►
Description
This talk was given at IPFS Camp 2022 in Lisbon, Portugal.
A
So,
in
a
nutshell,
what
we're
really
trying
to
do
with
new
Atlantis
is
sort
of
a
biodiversity
loss
and
climate
change
are
major
issues
which
we're
all
sort
of
increasingly
aware
of
within
the
oceans
like
the
oceans
kind
of
happen
out
there
and
are
often
the
UN
or
you
know
the
the
Forgotten
aspect
of
climate
change
and
nature
loss
and
but
they're
also
the
largest
biome
on
the
planet.
They
comprise
70
of
the
surface
of
the
oceans
and
sort
of
the
living
oceans
themselves
are
about
1.3
billion
cubic
kilometers.
A
So
it's
a
big
and
important
aspect
of
global
ecosystems
and
part
part
of
the
problem
that
we
have
today
in
the
oceans
is
that
we
are
effectively
killing
them
off
through
overfishing
and
through
pollution
and
through
climate
change,
and
so
what
we're
doing
with
new
Atlantis
is
we're
really
focusing
on?
How
can
we
align
value
creation
for
humans
with
increasing
Health
in
the
oceans?
A
And
this
is
really
the
regenerative
Finance
piece
of
what
we
do
so
refi
plus
d
PSI
is
what
we
call
reside,
although
I
think
there
are
some
people
out
here
who
are
also
popularizing,
the
term
resize
as
well.
So
in
brief,
refi
is
really
looking
at
economics
and
trying
to
re-center
economics
around
positive
externalities.
So,
as
I
think
many
people
are
aware,
our
global
economic
system
sort
of
suffers
from
many
issues
from
wealth,
inequality
to
environmental
degradation
and
sort
of
zero-sum
thinking
about
things.
Regenerative
Finance
is
really
looking
at.
A
Dsi,
as
we
all
know,
is
open
science,
and
so
given
the
scale
and
scope
of
a
lot
of
environmental
problems,
and
given
that
many
of
these
environmental
problems
are
going
to
be
heavy
data,
heavy
heavily
data
driven
issues
and
solutions
are
going
to
require
Big
Data
Solutions,
it's
kind
of
natural
to
want
to
match
refi
with
DSI,
so
that
you
can
build
an
economic
framework.
That's
powered
by
the
actual
underlying
data
to
produce
outputs
that
are
pro
both
pro-social
and
pro
planet.
A
So
how
does
the
actual
Market
mechanism
work
in
our
case,
so
at
a
high
level?
What
we're
trying
to
seek
to
do
is
essentially
aggregate
the
collective
intelligence
of
the
ocean
community.
So,
as
you
can
see,
there's
like
a
lot
of
people
in
the
ocean
Community
who
are
producing
amazing
science
and
tools
and
research,
but
they're,
very
isolated,
they're
kind
of
stuck
in
their
academic
labs
in
a
lot
of
cases,
and
they
don't
have
a
lot
of
commercial
opportunity
to
monetize
or
expand
their
work.
A
A
We
do
DNA
analysis
on
them
so
that
we
can
see
what
species
are
living
there
in
what
relative
abundance
and
also
understand
the
ecological
health
of
those
species,
and
so
that
allows
us
to
sort
of
essentially
do
preventative
medicine
for
the
oceans
and
on
top
of
that,
we're
enabling
scientists
who
are
building
ecological
trait
models,
as
well
as
also
developing
data,
sets
to
contribute
their
work
to
create
a
meta
model
that
will
allow
us
to
quantify
biodiversity
more
effectively.
And
so
what
this
enables.
A
The
scientists
to
do
is
to
contribute
their
their,
whether
it's
a
model
or
a
data
set
to
The
Meta
model
and
then,
as
those
meta
models
are,
as
their
models
are
used
in
the
minting
of
the
biodiversity
credits
they
can
get
paid.
So
if,
if
your
model
contributes
one
percent
of
the
value
to
the
credit,
you
get
a
percentage
of
every
credit
that
we
meant.
So
it's
a
way
for
scientists
to
actually
make
money
on
the
on
the
work
that
they're
doing,
which
is
fantastic,
I
think
so.
A
A
Sequence,
the
life
in
those
areas
we
can
quantify
the
life,
that's
there.
We
can
make
estimates
on
how
much
biodiversity
is
in
there,
as
well
as
also
how
much
blue
carbon
is
there
and
that
will
allow
the
oops
excuse
me
that
will
allow
the
Marine
protected
areas
to
start
to
generate
credit
values
from
or
to
generate
credits
that
they
can
sell
on
the
open
markets,
to
fund
their
resources
and
to
fund
their
conservation
efforts
internally.
