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.
Opportunity.
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.
arogyakoirala@gmail.com
PARIS21 CRF - Experience sharing
By Arogya Koirala
PARIS21 CRF - Experience sharing
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