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Description
People in the Black community face harsher downstream effects in the criminal justice system. That's why a team of developers created Open Sentencing to expose bias and empower public defenders to address racial disparities in the judicial system directly. Join the developers who built the solution to see how it can provide insights for the public defender to aid in defending against detected bias, and ultimately reduce incarceration for members of the Black community.
Get involved https://ibm.biz/BdfSBV
A
A
B
B
Good
morning,
good
afternoon,
good
evening,
wherever
you're
hailing
from
welcome
to
another
episode
of
our
mini
series
here
on
openshift
tv
called
call
for
code
for
racial
justice.
Today
we're
talking
about
open
sentencing,
I
think
it's
a
wonderful
project
and
we'll
do
a
lot
if
we
can
apply
it
in
more
ways.
So
I'm
going
to
step
aside
and
I'll
hand
it
over
to
sabine
for
now
and
sabine.
Let's
do
like
a
round
of
introductions
for
folks
yeah.
A
Absolutely
so
sabine
dastilian,
I'm
the
product
manager
for
call
for
code
for
racial
justice
and
the
open
sentencing
team.
We
have
a
you
know,
just
a
small
portion
of
the
team
on
the
call
right
now
and
I
would
love
for
them
to
introduce
themselves.
You
know
talking
about
you
know,
just
you
know
their
title,
how
many
years
you've
been
with
ibm
and
we
can
go
from
there
so
I'll
start
with
sauron.
I
actually
like
call
people
out,
since
I
can
kind
of
see
them
better
on
the
diagram
yeah
so
sir,
on.
C
Hey
thanks
abby
hi.
This
is,
you
can
call
me
siran.
Actually,
I'm
7gb
mahindran,
I
have
been
seven
years
associated
with
ibm,
so
I'm
just
working
as
a
full
stack
engineer
for
ibm's
client
at
so
I'm
just
currently
engaged
with
atnt
research
center
dealing
with
18th
enterprise
services,
migration,
especially
with
cloud
migration
and
application
modernization.
C
I'm
happy
to
be
a
part
of
call
for
code,
especially
the
open
solution,
open
sentencing
solutions,
team
almost
for
a
year
and
I'm
happy
happy
and
as
well
as
proud
to
be
a
part
of
the
team.
I
thank
all
the
team
members
to
give
me
an
option,
as
well
as
a
chance
to
use
technology
as
a
kind
of
a
solution
to
address
some
of
the
real-time
issues,
especially
the
humanity
issues.
Thanks
for
all.
D
E
Hey,
I'm
anne-marie
fred,
I'm
a
senior
technical
staff
member
at
ibm.
I
work
in
ibm
digital
on
the
parts
of
ibm.com
where
we
sell
products
online
and
manage
your
subscriptions
by
ibm,
search
things
like
that,
and
I
got
involved
with
this
project
because
I
really
wanted
to
try
to
do
something
that
was
actively
anti-racist,
and
I
thought
this
was
a
great
way
to
get
involved.
F
Hi
everybody,
yes,
my
name
is
joanne
hill.
I
have
been
with
ibm
over
25
years
and
I
am
currently
working
as
a
business
development
leader
within
our
ibm
red
hat
marketplace.
Ecosystem
team,
which
in
which
I
work
with
business
partners
in
support
of
them
on
boarding
their
solutions
into
our
red
hat
marketplace
and
I've
been
involved
with
the
project
since
last
year
as
well
and
happy
to
be
here.
G
Sorry
yeah,
hello,
everyone
I
am.
I
have
been
with
ibm
for
past
17
years.
I
am
part
of
ibm
digital
marketplace
team
and
I
have
been
working
as
a
cloud
application
developer,
mainly
backend
development
and
deployment
related
stuff.
Recently,
I
have
joined
this
project.
It's
a
very
good
cause
and
I
would
like
to
do
my
bit
of
contribution
to
this
project.
Thank
you.
A
We
have
police
judicial
reform
and
accountability.
Where
open
sentencing
sits,
we
have
diverse
representation
where
we
have
a
solution
that
sits
there
as
well
as
well
as
some
you
know,
backlog,
hr
solutions
and
we
have
policy
and
legislation
reform
which
we
also
will
get
to
you
know
throughout
this
mini
series.
You'll
get
to
see
all
these
different
solutions,
but
again
this
is
really
about
ibmers
and
red
hatters,
who
initially
kind
of
sparked
these
different
projects
that
live
in
the
open
source
community.
A
A
You
know
anti-bigotry,
because
we
want
people
to
be
included
in
the
ways
in
which
their
lives
are
governed
and
the
ways
that
their
lives
are
affected
by
institutions
and
structures
and
open
sentencing
is
a
really
really
important
way.
I
mean,
I
think,
especially
in
our
judicial
process,
where
we
can
begin
to
do
that.
So
without
giving
away
too
much
I'm
going
to
hand
it
over
to
the
team
for
them
to
you
know,
do
a
quick.
D
That
happened
pretty
quickly.
Oh
there
we
go.
Thank
you
all
right.
So,
as
we
mentioned
we're
just
a
small
subset
of
a
large
team-
and
I
like
many
others
wanted
to
do
something
after
the
george
floyd
incident
last
year.
