►
Description
January 2022
HerWILL: A High Tech Workforce Development Program
Farhana Hasan; HerWILL
A
A
So
it
is
a
story
of
a
dream
that
turned
into
a
vision
and
how
it's
working
on
autopilot
right
now
as
soon
as
it
was
born
and
in
perfect
execution
mode
because
of
amazing
partners
like
the
south,
big
data
hub
and
other
renowned,
academia,
academic
and
institutional
partners
in
the
world.
So,
as
renate
gave
a
perfect
brief
introduction
to
her,
will
I
won't
go
too
much
into
that.
A
Artificial
intelligence
for
advances
in
optimization,
another
georgia,
tech
institution,
so
in
partnership
of
that
we're
taking
it
as
a
pilot
to
see
how
it
it's
going
to
work
out
and
then
get
it,
take
it
into
broader
circulation
in
the
near
future.
So
that's
the
plan
and
we're
really
excited
about
it.
I'll
tell
you
all
about
it
and
see
how
we
can
all
work
together
on
making
it
a
successful
event.
A
So,
to
begin
with,
I
wanted
to
give
you
just
a
brief
overview
of
her.
Will
we
started
in
2020
in
the
middle
of
kobe,
and
I
guess
what
worked
for
us
was
that
we
had
a
very
focused,
focused
worldwide
audience
wanting
to
do
something
great
great,
so
larger,
but
then
life
and
we
get
got
that
captivated
audience
with
our
digital
platform
and
very
quickly.
We
now
have.
A
It
was
a
mentoring
platform
for
women,
that's
how
it
started
and
then
miraculously
something
awesome
happened.
Experts
like
all
of
you
around
the
world
came
and
just
asked:
what
can
we
do?
What
can
we
run?
What
can
we
make
sure
happens
for
these
girls
that
girls
and
women
so
that
they
can
succeed
in
each
stages
of
their
life
and
careers,
because
our
targeted
group
are
three
categories
of
women:
highly
accomplished
rising
talents
and
women
who
are
stuck
in
life?
First
life
life
circumstances?
A
These
are
all
women
with
a
lot
of
potential
and
they
just
wanted
to
see
that
road
map
to
the
next
path
for
the
next
goal,
how
to
achieve
it,
and
that
was
the
core
idea
of
her
will
and
then
we
evolved.
And
then
we
started
working
in
six
countries
around
the
world,
and
now
we
have
about
45
000
subscribers
in
in
six
countries
and
for
on
all
of
our
platforms
and
working
on
many
different
areas,
mostly
in
personal
branding
in
financial
literacy
for
entrepreneurs
and
women
in
data
science
and
ai.
A
A
This
is
our
team
this.
This
17
women
are
working
night
and
day
from
four
continents
and
six
countries,
as
I
mentioned,
and
they
are
all
experts
in
their
fields.
In
here
we
have
anthropologists,
we
have
gynecologists,
we
have
data
scientists,
hr
professionals,
we
have
marketing
professionals
and
they
just
all
gather
together
to
help
us
out
and-
and
since
I
personally
do
not
believe
in
a
volunteer
model,
we
they
are
all
paid
as
much
as
the
organization
can
afford
to
pay
them.
A
So
what
is
the
big
vision?
The
big
vision
is
again
larger
than
life.
It's
an
equal
opportunity
world
where
women
have
the
freedom
to
reach
their
full
potential,
and
the
mission
is
to
educate,
empower
and
elevate,
that's
the
model,
and
how
are
we
doing
it?
We're
doing
it
with
picking
out
projects
that
we're
piloting,
then
we're
perfecting
and
then
we're
pivoting
pilot,
perfect
and
pivot.
These
are
the
three
ways:
that's
our
working
model
and
with
that
mission
we
we
have
started
building
a
digital
platform
of
resources.
A
You'll
see
a
glimpse
of
that
on
our
website.
But
again
it's
all
in
the
pilot
moon.
