Download - BODDY13 - Workshop 5: Katalin Gallyas
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Open Innovation, Crowdsourcing: new way
of city innovation
Katalin GallyasOpen Innovation Policy Advisor-
@KatalinG
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1. Global City Trends
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This how we like to work
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This is how cities are working
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Tech Gap? City
• Cities are more then ever multilayered, challenged by budget cuts, stagnation urban construction projects
• Old procurement structures (vendor lock)
• General risk averse
Citizens
• 24 hours connected• Changing needs: craving for
immediate feed-back from city
• Want to leverage on the rapid development of Internet tech and social media
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…cities are incredibly challenged•Are reaching their limits for finding new
solutions, generate new projects
•Citizens wants more transparency, innovation
•“Cognitive Surplus’ of the crowd to collaborate on urban solutions is still untapped
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Trends that will transform city governance ….
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1.City = Interface
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2. Platformism
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3. P2P markets
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How can City Governance address the tech gap,
while enhancing transparency and
fostering innovation?
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•Open Innovation we can tackle some of the urban challenges and shorten up innovation incubation time
•With Open DATA•With Crowdsourcing•With Urban Challenges•With Crowdfunding•With Social Innovation
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http://digitaldublin.ie/openinnovation/
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2. Open Innovation Ecosystem & Policy
Wheel
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Open Innovatio
nUrban Labs
Grassroot Innovation
Working with challlenges, incentives
Crowdsourcing
Hackathons- Engaging App
Industry
Open Data Program –
Release of Data (API’s)
Activities
Working with commons
Gov
Business
Crowdfunding
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Amsterdam Open Innovation Team
• Local Enablers (ICT / Economic Affairs)
• 5 employees, part time involved
• Agile • No structural local
resources allocated
• 3 years evolution process (2010-1013)
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Knowledge institutes
sdfDeveloper hubs
sdf
Accelerators
Innovation labs
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3. Demonstrator Projects
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Our Fellows1. EU project:
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Civic Apps1. EU project:
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www.openinnovatie.net
Crowdsourcing Platform in AMS: www.amsterdamopent.nl
2. EU project:
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www.openinnovatie.net
Crowdsourcing Platform in AMS: www.amsterdamopent.nl
Open Data Platform (SCAN)
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Crowdsourcing Platform via www.opencities.net
EU Challenge
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4. How to crowdsource
policy?
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Crowdsourcing
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Crowdsourcing ingredients
Community
Platform, Tech
Political commitment for implementation
Incentives
Social Media activation
Events
Mediation
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Learning's so far• Choose a politically less risky question• Engage local leadership to commit on high level- kick
off• Use incentives that are tailor made to the target
group• As a government be not anonymous but use avatars,
names• Comment on each idea’s• Reward the best contributors weekly• Keep platform with social media activation active• Mediate between crowds and problem owner• Try to save up development costs of platforms by
reuse of existing codes
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5. How to make Open Innovation
policy locally?
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Policy Making Paradox•Open Innovation is an emerging new policy
area with economic impact
•City governance is more risk-averse and there is a need for proof of evidences/ business cases to lobby and convince
•Local ownership creation for O.I is difficult because it impacts more departments (ICT, Economy, Citizen Services ) -> need for demonstrators
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Amsterdam – City Lobby
with Code for America Fellow Joel Mahoney and Henk de Jong , General Secretary of
Amsterdam
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Economic Relevance
• Open Innovation fuels the city innovation process
•Start Up Acceleration• Working towards a Civic Apps Store/
Commons• Access to the most innovative technological
solutions and civic apps•Ecosystem of cities, app developers,
innovation agencies strong USP for investors• Scalable solutions among cities (efficiency)• Reusing instead of reinventing
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The future• Launching an Open Innovation Policy Doc’s
Repository for cities with best practices, business cases, performance matrix
• Build a clear link with Digital Agenda Link with Smart Cities and Communities Stakholders Group, and City Protocol
• Network of Civic Innovators on Civic Commons
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The future
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The future
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Conclusion
• Open Innovation should be integrated city governance
•EU projects as bottom up demonstrators for local top down policy making
• Governments are responsible for O.I (big data owner, public service provider, purchaser)
• Biggest challenge: Open Innovation embedding in regular governance and share these learning's among cities