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From YouTube: Hyperledger Supply Chain SIG -Tokenization to improve Agriculture Supply Chains - Johannes Pulsfort
Description
Supply Chain SIG - Tokenization to improve Agriculture Supply Chains Johannes Pulsfort, Doctoral Candidate / Teaching and Research Associate at Vienna University of Economics and Business in the Institute for Transport, Logistics and Supply Chain Management.
Johannes focuses on blockchain technology research in supply chains and how to apply blockchain technology in real-world use-cases. Furthermore, Johannes works as an academic researcher for the blockchain interface startup Riddle & Code and acquired supply chain strategy experience as a BCG and Accenture strategy and management consultant.
“The digital transformation of agricultural supply chains creates new challenges for a safe, secure, and efficient data exchange between agricultural supply chain stakeholders. This digital transformation requires establishing end-to-end supply chain visibility and transparency of product movements and provenance within the supply network from product origin to final consumer. Blockchain can help resolve challenges related to traceability, transparency, and security in supply chains by ensuring data protection from non-authorized revision, tampering, or deletion. In addition, leveraging exponential technology, in particular distributed ledger technologies (DLT) and blockchain that allows for data tokenization, storage of verified impact data, and securitization has created the opportunity to rethink and articulate new categories of business and financing models in agriculture. This webinar will focus on how tokenization and blockchain can improve family farmers’ ability to achieve economic prosperity and promote more responsible supply chains.”
Blockchain and AI on Lifelong Healthcare - Diógenes José Firmiano, IAsis
In a world where health has become a fundamental part, technologies such as blockchain and artificial intelligence have become fundamental in our lives. Brazil implemented in the midst of a pandemic the National Health Data Network implemented using Hyperledger Fabric and today has more than 1 billion records. This project is the foundation for providing health data interoperability and enabling the implementation of a personal health record aligned with the GDPR and creating a health avatar. This structure of healthtech 5.0 allows the application of artificial intelligence to make medical decisions along the lines of a support system for clinical decisions.
To learn more about Hyperledger, the open source community focused on developing a suite of stable frameworks, tools and libraries for enterprise-grade blockchain deployments. Which serves as a neutral home for various distributed ledger frameworks including Hyperledger Fabric, Sawtooth, Indy, as well as tools like Hyperledger Caliper and libraries like Hyperledger Ursa click here: https://www.hyperledger.org/
Session Details & Slides (if available)- https://sched.co/j3ax
Access All Sessions: https://events.linuxfoundation.org/hyperledger-global-forum/program/schedule/
----
Hyperledger – Open Source Blockchain Technologies
Hyperledger is an open source community focused on developing a suite of stable frameworks, tools and libraries for enterprise-grade blockchain deployments.
It serves as a neutral home for various distributed ledger frameworks including Hyperledger Besu, Fabric, Sawtooth, Indy, as well as tools like Hyperledger Avalon, Cactus and libraries like Hyperledger Aries, Ursa. Learn more about Hyperledger projects: https://www.hyperledger.org/use
Case Studies: https://www.hyperledger.org/learn/case-studies
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#Hyperledger #HyperledgerGlobalForum2021 #Blockchain
A
A
There
you
go
and
I'll,
let
them
talk
a
little
bit
more.
So
before
we
get
going
with
johannes
here
a
couple
things
I
put
in
the
chat,
the
hyper
ledger:
antitrust
policy
we're
open
here
we
want
to
have
all
all
opinions,
valued
things
that
you
share
are
part
of
the
open
world
there.
So
don't
share
any
proprietary
information
that
you
don't
want
out
there
and
you
can
read
it
at
your
at
your
leisure.
A
A
So
they've
been
meeting
weekly
over
the
last
few
weeks.
So
look
for
something
there
and
let's
see
I've
had
a
couple
calls
here
with
the
rfi
small
project,
where
let's
try
to
come
up
with
some
sort
of
questions
and
probably
be
focused
more
around
logistics,
with
a
little
bit
around
trade
finance
and
a
little
bit
around
sustainability
and
we're
going
to
try
to
maybe
do
something
with
the
climate
action
group,
as
well
as
the
trade
finance
group
here.
So
look
for
a
little
bit
more
there
always
looking
for
more
volunteers.