It
will
scale
up
very
soon
and
then
for
the
data
science
that
pillar
that
I'm
going
to
focus
on
today
is
the
last
pillar
that
how
we're
getting
more
women
into
stem,
particularly
in
data
science
and
ai,
in
our
workforce
development
model.
A
A
So
what
are
we
trying
to
do
is
develop
that
highly
skilled
talent
pool
and
looking
at
not
only
in
the
united
states
but
focusing
on
the
united
states,
then
spreading
it
around
the
world
to
see
how
it
works.
And
how
can
we
funnel
that
talent,
talent,
pool
to
first
to
the
us
employers
and
then
to
the
rest
of
the
world?
A
So
harwell
is
now
we
are
well
suited
to
conduct
our
first
datathon
and
in
spring,
and
specifically
we
I
I
think
we
have
finalized
the
date.
The
competition
is
going
to
happen
on
the
23rd
and
24th,
but
before
we
go
into
that,
I
would
like
to
focus
on
the
larger
problem
that
we're
seeing
so
the
problem
actually
from
the
women
point
of
view.
On
the
left
hand,
side
in
the
bcg
graph
that
you
see
it's
a
two
year,
two
to
three
year
old,
two-year-old
grandpa,
would
say
it
was
done
in
2020.
A
You
see
that
in
the
university
grads
we
have
almost
50
50
distribution
of
men
and
women.
Then,
when
it
comes
to
stem
degrees,
there
is
a
20
point
drop
to
35
and
then,
when
we
come
to
the
stem
workforce
is
another
10
drop
and
when
it
comes
particularly
in
data
science,
the
number
is
actually
the
percentage
is
actually
15
percent
for
women
and
off
that
only
3
are
african-americans.
A
So
our
focus
area
is
this.
The
last
bar
right
here
that
how
can
we
get
it
up
and
for
the
women
to
have
the
to
miss
out?
What
so
what's
happening
in
here
is
that
women
are
actually
missing
out
on
a
higher
paying
extremely
lucrative
career
path.
So
that
is
what
we're
trying
to
fix
and,
from
the
organizational
point
of
view,
there's
a
shortage
of
250
000
data
science,
talents
in
in
the
united
states
alone,
right
now
and
35
of
the
organizations
report
that
they're
having
serious
serious
issues
in
filling
out
data
science
jobs.
A
A
The
average
salary
is
100k
plus
with
a
four
year
degree,
and
then
women
make
up
only
15
of
the
graph
as
a
of
the
population.
As
I
showed
you
on.
The
graph
and
organizations
are
lacking
in
this
corporate
social
responsibility
goals
right
now,
the
diversified
workforce
in
thoughts
and
in
actions
and
in
in
skin
colors,
and
then,
where
we
come
from
geographic
and
national
identities.
A
There
they
lack
diversity
and
only
three
percent
of
women
of
color,
as
they
showed
so
that's
where
they
need
the
most
help,
so
that
that
brings
us
to
our
bigger,
larger
360
degree
solution
of
why
we
wanted
to
do
it
with
the
not
with
a
social
enterprise
like
ours.
We,
of
course
have
to
our
plan
was
to
look
at
the
problem
from
from
a
very
high
level
point
of
view
and
the
prob
our
dream
and
the
goal
is
really
big.
So
what
did
we
try
to
do?
A
We
wanted
to
quantify
and
we
wanted
to
align
it
with
world
problems
that
we're
trying
to
trying
to
solve
here.
So
we
said
that
our
grand
vision
is
to
help
achieve
true
gender
equality
by
2030
u.n,
sustainable
development
goal
number
five,
with
empowering
20
000
women
in
the
united
states,
with
high
paying
career
path
by
2030.
A
So
we
have
nine
years
to
accomplish
our
goal
and
I
think
it's
a
very
achievable
goal
with
partners
like
all
of
you
and
suggest
a
little
primer
here.
