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From YouTube: Regen Mainnet LIVE! | Science!
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A
All
right,
we
are
live
here
in
science,
hello,
welcome
everybody
guys,
I'm
gonna
go
ahead
and
pull
gregory
up
here,
but
maybe
you
could
start
by
introducing
yourselves.
B
Okay,
I
can
start
so
I'm
july,
I'm
the
science
lead
chief
woman,
I'm
here
live
from
argentina.
I
live
close
to
buenos
aires
in
a
coastal
city
called
marbella
and
I've
been
in
the
region
team
for
almost
yeah.
I
would
say
three
years
now,
so
it's
been
a
great
honor
to
be
almost
from
the
beginning
here
and
and
joining
and
bringing
my
knowledge
to
this
beautiful
and
amazing
project.
So
I'm
really
grateful,
and
so
sam
and
sophia
are
my
team
partners.
Would
you
introduce
yourself
or
sofia
yeah.
C
Wonderful
hi,
all
thanks
so
much
for
joining
as
giselle
mentioned,
my
name
sophia,
I'm
also
part
of
the
wonderful
fabulous
amazing
region
network
science
team.
I
love
working
with
these
other
too
I'm
calling
in
from
northern
california
in
chico.
My
background
is
in
environmental
science.
I
love
and
I'm
so
interested
in
working
in
remote
sensing,
the
potential
of
using
satellite
data
to
just
better
understand
our
land
so
yeah.
We
can
really
dig
into
the
science
today
and
I'm
so
excited
to
be
here.
D
Cool
yeah,
I'm
sam,
I'm
calling
in
from
salt
lake
city
in
the
u.s.
I
also
have
a
pretty
big
background
in
academics,
and
you
know
majored
in
geography
and
computer
science
and
worked
on
a
variety
of
remote
sensing
projects
and
glaciology
and
hydrology
and
then
come
this
last
fall.
I
joined
on
with
the
regen
team
and
have
been
diving
deep
into
the
world
of
soil,
carbon
and
above
ground,
biomass
and
forests,
and
it's
been
really
exciting
to
do
this
work
so
stoked
to
have
you
guys
all
join.
E
I
won't
introduce
myself
but
I'll,
set
a
little
bit
of
framing
and
I'm
mostly
just
going
to
be
asking
some
questions
to
help
draw
out
the
wisdom
of
this
fantastic
team.
That
is
really
you
know,
I
think,
at
the
heart
of
everything.
That's
happening
at
region
network,
and
you
know
people
have
alluded
to
the
the
sale
of
carbon
credits
to
microsoft,
which
happened-
and
you
know
I
just
credit
where
credit
is
due.
E
That
was
really
due
to
innovation
and
the
leadership
of
the
science
team
and
creating
a
new
methodology
for
monitoring,
quantifying
and
verifying
soil
organic
carbon
in
grazing
systems
using
remote
sensing.
It
has
never
been
done
before,
and
this
you
know
was
innovated
and
brought
to
market
in
a
mad.
Flurry
of
you
know
intense
long
long
hours
and
really
hard
work
and
really
rigorous
science,
and
just
you
know,
microsoft
was
not
purchasing
anything
to
do
with
the
blockchain
when
they
made
their
decision
about
this.
E
They
were
purchasing
the
the
rigor
and
integrity
of
this
science
team
and
the
work
that
they
put
into
trying
to
innovate,
a
new
way
to
measure
and
monitor
soil.
So
just
kudos
to
everybody
for
your
fantastic
work
and
just
to
like
invite
the
community
to
understand
how
important
science
is.
I
think
I'd
like
to
frame
most
of
our
conversation
with
you
know
just
this
sort
of
like
the
headline
which
is
hey,
so
you
have
a
fantastic
science
team.
E
Why
not
build
a
business
model?
This
is
just
about
that
science
team
monetizing
their
epic
skills.
