Using digital tools to respond to infrastructure challenges

Using digital tools to respond to infrastructure challenges

Designing better outcomes with data and lived experience

30 March 2026
Nexus - Brendan Langfield_1380 X 862 px - Hero
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Nexus, Publish By GHD.

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Where ideas connect.

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Hi everyone.

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I'm Michelle Cramer, GHD,
Future Communities lead for Australia.

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Today I'm excited to be joined by Brendan
Langfield,

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GHD, leader of our Simulation
and Decision Science team.

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Brendan has been using data and analytics
to design innovative solutions

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across both public and private sectors
for almost a decade.

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He's a strong advocate of systems thinking
and the advantages

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of integrating multiple disciplines
to tackle complex problems.

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Great to have you on.

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today, Brendan.

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Thanks for having me, Michel.

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Fishing setting.

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We at GHD embarked on a crossroads
research to test the unsettling hypothesis

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that we run the very real risk
of passing on to future generations.

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I built a natural world, climate
and quality of life that is inferior

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to our own.

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So at this critical juncture,
we asked ourselves, how can we course

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correct and chart a path forward
that leads to a positive legacy?

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And to do that, we focused on exploring

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intergenerational equity
through an infrastructure lens.

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Crossroads
involves surveying more than 10,000 people

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across ten countries to canvass
a broad cross-section of the population.

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Through that research, we uncovered
multi-generational perspectives,

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preferences and priorities and discovered
the three pressing issues common across

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all geographies and generations
for environmental concerns.

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Cost of living pressures
and transport challenges.

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The idea of intergenerational equity
is about fairness and justice

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across all generations, including those
who have not yet been born.

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The first insight
that is apparent in the crossroads

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data is the difference in optimism across
different age cohorts,

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with older generations
less positive about the future.

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Brendan, I'm curious about what that means
for a digital and data perspective.

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I wonder if you could unpack that.

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That is very interesting, Michel.

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And when I first saw the research,
I also thought it was counterintuitive.

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You know, my gut tells me

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that older generations
should probably be more positive because,

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you know,
the younger generations are the ones

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who will bear the brunt of the challenges
that we're now facing.

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You know,

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younger generations are the ones that are,
you know, going to have to really battle

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through the the challenges that we've had
responding to climate change.

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You know, the density,

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housing affordability issues are impacting
the young, both the old and etc..

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So it's it's an interesting finding,
but I think,

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when I reflect a little opponent,
I can probably tell us

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more about the future
than the current state. So,

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you know, optimism in young people,
I think, is born from a pretty

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tangible shift
in things like climate policy

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and the way we were responding
to the challenges recently.

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You know,
I can think back to 10 or 15 years ago

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and still felt like
we were having arguments

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about whether climate change was real or
not, but like whether we should respond.

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And I think we started to see response
happen, albeit,

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of course, perhaps a little too late
and maybe not the magnitude we need.

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But we've seen change,
so there is some optimism being born

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from that observation
that things are shifting.

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And, you know, we've seen

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technology and data, enable
very rapid changes.

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And so I think, you know, younger people
have probably got a lot of optimism for,

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for the possibilities.

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As long as we're
all heading in the same direction,

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we've all got the same ambitions.

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And then for,

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you know, older generations,
what we're really talking about is change.

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And change is hard.

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And change is hardest
when you've got an established routine

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or way of doing things.

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So, you know, it's much harder
for someone in their 50s

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to get out of their car
and get on a bike than it is,

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you know,

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for someone in primary school
to learn how to do it and get on before

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they've got those established practices,
for example.

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So that concept of change being hard,
I think is really

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what's coming through in those results.

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And our older generations are really going
to go through a rapid period of change

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so that we can enable that future we need.

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And perhaps

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our younger generations are more ready
and equipped to deal with that change.

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I think.

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I think that's really

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interesting, that idea of digital natives,
if you like, this key idea

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about digital disruption and
and who actually holds the keys to that.

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So I'm keen for your perspectives
on that idea of digital disruption or

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better still, maybe digital enablement
that comes from those younger generations.

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And is this a way that we can get closer
to intergenerational equity?

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Yeah, I think, you know, we've

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we've certainly moved to a state where

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those digital natives are now
in a position of power, if you will.

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You know, we feel that people
who grew up with the internet and grew up

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with social media and pretty advanced
technology now, you know,

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running companies and sitting strategies
and in charge of implementing policies.

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So those people are now
starting to look a lot more to data

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and technology to help solve the problems
or point them in the right direction.

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So that transition from the shock
and novelty of what

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data and tech can do for us
has moved to an expectation

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that we will use data and technology,
and analytics and, you know,

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best scientific practices
to actually get the right solution

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instead of maybe getting it wrong,

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instead of maybe using people's opinions
or or being swayed by anyone's

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particular motivation.

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So that's a really

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I think it's shifting us into

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that direction of where digital and data
are going to be more important,

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I think, than ever, in helping transition.

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You know, I've spoken to,

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you know, people who are, you know,
CEOs of organizations who are running it,

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who are in, for example, the concept
of just responding to a challenge.