These
are
the
17
sdg,
the
sustainable
development
goals
that
u.n
established
in
2013
and
gender,
even
though
her
will's
main
goal
is
number
five
gender
equality.
A
A
So
that
is
our
model
and
that's
our
solution.
That's
how
we're
going
to
accomplish
this
and
that's
how
we
have
started
the
work
benefits
of
our
solution
is
that
we
provide
we're
not
focusing
this
one
particular
area,
we're
not
just
doing
the
data
not
just
doing
the
work
study
matching,
but
we
are
doing
a
360
view
of
the
problem
and
giving
out
the
solution,
so
that
is
providing
a
to
z,
solution,
faster
speed
to
market.
A
And
with
this
we
solved
that
particular
problem
in
a
great
deal.
So
how
is
the
event
going
to
happen
going
to
occur?
We're
going
to
we're
in
the
planning
mode
right
now
and
then
the
prps
were
where
spdh
is
going
to
be
our
primary
of
students.
We
have
the
registration
form
and
surveys
of
where
the
students
are
in
their
learning
curve
of
data
science.
Our
intention
is
to
get
women.
A
A
A
What
are
we
doing
with
the
read-a-thons,
how
to
participate
in
it
to
regression
to
prediction
and
classification,
to
the
different,
a
couple
of
things
in
machine
learning
and
then
going
into
a
little
bit
of
unsupervised
and
supervised
training
and
also
classification
and
then
ending
with
a
little
bit
of
basics
of
neural
networks?
So
that's
how
we're
planning
the
workshops
and
we
will
have
a
call
to
action.
All
of
you
are
welcome.
A
So
after
the
data
points
done
we're
going
to
choose
our
teams,
ideally
we're
going
to
have
teams
of
three
to
four
four
people
and
three
teams
will
be
winners
and,
from
with
the
winners,
will
be
messed
up
with
internships
opportunities
and
scholarships
and
rewards
awards.
That's
the
plan,
and
then
the
posting
in
the
post-even
award-winning
award
ceremony
and
leadership
conference.
A
Here
are
our
current
partners.
There
are
more
that
are
coming
joining
us
for
different
things
that
they're
offering
us,
and
that
is
the
power
of
collaboration
that
we
are
showing
for
a
non-profit
that
started
out
with
seed
fund
and
with
my
personal
life
savings
and
then
now
we're
bill
bruce
at
staffing
age
stage.
How
we
are
pouring
in
all
kinds
of
support
from
all
of
these
partners
in
the
world
to
give
us
the
best
possible
outcomes
in
the
pilot
fees
that
we're
in
so
from
that
we
go
to
the
so
has
been.
A
Yes,
we
have
actually
done
this
in
asia
in
the
beginning
of
last
year
in
january,
so
we
had
that
was
the
first
ever
datathon
in
asia,
actually
in
the
world
for
specifically
for
women
that
it
was,
it
was
done
to
the
women
and
the
workshops
were
offered
to
the
women.
The
competition
was
participated
by
the
women,
and
then
the
judges
were
also
with
women
for
the
data
on
itself.
So
we
had
170
participants
in
bangladesh.
A
That's
my
country
of
birth,
so
focused
in
that
particular
country,
and
we
had
30
13
77
participants
from
about
21
districts.
Districts
are
equivalent
to
states
over
there
and
we
focused
on
18
to
25
age
groups,
75
of
them
competed,
and
we
gathered
16
data
science
experts
around
the
world,
and
these
were
all
academic
and
academic
experts
and
also
institutional
leaders
in
high-level
positions
in
organizations
around
the
world.
A
A
So
that's
that
showed
us
and
the
interest
that
we
got
the
recognition.
It
immediately
put
us
on
the
map,
the
recognition
we
got
for
because
we
had
worldwide
attention
to
this
data
data
fund.
We
were
immediately
on
that
map
for
somebody
who
were
capable
of
doing
something
of
this
scale
and
and
to
take
it
to
the
us
and
europe
so
proof
of
concept
again.
