Episode 18

full
Published on:

27th Jul 2026

S6 Ep15 Sara (Mills) Kerr - Once a Bushfire Volunteer, Now an AI Researcher

Sara (Mills) Kerr is a firefighter with Fire and Rescue New South Wales and a PhD candidate at the University of Newcastle, researching the trustworthiness of AI-generated information in disaster and emergency management decision-making. Before the fire service, she worked as an e-commerce data analyst, until Australia's 2019/2020 Black Summer bushfires redirected her path. Instead of returning to her normal work, she entered the Emergency Services Academy.

Harry and Sara talk about what fourteen weeks at the Academy built in her, and what it didn't. They get into why "overthinking" is often mislabeled: vigilance is a protective mechanism, not a weakness, and only becomes a problem when it overwhelms rather than informs.

That gap between training and readiness eventually pointed Sara toward research into AI and disaster management, and eventually the PhD. AI, in her framing, is a cognitive aid that should enhance operator judgment, never replace it. She's also recruiting participants for that research - anyone using AI operationally in Australian disaster and emergency management, frontline or otherwise is invited to reach out to Harry for a connection: harry@missioncti.com.

Their conversation also covered how why diversity strengthens a team's shared operating picture, and Sara walks through her Inner Command framework she built out of her own early struggles and the framework's 5 C's: Calm, Control, Competence, Confidence, Courage.

Advice for Monday: weaponize your vigilance, and give yourself credit for what you do well.

If you found value in this discussion, the best way to support our work and stay up to date on future episodes is to subscribe and leave us a quick rating or review. It helps us reach more people who need to hear these conversations.

Transcript
Preston:

Welcome to the Teamcast.

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I'm Dr.

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Preston Cline, director of the

Mission Critical Team Institute.

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Here, we discuss all things

mission critical teams.

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These are teams of four to 12 people

indigenously trained and educated to

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solve rapidly emerging complex adaptive

problem sets where the consequence of

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failure is death or catastrophic loss.

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With my colleagues and our guests,

we bring you insights from combat

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zones to emergency rooms, dedicated to

improving the success, survivability,

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and sustainability of these teams.

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We grapple with how to prepare for

future events and how to develop

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language and frameworks to transfer

critical, often unspoken, knowledge.

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Whether you're on a mission critical

team or not, we aim to bring you

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the broadest range of topics and

guests as possible to help prepare

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you to perform when it matters most.

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Thank you for joining us, and

hope you enjoy the Teamcast.

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Harry Moffitt: G'day.

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Welcome to the Teamcast.

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I'm Harry Moffitt.

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Today I'm joined by

firefighter Sara Mills.

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Over the summer of 2019/2020,

South East Australia experienced

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one of its worst bushfires ever,

the Black Summer bushfires.

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Sara, an e-commerce data analyst

at the time, decided to go down

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to the district and volunteer.

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Her experience profoundly shifted

her sense of purpose and what

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she wanted to do with her life.

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With an athletic background, she was

well-positioned for her now career as

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a fire officer with Fire and Rescue

New South Wales here in Australia.

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The contrast between e-commerce

decision-making and the decisions

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required in the chaos and complexity

of fighting fires recently inspired

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her current PhD in disaster

management and the trustworthiness

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of AI-generated information in

operational decision-making.

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She also shares with us her personal

inner command framework, which she

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thinks addresses the shortfall in

cognitive preparation of new operators

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and their propensity to go into these

chaotic and complex environments.

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Sara Mills, thanks very much

for joining us on the Mission

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Critical Team Institute Teamcast.

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Sara Kerr: Thank you, Harry.

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Much appreciated.

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Thanks for having me.

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Harry Moffitt: No problems at all.

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And, just For our audience, where

are you Zooming in from today?

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Sara Kerr: So today I am in

sunny Newcastle two hours

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north of Sydney, in, Australia.

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Harry Moffitt: New South

Wales on the east coast.

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Sara Kerr: God's country.

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Harry Moffitt: Beautiful spot up there.

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Big surf and big sand dunes too,

which, is a whole other discussion.

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I love sand dunes-

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and I reckon you would too, get out and,

um, in the sand dunes and run about.

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So thanks for joining us today.

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W- I'm going to ask you to give us,

from an operator's perspective, an

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introduction into who you are

and what you're doing currently.

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Sara Kerr: Yeah, absolutely.

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So I was born in South Africa.

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And, my mother was born in, Zimbabwe.

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And we immigrated to Australia

when I was eight years old.

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I grew up in Sydney.

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And very active kid, always

involved in pretty much any sport

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that would get me out of math

class pretty much in high school.

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and had great success in, swimming

at a state level, and then, competed

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in, mountain biking and cycling

and had, great success, nationally

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and internationally with cycling.

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Went to uni in Sydney.

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Started out my career as a, product

manager for a, e-commerce business.

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Australian business but

based in North America.

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And, then joined the fire brigade

when I was 24, so bit of a midlife

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crisis or quarter life crisis

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. Harry Moffitt: How did you find

the fire brigade out of e-commerce?

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Sara Kerr: Yeah, definitely

a, a bit of a career change.

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So 2019, 2020, worst bushfires

that Australia's seen in

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decades, swept through, down in

Victoria and New South Wales.

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Around about that time, I started

to, date a, a bloke from Wollongong.

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And, part of our second date, he

actually said to me, "Hey, do you

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wanna go down and volunteer on the

South Coast to go do some cleanup on

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the, down on the South Coast there?

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And, a couple of my tradie mates are

there, and yeah, we're gonna go pick up.

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Do you wanna come?"

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And I thought, "Oh, that's a

really unique second date idea."

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So we, we went down and, that was Just

the most transformative experience.

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It was- A community-

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Harry Moffitt: Yeah … these are the

big fires in Australia- Yeah … that,

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could be seen globally, that had impacts-

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Sara Kerr: Oh, that's correct.

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And, there was a little town

called Cobargo down south, and

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that town was hit particularly bad.

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And yeah, you could see it from space,

the smoke, and there were reports

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of embers flying into New Zealand.

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It was just, it was catastrophic,

like millions and millions of

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animals, homes, hectares of land.

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It was just horrific.

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We went down in there

and we did some cleanup.

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For a community that had lost

everything, it was nothing but just

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sheer humanity that was present in that.

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These people had lost everything,

and for us as volunteers, they were

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making us tea and sandwiches and

saying, "Thank you for helping us."

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I witnessed so many people wearing

different uniforms just working

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together to get these people, some

relief in some way, shape, or form.

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And it fundamentally changed

what I wanted to do with my life.

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I was very physically fit and active

and figured that I could sit behind

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a desk when I'm older, but while

I'm young, I could contribute to

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something a bit bigger than myself.