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Let's say
an asset outage is no longer adequate.

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We want to respond proactively,
you know, pre-service.

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And I said before
it goes down, for example,

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and that's only possible
with the assistance of AI

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and technology to help us understand
and predict events before they happen.

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So, you know, it's real and it's here
and we're starting to expect it to be used

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more often to make good decisions.

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And I'm glad that you brought up AI,
because it was going to be my next

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question to you around
how we can really use

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AI in this transition
and build on the intergenerational trends.

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So what learnings from Crossroads Data
do you think might assist us

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in harnessing
AI, towards a more equitable future?

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I mean, AI is obviously

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the the hottest thing right now
when you're talking tech.

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And, you know, for me, the first thing
I like to point out whenever I have

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this discussion is that we shouldn't
put every type of AI in the same bucket.

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You know, we're we're all enamored
right now with large language models.

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And I think you can interact
with deliberately.

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But, you know, we've got AI systems
embedded throughout our whole of society

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that have been and will continue

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to help us improve things
and run more efficiently into the future.

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So, you know, for example, in crossroads,
there was a question there

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about, expectation for things
like smart traffic lights and intelligent

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transport systems
improving flow and reducing congestion.

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And in some countries, more than 90%
of people agree that they expect that,

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you know, we expect intelligent
transport systems to improve, our roads.

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So Halo
is going to be significant in our lives.

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And it already is.

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You know, we want to get to that point
where, you know,

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right now we have what feels like
pretty archaic signaling rules.

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For example, in some places where it's
just a set timing, you know, it doesn't

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account for how much traffic is there
or how much traffic is not there.

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And in some places, we're already
using much more smarter systems than that

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where we've got, you know, real time
recognition of traffic build up,

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you responding really rapidly,
and that will be the standard

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as we move into the future.

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Because it's better for everybody,

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but it is not going to solve everything.

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You know, we've seen in California
of speaking to a colleague there recently,

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telling me that robo taxis,
you know, not a futuristic thing

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that might be here in 20 years time, like,
I think that's here right now.

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So in California, you can call a taxi
and there's

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no one driving, and you get in
and it takes you where you need to go.

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You know, of course,
I'm sure the service routes are limited

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and can't go everywhere,
but it's a thing and it's here.

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And so we have to get used
to we have to leverage in.

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But you know, technology's
going to solve all problems as well.

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So I remember reading a report by Harvard
on the predicted efficiencies

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gained by autonomous vehicles,
whether they have a driver in them or not.

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But, you know, the concept of,
you know, platooning,

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if you will, where you've got many cars,
small

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tailgating essentially,
but doing it safely

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because they're controlled by computers
that are talking to each other.

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You know, that concept,
has a lot of efficiencies.

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It can be gained.

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And, this Harvard
study said there was potential to increase

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the efficiencies on our roads by 35%,
which is a lot and sounds great,

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but we also know at the same language
driving more than we ever have.

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If you look for example,
at, trips to school, which is something

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I've been investigating recently,
in Australia in the last 30 years, it's

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dropped from,
in the order of 70 to 80% of people

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using active modes to get to school,
and now it's less than 20.

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In some states, it's less than 15%.

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So the rest are driving.

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So you take maybe I was saying 35%.

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We are putting
significantly more cars on the roads.

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So I in tech absolutely will help us.

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And it's going to have to.

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But I think maybe even more than that,
it's non-tech.

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And and the way
we decide to use our tech, you know, our

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common incentives and motivators
and actually deciding on the future

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we want, that's really going to drive us
to, to get to where we need to be.

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I'm so fascinated by this idea
that the future is actually now,

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and that these technologies
that we thought were,

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you know, five years ago
were 25 years away, are now

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only five years away or two years away,
or maybe just around the corner.

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Thank you so much for chatting to me
today, Brendan.

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I've learned a few things,
including that there's a digital and data

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overlay to those differences
and perspectives that are coming out of

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different generations,
which I think is really interesting,

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especially around the optimism
apparent in our data, is a real benefit

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in our digital natives
leading a path to digital enablement.

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They have the tools
and they have the familiarity.

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And, we should be enabling them.

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That pathway.

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And then this great idea
about how we actually ban

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a balanced digital enablement,
with that human need pace,

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I think is really interesting
and something for us all to take on board.

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So many
thanks again for your valuable insights

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today, Brendan, and I can't wait
to continue this conversation.

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Thanks, Michel.

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Brought to you by Nexus, Publish By GHD.

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Where ideas connect

How can digital tools be used to address transport, climate and cost-of-living pressures? Younger generations may hold the key to driving change.

Learn how agile organisations use data and simulation to make decisions that reflect community needs. The conversation also looks at how optimism and adaptability influence how different age groups engage with digital transformation.

Short, sharp points of view on: 

  • The value of intergenerational equity in infrastructure planning
  • Why younger generations are shaping digital-first approaches
  • Where simulation and predictive tools are improving service delivery
  • How digital tools are helping communities respond to rapid change

Tune in to hear how digital tools help planners respond to shifting community needs.

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