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Citizen Driven Innovation (Helsinki Edition)

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Peter Corbett @corbett3000

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Smarter

BetterFaster

Cheaper

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Idea Sourcing

Citizen Driven

&

Needs Matching

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Starting Point 

Let’s start with what we learned through theprocess of creating and running Apps for

Democracy for Vivek Kundra and the Officeof the Chief Technology Officer of DC

An Innovation Contest

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Vivek Kundra, CTO of DC needed a way to make DC’sopen Data Catalog useful for citizens, visitors, businesses

and government employees.

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The Old Way

Few million bucksCouple years

Crappy product 

you know...the way it’s done now

1.0

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The New Way

Open Data/Source+

Citizen Talent +

Fame and Fortune=

?

2.0

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The New Way

Proposal in 2 daysPurchase order in 3 weeks

Campaign launched in 6 days

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Two RulesUse a DC.gov Data Feed

Release Your App Open Source

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DC Data Catalog

http://data.octo.dc.gov

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Fame and Fortune

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Results

47 web, iphone, & facebook apps$2,600,000+ EST Value$50,000 in cost 

+5000% ROI

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* Marinas near you* Libraries near you* Gas stations near you* Banks near you* Hotels near you* Construction projects near you

* Embassies near you* Places of worship near you* Vacant properties near you* Building permits pulled near you* Crime alerts near you

* Post offices near you* Housing code violations near you* Police stations near you

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1. Open Data2. Gov Sponsorship3. Contest Framework4. Launch and Run5. Award

Apps for Democracy worked well, but...

...There seem to be some missing pieces

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2. Open Data3. Gov Sponsorship

4. Contest Framework5. Launch and Run6. Award

This is the Cradle to Grave Framework for Citizen Driven Innovation in Government IT

Let’s focus on #1 now...and get it right!

1. Problem Sourcing

7. Absorption by Gov8. Commercialization

Th D ti A l

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The Dating AnalogyOur discussion quickly caught fire when I proposed thinking of this

platform in terms of a dating site.

Users with needs (males) register and complete a detailed profileexplaining their needs.

Users who are providers (females) register and complete a detailedprofile explaining what they can provide.

A dating site style algorithm matches those with needs to those whocan satisfy those needs in the most efficient manner (those close-bygeographically, those not servicing other needs etc.).

Those in current relationships are ‘married’ and no longer subject tomatching. Once a need is satisfied, their divorce results in a return tothe needs/provider pool - needs my be removed from the system at that time if an on going engagement isn’t required for that need and it has been fully satisfied.

S i l C it l A l ti

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Social Capital AccumulationAs providers satisfy needs, they accumulate social capital in the formof reputation points (like ebay). The simplest social analytic tracked is

how many hours the provider has spent investing in their communityor country. Multiply the hours by the market price for the service - asdetermined by the community of providers (aka sellers). Example:

Peter Corbett has contributed 1000 hours to building free technologysolutions for non-profits in Washington DC in 2008. The market price

 for these services is typically $125/hr - therefore Peter has invested$125,000 of his time in bettering his community. He is the #1community contributor for the technology category of service in DC.

Having social capital accumulate and be displayed publicly is A VERY

STRONG incentive to participate in and of itself.

Additional incentives like being eligible for grants after a certain levelof community investment would also be a strong motivating factor.NEEDS users satisfied during the process could serve as a communitydriven checks and balances system for authenticating actualcommunity investment and the quality of it.

Id C ll ti

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Idea CollectionThere are hundreds of ways to conduct idea sourcing - ranging fromconducting buzz monitoring on the web, to conducting email surveys, to

creating elegant idea submission platforms.

During the session I hit on what may be an elegant solution.

1. Start with Google Voice - create a phone number for people to call in andleave a voicemail of their idea or problem and at the same time key in their

zip code for geo-tagging purposes. (http://www.google.com/voice)

2. Google Voice translates the audio to text.

3. Google performs a bit of semantic analysis and creates a few tags

4. Machine translation is not perfect, so this text should be moderated,publish and the translation should be edited by the crowd. The tags shouldalso be edited by the crowd simultaneously.

M t hi

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Matching

5. These idea/problem streams would flow as geo-tagged RSS that can beimported and subscribed to based on ZIP CODE and/or tag.

6. The streams would feed into a Needs to Provider matching system (the

dating style system described previously).

7. Using a simple project management application to track the publicprogress of the Provider with the Needer, the system could identify stalledprojects and repopulate needs automatically if Providers aren’t updating orare under delivering.

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Ultimately, a system like this could be used by federal, state andmunicipal governments.

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It could solve ‘the long tail’ of problems that are merely stillproblems because matching NEEDS with PROVIDERS tends tovery inefficient on the community/non-profit/pro-bono level.

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What do you think?

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Connect with Peter directly:

Peter Corbett, CEOiStrategyLabs

Cell: [email protected]

Our Lab is in Dupont Circle in Washington

DC, with team members around the world.

@corbett3000

Connect 


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