A
So
with
that,
let's
move
on
to
our
presenter
here,
fun
fact,
with
johannes
here
he
played
tennis
on
scholarship
at
the
university
of
south
carolina,
so
he's
a
gamecock
and
also,
if
you
ever
want
to
talk
tennis,
you
can
talk
tennis,
but
today
he's
going
to
talk
about
a
project
that
he's
been
working
on
for
a
few
years
here.
Actually
it
was
funded
by
the
un
food
and
agriculture
organization
out
of
rome.
I
became
aware
of
it
and
I
was
interested.
A
I
thought
it'd
be
valuable
because
there's
been
an
increasing
interest
in
tokenization,
be
in
the
hyperledger
community
and
so
he's
done
some
work
associated
with
tokenization
and
specifically
an
agricultural
supply
chain.
So
I
thought
it'd
be
good
for
johannes
to
share
with
us
some
of
these
thoughts,
and
hopefully
they
can
spark
further
thoughts
on
each
one
of
us
on
the
individual
projects
that
we're
working
on
or
group
projects
that
we're
working
on.
So
with
that
johannes,
I
will
turn
it
over
to
you
perfect.
B
Thank
you
so
much
phong.
Thank
you
so
much
for
having
me
I'm
delighted
to
be
here.
My
name
is
johannes
pultzford,
I'm
actually
a
doctoral
candidate
here
at
the
vienna
university
of
economics
and
research,
and
in
the
last
couple
of
years
I've
been
focusing
mainly
in
my
research
on
blockchain
and
supply
chains,
that
is
by
nature,
a
very
broad
topic.
Nevertheless,
I
broke
it
down
to
three
supply
chains.
In
my
research,
one
is
agricultural
supply
chain
which
you
will
see
today.
B
The
second
one
is
about
plastic
supply
chains
and
circular
plastic
supply
chains,
and
the
third
one
is
around
automotive
supply
chain
and
logistics,
and,
as
I
said
today,
I
will
focus
on
the
agriculture
supply
chains.
So
the
topic
of
my
talk
of
my
research
talk
will
be
impact,
tokenization
and
innovative
financial
models
for
responsible
agriculture
supply
chains.
This
research
has
been
done
directly
for
the
united
nations,
fao,
food
and
agriculture
organization.
B
Their
headquarters
is
in
rome
and
they
are
very
much
looking
forward
to
also
contributing
and
helping
to
actually
solve
the
or
reach
the
united
nations
sustainable
development
goals,
and
I
will
come
to
that
later
yeah.
That's
my!
The
story
of
today
and
that's
also
my
background
and,
of
course
I
also
work
for
other
startups
or
research
agencies
next
to
my
phd
and
I'm
happy
to
talk
about
that.
Also
after
the
talk,
so
the
agenda
for
the
today
will
be
the
purpose
of
the
research
paper.
B
The
key
research
findings
that
we
got
from
expert
interviews.
We
interviewed
over
24
experts
from
around
the
world
and
for
the
topics
of
blockchain
agriculture,
supply
chains
and
impact
investment
models
and
the
second
part
or
the
second
topic
is
event
tokenization
and
impact
measurement
and
verification
in
the
agriculture
supply
chain.
Then
how
to
monetize
tokenized
impact
as
an
investment?
B
What
kind
of
results
do
we
get?
What
kind
of
recommendations
can
we
give
and
then
we
can
also
get
dive
into
questions
and
answers.
Hopefully
I
can
answer
your
questions.
At
least
I
will
try.
So
the
purpose
of
the
paper
was
actually
directly,
as
I
said,
from
the
united
nations.
They
asked
us
to
do
a
research
on
agriculture
supply
chains
and
basically
here
you
see
that
we
base
our
research
on
the
guidelines
or
guidance
of
the
oecd
fao
for
responsible
agriculture
supply
chains.
B
This
document
is
actually
a
blueprint
of
how
responsible
agriculture
supply
chain
should
be
done
in
the
future,
and
our
model
is
then,
of
course,
to
combine
tokenization
and
impact
investment
models
in
order
to
actually
enhance
these
guidelines
and
actually
move
towards
the
real
realization
of
them
by
the
means
of
technology
and
finance.
