Scientific poster UNISDR Science and Technology Conference on the Implementation of the Sendai Framework for Disaster Risk Reduction 2015-2030, 27-29 January 2016 in Geneva.

1. DIGITAL INCLUSION OF FLOOD AFFECTED COMMUNITIES
TO CLOSE THE LAST MILE DATA GAP AND CREATE ACTIONABLE INFORMATION
FOR AN IMPROVED PREPAREDNESS AND RESPONSE
MARC VAN DEN HOMBERG (MHB@CORDAID.NL), ROBERT MONNÉ, MARLOU GEURTS (CORDAID), RAIHANUL HAQUE KHAN (RIMES), LYDIA CUMISKEY (DELTARES), CORNELIS DE WOLF, WAHIDA BASHAR AHMED, GIASH UDDIN (CONCERN UNIVERSAL), MOHAMMED ABU HAMID, MARCO SPRUIT (UTRECHT UNIVERSITY)
ABSTRACT
River floods affect the vulnerable communities living on the riverine islands in
North West Bangladesh. The professional and the responding community implement
preparedness and response activities to avoid loss of lives and protect livelihoods.
We determined and clustered the information needs of these decision makers during
the 2014 floods by conducting and coding 37 semi-structured interviews and three
focus group discussions.
We mapped the available data sets on the needs as a function of time and identified
data gaps, most notably the lack of timely, sufficiently granular and geospatial data.
We identified three ways to address these by leveraging ICT to engage with and
empower flood affected communities.
First of all, a Coordinated Data Scramble and data governance among the many
organizations involved is a very effective way to reach a higher level of coordination
in the data collection process, avoiding duplicates and promoting coherence.
Secondly, data at household level can be collected during and after the flood with an
easy-to-use app by equipping with a smartphone and training volunteers and
government officials. Thirdly, a geospatial sharing dashboard can be used to feedback
the collected data to the responding and professional community. We have piloted a
first prototype of the app and dashboard to collect and display baseline and post 2015
flood data and we will demonstrate the prototype alongside the poster.
In the next phase of the project, we aim at piloting during the monsoon period
and –ultimately– at embedding these approaches into the disaster management
framework of Bangladesh.
INTRODUCTION
THEORY OF CHANGE
RESULTS
RESULTS
CONCLUSIONS AND OUTLOOK
Mapping available data sources on the information requirements of responders is key
for identifying the data gaps that currently exist.
Main gaps are the lack of local and timely data.
To tackle these gaps we co-created a smartphone application in Bengali that disaster
management volunteers can use to collect data just before and during the floods.
In 2016 the dashboard and app will be used by the local government, gauge readers
and specially assigned volunteers to collect data on flood inundation, early warning
effectiveness, local flood impacts and damages during the floods.
For sustainability it will be key to scale up training of enumerators and adoption of the
app/dashboard by embedding the approach in the government’s disaster management
framework and processes, to utilize train the trainer and peer to peer learning, to
evolve towards a multi-hazard app/dashboard and to allocate to the enumerators
possibly dynamically priced data collection tasks based on their location, time and
user-attributes.
25 volunteers trained
in using the app.
Post-flood survey of
over 400 households
in 5 unions.
dashboard an interactive
platform where we are in the
process of visualizing the
existing information
products complemented with
the locally collected data.
Plug ins will be prepared to
make the inundation
mapping and damage
calculation automated.
Information needs
of and existing data
and information
products for
responding and
professional
community
identified in
six categories:
situation overview
(accessibility),
humanitarian needs,
coordination,
baseline data on
context, flood news,
locations.
app for disseminating early warning, collecting
feedback on warning effectiveness, local damage and
need assessment during floods and pulling and pushing
data to dashboard in both Bangla and English.
RESPONDING
PROFESSIONALS
AFFECTED COMMUNITY RESPONDING COMMUNITY
CARE. ACT. SHARE. LIKE CORDAID.
Company No. 1278887
Charity No. 272465
Annual Report 2012-13
Company No. 1278887
Charity No. 272465
Annual Report 2012-13
Timing
First
2 months
First
1-2 weeks
First
48hBefore disaster
Disaster 13 August 2014
Disaster
Data
Sources
*DDM: Department of Disaster Management of the Government of Bangladesh
*HCTT: Humanitarian Coordination Task Team
*FFWC: Flood Forecasting and Warning Centre
*GoB: Government of Bangladesh
▪ Situational
Overview
▪ Needs
▪ Context/Livelihood/
Baseline
▪ Coordination
▪ Flood News
▪ Locations
Information
Needs
▪ Geodash (Geographic
Information, GoB)
▪ 4W Database, who what where
when (Relational, DDM)
▪ District Disaster Management
plan (PDF, DDM)
▪ Secondary Data Assessment
(PDF, HCTT)
▪ Disaster incident database
(Relational, DDM)
▪ Hazard map (Geospatial, DDM)
▪ Union fact sheets (PDF, DDM)
▪ Flood predictions
(Website, FFWC)
▪ Flood shelter list (Excel, DDM)
▪ Bangladesh Bureau of Statistics
(Website, BBS)
▪ National water resources data
(Website, WARPO)
Flood Updates (Website, FFWC)
16 August: Flood related news (Website, local news agencies)
20 August: Situation Reports
(PDF based on SOS and D-Form, DDM)
14 August:
SOS Form
Unknown Date:
D-Form
8 September:
Joint Needs Assessment
Increasing detail, quality and accuracy
For Phase 1 see the Poster Mobile Services for Flood Early Warning in Bangladesh
leveraging ict for flood early warning disaster management
OUTCOMEOUTPUTINPUT
Saving lives an livelihoods building resilience
Flood early warning system Disaster response
coordination
Online geospatial dashboard
Phase 2
Smart mobile application
Phase 2
GSM mobile services Voice
Message Broadcast SMS
Phase 1
Forecast and
warning
Embedding in the institutional setting
Capacity building at all levels
Financial sustainability and scaling up
Risk knowledge
and analysis
Water level monitoring
warning dissemination
Feedback on early warning
effectiveness and response
Improved visualization
of impacts at local level
Collection
visualization
of impacts at
local level
Warning
communication
dissemination
Warning response
capabilities
Damage and needs
assessment
TRAINED
VOLUNTEER
RESPONDERS