Data & Disasters

 

 

Dave Hampton
Benjamin Krause
Lynnette Larsen
Stephen Metts

 

HAITI | OSM | 2010 

Knowledge is Power

if you cannot visualize the challenge, you cannot meet it.

if you cannot define it, you cannot design a solution.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Ben Fry's All Streets 

 

 VS

 

 

 

 

sometimes things are highly orgainzed

and (maybe?) accessible...

 

 

 

 

 

 

 

 

...but often not

 

 

 

 

We've all been here:

data silos...

...resulting in BIG inefficiences through all stages of 'data & disaster'-from collection all the way to application of data

Inefficiency 1:

 

Disaster occurs; scramble ensues to gain and organize data to guide remediation efforts.

 

 

 

 

 

Inefficiency 2:

 

Once an information system is stable, inputs (ground conditions) constantly, rapidly change.

 

 

 

 

 

Inefficiency 3:

 

As crisis wanes, data efforts go dormant and are not leveraged to their full potential for remediation.

 

 

 

 

 

Responses to these inefficiencies are being developed OUTSIDE narrowly defined disciplines….

Innovation 1:

 

OPEN DATA 

 

 

 

 

 

Organizations create and manage a vast amount of data. Many of these organizations, such as governmental agencies, desire or are required to share certain data with the public. This data, when freely available for people to obtain, use and redistribute, is called OPEN DATA.”

-ArcNews, Spring 2014, Vol. 35, No.1

 

 

 

 

 

 

 

 

 

 

BIG & OPEN DATA 

Innovation 2:

 

Counter-Mapping 

 

VGI 

 

OSM (OPEN STREET MAP) 

 

 

 

 

  OSM HAITI 

 

 

 

Ebola Outbreak - Mamou

 

OSM 2013

Innovation 3:

 

Crisis-Mapping (Crowdsourcing) 

 

Micro-Tasking 

 

 

 

 

 

Syria Tracker

 

OSM HOT Task Manager

Innovation 4:

 

 Innovations 1/2/3 'looping' back into large agency and governmental data repositories 

 

 

 

 

 

 

 

  The Github 'Diff' 

 

 

Where to find us:



Dave Hampton

 

Benjamin Krause

 

Lynette Larsen

 

Stephen Metts