So here we are at section 5.2 and
by. Now you've pretty much figured out. I
like to give some concrete examples of open data.
So most city data remains unstructured. As
I mentioned before, in the form of a PDF or Word document or
Excel sheet. But once these documents
are kind of curated and structured sees begin
to create a whole new economic.
Business opportunity that can actually start fixing these
Urban challenges.
So here are the reasons why
we need to kind of support these Concepts,
which is about making
sure that our cities are cleaner and the
more efficient there quicker, obviously and
they're safer. There's much more space
that are available because
of all of these efficiencies. The
services are obviously more affordable and
likewise is more
available.
Bowl to all sorts of different kinds of interest
groups, the more reliable trustworthy
and hopefully hopefully
that all of these kinds of interconnected systems
become more convenient for ourself
So in this section, I'm going to demonstrate that
sharing is caring and the
cities are hosting more and more important data sets like geospatial census
data market, trends and
much much more. So let's start on
those super local level.
Here again, is local example from my favorite city
of Amsterdam and they have a dashboard
that offers a huge range
of different data sets. There's actually over
320 different data sets and 300
apis, that can connect to allow you to
connect to them. So it becomes a kind of One-Stop shop
for the general public or entrepreneurs or
journalists to connect to. So,
what you see here in the left is
Is the landing page for the the
data dot Amsterdam .n. L CD
data data
portal, basically, and they've organized a
number of different ways. You can look at it, geography, geographically. So,
that's the plan. And there's also catalogs
that you can browse through. You
can look at the data sets and based on popularity, and
basically, the
search engines themselves are quite elastic so you can actually
Find those key terms and themes and tags
to to find the data sets that
you're interested and interested in. And of course connect
to them.
The second example is the
Dutch. Let's say read the national and
Royal datasets. And
these are handy dandy kind
of data Vis kinds of sets
that you can browse through huge
libraries of different statistical data
to understand it in
that kind of graphic form. What's important
about that? It's not
Isn't just a local city level but it's
the aggregate of all the cities around the Netherlands. And
you know that they come from trusted sources because
this is data that institutions
and research groups have provided for
the cities. They make it super visual. So
you very quickly if your student or if your researcher
can very, very quickly, see the snapshots of
what's being explained here. And then it's also
you can dive deeper deeper into the
Into the data sets on from a
national to a super local level and
it's interactive. So it's not static that you can actually click
on things and again dive
deeper into the into the information.
Now, if we Zoom further out
on a, it's a global level, this
is where it becomes interesting as well because it's not just
the city's aggregating, huge data,
and insights to the National level. But each of
the nation states providing insights to
the global level and there
are over five hundred and ninety. Two different data
portals run by the open knowledge Foundation, which
is a non-profit just with their only job.
His to keep the data open accessible. So, in this platform data
portals dot-org, you can actually browse and
zoom in zoom out and look at all the different types of
organizations institutions. And citizen
scientists that are collecting data sharing the data, but
it's also an opportunity for you to contribute. Your own kinds
of data sets, from from your city, or from your
company. You yourself can
actually participate in the
In this kind of dialogue in exchange between
different data sets and most
importantly that went like I said sharing is caring
once it's published people can actually download the
data and reimagine the
data itself or recreate as
a situation or building
completely new system or
application to solve a specific problem.
And this is where I find.
Data open data is so important to
provide the general public and businesses institutions
Academia like because they're
not profiting from this data that we all profit from this data. And
that's really a part of the kind of smart City strategy.
If for example, your government isn't
as robust and mature as a cities like,
Amsterdam, there's still ways to collect data, that
can also help your own City, your
own municipality, and that's called data. Scraping
and one example, that
I'm giving here is quite interesting, a few years
ago. We were in Taipei and giving
a workshop on exchanging Innovation between
the cities of Taipei in Amsterdam and one
of the things
It we have here in Amsterdam is kind of
data scraping tool that lets
the city officials. Look at the
public web sites like Airbnb and other vacation booking
services to see what's going on around
them. Because we have to be careful, not to be giving away too much
of our cities to the tourists because where there's a
shot, there's a housing shortage here. And so it's important
to know who's booking apartments for
vacationers.
Because we certainly don't want a city owned and occupied
by foreigners. And
so what we did is we borrowed this tool from the city and it
showed the Taipei as smart
City Taipei officials what
can happen when you simply use some data mining techniques
and look at say for example, Airbnb listings in
Taipei. And so just in a few hours, we're
able to scrape all of the
listings. Over the last basically, almost 2010.
