Experiences from the 2015 Nepal Earthquake.

Arogya Koirala

Kathmandu Living Labs

3 December, 2018

What we do:

Bring people, data, and technology together

Ground level coordination:

8000+ Volunteers.

150,000 + edits.

10x increase in data size.

The OpenStreetMap Community.

Using satellite imagery and the help of  the to rapidly map roads, buildings and more.


 ....[this] network of human sensors has over 6 billion components, each an intelligent synthesizer and interpreter of local information.


- Michael Goodchild (2007)

 Citizens as sensors

Quake Map.

Crowd-sourcing to bridge the information gap between rescue workers and people in need.


Time of crisis = No time for designing from scratch.

Pre-existing platform = Reduced development times.

Focus on deployment (mobilizing volunteers and coordinating with relief agencies) from the outset. 

2,035 reports.

978 verified. 551 required action.

434 reports acted on. 309 completely closed.

National Housing Reconstruction Survey

Assessing building damage, and socio-economic impact of the 2015 EQ using mobile data collection technology.

Goal: Identify beneficiaries and disburse of grants

Need to assess ground reality.

Time sensitive.

Highly ambitious.

31 districts. 5 million+ people. 1 million+ building.


Building damage + socio-economic data during the inter-census period.

Challenge #1: Scale.

7 government and non-government organisations.


2500 engineers to be deployed.


11 districts.


1 million buildings.


Less than 3 months.

Challenge #2: Poor Connectivity


Completely offline.

Image compression.

Send images and text-seperately. 

One of the largest mobile-based data-collection efforts ever.

Adapt, not build.

100 days. 11 severely affected districts. 762,106 households. 3,677,173 individuals.


Mid-term census.

2015 Earthquake Data Portal

Making damage assessment and socio-economic data accessible to all.



Thank you.


PARIS21 CRF - Experience sharing

By Arogya Koirala

PARIS21 CRF - Experience sharing

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