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Commons,	Communities
as	Enablers	for	Urban	Innovation
Gilles	Betis	– Mindtrek 2016	- Tampere
WHAT	IS	A	
SMART	
CITY?
Creating and	Sharing	Value
Attractive
Inclusive
Sustainable
Safe
Resilient
Agile
CARDINAL	
REQUIREMENTS	
FOR	THE	CITIES
+75% Cities	will	grow	from	3.6	Billion	to	6.3	Billion	by	2050
10% of	the	people	live	in	cities	>10	M	people
50%	+ of	urbanization	involves	cities	<	500K	people
Wikicommons - Alicia Nijdam - Flickr: Rocinha Favela
A	TRANSITION
NOT	AN	OPTIMIZATION
Technologic Societal Politic
Centralized Participative
Collaborative
Value	chains	in	the	ecosystem
Citizens	&	
Users
Urban	Services	
Providers
Governance	
Bodies
Economical	
Actors
Internal	value	
exchange
External	
value
Creating	Value	for	Smart	Cities	Ecosystem
COMMONS
Commons	value	
exchange
When	
Communities	are	
the	new	
Commons
Can	virtual	reality	
gamers	replace	
Google	Maps	cars?
Is	DATA	
the	new	GOLD	
of	the	digital	ages?
Circulate	value	to	create	wealth
As	for	money	
or	for	other	goods,
keep	the	data	
rolling	to	create	
value
Unlock	
Data	!
Cities	:	From	Open	Data	operator	to	Urban	Information	Framework	manager
Enable	conditions	for	value	creation	by	entrepreneurs
The	Urban	
Data	
Ecosystem
Innovation	Communities
Innovation	
Communities
EIT	Digital
Catalogue
IEEE	Smart	Cities Initiative
Core and	Affiliated cities
The	IEEE	Smart	Cities	Initiative	Galaxy
Affiliated	Cities
Guadalajara
WuxiTrento
Kansas	City Casablanca
Core	Cities
Experts	Committee Affinity	Groups
Core	IEEE	Smart	Cities
• Involve	city	governance,	IEEE	volunteers,	
universities	and	support	from	entrepreneurs
• Focus	on	3	to	6	priority	areas
• Produce	knowledge
• Sub-continental	pole
A	collaborative	city	network	involving	
every	city	stakeholders
Affiliated	IEEE	Smart	Cities
• Same	ecosystem	as	core	cities
• Drive	a	selection	of	actions
• Future	core	cities	to	be	selected	within	the	
most	dynamic	affiliated	cities
Expert	network
• Technology	expertise
• Systemic	development
• Architecture,	urbanism
• Social	and	human	sciences
Affinity	Groups
• When	cities	are	neither	core	nor	affiliated
• When	there	is	a	group	of	IEEE	volunteers	and	
other	actors	that	want	to	work	on	Smart	Cities
Deliverables
Deliverables	and	Objectives
Content
§ Working	groups
§ Papers,	articles,	publications
§ Interviews,	videos,		Q&A
§ Smart	Cities	Commons	(e.g.	reference	use	cases,	
methodology,	standards)
Partnership
§ Develop	audience	and	collaborative	network
§ Engage	on	social	networks
§ Give	visibility	to	cities	and	experts
§ With	other	Smart	Cities	organisations
Conferences	and	events
§ Conferences,	exhibitions,	workshops
§ Virtual	conferences
§ Webinars,	Live	chats
Education
§ MOOCs
§ E-learning,	Webinars
§ Summer	Schools
Real	Cases
§ Scenarios	&	Use	Cases
§ Develop	methodology	&	standards
§ Consultancy
ISC2	2018	Kansas	City	(Fall)
ISC2	2017	Wuxi	(Mid October)
ISC2	2019	Casablanca
ISC2	2015	Guadalajara
ISC2	2016	Trento
MOOCs	– 12	courses	available	mid	2017
Already	Available	on			www.edx.org/school/ieeex
Data Analytics &
Visualization
Open Data
Available	soon
Internet of Things, Communications, Open Data (2), The
Wuxi Case, Pattern Recognition, Optimisation Methods,
Deep Learning
The	next	ones…
• One	pain	to	kill,	ask	WHY,	before	HOW	and	WHAT
• Start	with	dense	community	of	users,	even	if	very	local,	
then	scaleup
• Give	value	(services,	visibility,	business	opportunities),	
improve	and	increase	commons	before	expecting	
results	back
• Be	scalable,	provide	tools	and	identity	that	will	be	
reused	by	the	members	of	your	community
• Be	financially	sustainable
☑ Know	what’s	the	pain	to	kill,	start	with	the	WHY
☑ Start	with	local	but	dense	community	of	users,	then	
scale	up
☑ Give	value,	increase	commons	to	get	results	back
☑ Provide	a	toolbox	and	a	strong	identity
☑ Be	scalable
☑ Be	financially	sustainable
Similarities	between	building	a	
community	and	building	a	startup
Thank	you	for	your	kind	attention
IEEE	Smart	Cities	Initiative	Chair
gilles.g.betis@ieee.org
http://smartcities.ieee.org/ @GillesBetis
www.linkedin.com/in/gbetis

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