A
So
what
we're
essentially
doing
is
giving
a
business
model
to
mpas,
and
we
do
that
by
with
this
open
cycle.
Here
sorry,
this
is
a
little
confusing
I
understand,
but
and
coming
back
to
the
point
about
biodiversity,
so
we
are
seeking
to
quantify
biodiversity.
This
is
a
very
big,
complex
problem.
Our
goal
is
to
really
create
a
container
for
open
Con
or
to
collect
open
intelligence
from
the
ocean
data
set
and
allow
people
who
understand
and
are
developing
functional,
trait
models
about.
How
do
you
measure
biodiversity
to
contribute
and
create
an
aggregate
model?
A
A
So
this
is
a
sort
of
quick
summary
view
of
like
the
new
Atlantis
framework,
so
the
ecological
models
get
contributed
by
the
science
Community.
The
data
sets
get
contributed
from
the
Marine
protected
areas
around
the
world
as
those
come
in
they
get
aggregated
into
the
meta
model.
The
Meta
model
then
outputs
those
Quantified
biodiversity
units
which
then
produce
revenue
streams
from
ESG
reporting
for
biodiversity,
metrics
blue
carbon,
which
I
don't
know
how
much
people
work
on
the
carbon
markets
here.
But
blue
carbon
is
a
major
area
of
opportunity.
A
The
ocean
sequester
16
times
as
much
carbon
as
all
terrestrial
ecosystems
combined.
So
it's
going
to
be
very
important
that
we
figure
out
how
to
onboard
the
oceans
for
climate
change
issues
Marine
biodiversity.
This
is
our
main
focus
like
we
think
Marine
biodiversity
markets
are
going
to
be
much
much
larger.
Excuse
me
much
much
larger
than
credit
markets
are
than
carbon
credit.
It
marks
it's
and
the
main
reason
we
think
that
biodiversity
markets
are
going
to
be
massive
is
because
life
itself
has
real
value,
whereas
carbon
is
kind
of
a
waste
product.
A
At
the
end
of
the
day,
people
don't
really
use
excess.
Co2
people
use
life,
they
benefit
from
ecotourism,
they
benefit
because
they
eat
it.
Three
billion
people
depend
on
the
oceans
for
primary
protein
and
then
there
is
also
bio
prospecting,
which
we
think
is
going
to
be
a
major
area
of
opportunity
as
well.
Bio
prospecting
is
I'm.
Sorry
excuse
me,
bio
prospecting
is
essentially
looking
in
the
Genome
of
the
ocean
to
try
to
see
what
kind
of
life
might
be.
What
kind
of
Pharma
products
or
synthetic
biology
products
might
be
resident
in
there.
A
So
a
good
example
of
something
that
we're
looking
at
right
now
is
plastic,
degrading
enzymes
in
Plankton,
and
so
can
you
imagine
if
we
could
solve
the
plastic
problem
the
ocean
by
figuring
out
what
Plankton
already
exists
in
nature
that
is
inclined
to
eat
plankton
amplify
those
genes
in
nature,
eat
the
plankton
in
the
ocean.
You
rather
eat
the
plastic
in
the
ocean,
which
creates
the
food
more
biomass
for
the
fish
which
increases
fish
biomass
overall,
which
is
a
net
positive
for
everybody
as
well
Revenue
participation.
A
So
it's
very
important
and
Kelsey
I
would
love
to
talk
to
you
more
wherever
you
went
there.
You
are
because
we
think
that
governance
is
going
to
be
a
big
piece
of
governance
and
Revenue
are
very
aligned
in
what
we're
doing
like
how
the
money
flows
is
going
to
be
super
important.
So
for
us,
the
big
Revenue
participants
are
the
mpas
themselves
and
the
host
governments
like
we
have
to
for
good
or
for
evil.
We
have
to
work
with
the
governments
around
the
world,
because
these
mpas
are
National
organizations.
A
We
also
think
it's
going
to
be
super
super
important
for
people
to
be
able
to
make
money
by
improving
the
health
of
the
oceans.
The
ocean,
the
blue
economy,
is
estimated
depending
on
Whose
estimates.
You
look
at
at
anywhere
between,
like
16
to
29
trillion
dollars
a
year,
so
it's
a
lot
of
money
that
is
potentially
out
there
to
be
made
and
to
be
monetized,
but
hasn't
yet.