I
wanted
to
do
more
than
just
take
the
embrace
pledge
that
ibm
asked
many
of
us
to
take.
D
Oh,
oh,
okay,
sorry
about
that.
Oh
okay,
great
okay,
so
I
like
many
others
and,
like
I
said
on
this
college,
it's
a
subset
of
our
larger
team
on
the
left
and
there's
even
more
that
have
joined
us
since
then,
and
we've
had
some
changes,
but
we've
had
people
all
over
the
usa
and
the
globe
help
us
thinking
through
how
we
could
use
technology
data
and
ai
to
fight
systemic
racism.
D
So
I
really
enjoyed
the
last
year
getting
to
know
many
of
these
people
that
you
see
people
on
the
call.
We
have
a
lot
of
ideas
and
we
can
use
more
support.
So
that's
why
we're
here
today
to
talk
through
what
we
have
now
and
our
future?
What
we
would
like
to
do,
our
team
was
focused
on
police
and
judicial
reform.
One
of
the
areas
mentioned
and
our
problem
statement
that
we
are
trying
to
address
is
that
members
of
the
black
community
receive
harsher
sentences
for
the
same
crime.
D
D
Now,
right
now,
our
main
tool
that
we
have
out
there
that
we're
going
to
show
is
that
it's
meant
to
help
public
defenders,
as
they
accumulate
evidence,
show
bias
and
racism
within
a
certain
case
or
so
that
when
they
go
to
the
plea
or
sentencing
phase,
they
could
show
that
there
was
bias
or
racism
involved
and
help
argue
for
and
address
that
and
get
a
lower
sentence.
So
that's
our
current
tool.
That's
out
there
on
github
and
we'll
show
you.
We
have
some
bigger
goals
too.
D
A
And
even
as
we
talk
about
what
we
plan
on
doing
in
three
months
six
months
a
year,
it's
going
to
be
important
for
people
to
just
be
able
to
like
level
set
on
what
it
is
that
we're
really
trying
to
accomplish.
Without
you
know,
saying
this
would
be
a
great
button.
This
would
be
a
great
feature
really
focusing
on
the
value
we're
trying
to
deliver,
and
so
that's
what's
been
really
important,
as
we've
moved
from
you
know,
even
this
past
year
to
you
know
where
we
see
ourselves
going.
D
Okay,
great
and
I'll
just
say
I
I'm
not
a
developer,
like
others
on
the
team,
but
I've
learned
many
things.
I've
helped
with
the
github
and
we're
gonna
say
later.
You
see
this
team.
We
have
now
we're
looking
for
lots
of
other
help,
developers,
front-end
developers,
backed
and
and
we're
all
just
really
passionate
about
fighting
racism
and
I'll
turn
over
to
joanne.
To
talk
about
some
of
the
next
sets
of
data.
F
Many
of
the
team
members
were
pretty
much
motivated
after
the
tragic
events
that
occurred
here
in
the
united
states
back
in
2020,
and
they
simply
just
wanted
to
help
and
for
some
of
us
it
was
also
due
to
just
the
additional
desire
to
to
to
work
towards
some
positive
change
due
to
personal
experiences
with
racism
with
for
themselves
or
with
family
members,
and
just
overall
our
team
of
the
wonderful
set
of
volunteers
of
ibmers
and
red
hatters
from
all
over
the
world.
Just
kind
of
they
were
motivated.
F
Additionally,
we
knew
that
it
would
take
all
of
us
to
begin
making
a
change
toward
some
significant
progress
and
so
to
be
able
to
participate
in
something
participate
in
the
project
as
part
of
ibm
along
with
ib,
our
red
hat
counterparts
and
now
the
external
community.
That
means
a
lot,
so
we
feel
we
can
make
a
big
difference
with
our
solution.
F
And
so
what
we're
seeing
here
and
stage
c
mentioned
it
earlier.
As
far
as
our
problem
statement,
you
know
in
which
and
I'll
just
restate
it,
people
in
the
black
community
are
faced
with
harsher,
downstream
effects,
they're
charged
at
higher
rates,
assigned
more
significant
charges,
they're
convicted
at
higher
rates,
given
much
longer
sentences
and
denied
parole
more
often
than
people
of
other
races
for
similar
offenses.
F
So
what
we're
highlighting
here
on
this
chart
that
we
source
from
the
u.s
sentencing
commission,
you
can
see
for
the
same
crimes
they're
given
a
different
amount
of
times,
there's
a
huge
percentage
difference
in
the
length
of
sentences
for
black
men
versus
white
men
for
the
same
crimes.
So
we
wanted
to
highlight
that
okay,
so
our
solution
first
focus
on
judges.
However,
through
some
research,
we
learned
that
in
the
united
states,
most
sentencing
comes
from
the
plea
stage
of
the
process
involving
attorneys
and
not
judges.
F
Also,
the
majority
of
the
accused
are
represented
by
public
defenders
and
public
defenders,
as
highlighted
on
here
are
lawyers
that
are
appointed
to
represent
people
who
otherwise
can't
afford.
You
know
to
hire
a
lawyer
to
defend
themselves
in
a
trial
and
it's
up
to
90
percent
of
criminal
defendants
need
public
defenders.