What
are
we
doing
here
if
we're
not
just
monetizing
your
brilliance
and
your
capability
as
a
team
of
scientists
and
what
does
region
network
need
to
succeed
from
science?
C
B
Region
network,
so
yes,
you're
right,
it
could
be
a
good
business
model
for
for
sure,
but
it
wouldn't
tackle
the
final
goal
of
creating
a
global
change
and
a
shift.
A
private,
an
inflection
point
that
we
want
to.
We
all
what
everyone
here
wants
to
to
really
really
make
possible.
B
So
the
intention,
even
if
we
have
created
some,
I
would
say-
maybe
cut
we
call
it
cutting
edge
technology,
development
or
mental
methodologies
that
are
being
are
gaining
a
lot
of
interest
and
could
certainly
be
part
of
a
model
that
the
intention
behind
that
was
only
to
show
an
example
of
what
could
be
done
and
inspire
others.
B
So
the
main
goal
of
the
science
team
is
to
create
a
whole
community
of
monitors
and
developers
of
methodologies
and
the
project
developers
and
and
the
verifiers
that
would
be
trying
to
allow
for
this
monitoring
and
verification
of
the
outcomes
of
applying
regenerative
management
globally.
So
that's
that's
the
main
intention.
B
We
see
there's
a
huge
gap
between
the
science
and
all
the
knowledge,
so
me
coming
from
the
academia,
doing
research
for
so
many
years,
working
as
a
professor
in
the
university
working
as
a
main
researcher
for
for
an
organism
that
is
very
recognized
here.
In
argentina,
I've
been
creating
papers
for
so
long.
B
So
now
I
think,
there's
a
a
gap
between
all
the
knowledge
that
that's
out
there
and
the
applied
science
and
we
could
easily
create
that
very
bridge
and
and
allow
for
the
application
of
all
this
new
technology,
which
is
emerging
at
a
really
quick
rate.
I
would
say,
although
satellites
are
all
the
iot,
everything
is,
is
emerging
quickly,
so
yeah.
We
need
to
create
the
good
conditions
so
that
everything
links.
D
C
Yeah,
I'm
hearing
a
little
feedback.
I
don't
know
if
that's
just
on
mine,
but
I
think
another
way
to
contextualize
this
as
well
is
just
the
fact
that
we've,
you
know,
created
a
methodology,
what
we
call
our
carbon
plus
and
that's
focused
on
the
grasslands
ecosystem
and
that
was
kind
of
the
first
jump
into
creating
a
credit
and
understanding
the
whole
process.
But
really
the
goal
for
us
not
only
on
the
science
team,
but
within
the
larger
network,
as
giselle
mentioned,
is
to
create
this
larger
ecosystem.
C
So
we
don't
want
to
just
stop
with
like
stop
at
grasslands.
We
want
to
expand
to
forestry.
We
want
to
look
at
cropping
ecosystems,
there's
so
many
people
all
around
the
world,
so
many
land
stewards,
doing
amazing,
work,
regenerative
practices
and
they
should
be
rewarded
for
that,
and
so
really
the
goal
from
our
perspective
is
to
create
this
community
figure
out.
What
are
the
onboarding
procedures?
How
do
we
set
up
a
network?
How
do
we
get
other
people?
C
Other
experts
in
the
field
say
someone
who
knows
a
lot
about
agroforestry
or
cover
cropping
coming
in
to
develop
separate
external
methodologies
and
then
bringing
that
into
the
network.
So
I
think
that's
just
a
good
way
to
frame
it
in
terms
of
the
big
picture.
We
don't
want
to
stop
at
grasslands,
there's
so
much
more
work
to
be
done
and
we're
excited
to
kind
of
be
at
the
start
of
this
and
looking
out
onto
the
horizon
to
see
all
the
different
opportunities
that
are
out
there.
D
Yeah,
I
think
these
guys
summed
it
up
really
well,
I
think,
similar
to
gizelle
coming
from
an
academic
background
where
you
put
in
so
much
amazing.