So,
as
you
can
see
here,
the
purpose
is
clearly
to
show
how
to
how
these
new
forms
of
impact
measurement
and
verification
and
tokenization
can
be
leveraged
to
test
innovative
financial
model
that
models
that
incentivize
more
responsible
agriculture
supply
chains.
B
B
That's
a
lot
of,
let's
say,
qualitative
information
that
we
got
and
we
try
to
summarize
it
in
three
key
key
research
findings
that
we
found
out
and
the
first
one
being
the
performance-based
financial
models
where
payments
are
dependent
on
measurable
impact
targets,
so
really
connecting
impact
targets
with
payments
provides
significant
opportunity
to
generate
both
impact
and
financial
return
for
investors
and
can
attract
a
larger
pool
of
impact.
First
investors.
B
B
So
here
also,
the
dimension
of
strategic
governance
comes
into
play.
What
is
out
there
currently?
How
can
we
use
it?
How
can
we
leverage
and
actually
enhance
it
through
blockchain,
and
how
can
we
use
the
technology
in
combination
with
the
financial
frameworks
in
order
to
promote
responsible
agriculture
supply
chains
in
the
future?
So
these
kind
of
three?
B
If,
if
you
stop
listening
now-
and
you
got
only
these
three
points
from
me
and
that's
let's
say
on
a
high
level-
or
you
should
remember-
but
of
course
the
details
also
matter,
and
especially
in
research-
we
also
dig
much
deeper,
but
this
is
kind
of,
let's
say
the
executive
summary,
and
I
of
course
encourage
you
to
keep
on
listening
and
and
try
to
learn
more
about
these
subjects,
as
I
think
they
are
very
important,
also
or
interesting.
I
hope
between.
B
B
You
have
some
certificates
around,
but
you
never
know
if
you
couldn't
trust
these
certificates
and
with
a
blockchain
based
solution.
You
actually
start
to
implement
a
very
much
data
driven
approach
and
we
want
to
tokenize
these
events
along
the
along
the
processes
and
and
the
steps
and
measure
the
impact
and
verify
it.
So
then
we
might
have,
for
example,
there's
a
supplier
who
is
actually
saying:
okay,
here's
agriculture
and
livestock
inputs,
which
are
then
sold
to
producers
and
registered
on
a
on
a
blockchain
solution
or
dlt
ledger
technology
for
x.
B
You
could
try
to
enter
the
data,
then
the
producer
is
actually
taking
also
the
the
single
x,
or
at
least
the
carton
above
it,
in
order
to
make
sure
that
this
data
point
then
can
travel
along
with
it
with
a
good.
Then
the
processor
and
and
the
government
also
needs
to
inspect
the
data
and
see.
Okay,
is
this
egg
or
chicken
or
whatever
poultry
product
you
have?
Is
it
actually
living
up
to
the
compliance
and
and
the
rules
that
we
have
set
up
and
the
distributor
wants
to
maybe
show
that?
B
Okay,
the
the
way
the
product
is
traveled,
it
always
had
a
certain
temperature
and
it
was
always
safe.
It
was
always
measuring
the
conditions
the
customs
can
see.
Okay,
is
this
all
done
correctly?
Are
the
certificates
in
place
and
the
retailer,
then,
of
course,
can
can
say?
Okay,
maybe
it's
hot
and
less
eggs
are
used,
or
maybe,
if
it's
less,
what
more
apps
are
used
to
real-time
forecasting
of
how
to
see
the
demand,
because
you
now
have
data
input
and
you
can
actually
also
try
to
model.
B
When
do
you
need
a
certain
product
in
which
store,
so
it
actually
also
breaks
breaks
a
room
for
for
ai
and,
of
course,
the
consumer
in
the
end
wants
to
know.
Where
is
the
product
coming
from?
How
can
I
get
a
complete
history
of
the
product
and
that
in
the
end,
can
be
done
by
a
qr
code
which
is
then
attached
to
the
final
product,
which
is
can
be
seen
by
the
consumer
and
just
scanned
by
a
regular
smartphone
yeah?
B
B
So
basically,
tokenization
means
that
we
can
try
to
bring
in
the
data
points
from
individual
events,
and
then
we
verify
this
events
based
on
the
data
points
that
is
basically
needed
to
to
create
a
token
and
for
to
be
minted
into
an
impact
event.