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I intended to go as a bit

of a unique second date.

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By the way, we're married now.

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Harry Moffitt: Wow.

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Sara Kerr: Um, it was the turning point

for what I wanted to do with my life.

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I went home and reflected on that

and had a couple of mates who were

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firies and, applied that year and

was successful in my, attempt.

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And two years later, I walked through the

doors of the Emergency Services Academy.

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So yeah.

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Harry Moffitt: what was your

experience like at the academy?

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Sara Kerr: So, I had no exposure or

kind of context into, the world of

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what emergency and disaster management,

entails, apart from a surface level of

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you go on a truck to some fires and put

them out, and maybe rescue a cat or two.

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It was a big shift.

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I was very aware of what the

consequences or risks were that we

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were going into, but nothing can truly

prepare you for the job mentally.

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Physically, though, the college does.

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So the college, Fire and Rescue New

South Wales, which is the, urban

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firefighting service for New South

Wales in Australia, is based in Western

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Sydney in a place called Orchard Hills.

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It's this incredible facility.

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It's got some incredible

props that we train on.

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It's got a service station to practice

service station fires and aircraft.

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We've got an urban search

and rescue platform.

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So this facility you go in for 14

weeks, and they teach you everything

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you need to know from how to put on

your turnout gear and your boots, to

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attacking a high-rise fire, and all

the way through to, cutting up cars.

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It's a very base level and

physical course that you undertake,

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and you are part of a class.

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Once you finish that course you

get given your station number, and,

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pretty much anywhere from the next

day to 36 hours you're at your new

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station, your new family, and you're,

technically a firefighter after 14

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weeks at the Emergency Services Academy.

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Harry Moffitt: And did you feel ready?

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Did you feel ready to-

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Sara Kerr: Oh, yeah

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… Harry Moffitt: to go and meet the world?

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Sara Kerr: Yeah.

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Physically I did.

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Like your skills are sharp.

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You drill until you've got

blisters on your hands.

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They make you work so hard

there, and it's, quite in-depth

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process for how to do the job.

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When I left, my head was

filled with knowledge, right?

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But it was also overflowing with

how to do things right, and you

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get told when you leave, "Right.

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We've taught you everything you

need to know, but now you're gonna

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go to station and you gotta apply it.

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And your learning doesn't stop, so

you have to remember that what you

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learn doesn't, or what you, your

learning doesn't stop when you walk

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through the, the doors of the station.

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It actually continues on and

starts again in another way.

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You've got a baseline

and you go from there."

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Harry Moffitt: Is that

something they tell you?

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Is that something that's

in the conversations that,

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you're always learning?

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Or is it just turn up

and get on with the job?

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Sara Kerr: We've got a shift in

culture, and a shift in generation.

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We've got some firefighters who have some

incredible legacy, to their name, and

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then you've got emerging firies who are

keen and eager and wanna progress the job.

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And it's a fine balance

between, organizational legacy

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and pushing the job forward.

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But for the most part, yeah, we're

definitely encouraged to continue

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our learning and there's pathways for

us to progress in the fire brigade.

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To pursue that you can go through to

pursue a rescue qualification or a,

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or as I did, a hazmat qualification.

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There's so many different ways you can go

based on your interest and your learning.

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Harry Moffitt: So how long

have you been serving now?

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Sara Kerr: Yeah, so just under

five years now, in this job.

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Harry Moffitt: Any lessons for a younger

Sara coming through, or any reflections?

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Sara Kerr: Yeah, I Talked a lot about

your physical readiness at the college.

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And one thing they do really well

in the job is train you as you are.

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You come as you are, and they train you

as you are to physically do the job.

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But I feel something that's

definitely forgotten is context

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of knowledge application.

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And what I mean by that is there's not

a lot of recognition that everyone's

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psychological capacity is different, or

their cognitive capacity is different

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when they walk through the door.

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So you can have someone who comes

from a trade, and then you can have

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someone who's been a school teacher,

and the way that they cognitively

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process things is different.

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And for me, what I must say I found

rather challenging was turning

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physical performance at a drill

level or at a safe or training

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level into practical performance

when it came to the fire ground.

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I found myself getting quite overwhelmed

quite quickly by the information volume,

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the expectations of your tasking, and- One

thing that I really struggled with in this

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job was being told to stop overthinking.

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When you're new, that's like

being told to stop breathing.

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You're trying so hard to be a good

member of the crew, and- I found

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it quite challenging to unlock what

I knew from a baseline training

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perspective, and it was a massive

blow to my confidence early on, right?

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I found myself, not freezing,

but more so just being unable to

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do things at the high level of

competence that I could in training.

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And it was incredibly, difficult for me

as an operator to prove myself, and in

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that manner being a, a good crew member.

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And I think that one, one thing I'd

like to say to myself, or any young

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firey going in there, is that your

mental readiness matters just as

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much as your physical readiness.

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And for any trainers, or people going into

a training capacity, particularly for new

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recruits, it's teaching them or giving

them the skills they need to cognitively

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cope on the fire ground as well.

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I think that resilience is a

missing link for career endurance.

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I think we have a lot of operators that

experience burnout far faster than they

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otherwise would have if they trained

cognitive readiness just as much as

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physical readiness at a recruit level.

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At least the tools on how

to remain calm and composed.

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That's not taught.

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It's just expected that you

figure it out on your own.

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And it's almost taboo to talk about,

saying "Hey, I'm struggling with this a

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little bit," or, "I'm, finding it very

difficult to access this information."

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It's more so a case of you either have it

or you don't, and I disagree with that.

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It's a learned skill, right?

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To remain calm under pressure.

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Harry Moffitt: Definitely.

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Yeah.

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Yeah.

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I imagine Coming from

a corporate background.

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You summed it up perfectly with the

teacher versus someone from the land,

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for example, and there's a lot of tacit

knowledge that we talk a lot about on

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the Teamcast, and in this community.

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The, the…

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Something struck me there.

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You said, And I hear it in

my psychology practice now.

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I hear people at times

saying, "Oh, someone told me

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I need to stop overthinking."

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Or people will self-diagnose

and say, "I overthink too much."

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Mm.

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And I'm Kind of confused on what

that actually means, you know?

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So the observed behavior might be not

being able to slow down enough to make

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a decision and think your way through

something, maybe rushing and relying on

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competence, on technical- … expertise.

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And then by the time you realize

that you're- not, you've made a

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mistake or that you're not going in

the right direction, it's too late.

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You've already committed or you

do- Yeah … you're down that

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rabbit hole- Yeah … already.

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And as an instructor or someone might

be looking at that and going, "Oh,

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you're thinking too deeply," or, "You're

thinking too much," or, "Overthinking."