Work
to
you
know,
produce
a
paper.
That's
written
by.
You
know
a
lot
of
experts
in
your
field.
D
It's
it
feels
really
great,
but
one
thing
that
really
attracted
me
regen
was
the
idea
of
you
know
an
open
source
science
community,
so
we're
all
working
together
and
participating
to
you
know,
share
the
work
that
we've
been
doing,
share
data
share
tools
and
you
know
instant
instantly
get
feedback
from
one
another
so
that
we
could
further
the
work-
and
you
know,
create
tools
that
are
directly
applicable
to
the
important
work
that's
being
done
on
the
ground.
D
I
think
our
participation
in
the
open
team
community
is,
you
know,
a
really
good
sign
with
that.
You
know
there
are
a
lot
of
amazing
folks
working
there
on
soil
science
and
you
know
like
farm
management
applications
and
to
be
able
to
participate
in
a
growing
network
of
scientists.
And
you
know
software
developers
who
are
trying
to
you
know,
share
ideas,
not
reinvent
the
wheel,
but
just
like
build
on.
You
know
kind
of
the
snowball
too.
A
larger
application.
Is
it's
really
great
so.
E
Yeah,
fantastic,
I'm
gonna,
see,
if
you
guys,
can
all
mute
for
a
second,
I'm
not
sure
what
the
feedback
is
so
just
to
like
zoom
out
and
talk
a
little
bit
about
open.
E
I
think
this,
this
image
of
an
open
source
science
community,
a
community
in
which
there's
citizen
science
taking
place
in
which
academics
and
and
and
field
technicians
and
farmers
institutions
are
all
working
together
to
create
the
the
most
rigorous
and
up-to-date
way
to
to
monitor
ecological
health
and
make
sure
that
that
information
is
both
accessible
for
the
foundation
for
new
assets
like
soil,
carbon
credits,
but
also
accessible
for
decision
making,
just
to
sort
of
bring
that
to
now.
E
What
are
the
next
steps
that
are
being
taken
in
order
to
invite
you
know
you
mentioned
open
team
sam?
Maybe
what
are
what?
How
are
we
going
about?
Building
a
community
and
what
are
the
steps
that
are
necessary
right
now
in
order
to
bring
together
scientists
and
farmers
etc
to
be
creating
momentum?
Here,.
B
That's
a
good
question
too,
and
it's
not
easy
to
answer.
There
are
several
steps
that
we
considering
the
main
important
ones.
So,
on
the
one
side,
we
are
creating
in-house
methodologies,
like
the
one
we
created
for
grasslands
in
order
in
order
to
test
and
to
have
feedback
from
the
people
in
the
different
communities
of
developers
and
the
curators
of
the
mythologies
and
feedback
from
the
the
ones
that
will
be
applying
like
the
monitors
and
also
from
the
farmers.
B
So
that's
like
a
learning
process
that
we
are
going
through,
which
also
involves
a
lot
of
documentation
and
tools
that
we
are
creating
for
them
to
be
engaging
in
a
way
that
is
easy.
User
friendly.
B
Thinking
about
the
structure
and
the
architecture
along
with
the
registry,
in
order
to
create
that
user
experience
as
as
smooth
and
simple
and
easy
as
possible,
that's
one,
then
there's
a
lot
of
room
for
increasing
the
community,
from
the
open,
open
team
and
from
other
communities
that
we
see
they're
kind
of
converging
to
to
this
purpose.
B
So
we
are
connecting.
We
are
opening
channels
for
discussion.
B
We
we
are
trying
to
connect
and
also
learn
of
from
the
farmers
what's
needed
from
their
point
of
view,
and
then
sam,
for
instance,
is
creating,
is
doing
an
amazing
job
on
translating
the
in-house
mythologies
that
we
are
creating
into
something
that
is
open
and
that
could
be
run
by
by
the
verifiers
or
the
monitors
and
sam.