Token.
It
needs
to
run
through
a
burden
of
proof.
It
needs
to
show
that
it's
actually
true
and
I
will
show
the
models
behind
that
later.
B
But
just
here
as
a
high
level,
let's
say
mind
map,
if
the
token
or
if
the
data
points
do
not
match
the
criteria,
it
will
not
be
verified
and
then
actually
goes
to
the
trash
and
the
tokenization
on
individual
events
provides
actually
the
foundation
for
impact
investment
models
or
for
these
innovative
financing
models
yeah
so
event
triggered
performance
based
tokens
function
on
a
smart
contract.
So,
let's
assume
there's
an
investor,
and
this
investor
wants
to
say:
I
invest
in
esg
criteria
or
impact
criteria
which
is
defined.
B
Then
he
will
put
in
the
money
into
a
smart
contract
which
is
connected
to
as
growl
account.
Then
the
implementer
and
seller
needs
to
show
that
the
event
actually
serves
the
right
data
points.
Only
if
the
event
is
verified
this
event,
information
gets
locked
into
the
smart
contract
and
then
only
then
the
smart
contract
gets
actually
executed
and
also
takes
in
the
event
verification
data,
and
this
impact
event
token.
This
trick
is
actually
minted
yeah
and
then
this
token,
then,
can
be
re,
reassessed
or
re
distributed
to
the
investor.
B
Who
then
can
show
to
this
stakeholders?
Okay,
look.
I
have
these
tokens.
These
tokens
have
these
data
points
and
I've
invested
the
some
x
and
I
have
made
this
impact
and
it
can
be
done
on
a
very
individual
basis
and
even
also
then
accumulated,
but
you
can
go
down
to
the
smallest
detail
and
data
level,
which
makes
sense
and
of
course,
traditionally
impact
financing
was
more
like
a
black
box.
So
as
an
investor
you
give
money
and
then
you
get
a
nice
report
at
the
end
of
the
year
saying
yeah.
B
Thank
you
very
much
for
your
contribution.
This
is
what
we
have
done
with
your
money,
but
you
actually
cannot
probe
and
go
into
the
details
of
it
and
with
our
solution
with
impact
financing
with
100
impact
attribution,
we
can
actually
link
the
outcome
directly
to
the
performance,
so,
for
example,
you
give
money,
you
say
you.
B
I
want
to
only
provide
money
to,
let's
say
the
unscg
number
one,
which
is
no
poverty,
and
this
money
is
actually
just
used
for
these
kind
of
impact
events
and
that's
actually
the
true
beauty
of
blockchain
and
tokenization
that
you
can
break
it
down
on
such
an
individual
level
and
verified
individual
events
of
course,
then
serve
as
a
high
level
impact
outcome.
So
the
combination
of
let's
say
a
thousand
or
ten
thousand
small
events
can
have
a
substantial
effect
on
unsdgs
or
even
globally.
B
B
Maybe
the
the
small
farmer
doesn't
get
the
money
that
that
he
should
get
in
order
to
also
prosper
and
not
have
his
skills
worked
for
for
for
his
on
his
on
his
field,
but
rather
go
into
education
and
actually
develop,
moreover,
and
blockchain
creates
for
for
for
that.
Transparency
for
the
data
points,
so
location
date
photos
confirmation
codes.
B
This
all
can
be
combined,
it's
immutable
because
it's
chained
together
the
blocks
of
information,
so
the
data
cannot
be
manipulated
unless
the
community
agrees
and
the
change
is
public
and
each
token,
with
associated
data
is
assigned
to
one
owner
through
the
personal
organ
organization
who
funded
it.
That
makes
also
this
ownership
very
important
and,
on
the
right
hand,
side.
You
see,
of
course,
how
you
can
do
it,
for
example,
for
ether
or
with
the
ether
scanner
for
ethereum.
You
have
a
hash
from
a
certain
problem
that
is
attributed
to
the
ethereum
blockchain.
B
Normally
it's
the
erc20
token,
which
is
a
token
standard
and
which
is
then
logging
the
data
behind
it.
But
you
only
see
the
hash
and
then
the
hash,
of
course
contains
the
information
that
is,
that
is
needed.