So,
with
the
goal
of
helping
public
defenders
to
access
data
on
racism,
the
team
decided
to
make
a
tool
to
help
public
defenders
in
order
to
help
the
people
that
they
are
defending.
F
In
the
next
slide,
so
through
our
design
thinking
sessions
that
we
held,
we
further
defined
and
identified
public
defenders
as
those
needing
the
support
more
directly.
In
order
to
help
the
defendants
they
have
had
identified,
increasing
caseloads
and
budgets,
as
well
as
a
large
percentage
of
the
defendants
in
the
united
states,
are
actually
unable
to
afford
a
lawyer.
Therefore,
public
defenders
are
key
to
helping
in
this
area,
fighting
unfair
sentencing
and
those
harsher
downstream
effects
for
people
in
the
black
community
that
I
mentioned
earlier.
F
Sadly,
defendants
who
can't
afford
to
make
bond
can
sit
in
jail
for
60
days
or
more
while
the
district
attorney
decides
whether
to
arraign
them.
So
that's
a
lot
to
let's
sink
in
that's
a
long
time,
so
I'll
turn
it
over
now
to
saran
to
talk
more
about
the
design
and
the
technical
details
of
the
solution
that
we
worked
on.
A
A
You
know,
advocate,
for
their
clients,
be
able
to
do
a
good
job
and
getting
them
the
right
type
of
representation
when
it
comes
to
them
entering
the
criminal
justice
system,
but
if
they're
already
overloaded
now
like
what
are
kind
of
the
larger
implications
or
the
better
ways
which
you
think
that
open
sentencing
can
help
influence.
You
know
the
wider
system
that,
when
it
comes
to
judicial
reform,
like
what
are
your
guys's
thoughts
around
that.
D
So
when
we,
when
we
show
the
front
end
demo,
we're
keeping
in
mind
how
very
busy
they
are
and
what
we
have
for
the
public
defender
is
meant
to
understand
that
and
be
very
quick
and
easy
and
readable
you're
about
to
see
some
great
technical
stuff
that
goes
into
that,
but
we're
keeping
that
in
mind.
We
want
everything
to
be
very
easy
for
them
and
then
perhaps
it
could
go
more
to
on
their
staff
and
others
to
help
fill
this
in
for
them
one
plus
of
our
tools.
D
A
Thank
you.
I
think
it
is
yeah
I
think
like
overall
and
what
I
think
is
something
that's
indicative
of
where
I'm
kind
of
call
for
co-first
of
justice,
especially
in
this
in
this
specific
pillar.
We
want
this
to
start
the
conversation.
Of
course,
we
want
to
be
able
to
bring
it
to.
You
know
the
end
user.
A
We
want
to
bring
it
to
the
public
defender,
but
if
we
are
able
to
see
that
it's
impacting
the
lives
of
their
clients
in
a
positive
way,
if
there
are
judges
who
are
interested
in
saying
well,
how
does
this
really
work
like?
How
can
this
you
know
start
to
address
some
of
the
more
systemic
issues?
How
can
this
affect
policy?
I
think
that's
where
we
start
to
see.
You
know
like
this.
A
This
snowball
effect
where
we
want
to
ensure
that,
of
course,
it
is
transparency
that
there
are
ways
that
you
know
people
can
be
engaged
from
all
sides
of
the.
I
don't
say
like
the
jury,
room
or
the
the
courtroom,
but
this
you
know.
I
think
this
is
a
great
starting
point
to
at
least
you
know
start
to
have
those
conversations,
because
you
know
policy
change
is
needed.
D
Yeah
and
something
powerful
that
came
up
recently
was
there's
not
there's,
hardly
any
or
very
little
data
collected
at
the
plea
stage,
and
we
can
use
that
to
think
about
policies
and
many
innocent
people
will
take
a
plea
just
to
avoid
a
sentence.
They
don't
have
the
money
to
go
through
anything
further.
You
know
and
they
they're
worried
about
the
longer
sentences.
If
they
go,
they
go
and
they
don't
flee.
So
we're
thinking
about
it
from
that
way
too,
to
help
people
that
are
innocent.
E
Right,
one
of
the
things
that
oh,
I
was
insistent
one
other
thing
that
I
was
surprised
to
learn
is
that
you
know
more
than
90
of
convictions
are
actually
coming
through
plea
deals.
I
I
think
you
know
we
grow
up
watching
these
shows
on
tv,
and
we
think
that
everything
goes
to
trial
and
that's
just
not
the
the
facts
and
so
anything
that
we
can
do
to
sort
of
shift
left.
C
Hi,
so
from
the
technical
aspect
of
it,
the
open
sentencing
solution
is
basically
comprised
of
independently
scalable
and
deployable
micro
services,
and
each
service
is
having
its
own
behavior.
So,
to
start
off
with,
we
have
a
interactive
ui,
dashboard
managed
by
our
front-end
service,
and
this
service
is
designed
in
such
a
way
that
very
lightweight
and
any
kind
of
a
non-technical
background
can
go
back
and
start
using
the
service.
C
So
in
this
case
the
public
defender
can
go
back
and
register
any
new
case.
He
himself
can
go
and
register
as
an
attorney
and
he
can
register
any
new
cases.