Market
mechanisms
have
this.
A
We
have
this
thing
that
has
incredible
value,
but
no
price
to
it
yet,
but
we're
starting
to
see
that
as
we
bump
up
against
the
ecological
boundaries,
we
don't
start
to
price
the
thing
that
we
are
currently
assigning
a
zero
price
to,
but
that
has
huge
value,
we're
going
to
squeeze
it
until
it
will
no
longer
work,
because
you
can
squeeze
an
ecosystem
and
get
improved
performance
out
of
it
in
terms
of
economic
output.
Only
for
so
long
before
you
kill
it,
and
if
you
kill
it,
that's
a
problem.
A
So,
given
that
the
oceans
produce
50
of
the
world's
project
or
oxygen
they're,
the
world's
primary
biomass
producer
and
a
lot
of
people
depend
on
them,
as
well
as
the
global
ecosystems
and
ultimately
also
new
Atlantis
makes
money
on
this
as
well.
So
we
are
a
for-profit
we're
very
focused
on
aligning
profit
incentives
with
ecological
outcomes.
We
think
that
it
should.
A
We
think
that
being
people
should
be
able
to
make
money
by
making
the
world
a
better
place
like
the
non-profits
and
ngos
are
fantastic
but
they're
unreliable,
and
so
this
is
where
regenerative
Finance
becomes
really
really
important.
If
you
can
start
to
build
economic
systems
that
will
allow
people
to
like
align
their
well-being,
their
personal
well-being
with
the
macro
good,
then
you
have
a
real
win
on
your
hands,
so
the
platform
status
of
what
we're
doing
so.
We
just
completed
Bitcoin
around
15.
It
was
our
first
get
coin.
A
We
came
in
number
one
in
the
DSi
category
number
two
in
the
climate
category
and
number
three
across
all
of
git
coin
out
of
around
1500
projects.
So
thank
you
anyway,
that
yeah
it
was
great.
This
is
an
output
from
J
right
there
who's
our
chief
scientist
over
there.
This
is
a
good
example
of
what
the
metagenome
analysis
looks
like.
So
this
is
a
snapshot
of
some
water
samples
where
we
can
look
in
the
water
sample
and
classify
the
planktonic
ecosystem
based
on
who's
there
and
their
and
their
relative
abundance.
A
A
big
piece
of
what
we're
doing
is:
building
reinfor
reproducible,
bioinformatics
pipelines,
and
so
this
is
very
much
aligned
with
the
DSi
Labs
work
on
the
on
the
nodes,
because
reproducibility
is
a
super
important
component
of
bioinformatics,
they're,
sort
of
famously
unstable
pipelines,
because
they've
been
very
sequestered
within
Labs.
But
if
we're
going
to
build
a
credit
system
on
top
of
this,
we
have
to
have
like
full
transparency
in
the
marketplace,
so
that
people
can
like
reproduce.
A
Look
at
the
data,
look
at
the
parameter,
settings
and
reproduce
the
results,
so
they
can
have
confidence
that
the
credit
values
actually
represent
what
they
think
what
they're
claiming
to
represent-
and
yes
I
talked,
perhaps
not
as
clearly
as
I,
should
have
about
the
developing
the
open,
collective
intelligence
approach.
But
we
are
very
interested
in
working
with
anybody
who
is
interested
in
applied.
Big
Data,
applied
ocean
science,
governance
and
tokenomics,
or
just
has
a
general
interest
in
the
oceans
overall.
So
you
know
new
one
other
thing
I
should
also
mention
is.
A
We
are
I
believe
we're
well
positioned
to
scale
new
Atlantis
very
broadly,
so
our
initial
focus
is
really
within
the
science
Community
today,
but
two
of
our
founding
partners
are
well-known
photographers.
This
is
a
picture
from
one
of
them,
a
guy
named
Paul
nicklin,
who
is
the
he's
the
most
followed
photographer
on
Instagram?
So
if
any
of
you
have
an
Apple
TV
in
the
swing,
polar
bear
and
all
the
animals
that
you
see
on
there,
those
are
all
his
photos
and
his
wife
is
also
a
un
sustainability.
A
Ambassador
go
for
the
oceans,
so,
as
we
ramp
up
the
science
piece
as
we
get
the
economics
components
in
place,
we
will
then
be
starting
to
do
a
big
public
Outreach
to
really
engage
the
community
of
concerned
citizens
around
the
world
anyway.
I'd
love
to
take
questions.
If
anybody
has
any
questions
so.