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And that's…

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if I'm a young recruit, I'm

going, "What does that mean?"

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Yeah, 100%.

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I don't know if no one, no one…

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Does anyone even know

what thinking is anyway?

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But, uh, but it, it's

very hard, and that's…

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that's at the core of what you're

interested in now, isn't it?

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Sara Kerr: Yeah

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Harry Moffitt: that gap of, what,

how do you then, how do you prepare

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someone who needs to o- not only

have the technical competency and

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mastery physically, but also how do

you apply that under high pressure?

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Is that where you're going with that?

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Sara Kerr: Yeah.

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We often treat overthinking

like it's a bad thing.

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Overthinking is not a bad thing.

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Being unable to control

overthinking is a bad thing.

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Yeah.

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And that concept of control is

so important to address because

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ultimately what we are in control

of as operators is ourselves.

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You know, control gets thrown

around a lot in the fire brigade.

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We've got incident control, we've got fire

control, but truly we only influence that.

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We don't have control.

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We can only control ourselves.

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And so when we are in a

adrenaline-rushed, high-stakes

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situation, overthinking is protection.

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It's being very vigilant to what's around

you, and again, it's not a bad thing.

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It's just informing your operational

picture, or what you can control.

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It's trying to identify and keep you safe.

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What is not good is when it paralyzes you.

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And when you're new, you

don't have context, you don't

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understand how to regulate that.

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And I'm very passionate about being

able to center yourself again.

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I had to learn that the hard way,

and I had to learn it by myself.

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I picked up little bits and pieces

of knowledge, but I was so aware of

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being a good member of my crew that I

didn't want my, overthinking, or as I

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call it vigilance, being in control.

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And I had a phenomenal SO,

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Harry Moffitt: SO?

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Sara Kerr: Yeah, station officer, sorry.

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In Sydney.

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And I had a really bad, suppose

self-confidence incident, where I was

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driving the truck and I sideswiped

a car, on the way to a house fire,

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and it was quite a big house fire.

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And that rattled me a bit, and he

afterwards, just said to me, "Hey,

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have you tried box breathing?"

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And I was a little bit

frustrated with him.

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I said, "Oh, thanks.

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I'll look into it."

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It was…

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I felt it was just a bit of

tokenism, like a token sympathy.

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But looking into it, it was

a form of self-regulation.

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And box breathing is where you breathe

in and you hold your breath for three

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or four seconds, and then you breathe

out again, and you repeat it in a

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three, three, three, or four, four,

four, depending on, what you like.

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But that was a start for me to investigate

how to center myself, and i'm 29.

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Um, 24 years old is quite

young to go into the service.

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I think our average recruit

age is about 30, mid- mid 30s.

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So yeah, to come in from that from

no context, on how to regulate,

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and just being expected to

figure it out was a challenge.

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And that's definitely shaped my

interest into input influences,

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and what the operator can truly

control, and what's useful input

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and what is ultimately, just noise.

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Harry Moffitt: Are there any kind of

self-regulatory, practices in the training

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now, or is this something that you

are inspired to change in the culture?

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Sara Kerr: Not to my knowledge.

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If it is, it's done very

informally and through your crew.

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Yeah.

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Ad hoc yeah.

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Yeah.

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To my knowledge, there's nothing formal.

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There's some firefighters doing some

excellent work in the cognitive space.

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Sam Monahan is one of them in our brigade.

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And there's not really anything that's

targeted or structured- Okay … in,

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in the mental capacity thing.

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And yeah, I would love to see it changed,

at a recruit level because I think, like

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I said, you have a lot of career endurance

that can prosper from a bit of cognitive

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training and a bit of cognitive composure.

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Just being like, "Right, you're

gonna go to an incident, and you

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are going to hear everything.

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You're gonna see everything.

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You're gonna be completely overwhelmed,

people are gonna be running and screaming

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and the house is on fire, and people are

yelling at you for water, people yelling

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at you to save something or someone."

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Just take a second.

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And that second is gonna give you

the ability to tap into, what you

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can ultimately do in that situation.

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Grab the hose, put water on it.

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It's very chaotic.

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But in chaos, the number one thing that

grounds me is just to take a breath.

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And I started to develop a bit of my own

mental framework just to ground myself.

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It's very Messy, and it's not

really anything that I bring

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out beyond, my own regulation.

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But I kinda dubbed it five Cs,

or my inner command, if you will.

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Harry Moffitt: Yeah, the inner command.

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That, that's where we met.

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You presented at the Mission Critical

Team Institute summit in Sydney

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last year, and blew the room away.-

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It Sara Won't admit to it, but, it

was a awesome presentation and people

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are still talking about it today.

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But yeah, I, I'd love for you to , give

a short run-up of the academic journey

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to that- Yeah … kinda got you there

and where do you find yourself now?

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Sara Kerr: Yeah, so Academic journey.

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I had a great career entry

into the fire brigade.

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I started out my career at Cabramatta Fire

Station, in Sydney's southwest, very busy.

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And then went to St.

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Marys Fire Station in Sydney's west

as well, and that was also very busy.

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And got very curious about the

technology that we were using.

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So as I mentioned prior, my, my

background was in product management, a

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little bit of e-commerce, and had some

interest in the predictive data side.

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In my undergrad did some work with,

predictive forecasting or predictive

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tech, which is now, as we know,

AI- Yep … and machine learning.

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But it was called something

a bit different back then.

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Yep.

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So I found it very interesting, with what

was happening in America with technology,

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but also, what Australia was doing.

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Like we've got some incredible

capabilities with drones.

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And so I started to go down a bit of a

rabbit hole of what in this job interested

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me and where I could kinda take a bit of

my skillset outside of just putting water

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on fire, to actually contribute or suppose

build a bit of a professional skillset.

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So about three years or five years

after the bushfires, I went back

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down to Cobargo on a holiday.

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Town hadn't recovered.

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It was just floored.

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The economic losses, buildings

were still, burnt, burnt down.

363

:

Nothing had really changed.

364

:

Wow.

365

:

And I got quite, upset by that.

366

:

Yeah … just like

community still suffering.

367

:

And so I started to think, "Right,

what can I do from a Professional

368

:

perspective-- 'cause this town

is why I joined the job--.

369

:

What else can I do?

370

:

So there was an incredible, organization

in Australia called ATSE, the Australian

371

:

Institute of Technological Sciences

and Engineering, and they were offering

372

:

scholarships for women in STEM.

373

:

And so I, had a bit of a background

as a technologist, so I put it

374

:

together a proposal, and this

is around about the time AI was

375

:

really starting to become the hype.

376

:

This was about three years ago.