There
is
one-
and
second
thing
is
like
the
dashboard
acts
as
an
interface,
to
provide
a
highlighted
under
detail,
the
record
which
says
what
are
all
the
discrepancy:
discrepancies
in
that
particular
case,
and
what
are
all
the
potential
sort
of
factors
which
which
basically
bringing
the
array
ratio
disparity
into
that
particular
case.
C
So
this
is
pretty
much
on
the
front
and
side
and
the
next
we
have
is
an
aggregator
micro
service.
So
this
service
is
basically
the
articulation
point
which
which
deals
out
which
acts
as
an
interface
between
the
front
end
and
the
analytic
services
I'll
come
into
the
analytics
services
in
the
later
part.
But
the
the
basic
components
of
this
aggregator
services,
like
it,
has
a
data
store
which
basically
kind
of
organized
and
inclined
towards
attorney-based
model,
where
it
stores
the
list
of
cases
and
for
each
case,
what
exactly
the
charge
and
for
each
charge.
C
What
are
all
the
sentences
that
has
been
given,
which
is
kind
of
an
outcome
as
well
as
a
proposed
one,
so
it
was
being
organized
in
that
way,
and
the
aggregator
layer
also
has
a
rest
apis
where
one
can
basically
the
ui
when
it
tries
to
create
a
new
attorney
or
try
to
create
a
new
cases,
like
all
these
components
are
controlled
by
this
rest
services,
which
which
basically
process
the
data
from
the
ui-
and
it
also
interacts,
makes
a
call
to
our
analytics
services.
So
our
we
have
two
set
of
analytic
services
there.
C
Apart
from
this,
it
also
helps
in
understanding
the
historical
analysis
on
the
u.s
sentencing
commission's
data,
which
is
the
prime
data
which
has
been
used
in
this
particular
engine
to
find
the
disparities,
especially
on
the
arrays
mentioned
in
the
case.
So
using
that
data
we
have
created
a
model
which
pretty
much
correlates
the
list
of
outcomes.
C
When
registering
your
course,
I
mean
when
registering
a
case,
so
in
that
case
it
take
those
things
as
a
request
and
then
with
the
existing
model,
which
is
trained
on
a
us
sentencing
data.
It
find
what
exactly
the
ratio
bias
and
you
and
it
use
that
as
an
output
which,
which
is
going
to
be
come
out.
As
as
a
detailed
report.
C
In
case
of
open
sentencing
model,
it
pretty
much
does
the
same
thing,
but
this
has
been
trained
using
the
coup
county
state
data.
So
in
this
case,
what
we
primarily
derived
is
like.
We
have
so
much
sort
of
data
that
has
been
came
as
a
part
of
the
case
detail
in
this
one.
We
have
taken
two
factors:
one
is
race
and
other
one
is
the
committed
term.
C
As
we
all
know,
people
from
a
specific
race
has
been
spending
more
amount
or
a
heinous
punishments
for
the
same
set
of
crime
committed
by
a
different
race.
So
keeping
this
as
an
underlying
motive,
when
we
try
to
find
what
are
all
the
set
of
insights
behind
this
using
this
county
data
as
a
graph
mentioned
so
people
from
a
specific
race,
as
I
mentioned,
used
to
spend
long
amount
of
years
or
months
in
the
jail
keeping
the
crime
as
a
constant.
C
So
in
this
case
the
crime
is
pretty
much
same,
but
the
committed
term,
which
is
the
number
of
years
spent
by
the
accused,
is
pretty
much
more
because
of
the
race.
So
in
the
open
sentencing
model
is
pretty
much
a
kind
of
a
casual
data
analysis
on
the
cook
county's
data
set,
and
it
come
up
with
the
correlation
factor
between
the
committed
term
and
the
race.
So
this
has
been
used
as
a
underlying
factor
to
predict
what
could
be
a
sentence
length
for
the
given
data
or
the
given
case.
C
E
D
All
right
back
to
me,
I'm
just
going
to
I
write
one.
Second,
I
am
going
to
go
down.
I'm
gonna
pause,
my
sharing
here,
so
what
I'm
gonna
be
doing
is
navigating
out
to
the
github
in
a
second
when
it
lets
me.
Okay,
so
everything
we've
talked
about
so
far
is
out
on
our
github,
which
I'm
trying
to
pull
up
right
now.
D
D
So
please
go
on
out
there
into
the
chat
link
and
give
us
a
star
if
you
like
what
you
see
so
far,
I'm
going
to
go
through
and
show
you
the
front
end
interface
that
this
builds.
So
as
I
scroll
through
our
open
sentencing
github,
you
can
see
our
background.
Why
we
do
it?
What
we're
trying
to
do
the
bias
detection
that
saron
just
talked
about?
We
have
a
video.
D
D
So
it's
out
there
you
can
you
can
if
you're
interested
go
out
there
and
click
on
it.
It
is
a
prototype
if
anything
here,
you're
like
oh,
I
would
like
it.
If
it
did
this,
it
did
that
that
would
be
great
join
us.
It's
open
source
and
we'd
love
to
see
your
issues
out
there,
so
this
is
ibm
open
sentencing.
So
I'm
a
public
defender,
I'm
gonna,
review
my
cases
for
today
I'm
really
really
busy.
D
So
for
this,
for
this
case
a
really
easy
meant
to
be
like,
for
you
know
somebody
who
is
not
technical.
