digital inclusion of flood affected communities to close the last mile data gap and to create...
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DIGITAL INCLUSION OF FLOOD AFFECTED COMMUNITIES TO CLOSE THE LAST MILE DATA GAP AND CREATE ACTIONABLE INFORMATION
FOR AN IMPROVED PREPAREDNESS AND RESPONSEMARC VAN DEN HOMBERG ([email protected]), 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)
ABSTRACTRiver 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 OUTLOOKMapping 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
OU
TC
OM
EO
UT
PU
TIN
PU
T
Saving lives an livelihoods building resilience
Flood early warning system Disaster response & coordination
Online geospatial dashboardPhase 2
Smart mobile applicationPhase 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 visualizationof impacts at local level
Collection & visualization of impacts at local level
Warning communication &
dissemination
Warning response capabilities
Damage and needs assessment
TRAINED VOLUNTEER
RESPONDERS