377

:

I put together a proposal about,

leveraging AI for disaster management,

378

:

which was what we were doing.

379

:

And I saw AI at a surface level

with deployments with floods.

380

:

We were using ArcGIS.

381

:

long story short, I wrote this application

and was successful for a scholarship.

382

:

They were very interested in what I

wanted to do, which was leveraging

383

:

the artificial intelligence side

and I have started my research.

384

:

So I'm a year in now into my

PhD through the University of

385

:

Newcastle, and, my research sits

more so on that influence side.

386

:

I talked about influence factors or

input factors into decision-making.

387

:

Artificial intelligence is just another

influence factor or an input factor

388

:

into our operational decision-making.

389

:

It doesn't automate our decision-making.

390

:

It doesn't change the way we do our job.

391

:

All it does is provides information

input and information influence.

392

:

And for those of you who aren't aware,

Australia has got the lowest level

393

:

of trust in AI in the Western world.

394

:

I think we're very technology-afraid

in Australia, and, good reason.

395

:

We've had robodebt.

396

:

We've had the Optus outage, the

Medibank care breach, and most

397

:

recently now the Telstra outage

with the triple zero implications.

398

:

So Australians are very mistrusting

of, innovative technology.

399

:

And in our world, particularly in disaster

management and, emergency management,

400

:

even in military, trust is currency.

401

:

Trust is an enabler of

many powerful things.

402

:

It enables justified risk-taking.

403

:

It is a calibrator of, willing reliance.

404

:

And so we can't have a technology that

is probabilistic and predictive and

405

:

that has immense potential to influence

our decision-making without trust.

406

:

AI is incredible.

407

:

It has, an array of characteristics

that make it powerful in environments

408

:

that are information-rich.

409

:

But it is also unpredictable, and it is

also still so new in what we actually,

410

:

are trying to bring into our realm.

411

:

And so trust is a key theme

in all of the research.

412

:

And so what I am looking at doing

is using or trying to understand

413

:

what trust in AI actually is.

414

:

Trust is very hard to measure.

415

:

It's a human construct.

416

:

It's not a technological, it's

not a technological construct.

417

:

So- How can you build trustworthy AI

if we can't define what trust is in it?

418

:

Harry Moffitt: We've

almost anthropomorphized AI

419

:

Sara Kerr: 100%

420

:

… Harry Moffitt: like we do with

everything that we don't understand.

421

:

And so it's f- it's a funny

concept to say how do we trust AI?

422

:

Well, as much as you trust a tree.

423

:

Is it the wrong way to

look at it like that?

424

:

Sara Kerr: So a really nice way to

summarize it is that trust is the

425

:

willingness to accept vulnerability

to the actions of another party.

426

:

And one of the benefits is,

reduced monitoring and control.

427

:

And I quite like that because what

trust ultimately is, is it's a judgment.

428

:

It's a calibration of what we dub

as trustworthiness indicators.

429

:

And when we look for, trustworthiness

indicators, we are assessing a, concept

430

:

or a piece of information, or in this

case technology against factors such

431

:

as ability, benevolence, and integrity.

432

:

Now, one thing that really is

important with trust, is to

433

:

differentiate it from reliance.

434

:

Reliance is the observable behavioral

outcome of engaging with something,

435

:

but you can rely and not trust.

436

:

Yeah.

437

:

Trust is the psychological mechanism that

determines or calibrates the conditions

438

:

under which that reliance occurs.

439

:

Yeah.

440

:

So I dub it willing reliance.

441

:

If we find something

trustworthy, we willingly rely on

442

:

it.

443

:

This is where it gets really interesting

because what we've done is we've

444

:

built immense controls and guardrails

and assurance frameworks around AI.

445

:

And the statements are that this will

guarantee trust or this will create trust.

446

:

It's completely contradictory

to the definition.

447

:

If trust is the willingness to

be vulnerable and the outcome of

448

:

that is reduced monitoring and

control, you haven't created trust.

449

:

Harry Moffitt: Yeah.

450

:

Sara Kerr: You've just

basically put trust in a cage.

451

:

Harry Moffitt: It isn't

trust in that context.

452

:

It's, trust is misplaced

453

:

Sara Kerr: Correct

454

:

Harry Moffitt: We can rely on it or, or

find it more or less truthful, But, I

455

:

feel like a mug if I have trust in, AI.

456

:

Yes.

457

:

Particularly given its

emotional, intuitive nature.

458

:

Correct.

459

:

That's something that tr- AI or machines,

AI's just another machine, can never have.

460

:

That's where it separates.

461

:

Sara Kerr: 100%.

462

:

100%.

463

:

And you've really hit the nail on

the head there because ultimately

464

:

what defines trust is the operator.

465

:

So if we want to realize the benefits

of AI, we must have components

466

:

of trustworthiness in the system.

467

:

Trustworthiness allows us

to take or justify risk.

468

:

It enables, building of propensity, it

enables innovation, it justifies reliance.

469

:

And why trust is so important,

particularly calibrating or using trust as

470

:

a calibration metric, is because it tells

us when the operator needs safeguards.

471

:

So if you want to realize the

benefits of AI, if you understand the

472

:

trustworthiness indicators from the

operator's perspective, you can give

473

:

them the safeguards they need to rely.

474

:

But then you can also understand where

potentially trust may be misguided.

475

:

Now, trust is not purely

a positive term, right?

476

:

You can have complete blind trust,

and that's lack of- accountability

477

:

and complacency, and that's not

great, and we see that a lot with

478

:

AI, where it hallucinates or it

creates confidently wrong input.

479

:

And humans, we like certainty.

480

:

We don't like uncertainty.

481

:

We love being certain.

482

:

So AI- Yeah … offers

that certainty bridge.

483

:

And in environments such as, disaster and

emergency management, military, we can't

484

:

have trust in a system that says, "By the

way, this is 100% correct," or, "By the

485

:

way, do this action, and it's so certain",

because that's a loss of accountability.

486

:

So understanding what the practitioners

need to see from the AI information or

487

:

AI-generated information is very critical.

488

:

You can identify what policy documents

you need, or what safeguards need to be

489

:

built in the systems technologically.

490

:

But then you also give it room for us

to experiment with it, and that's where

491

:

we're stuck at the moment, particularly

in Australia, is we have systems and these

492

:

very intelligent people that are working

on these incredibly complex systems that

493

:

have immense humanitarian potential and

operators' cognitive support potential.

494

:

But they don't translate into the real

world, and that is a governance problem.

495

:

People are framing AI governance as

compliance, and again- what is trust?

496

:

Trust is not control.

497

:

Governance is an enabler.

498

:

But the metric to enable AI to

go into operational realities

499

:

is through the operator.

500

:

It's understanding what they need to see.