Yeah
there's
also
a
meaningful
output
measures
for
input
for
impact.
The
I
so-called
iris
catalog
of
of
metrics-
and
this
is
very
important
in
order
to,
for
example,
measure
the
right
kpis
for
the
sustainable
development
goals.
So,
for
example,
the
average
client
agriculture
yield.
How?
B
How
much
do
you
make
per
hectare
for
for
for
a
certain
period
of
time?
So
the
organization
knows
what's
going
on
what
type
of
scale
we
look
at
and-
and
this
is
very
important
because
it
makes
it
measurable,
and
you
can
then
say
the
impact
of
my
investment
is
some
or
I
invest
some
x
and
the
impact
is
y.
So
it
makes
it
very
very
specific.
A
B
A
Okay,
good,
thank
you
any
other
questions
out
there.
Just
while
I
got
a
break,
we
got
a
break
here.
Folks
want
to
ask
johannes
on
some
of
the
token.
By
the
way
you're
honest,
I
did
like
the
the
how
you
explain
exactly
how
the
tokenization
and
smart
contract
exactly
is.
Probably
the
simplest
chart.
I've
seen
so
on
that
one.
B
B
But
maybe
the
value
attached
to
it
in
in
weighting
the
average
score
is
less
than
if
it's
an
iot
generated
data.
So,
on
the
left
hand
side
you
see
the
spectrum
from
basic
technology
to
advanced
technology,
especially
with
regards
to
agriculture
supply
chain.
So
smart
smartphones
can
can
shoot
videos
or
photos
to
verify
a
certain
point.
B
So
this
is
very
important
to
understand,
because
this
continuum
is
kind
of
also
a
way
to
to
value
the
data
quality
and
what
does
it
mean
for
supply
chain
farm
to
shelf?
And
basically,
as
let's
assume,
we
have
an
iot
so
based
supply
chain,
which
is
then
using
the
technology-based
data
collection
from
the
farm.
So
it
can
monitor
the
soil
moisture
how
much
water
was
consumed,
leak,
detection,
tracking
of
farm
equipment
livestock
trekking.
B
So
you
can
imagine
taking
a
constant
video
or
a
movement
of
the
cows
and
if
the
cow
or
if
the
livestock
starts
to
behave
differently
from
the
normal
behavior,
maybe
it's
sick
or
there's
something
going
on
and
and
and
you
can
directly
intervene
instead
of
just
measuring
the
impact
and
and
the
problems
afterwards.
But
actually
you
can
try
to
solve
the
problem
at
hand
and
farm
to
warehouse,
of
course,
temperature
monitoring,
humidity,
monitoring
like
light
exposure,
location
of
the
trap.
B
When
is
the
the
product,
then,
when
is
the
produce
moving
from
a
to
b
to
c
and
so
on?
The
smart
warehousing
again
tracking
of
equipment,
water
metering,
service,
buttons,
temperature,
humidity,
motion
detection?
What
is
maybe
someone
taking
out
something
of
the
warehouse?
Is
there
something
going
on
something
fishy?
So
you
can
try
to
to
understand
that
the
technology
can
serve
as
a
as
a
means
to
improve
the
overall
supply
chain
with
technology.
Also,
you
can
optimize
the
distribution.
B
B
C
B
That
could
yeah
you
can
you
can
be.
You
can
have
this
opinion
that
you
say
that
the
data
which
is
on
the
farm
is
only
relevant
to
the
farmer,
but
perhaps
also
the
end
consumer
wants
to
know
the
story
of
the
product
and
the
data
points.
So
if
it's
not
only
the
location
but
also
the
farmer
himself,
his
story,
the
data
points
from
this
farm,
so
it
depends
also
on
the
scrutiny
that
the
end
consumer
might
have
on
how
much
information
they
want
to
have
for
the
final
produce.
B
B
All
right,
yeah
opportunities
here,
of
course,
with
a
blockchain
and
iot
based
solution.
You
have
real-time
information
near
real-time
information
available.
You
have
much
more
granularity
in
your
data.
You
have
increased
reliability
and
validity
of
the
data
we'll
come
to
that
in
the
next
slide.
