I’m from Shanghai metropolis were 24 million people live and work each of
million people live and work each of
million people live and work each of them has a different impression of
them has a different impression of
them has a different impression of Shanghai from central business district
Shanghai from central business district
Shanghai from central business district four skyscrapers to the historical
four skyscrapers to the historical
four skyscrapers to the historical temple area which packed with delicious
temple area which packed with delicious
temple area which packed with delicious local food and tourists from all around
local food and tourists from all around
local food and tourists from all around the world this is what Shanghai is to me
the world this is what Shanghai is to me
the world this is what Shanghai is to me where my childhood is where I played on
where my childhood is where I played on
where my childhood is where I played on the streets we also I children with my
the streets we also I children with my
the streets we also I children with my family in summer nights but these are
family in summer nights but these are
family in summer nights but these are all disappearing not only in Shanghai
all disappearing not only in Shanghai
all disappearing not only in Shanghai but also in many cities in developing
but also in many cities in developing
but also in many cities in developing countries these are four photos taken
countries these are four photos taken
countries these are four photos taken from four different cities in China and
from four different cities in China and
from four different cities in China and they look exactly identical so we are
they look exactly identical so we are
they look exactly identical so we are developing too fast without critical
developing too fast without critical
developing too fast without critical thinking without meeting the demand of
thinking without meeting the demand of
thinking without meeting the demand of the people living inside how about in
the people living inside how about in
the people living inside how about in the western country yes public
the western country yes public
the western country yes public engagement policy is much more mature
engagement policy is much more mature
engagement policy is much more mature people are engaged but normally in a
people are engaged but normally in a
people are engaged but normally in a very binary way so this is what happens
very binary way so this is what happens
very binary way so this is what happens in the public engagement process only
in the public engagement process only
in the public engagement process only people who disagree shows up in United
people who disagree shows up in United
people who disagree shows up in United States alone say the six-year delay on
States alone say the six-year delay on
States alone say the six-year delay on average in studying the construction of
average in studying the construction of
average in studying the construction of the urban projects which caused the
the urban projects which caused the
the urban projects which caused the nation’s 3.13 dollars in these years
nation’s 3.13 dollars in these years
nation’s 3.13 dollars in these years another example from the Regent news
another example from the Regent news
another example from the Regent news despite the disagreement and the
despite the disagreement and the
despite the disagreement and the protests among citizens governor Baker
protests among citizens governor Baker
protests among citizens governor Baker still signed a bill to approve an almost
still signed a bill to approve an almost
still signed a bill to approve an almost 800 feet towers to cast a shadow in the
800 feet towers to cast a shadow in the
800 feet towers to cast a shadow in the Boston Common
Boston Common
Boston Common but wait this isn’t just a conversation
but wait this isn’t just a conversation
but wait this isn’t just a conversation about the boss about the shadows it’s
about the boss about the shadows it’s
about the boss about the shadows it’s also about urban density we all know
also about urban density we all know
also about urban density we all know that the suburban sprawl is a problem
that the suburban sprawl is a problem
that the suburban sprawl is a problem because it creates traffic and equate
because it creates traffic and equate
because it creates traffic and equate pollutions one of the solution is to
pollutions one of the solution is to
pollutions one of the solution is to increase the urban density but that we
increase the urban density but that we
increase the urban density but that we are bringing us to the trade-off like
are bringing us to the trade-off like
are bringing us to the trade-off like this like shadows in public spaces so
this like shadows in public spaces so
this like shadows in public spaces so urban decision-making is all about
urban decision-making is all about
urban decision-making is all about communicating these trade-offs how can
communicating these trade-offs how can
communicating these trade-offs how can we include everyone including the
we include everyone including the
we include everyone including the citizens the designers the politicians
citizens the designers the politicians
citizens the designers the politicians or into the Sun or into the same
or into the Sun or into the same
or into the Sun or into the same conversation one of the difficulty about
conversation one of the difficulty about
conversation one of the difficulty about this issue is we are lacking of the tool
this issue is we are lacking of the tool
this issue is we are lacking of the tool a common ground so that experts and
a common ground so that experts and
a common ground so that experts and non-experts can post worker
non-experts can post worker
non-experts can post worker for example designing with sketching on
for example designing with sketching on
for example designing with sketching on the master plan or use the 3d software
the master plan or use the 3d software
the master plan or use the 3d software requires years of trainings
requires years of trainings
requires years of trainings it’s impossible for the public to use it
it’s impossible for the public to use it
it’s impossible for the public to use it so without a common ground the the
so without a common ground the the
so without a common ground the the communication is just inefficient
communication is just inefficient
communication is just inefficient uninformed and normally happens in very
uninformed and normally happens in very
uninformed and normally happens in very late stage here you have multimedia lab
late stage here you have multimedia lab
late stage here you have multimedia lab we are finding and we finally find this