501

:

Because again, who's accountable?

502

:

The operator.

503

:

Regardless of what is influencing

their decision, they're accountable.

504

:

So give the control back to the

operator, and let's understand

505

:

what trustworthiness means to them.

506

:

Ultimately I'm trying to identify

what trustworthiness in AI looks

507

:

like and what we need to give the

operators from a safeguard perspective,

508

:

but also a, measured risk-taking

perspective to realize the benefits

509

:

of AI and enable and inform the

governance so that, organizations

510

:

can have confidence to experiment.

511

:

Early days still.

512

:

Harry Moffitt: Is it, um, is it as simple

as saying, you know, it's just another

513

:

bit of capability and it might be hugely

complex and hard to understand, we're not

514

:

quite there yet, but it's just another

capability that we bring to bear at the

515

:

scene that you're trying to operate in?

516

:

Sara Kerr: I would be careful

with that because what AI

517

:

does is it is probabilistic.

518

:

So it takes historical information

and data and will statistically

519

:

generate what is most probably the

correct- … or the next outcome of that.

520

:

So AI is only as good

as the data you feed it.

521

:

So I would be careful saying

it's just another capability,

522

:

because it is different to what

we've had previously- Right

523

:

In that regard.

524

:

So that's why it's important to understand

what we do trust it with or what taskings

525

:

we do give it, and what we don't give it.

526

:

Ultimately I would reframe it

more so as a cognitive aid.

527

:

It should never replace the human.

528

:

It only should enhance our cognitive

judgment or help us structure it.

529

:

Harry Moffitt: How far away are

we from seeing, drones flying

530

:

around, putting out forest fires

and, unmanned, vehicles, et cetera?

531

:

Sara Kerr: Oh, they exist.

532

:

I'd say America's way more

ahead of us in this capacity.

533

:

Australia does have drone capacity,

fire and rescue in particular.

534

:

I think in the last month, drones

deployed by fire and rescue using, a

535

:

mix of AI and thermal detection have

found lost bushwalkers, in a search and

536

:

rescue capacity, which is incredible.

537

:

We're seeing AI a lot in mapping

and computer vision, But I'd say

538

:

from the autonomous side, it's

very much trial at this point.

539

:

One thing I'd just be conscious of is

even though the technology is so cool,

540

:

and I think it's incredible, not everyone

feels the same in the fire service.

541

:

There's a misguided fear

that it's gonna take my job.

542

:

It's not gonna take your job.

543

:

These are gonna enhance your capabilities.

544

:

One thing autonomous or unmanned vehicles

can do well, is remove unnecessary risk.

545

:

They can protect lives.

546

:

What's the first way to

protect the operator?

547

:

Eliminate the need for exposure.

548

:

So again, healthy risk-taking.

549

:

What can we commit into a fire or into

a risky zone to protect the operator?

550

:

Harry Moffitt: So, how far are

you along the PhD at the moment?

551

:

Where are you at?

552

:

Sara Kerr: So I'm a year in

now, as of today actually.

553

:

And I'm just waiting for ethics to be

approved so I can start capturing my data.

554

:

I'm interested in understanding

perspectives and perceptions

555

:

of active AI use in Australian

disaster and emergency management.

556

:

So if anyone is using AI operationally,

doesn't have to be in a frontline

557

:

capacity, can be in a backend capacity

as well, or even in trial capacity, I'd

558

:

love to chat to you, understand what

you wanna see for it to be realized.

559

:

Harry Moffitt: We'll put something

in the notes, and of course, with

560

:

the Mission Critical team community

globally, we're happy to review

561

:

and then share, data collection.

562

:

There's a lot of people doing

research globally, but we try and

563

:

keep it as local as we can so we'll

assist as much as possible there.

564

:

Now coming Back to the

presentation last year.

565

:

You presented this inner command

framework that you mentioned earlier.

566

:

Something you've built for yourself

and then, shared with us at the summit.

567

:

Talk to us about the inner command

model and what it's trying to do.

568

:

It's kind of the human aspect balancing

the aI kind of thing, uh, that the-

569

:

Sara Kerr: It is, it is.

570

:

It is.

571

:

It's, um…

572

:

we are first responders,

not first reactors.

573

:

I think that was something that

came away from a time in reflection.

574

:

We're first responders,

not first reactors.

575

:

And so carrying on from that,

when you're presented with a

576

:

confronting situation, it's important

for you to respond, not react.

577

:

Responding is taking responsibility for

how you engage in what's around you.

578

:

Reacting is emotional,

irrational, highly, erratic.

579

:

So again, for me, I found that the

structure that worked for me is go back

580

:

to what matters most in this environment.

581

:

And I had a fiery who was an

ex-paramedic, and she said something

582

:

to me that stuck with me, and

that is, "Calm is contagious."

583

:

And I thought about that again

and again, and again, and again.

584

:

And so I started to go back to calm.

585

:

Calm re-centers you.

586

:

It allows you to regain your

composure and focuses your attention.

587

:

So in my inner command

framework, the first C is calm.

588

:

That's the first step.

589

:

Harry Moffitt: And did you say five Cs?

590

:

The five Cs?

591

:

Sara Kerr: Yeah, five Cs.

592

:

Yep.

593

:

Five Cs or inner command.

594

:

This will evolve as I go, right?

595

:

So Calm Is the anchor.

596

:

Once you have calm, you then are

aware of what you can Control,

597

:

which is ultimately yourself.

598

:

You can direct yourself.

599

:

And once you do that, you have

clearer thinking, and clearer

600

:

thinking can unlock action.

601

:

You have the physical skills

and the technical skills, right?

602

:

Far too often though we can't

access them because of the noise.

603

:

We're overwhelmed.

604

:

So when you have Control, then

you can access your Competence.

605

:

Training gives you the skill, so

the competence, but control lets

606

:

you access it under pressure.

607

:

After you have competence,

you have Confidence.

608

:

And confidence executed, so

executed competence gives you or

609

:

builds grounded confidence and

flow, and that comes with time.

610

:

And once you have your confidence

and it continues to build,

611

:

you can have a lot of Courage.

612

:

You can have the ability to undertake

feats that you never knew you were capable

613

:

of because you have the confidence to

trust your training, but only because you

614

:

can access your training 'cause you're in

control, and that comes back down to calm.

615

:

So many people say to me, In a stressful

situation, "You didn't cause that."

616

:

It's like, "Thanks.

617

:

I know I didn't cause it, right?

618

:

I'm trying to make it better."

619

:

Yeah.

620

:

But the problem is that there's so

many pieces to this puzzle that,

621

:

you know, we gotta access it.

622

:

So I find a lot of the time it

just comes back down to taking a

623

:

breath, looking at the situation.