It
opens
up
a
summary
of
what's
been
happening
for
this
person,
so
it's
overall
stat
of
the
defendant
that
would
have
a
picture
of
them
have
some
background.
What
were
they
accused
of?
So
in
this
case
you
know
they
were
charged
of
federal
drug
trafficking
in
nevada,
usa.
D
It
has
some
more
details
that
I'm
not
going
to
go
through
because
the
important
part
of
what
it
does
and
what's
new
and
innovative,
is
that
it
says
bias
was
detected
and
that
the
that
the
charge
the
prosecution
is
asking
doesn't
fit
the
crime
and
so
along
with
detecting
the
bias,
which
is
meant
to
be
really
clearly
highlighted,
to
help
prep
the
prosecutor.
For
the
conversations
about
the
sentence
being
unfair,
it
gives
some
reasoning
why
a
language
in
the
police
report
contained
bias
words,
and
this
crime
has
a
history
of
disparities.
D
D
You
know,
we've
heard
anecdotally
through
some
of
our
research
that
you
know
when
you
bring
this
up
to
prosecutors,
judges,
you
don't
always
have
a
lot
to
back
that
up
and
they're
kind
of
it's
kind
of
anecdotal
and
some
feelings
can
get
involved
well,
in
this
case
we're
showing
data
showing
why
it's
unfair,
comparing
it
to
the
exact
same
crime
and
in
the
moment
at
the
plea,
they're,
they're,
armed
with
a
reason
to
get
a
lower
sentence.
So
you
know
we're
hoping.
D
If
this
starts
being
used,
we
could
get
some
people
sooner
with
lower
sentences.
You
know
even
months
or
weeks,
lower
sentences
and
an
even
bigger
goal,
like
we
were
talking
about,
is
to
get
some
innocent
people
out
of
out
of
trouble
too.
But
you
know
we
got
to
start
somewhere
and
we
thought
this
would
be
the
most
impactful.
D
So
this
is
it
there's
some
other
things
it
does,
and
I'm
gonna
try
to
navigate,
there's
also
a
way
to
add
new
case
information.
So
we
make
that
really
easy
and
I'm
just
kind
of
clicking
and
showing
you
how
it
can
add
a
case
battery,
and
so
you
can
click
in
a
lot
of
what
they
call
like
fact,
patterns
back
details
and
that
helps
compare
more
one-on-one
for
other
sentences.
So
that's
another
feature
of
what
is
out
there
all
right
and
back
to
the
slides
all
right.
D
So
all
of
this
again
we
keep
mentioning
design
thinking.
So
our
goal
was
to
make
this
really
easy
to
the
under
resourced
public
defenders.
It's
easy
and
free,
some
of
them
don't
have
a
large
budget.
So
you
know
if
we
make
it
put
it
out
there,
people
start
using
it,
build
upon
it.
We
make
it
better
and
better.
We
make
the
interface
better.
We
make
data
entry
better,
we
hope
more
and
more
people
will
use
it
and,
as
we
gather
more
data,
it
will
be
more
robust.
D
We
have
to
think
about
how
privacy
impacts
all
of
these
new
ideas
we
have.
So
we
just
had
a
privacy
expert,
come
on
board
to
join
us,
but
we're
looking
for
all
kinds
of
help.
As
we
build
this
out.
We
think
we
could
really
help
the
community
as
we
build
upon
what
we
have
started
out
on
the
github
and
the
ideas
that
we
we
just
came
up
with
this
month.
A
D
A
I
would
love
to
you
know
before
we
kind
of
say.
I
know
that
we
have
like
a
another
question
on
like
how
would
someone
get
started
with
this
one
towards
the
end
of
the
presentation
we're
going
to
have
like
a
qr
code
that
you
can
scan
and
understand.
You
know
how,
to
you
know,
really
get
onboarded
into
the
cochlear
coca-cola
facial
justice
community.
A
There
are
currently
some
open
issues
within
the
github
for
open
sentencing,
and
you
know
in
the
next
couple
of
weeks
we're
just
gonna
have
like
a
really
tight
way
for
people
to
like
get
started
even
if
you're,
you
know
talking
about
me
in
your
second
semester
of
computer
programming,
ways
for
you
to
upskill
yourself.
If
you
want
to
you
know,
you
know,
challenge
yourself
and
do
a
little
bit
more,
but
there's
still
going
to
be
amazing
ways
that
you
can
provide.
A
G
G
G
G
If
you
are
a
developer,
you
can
go,
you
can
open
the
developer,
ibm
link
here,
which,
which
has
basically
steps
on
how
to
set
up
the
repo
how
to
set
up
the
application
locally.
This
has
all
the
details
here
on
each
of
the
repo:
how
to
set
it
up
and
run
it
locally.
If
you
encounter
any
issues,
you
can
open
github
issue
or
reach
out
to
us
on
slack
now,
let
me
move
to
next
slide.
A
A
E
Your
channel
there
was
a
question
too
that
was
relevant
to
what
you
were
just
talking
about.
Stacey
was
asking:
what
are
the
competencies
that
you
need
to
contribute
to
a
project
like
this,
and
the
good
news
is
these
different
layers
have
different
technologies
backing
them?