How
we
can
do
that
we
can
lower
the
cost
over
time
and
increase
efficiency,
and
also
one
aspect
is
the
entire
topic
of
food
waste
and
lots
of
products.
B
If
you
know
more,
if
you
have
more
data,
then
you
can
also
improve
that
and
not
have
so
much
waste
and
loss
of
of
of
material
and,
of
course,
in
the
beginning,
it's
expensive
to
to
set
the
system
up.
It
will
require
an
upfront
investment
and
perhaps
is
also
why
investors
are
so
important
here
because
they
can
provide
their
necessary
incentives
here
in
order
to
to
do
such
a
project
in
the
pilot.
Perhaps
it
requires
training
yeah,
so
you
need
to
understand.
Why
is
the
solution
actually
good?
How
can
I
do
it?
How
is
it?
B
How
is
it
beneficiary
to
to
me
as
a
farmer,
for
example,
it
requires
perhaps
a
new
workflow,
so
disrupting
the
old.
The
old
structures
and,
of
course,
there's
parts
in
the
planet
where
we
don't
have
proper
internet
access,
so
also
this
needs
to
be
taken
care
of,
but
can
be
a
good
investment
in
the
future,
because
it
can
make
sense
to
connect
remote
places
to
the
internet
and
whatever
ramifications
that
can
have
for
the
local
community.
B
Exclusion
criteria
could
be,
does
not
pass
the
due
diligence
and
the
value
criteria.
Data
only
contains
text
from
a
new
data
collection.
So
again,
this
humanized
data
problem
data
fails
verification
checks.
So
if
you
try
to
triangulate
the
data
and
someone
says
it
was
sunny
and
then
reality,
google
and
satellite
images
show
a
huge
band
of
rain.
Then
this
cannot
be
true
and
then,
when
we
move
towards
completeness
and
uniqueness
of
the
data
points,
we
have
tailored
cross-sectional
and
longitudinal
validation
checks.
So
this
can
be
also
automated.
B
We
know
this
data
point
must
be
true
because
it
has
been
meeting
all
these
criterias
and
then
you
can
have
the
highest
confidence
and
100
chance
of
impact
occurrence,
and
you
can
measure
it.
So
that's
always
important
to
to
to
remember
that
we
need
to
measure
also
the
impact
in
order
to
make
it
attractive
for
investors,
and
here
are
some
examples.
B
B
A
Okay-
and
my
general
sense
is-
is
that
the
thought
is
anything
that
comes
from
a
human
is
less
to
be
trusted
than
anything
that
comes
from
a
sensor.
Exactly
is
the
way
you're
thinking
about
it.
Okay,
I'm
too,
I'm
I
have
that
going
around
in
my
mind
a
little
bit
and
I'm
not
quite
there,
but
I
I
I
just
wanted
to
make
sure
I
understood
what
you
were
saying
here:
yeah
I'll,
let
you
continue.
B
Perfect,
thank
you
so
some
examples.
For
example,
here
we
have
a
data
point
that
says:
okay
look
looks
quite
rainy
right
background
is
a
location
of
the
google
map.
Then
the
google
maps
zoom
matches
the
background
and
says:
okay
yeah.
It
looks
like
that
there
and
then
we
have
a
data
point
and
a
photo
where
someone
is
picking
up
something
on
the
17th
of
november
2019
and
then
the
exit
made
a
meter.
B
So
I
will
not
go
through
all
the
details
here,
but
it
just
shows
you
in
a
mathematical
approach
of
how
to
come
to
a
final
score,
which
then
can
be
compared
to
other
data
points,
and
over
time
this
database
will
also
grow
and
say:
okay.
If
we
get
these
kind
of
data
points,
we
know
that
it
must
be
true
with
a
confidence
of
99.5,
and
you
see
also
this
weighted
score.
So
you
can
also
play
around
here
with
with
with
the
weights.
C
B
A
So
so
I
think
just
a
question
I
had
there
was
it
sounds
like
you're
advocating
you
know,
probabilistic
waiting
as
opposed
to,
I
think
a
lot
of
us.
You
know,
especially
if
you
think
about
it
from
a
defy
it's
either
here
or
there.
It's
a
black
and
white
type
of
thing,
so
you're
saying
probabilistic
is
probably
a
better
way
to
trigger
some
sort
of
impact
event.