we are finding and we finally find this
we are finding and we finally find this perfect solution a perfect and the
perfect solution a perfect and the
perfect solution a perfect and the technology will bring us together which
technology will bring us together which
technology will bring us together which is the Lego brick so while ago bricks I
is the Lego brick so while ago bricks I
is the Lego brick so while ago bricks I we think a Lego brick at the perfect
we think a Lego brick at the perfect
we think a Lego brick at the perfect media to bring people together first and
media to bring people together first and
media to bring people together first and also it can democratize urban decision
also it can democratize urban decision
also it can democratize urban decision making process first anyone even kids
making process first anyone even kids
making process first anyone even kids knows how to use it it gave us a chance
knows how to use it it gave us a chance
knows how to use it it gave us a chance to move to touch and to change the
to move to touch and to change the
to move to touch and to change the design of the city very into
design of the city very into
design of the city very into second it can carry information about
second it can carry information about
second it can carry information about the trade-offs I just mentioned I will
the trade-offs I just mentioned I will
the trade-offs I just mentioned I will show you what I mean by that so we build
show you what I mean by that so we build
show you what I mean by that so we build a city scope which is the urban decision
a city scope which is the urban decision
a city scope which is the urban decision supports platform
supports platform
supports platform it’s a city model built out of Lego and
it’s a city model built out of Lego and
it’s a city model built out of Lego and the layers of information projected on
the layers of information projected on
the layers of information projected on it so user can add or move different
it so user can add or move different
it so user can add or move different Lego piece represent different building
Lego piece represent different building
Lego piece represent different building building represent different building
building represent different building
building represent different building types and also the user can change the
types and also the user can change the
types and also the user can change the height of this building so when they do
height of this building so when they do
height of this building so when they do this the impact of this change will
this the impact of this change will
this the impact of this change will Jambi analysis and the represented on
Jambi analysis and the represented on
Jambi analysis and the represented on the table including the traffic the
the table including the traffic the
the table including the traffic the sunlight and now also how the city will
sunlight and now also how the city will
sunlight and now also how the city will look like so this information will be
look like so this information will be
look like so this information will be represented in a way that is as
represented in a way that is as
represented in a way that is as intuitive as possible like the heat maps
intuitive as possible like the heat maps
intuitive as possible like the heat maps in which green means good red means bad
in which green means good red means bad
in which green means good red means bad and all also we have the radar chart
and all also we have the radar chart
and all also we have the radar chart with the scores for different aspects of
with the scores for different aspects of
with the scores for different aspects of the city’s performance these feedbacks
the city’s performance these feedbacks
the city’s performance these feedbacks are very important because it were
are very important because it were
are very important because it were informed the embedded trade-off in the
informed the embedded trade-off in the
informed the embedded trade-off in the city for example when you increase the
city for example when you increase the
city for example when you increase the urban density by adding more by adding
urban density by adding more by adding
urban density by adding more by adding more flaws on the building the energy
more flaws on the building the energy
more flaws on the building the energy efficiency will increase the city
efficiency will increase the city
efficiency will increase the city therefore become more sustainable
therefore become more sustainable
therefore become more sustainable but the downside will be the traffic
but the downside will be the traffic
but the downside will be the traffic might get more congested and also the
might get more congested and also the
might get more congested and also the you might have less sunlight in the
you might have less sunlight in the
you might have less sunlight in the courtyard so we see the scope we think
courtyard so we see the scope we think
courtyard so we see the scope we think we have we can have a more accessible
we have we can have a more accessible
we have we can have a more accessible tool for everyone to join the
tool for everyone to join the
tool for everyone to join the conversation very intuitively and
conversation very intuitively and
conversation very intuitively and collaboratively so let’s take a look
collaboratively so let’s take a look
collaboratively so let’s take a look what’s behind the scene
what’s behind the scene
what’s behind the scene so this is a Lego piece without any
so this is a Lego piece without any
so this is a Lego piece without any electronics inside but the magic part is
electronics inside but the magic part is
electronics inside but the magic part is this color tag to seeing at the button
this color tag to seeing at the button
this color tag to seeing at the button of each of them and this color code will
of each of them and this color code will
of each of them and this color code will be read by the camera and then be
be read by the camera and then be
be read by the camera and then be decoded as an ID so when you put this
decoded as an ID so when you put this
decoded as an ID so when you put this Lego piece on you are actually putting
Lego piece on you are actually putting
Lego piece on you are actually putting on a piece of information this
on a piece of information this
on a piece of information this information will tell the system what
information will tell the system what
information will tell the system what type and what kind of people were living
type and what kind of people were living
type and what kind of people were living inside and this information will then be
inside and this information will then be