So
if
you're
a
front-end
developer,
the
front
end
is
based
on
angular
and
javascript,
and
then
the
if
you're,
a
java,
developer
or
learning
more
about
java,
the
aggregator
layer
is
java,
rest
apis
and
then
the
data
analysis
portion
of
it,
the
back
end,
is
implemented
with
python.
F
G
Yeah
well,
thank
you.
So
some
of
the
code
related
areas
where
we
are
looking
for
help
is
all
we
have
all
the
issues
open
in
the
github
repo.
So
you
can
browse
through
each
of
these
reports
and
look
at
the
issues
section
here.
So
some
of
them
we
are
looking
for
is
here
in
case
of
open
sentence.
Aggregator
we
are
trying
to
make
it
easier
to
support
different
types
of
authentication.
G
So
initially
we
started
with
ibm
id
support,
but
we
figured
out
that
it
has
like.
There
are
some
challenges
for
people
working
outside
the
organization,
so
we
plan
to
add
support
for
facebook
and
google
kind
of
google
id
authentication,
so
mainly
the
ibm,
app
id
authentication,
and
we
are
also
looking
for
a
documentation
on
how
to
get
started
with
carbon
components.
G
Also,
translation,
enablement
support
will
help
us
to
extend
the
reach
of
this
application
to
a
different
audience
and
we
would
like
to
upgrade
our
ui
to
node.
Well,
also,
the
one
more
change
that
we
are
looking
for
is
we
want
to
change
the
master
branch
to
main
and
for
the
non-technical
members
also,
we
have
a
lot
of
scope
of
for
contributions.
G
The
first
thing
that
I
would
like
to
talk
about
is
like
we
need
to
do
we
plan
to
do
more
interviews
and
we
need
people
to
help
us
with
the
usability
studies
and
like
people
who
can
access
our
applications
and
early
trials
and
help
us
with
help
us
with
the
inputs.
Also,
we
need
more
data.
I
think
that
is
the
more
challenging
part.
We
need
more
licensed
data,
as
mentioned
by
stacey.
We
are
using
for
the
initial
demo
and
all
we
have
been
looking.
G
We
have
been
relying
on
counting
chicago
data,
so
we
want.
We
would
need
more
help
with
the
criminal
justice
funnel.
So
we
need
to
know
exactly
what
charges
like
for
for
filing
a
charge
for
filing
a
case.
What
are
the
basic
requirements
needed
for
to
file
the
case?
Also
sentencing
guidelines?
We
need
to
be
in
more
readable
format.
Currently
we
have
it
in
pdf
format,
so
we
need.
G
G
So
we
do
not
have
enough
data
on
this,
so
we
we
plan
to
have
case
studies
with
universities
and
lost
law
schools
who
can
help
us
to
get
this
done
also
in
the
area
of
a
ai
and
ml
models,
we
need
help
from
lawyers
and
students
to
describe
the
fact
patterns
and
or
and
create
creating
the
fully
bargaining
data.
Anne
marie.
Would
you
like
to
add
something
here.
C
For
the
same,
I
would
say,
the
jargon
is
being
different
in
a
in
a
counties
data
set
versus,
even
though
it
refers
to
the
same
crime,
but
the
jargon
which
is
getting
used
on
that
dataset
is
being
different.
So
in
this
case
there
is
a
data
preprocessing
layer
being
needed
to
come
up
with
the
model
which
can
be
more
generic
can
handle
these
set
of
changes.
C
And
this
thing
like
one
as
we
as
yoshina
mentioned,
so
the
the
authentication
part,
is
one
such
where
an
area
where
initial
people
can
come
and
contribute
more,
where
come
up
with
an
single
sign-on,
which
is
more
generic
than
on
an
organization
level
where
anyone
can
go
up
and
create
an
id
and
go
up
and
signing.
So
that
is
one
of
the
a
piece
where,
like
I
see,
your
questions
have
been
asked
so
that
that
piece
is
like
for
any
newcomer
who
has
been
dealing
with
the
jwt
or
any
sort
of
authentication
mechanisms.
B
So
you
mentioned
that
the
data
isn't
like
clean
right
like
how
wide
are
the
discrepancies
from
municipality
to
municipality
I
mean.
Are
we
talking
like
they're
speaking
two
different
languages
completely
often
or
is
it
you
know
just
finding
the
right
fields
and
putting
it
in
the
right
order?
It
all
comes
out
and
json
or
something
you
know
I
mean,
is
any
of
that
sentencing
data
available
publicly
out.
I'm
asking
a
lot
of
questions
here
so
I'll
shut
up
but
yeah
like
what
are
the
inconsistencies
you
find
normally.
E
Our
yeah,
so
just
you
know,
if
you're,
comparing
like
cook
county
to
the
u.s
federal
sentencing
data
right,
I
think
conceptually
in
our
minds.
We
can
map
these
different
charges
to
each
other,
more
or
less,
maybe
80,
but
the
terminology
is
very
different.
Sometimes
there
are
crimes
described
in
one
jurisdiction
that
don't
exist
in
another
yeah.
It's
it's
pretty
complicated.
C
C
The
type
of
this
data
is
not
being
uniform
across
the
different
data
sets.
Some
elaborated
that
as
an
sa,
and
even
some
of
the
police
reports,
which
has
been
attached
as
a
detail
in
the
case,
may
also
have
a
systemic
bias
that
has
been
added.
