2. Structure
Introduction
Models of Smart city-Amsterdam
Use of data science in developing smart city
How Data Science team for Amsterdam Smart City is
organized.
How data science will propel growth of Amsterdam.
3.
4. • The city of Amsterdam has long been
known for its canals, cafés, and
bicycling culture
• Amsterdam’s transition to becoming a
Smart City began in 2009
• Amsterdam Smart City (ASC) initiates
and facilitates a multitude of innovative
projects aimed at making the city
smarter and more sustainable
• The Amsterdam Smart City initiative
encompasses projects across eight
categories: smart mobility, smart living,
smart society, smart areas, smart
economy, big and open data,
infrastructure, and living labs
Introduction
Technology
5.
6. • The projects are initiated by the
Governments, Residents, Knowledge
Institutions, Companies
• Whereas the Amsterdam Smart City
project started out with few partners, it
has grown rapidly and it now involves
over 70 different partners, including big
players like IBM and Cisco
• Upto now in Amsterdam there are total
of 90 innovations and business models
are initiated.
Technology
7. • The overview of the ecosystem,
connect communities to share
expertise and ASC kickstart,
accelerate and strengthen new
projects that make the city futureproof
• By challenging parties to submit and
execute innovative solutions to urban
issues, ASC connects the right
stakeholders and accelerates this
progress.
Technology
8. • Thegoal is to let people take action to
adapt to climate change and heavy
rainfall(rainproofing).
• The result of the project is to make 100
buildings in Amsterdam rainproof, catch
water, turn this into products.
• install 200 raintanks that catch 200.000
liter of rainwater before it hits the
amsterdam sewer.
• Create the most circular brewery in the
world.
Hemelswater
Technology
9. Reference
• City Data contains big data collections,
like the basic records, which include all
addresses of Amsterdam, topographical
data, cadastral data and much more.
• By opening data, there are four main
benefits : Transparency, Releasing
social and commercial
value, Participatory
Governance, Efficiency.
Why Data?
Technology
10.
11. Use of data science to become a smart city
Amsterdam Smart City (ASC) is an innovation platform. ASC is constantly
challenging businesses, residents, the municipality and knowledge institutions to
test innovative ideas & solutions for urban issues.
The Amsterdam Smart City Initiative (ASC)-facilitated over 80 pilot project to make
city smarter.
Wyzer App by Wander
The app connects to a compass rather than a map, so you are still heading in the
right direction, but can explore different routes to get .The tech uses map, GPS and
tourism data, then relies on a bit of community collaboration to suggest the best
places to recommend to users.
12.
13. Use of data science to become a smart city
Amsterdam has become a city where real-time data enables efforts to reduce traffic,
pollution, energy usage and crime.
Crime prevention and investigations- In Amsterdam, information like what crimes
happen where and when, who is suspected of doing so, and much more identify
relationships between certain characteristics of an area and to predict the number of
crimes.
Transform city-Online dashboard for participatory urban planning and
transformation.
It integrates storytelling, data-sharing, co-creation, participatory democracy,
crowdsourcing and crowd funding. Now citizens, businesses, organizations and the
government can directly exchange information and ideas and collectively plan,
change and own their city or neighbourhood.
Social Glass
14. Use of data science to become a smart city
The city has also shared its traffic data with a tech company to formulate
algorithms to ease traffic. Crowd control is essential for large events, so cameras,
social media posts, Wi-Fi hotspots and even GPS tracking were used to study
how crowds move and how to use those insights to unclog high-traffic points in a
way that respected people’s privacy.
Its Rain Sense project scrutinizes rainfall patterns to help reduce the impact of
flooding.
IoT living Lab-The IoT Living Lab provides IoT infrastructure and actionable
Open Data and developer friendly platforms for emerging IoT innovations which
stimulates the creation of new startups and mobile applications.
City Alert-City Alerts provides adequate information of relevant information
(personal and non-personal) between emergency services during emergency
incidents.
Smart citizen kit-The Kit measures the humidity, noise levels, temperature, CO,
NO2 and light intensity of the neighbourhood.
15. Use of data science to become a smart city
Smart City 3.0
• This version focuses on improving the quality of life for residents and visitors
and designs tools in consultation with citizens, to ensure solutions are
specific to their needs.
• The next phase is citizen co-creation. Residents can detect the city’s
requirements far quicker than administrators can. And by working
collaboratively, they can often come up with the solutions faster too.
• Smart City 3.0 will still need to be enabled by both technology and by the city
but will be led by the people and communities.
• An app literally translates to ‘Improve The Neighbourhood’ and provides
Amsterdammers with a convenient way to highlight problems and make
suggestions for changes. It is GPS-enabled.
16. Use of data science to become a smart city
PUMA — Urban Mining
The research programme aimed to develop the idea of urban mines and to create
a geological map of Amsterdam to indicate the presence of certain metals (e.g.
copper).
The PUMA team hope to create a database of buildings in the city and their
material composition, so there is a possibility for mining these resources in the
future.
17. How is the Data Science team organized?How is the Data Science Team Organized?
• One thing that makes the Amsterdam different is that it has changed
its City Data into an open source platform.
• The smart city projects of Amsterdam overlay 8 primary categories that
include big and open data, smart infrastructure, smart mobility, smart
economy, smart society, smart areas & smart living labs.
• Good number of stakeholders contributing towards developing these 8
areas belong to the private sector.
18. • Amsterdam city strategies greatly rely on data and analytics. For the same, in
2004 Amsterdam appointed its first chief officer to organise the data work.
• Ger Baron is the CTO who has 6 years of experience of having worked for smart
city initiatives.
• Amsterdam Institute for Advanced Metropolitan Solutions became the key player
in Amsterdam smart city efforts through the proposal laid by Delft University of
Technology and MIT in an international technology institute design contest held
by the city.
• The idea was to develop smart solutions through joint effort among academic and
research institutions, businesses and municipalities and most important the
residents.
• $50 million were invested initially that helped in laying the key solutions. One
such example is the ‘Beautiful Noise.
19. How does the Organizations use Data science to propel
growth?
Amsterdam has become a city where real-time data enables efforts to
reduce traffic, pollution, energy usage and crime, thanks to the power of
increasingly prevalent connected devices, the Internet of Things and
analytics
Using statistics from insurance companies alongside information about the
cost of treatment, they found that some areas with high levels of people with
depression were not receiving proportionate levels of care.
The city put further funds into an education programme aimed at those who
were resisting treatment or did not want to acknowledge their disease — and
increased the number receiving medical care.
20. Under “Plastic free Rivers” Campaign Data scientists used principles & data
shared by the oil and dredging industries to create ‘The Great Bubble
Barrier’.
One of the most ambitious projects at AMS is the Social Urban Data Lab.
Researchers and developers are building state of the art technology for the
acquisition, enrichment, integration, analysis and visualisation of big urban
data.
One of the outcomes from the Social Urban Data Lab is Social Glass. This
web-based platform utilises real-time urban big data analytics and
forecasting to create a “reflection of the human landscape”.
21.
22. What Amsterdam believes in…
Smart cities run on data, but putting the citizens at the heart of
plans is essential to successful urban development. In this new
world full of new potential, technology is merely the infrastructure.
It holds value only when it’s connected to people – the real
lifeblood of communities.