624

:

And calm doesn't mean

sitting there in a Zen pose.

625

:

It could literally just be

like, "Right- Take a second.

626

:

What do I need to do now?"

627

:

That's control, then you go.

628

:

It's almost like a mantra before

you step onto that fire ground.

629

:

For me, I just take a breath

and go, "You got this."

630

:

It's just one step after the other,

but, the first step starts with calm.

631

:

We can ultimately only control

ourselves, and everything

632

:

else will follow after that.

633

:

Harry Moffitt: And in training, sometimes

we bake that in with outcomes focus and-

634

:

Sara Kerr: Yes

635

:

… Harry Moffitt: performance focus.

636

:

Whether you are 9 out of

10 or 6 out of 10- Oh, yeah

637

:

or whether I'm keeping up with

the operator next to me, or am

638

:

I impressing the instructor?

639

:

Sara Kerr: Yes.

640

:

Harry Moffitt: And often the loudest,

biggest, bully-ish instructor's-

641

:

the one most people want to impress.

642

:

It's a psychological, human want

and desire to impress people.

643

:

I remember back from my instructor

days, thinking that a lot of

644

:

candidates or some, operators,

they're so bent up, so stressed

645

:

out that they're barely breathing.

646

:

They're hold, running

around holding their breath.

647

:

Yeah.

648

:

You, because you can hear them

especially with gas masks on, et cetera.

649

:

Sara Kerr: Yeah.

650

:

Harry Moffitt: You can hear them, and

they seem to be, just simple things

651

:

like, one operator I remember wrote

"breathe" on his foregrip gloves.

652

:

Sara Kerr: Yeah

653

:

… Harry Moffitt: and it

was there in his sights.

654

:

And I'm a big fan of the

physiological side too.

655

:

Just take a deep breath, mouthful

of water when you first rock

656

:

up to a scene or where you can.

657

:

There are times of course, when

you need to get on your horse

658

:

and just get in amongst it.

659

:

And, that takes experience.

660

:

Sara Kerr: You're spot on there,

and I think a lot of good operators

661

:

get slapped with a reputation before

they've even started, and it's purely

662

:

because they wanna do well, but the

performance anxiety gets a hold of

663

:

them before they've even started.

664

:

Harry Moffitt: Something we've

been talking a lot about behind

665

:

the scenes is rate of learning.

666

:

And, and-

667

:

Sara Kerr: Yeah

668

:

… Harry Moffitt: what is that?

669

:

So there's A common ground between the

organization and the capability, if you

670

:

like, or the operator need, has a certain

rate of learning that you must fit it

671

:

within a threshold of rate of learning.

672

:

Because you can't be just training

everyone from, dot all the way through.

673

:

You've only got 14 weeks.

674

:

But there's also inside that, a

rate of learning of the operator.

675

:

And the earlier you understand that

person's rate of learning, that, they

676

:

can be the best operator overseas,

but they just might be coming

677

:

from a completely different end.

678

:

Imagine going into special operations

and you've never grown up near

679

:

the sea, never been in a pool.

680

:

You're not a great swimmer, and one of

the first tests you get is swimming.

681

:

You can be on the back foot

right from the word go.

682

:

And if Someone's grown up around a certain

kind of behavior or capability, comes

683

:

back to your point about the, the school

teacher versus the farm hand, if you will.

684

:

Sara Kerr: Yeah

685

:

Harry Moffitt: And Rate of learning has

two- kind of scales, the individuals

686

:

and allowing them to build up their

rate of learning, and then the

687

:

organization will have a imperative.

688

:

Sara Kerr: 100%.

689

:

And I wanna touch on group think, about

that quickly because if we recruit

690

:

people that just look like us and talk

like us and, have the same standards

691

:

and metrics as us, ultimately we will

continue to face the same challenges

692

:

that we've always faced because we're

not expanding our, influence pool, right?

693

:

And you got blinders on because you

can only see what you wanna see.

694

:

Um- Yeah … and it's important to

have people from different walks

695

:

of life, in this job in particular.

696

:

You've got somebody who's

great with technology.

697

:

Okay, awesome.

698

:

You may have an older firey

who's got immense experience but

699

:

is so allergic to technology.

700

:

You really are a sum of your skills.

701

:

We come into the college, or we come

into our role, with a baseline, but we

702

:

also bring with us our experiences, and

I think it's very important to recognize

703

:

the strength that everyone brings

from their past life into this job.

704

:

I'm a big believer that diversity

does foster innovation, but it's

705

:

diversity of thought, diversity of

experience, diversity of insight,

706

:

all forms your operating picture.

707

:

We want that.

708

:

If you look at, strategic ops through

the way, all the way to disaster

709

:

management, the more intelligence

sources you have, the better operating,

710

:

common operating picture you have.

711

:

The same can be said from

a recruitment perspective.

712

:

And we need to change that narrative

because what people bring to this

713

:

job is valuable from their past life.

714

:

Definitely.

715

:

Teachers bring the ability to

relate to their community, and

716

:

children about fire safety.

717

:

That's one very basic term of it, but then

that experience can translate to teaching

718

:

the next generation, being able to

communicate firefighting constructs which

719

:

can be quite complex in a simple term.

720

:

You've got people who've got a keen

interest, and want to go down the

721

:

rabbit hole of using technology

to bridge, operations, right?

722

:

You've got the tradies who are so good

on tools and can teach our firefighters

723

:

how to use tools in a more efficient way.

724

:

There's such a powerful lens of

past life and past experience, and

725

:

it's very important that we, one,

recognize people where they're at,

726

:

and two, train them technologically,

but also, from that mental capacity.

727

:

And, I don't think that we should have

that one line in the sand of you must

728

:

be 6 foot 6, you know, be able to bench

press 200 kilo, whatever it is, right?

729

:

Those are trained skills

and learned skills, and they

730

:

can be developed over time.

731

:

But what cannot be developed over time

is everyone's unique experience, which

732

:

fills the common operating picture.

733

:

Harry Moffitt: Yeah, that's right.

734

:

And you know there may be a, a need,

for, homogenous groups at times.

735

:

If you're part of a Guatemalan

fiddling band, you're only gonna

736

:

want people who can play the fiddle

and are a certain understanding.

737

:

The kind of diversity you're

talking about is spot on and it is

738

:

a dirty word out there in some…

739

:

But it's not.

740

:

It's…

741

:

The concept's profoundly important.

742

:

And one way I've heard it put by, maybe

it was by Dan Dworkis, was that if you

743

:

take a man and a woman at a conference

and they walk out that night and they

744

:

leave the conference, they've had a

couple of beers, and they walk out of

745

:

the hotel at the conference in a new city

they've never been in, and the man turns

746

:

one way down a dark street and the woman

turns another way down the dark street.