B
That's
that's
kind
of
also
the
nature
of
it.
Okay,
yeah.
I
think
I
will
try
to
speed
up
a
little
bit
looking
at
the
time
but
yeah.
This
is
basically
the
case
study
where
we
incentivize
sustainable
supply
chain.
So
this
is
effective,
effective
case
study,
where
we
try
to
showcase
what
we
did
with
our
approach.
B
So
bamboozle
is
a
furniture
brand
specializing
in
retail
sales
sustainably
produce,
bamboo
furniture
sustain
chain
is
actually
the
bamboo
furniture
supplier
needs
upfront
investment
and
the
sustainable
agrifund
is
an
impact
investor
who
wants
to
give
capital
to
sustain
chain
at
seven
percent
interest,
and
then
the
goal
of
course
is
to
get
sustained
chain
gets
rewarded
for
sustainable
production.
Bamboozle
promotes
impact
to
customers
and
minimizes
risk
and
supply
chain,
and
sustainable
agrifund
makes
financial
return
while
investing
in
impact.
So
this
is
kind
of
the
best
case
scenario.
B
Then
we
have
this
kind
of
impact
metric
selection,
where
we
we
could
look
at
fair
wages,
work,
hours,
condition,
packaging.
We
look
at
different
data
points
that
we
can
have
from
from
sustain
chain,
and
then
we
prove
this
data
points.
We
do
it
via
technology,
perhaps
as
cameras,
but
also
other
means
of
verifying
and
and
collecting
the
data
we
verify
it
against
and
against
the
model
that
I
proposed,
and
then
we
tokenize
the
data
and
then
we
get
also,
if
sustain
chain
hits.
B
The
target
booster
continues
to
order,
purchase
orders
and
every
sustainable
agri
fund
reduces
interest
rate
on
the
loan,
because
it
can
actually
take
the
value
from
the
from
the
yeast
cheek
or
from
the
impact
criteria
which
was
defined
in
the
beginning
and
yeah.
I
think
it's
important
here
to
understand
that
we
can
monetize
this
tokenized
impact
as
an
investment,
and
then
we
come
to-
and
I
will
go
through
this
just
rather
quickly.
B
This
is
just
to
keep
in
mind
and
sorry
if
I
go
quickly
now,
but
I
also
want
to
leave
some
time
for
for
questions
answers.
The
interest
bearing
performance
based
model
for
pay
for
success
is
the
one
that
we
identified
as
being
the
the
one
which
we
have
in
our
analysis
for
our
results
and
the
financial
model
is
called
interest
bearing
pay
for
success
model
and
it
works
the
following
way:
the
payer
or
the
agrees
to
fund
a
verified
impact.
If
impact
targets
are
achieved,
then
the
investor
pays
upfront
to
fund
impact
delivery.
B
So
this
is
the
stage
where
the
money
gets
unlocked.
Then
the
implementer
uses
upfront
funds
to
deliver
impact
within
defined
time
period.
Then
the
verifier
verifies
data
to
ensure
impact
was
achieved.
The
investor
and
payer
receive
impact
data
and
the
payer
pays
back
investor
investors
principal
plus
interest
if
the
impact
was
achieved.
So
this
is
really
much
focusing
on
impact
and
making
sure
the
impact
was
achieved
and
that
only
then
unlocks
the
the
funds
to
go
back
back
to
back
to
the
investor
and
also
the
implementer
and
yeah.
I
will
not
go
through
this.
B
This
would
take
too
much
time
now
also
to
to
to
explain
this,
but
just
in
a
in
insurance
models.
Impact
insurance
models
might
be
also
a
way
in
the
future
to
to
think
about
these
financial
models
yeah-
and
that's
just
so.
I
mentioned
it,
but
let's
focus
on
on
on
what
I
presented
today
and
here
we
also
just
show
a
model
of
how
we
came
to
the
conclusion
that
the
interest
bearing
pay
for
this
for
success
model
is
the
one
that
we
seem
to
have
the
best
score.
B
So
we
looked
at
financial
return,
accessibility,
replicability
and
regulatory
feasibility,
and
we
thought
okay,
the
interest
bearing
paybook
success
model
is
performing
better
than
the
other
impact
in
investment
models.