Now, and what was interesting is that
with this data, it started kind of
telling a story start seeing patterns and
so forth and the results were quite
astounding. So for example, in the downtown
Taipei City, they were almost
3/4 of all the listing, all the property
owners had more than one listing. So
in other words, three out of four people had
multiple properties.
And we're listing them on our B&B. And what was
even startling was that on a deeper dive. We were looking at.
We looked at that almost one in five of
those listings, had property owners that were had more
than 10. So this was
a kind of shocker because for city government to
manage their, their properties, their assets. It's
very difficult to, to deal with
taxes or safety or management
when all of those
Are basically not following the
laws of other hotels and in
other listings. So this was a really
handy dandy tool to help the government. Have
a deeper look into what was happening. And then
maybe making some policy decisions
based on the data and also visualizing the
data in a way to help more officials understand what's going
on and make those important decisions.
So in the last section, I could you explain to
you how governments are centralizing
the data and making it openly accessible and available
to lots of people. Whether they're
citizens or whether they are entrepreneurs, or small businesses. Some
of them are readily
available. So them require some
data, scraping or some mining of some websites,
but nevertheless, once you have the data, you can make important
decisions. So in this next example, I'm going to
show you
About just nine examples. What's
been done? Once the government is shared
their data here.
So here are some fun examples of
what can be done once your city
or municipality start sharing the data and
these are just again,
super local examples. These are examples some of these
projects I've worked on directly. I
love open data. I think open data can solve
lots and lots of problems for cities. So
the first example go over a SOG
go OV as basically,
Acronym for how independent
Travelers can't want to help Travelers.
Our citizens can use public transport much
more independently with specific conditions. The
example, I mentioned previously of the
the city of Amsterdam has an open data platform. It's
not just the open data sets, but that's also workshops and
different demo days and then around the data sets
that come in. So every Thursday, for
example, there's
community of Meetup where people can actually meet
and discuss the data and discuss new
business opportunities or user cases or
business cases. 10,000 schools is an
important one. A lot of parents have a lot of
choices to make about the future of their, the
education of the kids. So
1,000 schools allows parents
to compare different schools, with one another and
get the insights. They need to make to make
Good. Informed decisions about whether kids can and should go
to schools zonad list which
translates to the sun Atlas. And that's some
is a wonderful Open Source, One, Stop Shop
to see the value of
rooftops in and around the city. And what kinds
of capacities, they could ultimately provide in terms of
solar collection, whole
can North Node. Is
a fun is a Dutch word that basically
As high urgency. And but it's basically a
public toilet management meaning when
the city was able to publish all of the free public
toilets. And in a,
on a web service, smart group
of people, we're able to use
those data sets and make an app with the tourists and
citizens alike could not pee on the street to the sidewalks or
the the parks, but they would find a
public toilet in their vicinity to use.
3D Amsterdam is super, super ambitious project. The
entire city of Amsterdam in 3D uses,
a lot of the public National
GIS data of properties and button
parcels and it's a, it's a
great tool to zoom in, click, on
click on literally, in 3D, a building and
then see all of the properties in and around that building again
is open source, so you can actually embed these kinds
of 3D models into your own, a
Errol our platform. Super, super is visible
interesting, and this is touching upon it.
A trend that's going on all around the world called digital twins.
Eye cream. Love. This is an app where
my first app that I made for the city of Amsterdam. It basically allows
to give yourself a second life.
So your old tables chairs and things that you can
dispose of, but you want to give it a second life. Take
a picture of it category condition, and then
it will match it with a local King lobe.
Local thrift store that can come by and
pick it up for you or your neighbors can see what's
available in a kind of gallery, view and pick it up from
your house directly next.
To examples odk, which is basically
an open source code library of
different types of computer vision apps that the city's made.
And what you see here. It's kind of hard to see, but it's
object detection. So computer vision. Using YOLO can
actually scan the streets and detect different types.
Types of waste ranging from plastic
bags to Christmas trees, cardboard boxes. And
this gives a city. It's a freely available to anybody. So
maybe if you're a developer, you can use this app
for your own City and with a smartphone in
the dashboard of a truck or a taxi, you can scan the
streets and take inventory of trash publicize. It
was one of my latest projects working with the city of Amsterdam to
safely, ethical irresponsibly, count people.
So there's no video.
Gordon's, it's just an algorithm. That's counting people in key spots are
all around the city and the data is shared
directly with the citizens
and the public via smart screens tablets
as web
and mobile apps. And this has been a fun project.
And again the data is freely available for
people to make their own apps.
This sounds awesome, very romantic.
But open data does pose
a specific, very explicit, security
problem. And in the next section,
we're going to be talking about how you can help secure it and
and what that means for the
industry.