747

:

Just imagine for a moment, what are

the two different perspectives of

748

:

the man walking through a foreign

city, dark night, and the woman.

749

:

The risk profile that they

generate inside their own

750

:

thinking is completely different.

751

:

Yes.

752

:

And if I'm on a team-

753

:

and I'm planning for risk profiles, that's

the kind of thing you're talking about.

754

:

And our job, or your job, is to get

somewhere and assess risk really

755

:

promptly and balance that up.

756

:

And I think that's the kind of

diversity certainly that we think about.

757

:

Right at the very start you said something

on about organizational legacy versus

758

:

new thinking and new ways of being and

doing, and, that's of high interest to us.

759

:

I'm just…

760

:

I'm glad it's a conversation,

and it certainly wasn't when I

761

:

was coming through the ranks.

762

:

You just sucked it up and,

763

:

Sara Kerr: Did what you're told.

764

:

Harry Moffitt: Yeah.

765

:

Did what you're told and

survive and keep up or get off.

766

:

Yes.

767

:

And that we lose good operators

I think- We do … with that.

768

:

Something that struck me from your five Cs

presentation was this notion of heutagogy.

769

:

And I've talked before on the Teamcast

about developing training intelligence.

770

:

Explain to us quickly what heutagogy

is and where does it sit in the

771

:

learning framework and what you

think about how that can be applied.

772

:

Sara Kerr: To me, heutagogy is taking

control of your own learning in forms,

773

:

manners, and structures that work for you.

774

:

Not everyone's gonna learn in the

same way, in the same shape and form.

775

:

A lot of what I developed from

a personal perspective with that

776

:

command framework was driven by

a desire or an accountability

777

:

over what I was struggling with.

778

:

Heutagogy is heavily driven

through personal accountability,

779

:

heavily driven by a desire to

improve and wanting to get better.

780

:

And I think one of the thing that

needs to change is a culture of when

781

:

someone's trying to improve themselves,

it shouldn't be met with disdain.

782

:

it's not a superiority in any way.

783

:

It's somebody who is trying

to be a better operator.

784

:

And, without heutagogy you have a

risk of dulling your physical blade.

785

:

It's like using a steak knife again

and again without sharpening it.

786

:

It's going to eventually get blunt.

787

:

And so heutagogy sharpens

that technical skill.

788

:

In my circumstance, it was

also the cognitive skill

789

:

and the cognitive composure.

790

:

And I'd love to see it emphasized more

or opportunities more to go and foster or

791

:

explore things that we're interested in.

792

:

Harry Moffitt: Yeah, novelty and passions.

793

:

Sara Kerr: Correct

794

:

Harry Moffitt: and developing

curiosity, which sounds strange.

795

:

But a great way to develop

curiosity is actually let people

796

:

follow their own curiosities.

797

:

And just to place, heutagogy in people's

understanding, a, a term everyone would've

798

:

heard of is pedagogy's , and andragogy.

799

:

So these are- Yeah … pedagogy's

more child learning, if you like and

800

:

then andragogy's adult learning, where

it's kinda shared, and it's adaptive.

801

:

But heutagogy's this…

802

:

I- it's self-reliance.

803

:

A guy by the name of Percy

Cerutty talked about athletes.

804

:

He didn't want athletes to come along

and just did as he told them to do.

805

:

He gave them all these weird-ass

ways of running, run like a tiger

806

:

and growl- … while you're doing it.

807

:

Observe animals running.

808

:

Run on all different types of surfaces.

809

:

Sand, in water, on asphalt,

and on the road, wherever.

810

:

And just this broad array of experiences

so that you could learn, be curious

811

:

about what helps drive your own

inner strengths and weaknesses.

812

:

And I think it's, it's a term that a lot

of natural instructors or teachers have.

813

:

They challenge the, the individual to

train themselves and to be self-reliant

814

:

and bring out their curiosities.

815

:

A lot of us can tend to fall

back into like this, do that.

816

:

Like this, do that.

817

:

And really you're not developing

kind of a broader approach to your

818

:

own self-reliance in that case.

819

:

Sara Kerr: Something you said as well,

running on different surfaces, running

820

:

in different ways, different manners.

821

:

We're very good at training

in a perfect world.

822

:

We don't simulate when things go wrong,

and I don't think that's a great skill

823

:

for operators because things go wrong

a, a lot and they go wrong often.

824

:

Doesn't, not necessarily catastrophic

failure, but what are you gonna

825

:

do when the hydrant's capped

when you get to a house fire?

826

:

What are you gonna do when, the pump

overheats or you run out of water?

827

:

What are you gonna do

when you burst a hose?

828

:

So we're very good at training in a

perfect world of do this, all right, cool.

829

:

And it's hang on, that's

not the real world.

830

:

The real world is dynamic.

831

:

And that's also why AI struggles

because the real world doesn't

832

:

reflect training conditions.

833

:

It's the same for like our operators.

834

:

So what Percy did is also about getting

curious with being self-reliant.

835

:

What can you do when things go wrong?

836

:

And that's why I think it's again, really

important to understand that ultimately

837

:

all you can control is yourself and to

respond to the situation, not react to it

838

:

Harry Moffitt: Yeah, absolutely.

839

:

There's a, a thing called generative

learning capacity, which I

840

:

think- … is the kind of technical

term of what we're talking about.

841

:

And some- as I said, some

people have it naturally, just

842

:

like some people can run fast.

843

:

I mean, I'm a natural at drinking lots of

pints of Guinness for some reason but, but

844

:

it does happen naturally and that comes

from life, nature, nurture, et cetera.

845

:

But it can also be trained, and a lot

of that comes back to your key, key

846

:

theme, which is building trust between

the instructor or the midwife, as

847

:

Socrates would say, We are midwives to

help people birth their own learning.

848

:

It's a wonderful way, to look at it.

849

:

Percy Cerutty I think was decades ahead

of his time, and I think in 50 years

850

:

he'll still be decades ahead of his

time as the greatest coach I've come

851

:

across at least, and very inspirational.

852

:

he believes that one way to, Or my take

on what he believes, 'cause I haven't

853

:

met him, but read, read most of what

he's written, was that we can develop

854

:

curiosity and adaptive learning, or

generative learning through exposure to

855

:

art and music and philosophy and history

and the arts have been lambasted or

856

:

sidelined or maligned, in recent times in

our rush to become technologically- Oh.

857

:

But I think everybody deep down

knows now that was a bad mistake, to

858

:

have- Yeah … sidelined the arts.

859

:

They play a profoundly, important role,

and I would encourage all operators

860

:

to engage, in, in more of that.