And,
finally,
last
but
not
least,
I
will
come
to
the
final
recommendation
so
support
the
development
of
a
democratized
pay
for
success
investment
platform
and
promote
the
piloting
of
impact-based
loans,
because
this
can
be
a
game
changer
of
how
to
create
responsible
and
agricultural
supply
chains
all
right
a
little
bit
more
than
30
minutes.
Sorry
about
that.
Any
questions
from
the
group.
A
A
A
Where
any
of
these
a
capital
improvement
model
I
couldn't
quite
tell,
and
what
I'm
thinking
of
this
is
people
yeah.
They
get
into
yield
farming
with
cryptocurrencies,
but
most
of
them
are
in
for
the
capital
appreciation
bitcoin's
going
to
go
to
the
moon,
blah
blah
blah
and
all
that
kind
of
stuff.
So
I'm
just
wondering
if,
if
you
spend
some
time
on
the
capital
appreciation
aspects
of
this.
B
And
that
has
an
impact
actually
in
the
end
on
the
value
of
the
of
the
capital
of
the
agriculture
supply
chain
itself,
yeah
so
long-term
view,
not
not
like
your
quarter
to
quarter
thinking
which
you
have
in
let's
say
publicly
traded
companies,
but
rather
long-term.
Looking
okay
planet
earth
is
providing
us
with
a
habited
planet
and
we
are
not
using
it
appropriately
and
then
actually
in
the
long
run.
B
A
C
C
Gonna
have
to
give
me
a
pass
on
that
one
so
yeah
and
so
and
your
presentation
was
you
know,
exhilarating
to
in
large
part,
and
I
feel
that
the
focus
on
investment
is
something
that
is
appropriate
in
today's
time
with
brexit
and
how
the
central
banks
are
working
together
and
how
investors
are
going
to
be
able
to
profit
and
all
of
these
things,
and
so
it
just
raises
an
issue
with
me.
With
regards
to
taxation,
have
you
given
any
thought
to
taxation.
B
I
mean
I'm
not
a
taxation
pro
professional,
but
by
shedding
more
light
into
what
was
previously
a
black
box
and
by
tokenizing
individual
events.
I
believe
that
the
taxation
regime
or
taxation
schemes
can
be
applied
much
more
fair
because
you
now
shed
light
into
what
was
previously
unknown
or
not
very
transparent.
So
by
having
this
data
layer,
which
provides
the
transparency
into
the
different
steps
of
the
agriculture
supply
chain.
I
believe
that
the
taxation
system
can
then
check.
Okay
at
this
location,
it
was
changing.
B
C
But
that
is
what
I
was
thinking.
You
could
possibly
have
an
interest
in
also
exploring
the
intra
firms
like
in
in
you
know,
like
you
have
one
corporation
and
they
have
little
corporations.
They
have
little
companies
little
intro
firms,
you
know
within
their
larger
corporation
and
to
be
able
to
manage
all
of
those
taxable
events
is
where
I
was
going.
B
Yeah,
I
think,
with
tokenization
you
can
make
that
measurable
and
through
tokenization
and
the
smart
contracts
you
can
even
not
only
think
about
what
I
was
trying
to
explain
today,
but
also
also
about
payment
processes,
text
processes.
You
can
actually
load
that
up
in
the
smart
contract
and
say
if
it
leaves
this
company
and
goes
to
this
other
intra
company,
then
this
needs
to
be
executed
or
released
in
terms
of
payments
or
or
authorship,
and
this
can
be
done
through
blockchain
and
tokenization.
That's
the
beauty
of
it.
C
A
Okay,
beautiful
well
we're
going
to
close
up
shop
here,
johannes,
thank
you
very
much
for
sharing
your
thoughts
here
and
your
research
and
yeah
your
sponsored
research
search
actually
and
giving
us
some
ideas
that
we
can
use
to
implement
in
future
projects
as
we're
going
forward
here
there,
folks
that
are
listening.
Recording
thanks
for
listening
here,
thanks
folks,
folks
that
participated
live
here
and
we'll
look
forward
to
regathering
in
two
weeks
so
enjoy
the
rest
of
the
day.
Everybody
wherever
you
are
in
the
world
thanks
a
lot
bye.