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DEEP (Data Entry and Exploration Platform)
The Problem
Manual Entry Wasn’t Made For 21st Century Crises

Over the past 20 years, more than 7,300 natural disasters were recorded worldwide, affecting more than 4 billion people across the globe and generating $2.97 trillion in economic losses (UNDRR). The colossal effort to manually collect, track, translate, store, verify, and share critical data in the wake of these disasters has created overwhelming, and at times, insurmountable challenges for humanitarian responders— jeopardizing accurate decision making during a crisis and hindering global ability to prevent and abate future disasters. That’s where DEEP was born.

Secondary Data Review
Protection Monitoring
Participatory Assessments
Long-Term Storage
Open Source
Risk Analysis

The Solution
Remove Collaboration Barriers, Improve Response Time, Save More Lives

DEEP is a platform built with AI in mind to centralize, accelerate, and strengthen inter-agency response to humanitarian crises at national and field levels. The free, open source tool was developed by field responders in the wake of the devastating 2015 Nepal earthquakes, and has since become a go-to resource for leading global humanitarian organizations, including UNHCR, UNICEF, UN OCHA, and the IFRC. Today, DEEP hosts the largest analysis framework repository in the international humanitarian sector, hosting more than 85,000 carefully annotated response documents and connecting more than 3,000 expert users worldwide.

Since its inception, DEEP has been used to inform more than 1,800 international humanitarian projects whose scopes are estimated to impact more than 98 million people, including USAID’s response to COVID-19, ACAPS’s response to the Rohingya crisis, and UNHCR and IFRC’s response to the Venezuela migrations crisis. More than two-thirds of individuals in areas where DEEP is utilized earn less than $5 USD per day.

DEEP & COVID-19

Partners

“As more governmental measures are adopted to reduce pressure on health services and public health risks, the impact of the pandemic is being felt by all humanitarian organisations whose staff is mostly confined at home. Non-essential field movements have all been cancelled. Needs assessments are being cancelled and regular monitoring systems interrupted. For the months to come, access to structured information in humanitarian contexts will become the exception, and most decisions will be made on the basis of remote techniques, secondary data, social media, expert judgement or journalism. The impact of movement limitations will be felt at each step of the assessment and analysis cycle.”

iMMAP
June 2020

The COVID-19 pandemic has presented unprecedented challenges to the ability of humanitarian actors to collect and analyze data in humanitarian responses around the world. In addition to worldwide stay at home orders that have constrained traditional responses, humanitarian organizations have faced five concrete challenges:

1
Data Comprehensiveness
2
Consistency and Depth
3
Analytical Value
4
Analytical Value
5
Time and Focus

To date, DEEP is active in coordinating COVID-19 responses in 14 countries across Central and Eastern Africa, the Middle East, Southeast Asia and Latin America. In the case of iMMAP, DEEP is centralizing COVID-19 response data collection among 464 humanitarian organizations spread across 6 target countries and operating alongside broader global efforts.

Through this partnership, DEEP has directly strengthened assessment and analysis capacities that continue to inform response and resource allocation for more than 41.6 million people in targeted areas.