So
you
really
need
a
specific
sort
of
a
mechanism
to
handle
these
kind
of
data,
and
especially
the
inputs
are
coming
from
various
sources
in
various
formats.
There
is
a
need
for
pre-processing,
as
I
said
earlier,
and
that
is
playing
a
huge
role
in
getting
a
generic
out
of
it.
E
Another
thing
we
had
to
kind
of
be
careful
about
is
the
licensing
on
the
data
itself,
so
some
of
the
licenses
say
you
can't
process
it
in
ways.
We
didn't
intend
things
like
that,
so
I
think
going
forward
we're
gonna
need
help.
You
know,
even
from
attorneys,
to
help
us
renegotiate
some
of
these
licenses
as
well.
B
E
E
We
definitely
raised
eyebrows
at
the
u.s
federal
sentencing
commission
website,
because
they
let
you
they
have
this
beautiful
dashboard,
where
you
can
slice
and
dice
the
data
in
many
different
ways,
but
you
can
never
compare
by
a
race
like
you
can't
have
a
graph
on
the
left
and
a
graph
on
the
right.
That
shows
the
differences
between
two
races.
Why?
Why
did
you
do
that?.
B
B
A
So
I
can
kind
of
answer
that
one
I'm
talking
about
like
the
the
trajectory
we're
moving.
Next,
that's
really
where
we
want
to
start
to
see
a
lot
more
conversations
and
engagement
like
at
the
state
level.
We
mentioned
you
know
doing
a
design.
Thinking
workshop
that
we
had
at
the
beginning
of
this
month.
A
A
Let's
build
something:
okay,
this
build
is
actually
you
know
showing
what
type
of
impact
we
can
get
validating
that
with
you
know,
policymakers,
lawyers
and
people
who
are
in
those
spaces
and
the
type
of
impact
that
it
can
have
in
practical
applications
and
then
like.
How
do
we
get
this
to
be?
You
know
piloted
and
tested
with
an
organization
who
can
show
and
share.
You
know
some
of
the
results,
so
that's
kind
of
like
the
trajectory
that
we're
on
right
now.
D
And
I
I
wanted
to
add
quickly
that
we
know
we're.
We
have
a
lot
in
mind
to
do,
but
we
don't
want
to
limit
ourselves.
We
think
we
can
do
it.
We
think
if
we
get
enough
people,
we
can
do
it
and
we
can
make
real
change
in
our
communities
so
yeah.
It
sounds
like
a
lot
but
we're
hopeful
and
we
really
think
it's
possible.
A
Right,
and
so
that's
where
we
have
like
the
call
for
technical
and
non-technical
people
to
be
engaged,
and
that's
also,
for
you
know,
even
organizations
that
wanting
to
provide
the
thought
leadership,
you
know
as
we're
building
with
style.
This
is
really
focused
on
like
how
we
don't
build
within
a
silo
again
in
the
spirit
of
open
source.
Everybody
come
one,
come
all
and
join
in
the
conversation
and
help
us.
You
know
advance
this,
but
really
focusing
on
like
getting
community
engaged
with
this
like.
A
How
do
we,
you
know,
get
the
you
know
that
feedback
loop
in
place
so
that
we're
not
just
saying
we
think
we're
solving
for
this.
But
in
reality,
when
we're
talking
about
policy,
we're
talking
about
licensing
we're
talking
about
what
can
we
identify?
What
can't
we
identify?
That's
a
slippery
slope
that
we're
not
always
aware
of
so
having
that
type
of
communication
is
going
to
be
super
super
important
as
we're
as
we're
kind
of
moving
through.
A
You
know
call
for
co-for
racial
justice
and
how
open
sentencing
gets
built
out
and
adopted,
and
with
I
know
we
skipped
a
couple
of
slides.
Did
I
want
to
leave
the
floor
open
for
any
other
questions,
comments
that
the
team
wanted
to
insert
before
I
kind
of
just
let
people
know
how
they
can
really
dive
a
little
bit
deeper
into
our
work.
F
Yeah
sabine,
it
was
just
one
slide
that
we
were
done,
but
that's
okay,
but
I
did
want
to
add
just
based
on
what
you
just
said
to
the
broader
community,
because,
as
we
have
identified,
I
mean
the
various
states,
even
local.
You
know
the
everything
is
different,
so
we
definitely,
I
know
we're
asking
about
technical
skills
that
are
needed,
but
even
generalists
are
needed
or
those
that
are
involved
in
their
community.
You
know
with
their
local
police
department
or
fire
department,
and
just
you
know,
just
the
court
system.
F
I
mean
all
kinds
of
of
areas.
We
can
use
that
those
subject
matter
experts
to
help
contribute.
You
know
to
the
to
the
project
as
well
and
then
just
every
from
every
state.
I
mean
I'm
here
in
texas,
it's
very
different,
of
course,
than
many
other
states,
and
so
I
think
it's
going
to
take
all
of
all
of
us
back
to
what
I
said
earlier
in
order
to
really
really
make
a
difference.
E
E
That
yeah
and
there's
there's
some
very
interesting
discussions
going
on
right
now
across
these
call
for
code
for
racial
justice
projects,
just
about
like
in
theory
when
you're
building,
something
like
this
with
open
source
that
processes
some
very
sensitive
personal
data.