inside and this information will then be calculated for the performance of the
calculated for the performance of the
calculated for the performance of the city not only this information will be
city not only this information will be
city not only this information will be calculated in real time but also we can
calculated in real time but also we can
calculated in real time but also we can have the system help us to give us
have the system help us to give us
have the system help us to give us suggestions like in this sense people
suggestions like in this sense people
suggestions like in this sense people are the system will tell us what and
are the system will tell us what and
are the system will tell us what and know where the best location to put what
know where the best location to put what
know where the best location to put what kind of building and how high it should
kind of building and how high it should
kind of building and how high it should be to best balance the trade-offs so
be to best balance the trade-offs so
be to best balance the trade-offs so each move we have the system actually
each move we have the system actually
each move we have the system actually calculates a lot of possible moves and
calculates a lot of possible moves and
calculates a lot of possible moves and give us the best solution which is the
give us the best solution which is the
give us the best solution which is the one with the highest score so AI here
one with the highest score so AI here
one with the highest score so AI here just tell us
just tell us
just tell us Oh lastly I should tell you that you can
Oh lastly I should tell you that you can
Oh lastly I should tell you that you can accept or ignore my suggestion that’s a
accept or ignore my suggestion that’s a
accept or ignore my suggestion that’s a very interesting question so we really
very interesting question so we really
very interesting question so we really trust it or should we really make them
trust it or should we really make them
trust it or should we really make them to make decision for us to answer this I
to make decision for us to answer this I
to make decision for us to answer this I think this is a good story to tell about
think this is a good story to tell about
think this is a good story to tell about the human and the machines relationship
the human and the machines relationship
the human and the machines relationship in 1980 in 1997
in 1980 in 1997
in 1980 in 1997 Garry Kasparov was defeated by the
Garry Kasparov was defeated by the
Garry Kasparov was defeated by the supercomputer deep-blue people so there
supercomputer deep-blue people so there
supercomputer deep-blue people so there will be the end of the chess game but it
will be the end of the chess game but it
will be the end of the chess game but it wasn’t true instead people reinvented it
wasn’t true instead people reinvented it
wasn’t true instead people reinvented it so a new three
so a new three
so a new three from kind of chessgame allows any
from kind of chessgame allows any
from kind of chessgame allows any combination between human and machine
combination between human and machine
combination between human and machine surprisingly in the end all the winning
surprisingly in the end all the winning
surprisingly in the end all the winning teams are the human plus machine they
teams are the human plus machine they
teams are the human plus machine they call them sent to us so this does
call them sent to us so this does
call them sent to us so this does actually human plus machine are more
actually human plus machine are more
actually human plus machine are more strong than human or machine working
strong than human or machine working
strong than human or machine working alone I believe this also stays true for
alone I believe this also stays true for
alone I believe this also stays true for urban planning so we and the machine
urban planning so we and the machine
urban planning so we and the machine have different strengths machining are
have different strengths machining are
have different strengths machining are very good at calculating quantitative
very good at calculating quantitative
very good at calculating quantitative things but we are very good at
things but we are very good at
things but we are very good at qualitative values like culture or
qualitative values like culture or
qualitative values like culture or aesthetics so we should have combined
aesthetics so we should have combined
aesthetics so we should have combined these strengths organically so we should
these strengths organically so we should
these strengths organically so we should the form up this central team with
the form up this central team with
the form up this central team with machine and so that we can have better
machine and so that we can have better
machine and so that we can have better decision made for the city we are at a
decision made for the city we are at a
decision made for the city we are at a very important moment in the history
very important moment in the history
very important moment in the history where the city becomes the home for more
where the city becomes the home for more
where the city becomes the home for more than half of the population so can we
than half of the population so can we
than half of the population so can we make a better combination can we utilize
make a better combination can we utilize
make a better combination can we utilize the technology and design better to
the technology and design better to
the technology and design better to facilitate all this inclusive
facilitate all this inclusive
facilitate all this inclusive conversation for the city I believe if
conversation for the city I believe if
conversation for the city I believe if we do so we can have much more
we do so we can have much more
we do so we can have much more sustainable and livable cities so I know
sustainable and livable cities so I know
sustainable and livable cities so I know somehow the city has to grow I could
somehow the city has to grow I could
somehow the city has to grow I could never go back in time and go back into
never go back in time and go back into
never go back in time and go back into my childhood but I feel if we make it
my childhood but I feel if we make it
my childhood but I feel if we make it right we can still have a Shanghai
right we can still have a Shanghai
right we can still have a Shanghai develop into a city which still keep a
develop into a city which still keep a
develop into a city which still keep a sense of humanity community and humanity
sense of humanity community and humanity
sense of humanity community and humanity thank you
”
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