Maybe
you
can
speak
a
little
bit
more
about
your
digital
mrb
tools.
D
Yeah
so
yeah
like,
I
think
that
we
did
a
great
job
on
our
first
methodology
and
you
know
to
make
it
accessible
to
everyone.
You
know
going
along
with
the
idea
of
open
source
science.
Some
of
this
stuff
requires
some,
you
know
more
technical
skills.
D
I
come
from
a
computer
science,
gis
remote
sensing
background
and
to
create
and
automate
these
kind
of
geospatial
workflows
in
a
way
such
that
it's
more
accessible
to
a
variety
of
stakeholders,
whether
it's
giving
insight
to
land
managers
on
how
their
data
is
being
used
or
providing
other
monitors
or
verifiers
with
the
tools
to
replicate
the
process
and
see
you
know
the
code
that
was
used
to
play
around
with
the
data
that
calculated
these
soil
carbon
stocks
is
kind
of
just
one
effort
that
we're
there
we're
using
to
create
this.
D
You
know
platform
in
a
more
accessible
way
and
to
jump
back
to
your
question
gregory.
You
know,
in
addition
to
digital
mrv
tools,
one
thing
that
we've
been
working
on
a
lot
recently
is
creating
a
bunch
of
documentation
to
kind
of
guide
people
through
the
process
of
designing
a
methodology
or
engaging
in
a
project.
D
I
think
that
it's
it's
really
difficult
to
start
from
scratch
on
writing
a
scientific
paper
or
a
methodology
of
you
know.
How
do
you
turn
this
work
into
a
process
which
you
can
monitor
it
and
either
calculate
carbon,
or
you
know,
measure
biodiversity.
D
So,
in
the
coming
months
we
hope
to
have
you
know
a
really
good
landing
page
for
methodology,
designers
and
project
developers
on
you
know.
How
can
you
engage
either
just
contributing
your
ideas
and
talking
with
us
on
the
science
team
of?
Is
this
feasible
to
hey
I've,
written
an
awesome
methodology
and,
like
I
want
next
steps,
and
I
want
feedback
like
who,
in
the
open
source
science
community
is
going
to
provide
that
feedback?
D
I
think
that
that's
a
really
good
stepping
stone
that
we're
we're
working
on
to
kind
of
create
these
little
communities
that
are
currently
siloed,
but
you
know
we.
We
really
want
to
bring
them
together
in
just
a
kind
of
unified
way.
B
Okay,
the
longer
term
vision
is
that
we
will
create
also
an
ecosystem
of
of
people
that
could
be
living
and
working
with
region
in
order
in
order
to
provide
their
services,
so
scientists
willing
to
contribute,
but
also
to
have
a
source
of
income
could
be
could
be
working
around.
So
we
are
also
intended
to
create
that
possibility
for,
for
all
the
scientists
and
the
research
groups
around
the
world.
In
order
to
uplift
all
this
yeah.
E
Fantastic,
I'm
curious
I'd
like
to
I'm
just
going
to
check
on
the
the
time
here.
One
last
question:
I
would
love
to
just
hear
a
brief
explanation
at
a
high
level,
no
details
of
what
it
means
to
have
to
integrate
the
a
natively
digital
approach
to
to
monitoring,
reporting
and
verification
and
what
it
looks
like
what
we're,
what
we're
envisioning
to
be
possible
so
that
scientists
can
engage
to
assemble
claims
or
to
provide
insights
from
whatever
the
software
that
they're
sort
of
most
most
used
to
I'd.
E
Love
to
just
like
get
a
quick
tour
of
what
that.
What
that
looks
like.
B
Okay,
I
can
try,
I'm
not
the
best
one
summarizing
and
maybe
a
simmons
of
here
can
help,
but
the
main
idea.