How
do
we
segment
the
responsibilities
of
the
people
who
are
writing
open
source
code
versus
the
people
who
are
hosting
the
code?
You
know,
obviously
there
there
has
to
be
proper
production
of
this
data,
and
so
we're
also
having
some
really
fascinating
discussions
around
that
right
now,.
A
Yeah-
and
I
think
that
really
speaks
to
like
adoption,
because
people
say
oh
I'm
just
taking
it
on,
but
you
also
have
to
take
on
the
responsibility
of
being
able
to
handle
this
correctly,
and
we
want
to
be
able
to
give
that
right,
guidance
and
those
parameters
for
someone
who
wants
to
contribute
who
wants
to
adopt
it?
Someone
who
wants
to
play
who
wants
to
explore
it,
I'm
saying
you
do,
have
shared
responsibility
and
being
able
to
use
this
responsibly.
Don't
abuse
it.
You
know.
A
Do
you
know
we
try
to
you
know
you
know,
make
contingencies
against.
You
know
bad
actors,
but
again
you
can't
fail
for
everything,
but
we
really
try
to
be
proactive,
and
I
think
that
that's
the
space
that
we're
rounding
out
right
now,
especially
when
we're
talking
about,
like
you,
said
for
the
different
solutions
within
conference,
racial
justice
privacy
is
going
to
be
super
important.
How
you
handle
the
data
you
know.
A
B
A
Yeah
yeah,
but
what's
great
we're
going
to
have
time
to
figure
it
out
at
this
point,
I
don't
think
that
it's
it's
quite.
I
think
it's
gonna
continue
again
to
have
people
inserted
into
these
conversations,
but
again
being
mindful
of
just
like
the
implications
I
think
is,
is
what
we're
really
getting
at
and
what
I
think
we're
all
on
the
same
page
about
so
with
that
join
us.
Join
us
join
us
in
this
work.
Join
us
in
these
conversations
again
we're
a
couple.
A
I
mean
we're
a
year
old,
I
think
about
what
can
you
really
do
at
a
year
old?
I
think
we've
come
a
long
way
since
you
know
that
design
thinking,
you
know
workshop
we're
saying
what
do
we
really
want
to
create
back
in
june
of
last
year
to
have
them
created
something
saying
that
what
we
need
to
solve
for
these
type
of
problems?
A
What
are
some
other
things
we
haven't
thought
about,
like
being
able
to
you
know
bring
that
out
into
the
wider
world
is
super
important,
and
it's
also
going
to
be
really
fun
to
figure
out.
You
know
where
can
people
really
start
to
insert
themselves
and
so
have
that
conversation
with
us?
If
you
scan
this
you'll
be
able
to
join
our
call
for
code
virtual
justice,
community
you'll
be
able
to
access.
A
You
know
some
research,
free
services
and
credits
on
our
ibm
cloud
account
join
us
in
slack,
be
able
to
look
at
those
tutorials
find
the
different
resources
for
you
to
get.
You
know
tapped
in
and
we're
also
kind
of
just
expanding
the
program
in
really
meaningful
ways,
and
slack
is
going
to
be
the
best
way
for
us
to
continue
that
conversation
and
we'll
be
able
to
share
out.
You
know
different
initiatives
and
involving
in
the
projects
opportunities
for
mentorship
being
able
to
upskill
yourselves
attending
different
events
like
this.
A
Hopefully,
when
things
are
turned
back
in
person,
and
so
I
think
that
this
is
going
to
be
really
what
we
want
you
to
all
to
continue
the
conversation
with
us
and
we're
really
looking
forward
to.
It
really
want
to
say
thank
you
to
everyone
on
the
team.
Who's
contributed
both
in
the
room
and
out
of
the
room.
It's
been
a
delight,
and
I'm
so
happy
for
us
all
to
be
here.
Sharing
this
with
you.
B
Well,
thank
you
so
much
for
sharing
it
with
us.
I
mean
this
is
such
a
massive
problem
in
our
society
and
it
is
a
stain
on
you
know
our
national
history
essentially,
and
we
need
to
remove
it
right,
like
let's
scrub
this
out
and
let's
figure
this
out,
because
the
disparities
are
real
and
they
are
greatly
impactful
to
large
communities
and
the.
B
A
Session,
yes,
in
two
weeks
july,
13th
we're
gonna
shift
to
our
policy
and
legislation
pillars,
one
of
our
teams
there
and
excited
for
you
all
to
dive
a
little
bit
more.
And
so
you
know
what
it
looks
like
from
voting
and
policy
perspectives,
which
is
just
as
complex
and
complicated
and
just
as
fun
for
you
to
get
involved
with.
B
Amazing,
thank
you
and
tune
in
check
out
our
calendar.
If
you
are
looking
for
call
for
code
for
racial
justice
sessions,
they
are
on
there
just
do
a
quick
search
to
google
calendar.
You
can
add
it
to
your
own
calendar
and
it'll
be
there
for
you
to
join
when
you're
ready.
So
thank
you
all.
Thank
you
yoshana.
Thank
you,
sir
saron
sabine
stacy
anne-marie.
Thank
you
all
joanne.