861

:

To finish that thought up, Percy Cerutty

didn't wanna create athletes, military

862

:

or fire and rescue athletes, if you like.

863

:

He wanted to create aesthetes, A-E-

Yeah … S-T-H-E-A- E-T-E, I think

864

:

it is aesthetes, which are people

who can appreciate the whole of a

865

:

scene rather than just the parts- Wow

866

:

that they've been trained to focus on.

867

:

And I think it's a- Yeah … a

wonderful thought, from Percy Cerutty.

868

:

I don't think he's gonna tell

us much about fighting fires.

869

:

Sara Kerr: Well-

870

:

Harry Moffitt: But, certainly

broa- reading broadly is.

871

:

Sara Kerr: Well, I love to draw.

872

:

So for me, charcoal drawing is, or like

portrait drawing or animal drawing is

873

:

something that, I started to do, just to

mentally cope, but it was also to channel

874

:

or I suppose weaponize the observational

vigilance of what I saw- Yeah

875

:

And to channel it into something

that was a creative outlet.

876

:

And y- yeah, could not agree more

that the arts is completely underrated

877

:

because again, it's a learnt skill,

and they're masters of their own

878

:

craft just as much as we are of ours.

879

:

Harry Moffitt: And you need to be, when

you go rock up to a scene, a complex,

880

:

chaotic scene, y- you need to be at

your creative most curious best, yes.

881

:

Yeah Those weak signals in the maelstrom.

882

:

Yeah.

883

:

And picking your way through the noise.

884

:

Yeah.

885

:

I'll, I'm glad to hear we're on a unity

ticket, and you can- Yeah … we can

886

:

talk more about arts going forward.

887

:

'Cause I get a lot of raised eyebrows

and sideways looks when I start

888

:

talking about things like that.

889

:

Sara, it's been awesome.

890

:

Here on the Teamcast, we like to

leave people with two or three things

891

:

that they can do starting Monday.

892

:

From your experience, your research,

which I love seeing and hearing, being

893

:

involved with young operators who are

studying, I think it's a superpower.

894

:

It supercharges them in life.

895

:

What are two or three tips you

might give us that have been

896

:

helpful for you over your journey?

897

:

Sara Kerr: Yeah.

898

:

The first one is to weaponize vigilance.

899

:

I've said that a lot over this

podcast, but for me it's so important

900

:

to acknowledge that how you think,

particularly if are very aware of

901

:

what's around you and you want to do

a good job, that being consumed by

902

:

what's around you is not a weakness.

903

:

It is a protective mechanism,

and it can be weaponized.

904

:

It's a learned skill to channel it, to

your advantage, and it's about being

905

:

curious about those information sources.

906

:

Vigilance gives the operator inputs.

907

:

What is not good is when

it overwhelms the operator.

908

:

So a challenge to those on Monday is

when you weaponize your vigilance,

909

:

ground yourself back to what you

can ultimately control from those

910

:

inputs that will give you a lot of

direction for how you can structure

911

:

that and use it to your advantage.

912

:

And the second is to give

yourself credit for what you do.

913

:

I think far too often, we get told

in a fire service all the things

914

:

we do wrong, but we very rarely

actually, acknowledge what we do well.

915

:

And I think it's important,

again, it's not an ego boost.

916

:

It's more so a case of you do a good job,

and we're all learning, and particularly

917

:

as young operators, I think we can be

very hard on ourselves, particularly

918

:

when we have incredible firefighters

before us who are, just amazing operators

919

:

and have so much to teach us, and

we have so much to learn from them.

920

:

Just give yourself some credit

for what you actually do.

921

:

It's a tough job.

922

:

Harry Moffitt: Yeah, great advice.

923

:

I think, it's picked up on a deep

psychological principle there, Sara.

924

:

In the end, people will have over 11

points of, say data points of evidence,

925

:

10 of those will be positive and

great, but you'll focus in on the one

926

:

red dot- Yeah, 100% … that didn't

go so great, and then you'll forget.

927

:

And one job of, particularly clinical

psychs who do go super deep on this

928

:

stuff is to help people find all the

positive, great evidence, so you know,

929

:

I think the message there for me when

I listen to you speak is you've got

930

:

to forgive yourself for the one or two

mistakes you'll make along the way.

931

:

I promise you, you'll make tons.

932

:

Sara Kerr: Oh, yeah.

933

:

Harry Moffitt: I've made tons along

the way and will make plenty more.

934

:

So thanks so much for coming on the-

935

:

Sara Kerr: Thank you, Harry

936

:

. … Harry Moffitt: the Teamcast, and,

wish you all the best with the PhD.

937

:

We will track it with interest.

938

:

Hope to see you at a summit, soon

enough in the next couple of years.

939

:

Sara Kerr: Christchurch.

940

:

Christchurch, isn't it?

941

:

Harry Moffitt: We're off to

Christchurch at the end of this year.

942

:

Yeah.

943

:

Yes, so we're, we're

pretty excited about that.

944

:

Think we'll be back in Melbourne the

year after that, and then, Amazing

945

:

maybe Sydney.

946

:

But thank you so much for coming on.

947

:

All the best.

948

:

And,

949

:

Sara Kerr: Thank you, Harry.

950

:

Harry Moffitt: Enjoy the rest of

the research and hours studying.

951

:

Preston: Thank you again for

listening to our Teamcast.

952

:

If you found value in this discussion,

the best way to support our work

953

:

and ensure you don't miss future

episodes is to subscribe and

954

:

leave us a quick rating or review.

955

:

It'll help us reach more people who

need to hear these conversations.

956

:

For more on Mission Critical Team

Institute, including all of our episodes

957

:

and show notes, visit missioncti.com.

958

:

You can also connect with us on LinkedIn.

959

:

And if you're a mission critical

team looking to learn more about

960

:

our programs, reach out directly

to our Director of Operations, Ms.

961

:

Janese Jackson, at janese@missioncti.com.

962

:

That's J-A-N-E-S-E@missioncti.com.

963

:

Until next time, thanks

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About the Podcast

Teamcast
Mission Critical Team Institute Teamcast
Dr. Preston Cline, Dr. Dan Dworkis, Dr. Art Finch and Harry Moffit of the Mission Critical Team Institute share research and explore the questions vexing the most elite teams in the world, from Special Operations soldiers to Firefighters, from Trauma Medics to Professional Athletes, and from Astronauts to Tactical Law Enforcement.

About your hosts

Coleman Ruiz

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Co-Founder and Director of Performance, Mission Critical Team Institute

Preston Cline

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Co-founder and Director of Research and Education at the Mission Critical Team Institute
Senior Fellow, Center for Leadership and Change Management, The Wharton School, University of Pennsylvania