Open Data for Resilience

John Crowley

To use science, technology & innovation

to inform decision makingand

reduce the vulnerability of the developing world

to disasters in a changing climate

We empower decision makers in the countries where we work

Hazard

Risk

Exposure/Vulnerability

PortMoresby

Lae

155° E

155° E

150° E

150° E

145° E

145° E

5° S

5° S

10°

S

10°

SPapua New Guinea

0 200 400100

Kilometers

AAL / Asset Value0% - 0.05%

0.05% - 0.1%

0.1% - 0.15%

0.15% - 0.2%

0.2% - 0.3%

0.3% - 0.4%

0.4% - 0.5%

0.5% - 1.15%

x

Without high-resolution exposure and vulnerability data, high-resolution hazard models

are not as useful

x =

OpenDRI confronts a challenge:How to enable our clients

to build the information they need to drive their decisions about

managing risk

Data might not exist

Some data may exist but is inaccessible:

not open, fragmented, or locked in proprietary systems or files

Or data may exist and be accessible,

but our clients lack the tools or capacity

to use it effectively

Without open data, at-risk populations struggle to make informed decisions

Why Open Data for Resilience?

Open data is the foundation of the scientific method.

It has become the foundation of open government.

The World Bank launched its open data initiative in 2011.

Key Principles of Open Data

Accessible at published address (URI)using open data standards

allowing for the discovery of related dataall under a license that allows for reuse

Open Data for Resilience (OpenDRI) aims to reduce the impact of disasters by

empowering decision makers with better information and tools to support their

decisions.

OpenDRI works with partners to collect and curate high-resolution exposure data

using open technologies

Where collectors and curators are the members of

communities at risk

We help governments and partners open their data using

open source tools and open standards

We empower local decision makers to use their own

local data to drive local decisions

In partnership with scientists,we combine hazard models

with exposure data to create risk models

and target investments in DRR activities that have the greatest potential

impact

Visualization of hazard and risk

Territorial planning

Infrastructure design

Cost Benefit analysis for mitigation and prevention investments

Scenario analysis for emergency preparedness

Immediate damage assessment

Analysis of financial exposure

Climate Change

UNDP Photo

OpenDRI: NepalOpen data and community engagement

creates a more dynamic and engaged understanding of risk and resilience.

Analyze the Seismic Hazard Map the Exposure and Vulnerability

Develop Detailed Seismic Risk Assessment

Create a Portfolio of Activities to Increase Resilience

A Plan to Increase Resilience in Kathmandu

Invest in retrofitting

critical assets

Re-think Urban

Planning

Consider Financial

Protection

Prepare for the worst

A community of volunteers:making a difference, and learning about

resilience through mapping their own cityValues

Building Polygon

Roof Type

Building Type

Number Stories

Building Usage

Building Women Mappersthrough tailored training and events

Addition of exposure data into OpenStreetMap is easy to train.

Rapidly Mapped City ofKathmandu

Rapidly Mapped City ofKathmandu

Rapidly Mapped City ofKathmandu

Rapidly Mapped City ofKathmandu

Building capacity to undertake a comprehensive seismic risk assessment

using open source techniques

Partnering with sector experts and technologists to support the

development of software applications

Creating an ecosystem around open data between partners.

Local curation of local dataWork with existing systems

Pull in dynamic data feeds from partners

GeoNode allows partners to expose and share data stored on their own GeoNodes

John CrowleyConsultantOpen Data for ResilienceGFDRR LabsThe World Bank Groupjcrowley@worldbank.org