The
main
main
idea
is
that
if
there's
any
claim
around
the
implementation
of
a
nature-based
solution,
there
should
be
different
actors,
verifying
that
and
if
you
have
everything
in
a
digital
way,
so
that
the
whole
process,
or
at
least
key
parts
of
the
process,
could
be
open,
transparent
and
and
verified
and
and
be
provided.
B
You
know
linked
to
the
blockchain
so
that
everything
is
trustable
and
you
can
also
reproduce
whatever
that
has
been
done
in
order
to
audit
that
claim.
That's
what
we
think
is
the
value
of
creating
everything
in
this
way
to
have
it
digital.
B
C
C
So
there's
a
lot
of
claims
out
there
that
can
be
from,
as
I
mentioned
before,
can
be
from
forestry
to
grasslands
or
cropland
type.
Really,
the
goal
with
what
we're
trying
to
do
is
to
make
sure
that
all
the
data
that
goes
into
a
certain
analysis,
a
certain
claim.
You
know,
if
we're
talking
our
carbon
plus
credits,
the
number
of
credits
on
chain
that
should
be
available
that
should
be
accessible
there
shouldn't
be
any
black
box
analysis
or
approach.
Everything
should
be
very
transparent.
C
That
is
really
why
we're
sticking
to
this
open
source
framework,
not
only
with
methodology
development,
but
also
also
with
the
verification
process
that
we
go
through
following
the
close
of
a
project,
and
you
know
this
is
going
to
develop
as
we
take
on
more
methodologies,
but
really
yeah.
It's
all
about
that
transparency
and
trust
that
we
can
can
build
surrounding
all
the
claims
that
we
make
on
our
platform.
D
Yeah
just
to
kind
of
sum
sum
that
up
and
then
add
in
a
little
bit
of
the
science
side.
I
think
that
you
know
we're
we're
at
a
place
in
our
world
where
everything's
transitioning
into
a
digital
world
and
whereas
more
traditional
science
might
have
just
been.
D
You
know
you
go
out
in
the
field
and
you
collect
everything,
write
it
down
on
paper
and
then
go
back
to
the
lab
and
you
know
send
it
around
like
we're
at
a
place
where
you
know
you
could
go
out
with
your
smartphone
and
then
collect
your
soil
sample
location,
upload,
your
soil
sample
data
and
then
send
that
to
a
server.
And
then
scientists
can
immediately
start
working
on
that.
D
You
know
we're
in
a
place
where
satellites
are
orbiting
the
globe
and
providing
you
with
a
image
of
a
same
area
every
16
days
and
so
to
be
able
to
combine.
You
know
the
the
really
important
work
that's
being
done
on
the
ground,
which
we'll
continue
to
do
with
remote
sensing
and
our
ability
to
kind
of
like
automate,
workflows
and
processes
and
share
data
across
the
world.
I
think
that
that
will
really
help.
You
know
open
the
door
for
transparency
and
more
people
working
on
this
together.
D
E
Thank
you
to
the
fantastic
regen
network
science
team
region,
network
development,
incorporated
science
team
that
is
actively
working
to
build
a
vibrant,
open
source
community,
engaging
with
our
partners
at
open
team
and
beyond,
and
just
doing
a
lot
of
really
fantastic
work.
So,
thanks
for
hopping
on
to
share
a
little
bit
of
your
insights
with
the
community
and
for
folks
who
are
interested,
there
is
an
open
science
channel
on
the
discord.
So
you
can
hop
into
discord
and
connect
with
with
our
science
team
and
other
people
who
are
passionate
about
about
librarians.
A
Thank
you.
Thank
you.
Thank
you,
science
team
for
the
win,
so
just
we're
gonna
pull
everyone
over
to
our
next
session,
which
is
gonna,
be
chatting
with
some
of
our
esteemed
partners
in
the
cosmos
ecosystem
and
and
we'll
be
seeing
you
over
there
in
just
a
minute.
Thanks
again
everybody
and
we'll
catch
it
in
60.