadequate decision making.

[03]

The
Impact.

We created a centralized analytics platform that transforms the landscape of available displacement data, serving as a one-stop shop for insights on diverse data sources. The userfriendly frontend ensures an intuitive user experience and visualizes aggregated data tailored to the analysts’ workflows. Our commitment to transparency includes openness about data sources, making it a reliable and accessible tool for decision-makers in understanding displacement patterns.

  • Reduction of Manual Workload: Significantly lowers manual effort required for data

    collection and aggregation.

  • Broadened Accessibility: Designed for daily use in routine analysis of different teams.

  • Improved Decision Making: Enables quicker, informed decision-making processes