A
So
these
are
the
four
workshops:
we're
only
able
to
offer
four
workshops
last
time
and
we're
focusing
to
double
that
dish
this
year
for
hands-on
workshops,
you'll
get
a
if
they
were
about
two
hours
each.
You
get
the
entire
workshops
on
our
website
when
you,
when
you
get
a
chance
and
here's
our
qr
code,
that
will
take
you
directly
there.
A
So
the
phase
one
workshops
and
datathon
that
we're
planning
again
pipeline,
we
we're
pretty
much
replicating
the
same
model
18
to
25
age
group.
We
are
now
targeting
only
200
students
to
participate
in
the
workshop
itself
themselves
and
then
and
then
the
datathon
based
on
their
interest
and
their
competence.
A
They
will
stay
and
that
will
determine
how
we
conduct
them
so
pipeline
and
women
of
color
come
from
universities
that
we're
all
partnered
with
through
sbdh
and
ai4opt,
and
all
of
you,
hopefully
we're
going
to
teach
data,
science
theories
and
applications,
as
I
mentioned
before,
conduct
the
data
line
with
the
real
life
real
world
data
set.
That
is,
that
is
a
key
point
and
key
takeaway
encourage
them
to
take
to
continue
their
year,
their
careers
in
data
science
leadership
conference
and
offering
them
the
resources,
job,
pairing,
internships
and
mentoring.
A
We
have
a
successful
poc
in
asia,
we're
collaborating
in
great
partners,
and
we
have
an
amazing
amazing,
global
advisory
council
where
dr
renata
is,
is
a
proud
member
of
we,
the
future
of
future
of
work
that
is
virtual
and
very
conducive
to
women.
Women's
particular
lives
and
their
all.
The
responsibilities
that
the
unfair
share
of
the
domestic
responsibilities
we
have
it
supports
it
and
we
have
a
proven
tech
track.
Rep
record.
The
ultimate
key
differentiator
is
a
strong
leadership
team
that
we
have
and
also
the
part,
our
partners
and
collaborators
around
the
world.
A
So
this
is
the
core
team
that
that
is
working
on
this.
This
is
me,
of
course,
and
tanzim
hawk
is
working
out
of
netherlands
and
she's
a
data
engineer
by
training
and
now
an
operations
lead
at
her
will.
Dr
carolina
worf
is
a
datathon.
Lead
is
working
off
of
munich
and
dr
edda
koppelman.
Als
also
is
our
research
lead
who's
working
off
of
from
munich?
A
We
have
a
couple
of
people
added
from
germany
and
edit
from
bangladesh
that
we
haven't
added
in
the
core
team
yet,
but
we'll
be
there
soon,
so
key
takeaways.
What
have
we
learned
so
far?
It's
a
big
dream
with
an
amazing
execution
plan,
so
the
vision
and
the
execution
are
going
hand
in
hand.
So
we
are
really
proud
of
the
progress
that
we
have
made
so
far,
and
we
have
no
doubt
that
we're
going
to
be
amazingly
successful
in
the
coming
weeks,
months
and
years.
A
A
Yes,
there
are
particular
asks,
are
right
here
and
thank
thank
you
for
taking
me
there.
So
collaborate
for
again,
as
I
said
in
the
long
term
opportunity,
but
for
now
we
are,
there
is
a
call
to
action
for
data
sets.
So
if
you
have
any
particular
data
set
that
you
would
like
us
to
take
a
look
at
and
give
them
for
the
actual
competition,
we
will
be
happy
to
evaluate
them.
So
that
is
one
thing
and
then
trainers
for
the
workshops
keynote
speakers
for
the
leadership
event.
A
We
are
looking
for
mentors
and
supervisors
and
judges
actually
for
the
actual
datathon
and
with
some
expert
experience
in
the
data
on
how
it's
run
and
what
we're
going
to
do.
Of
course,
funding
is
a
great
thing
that
would
would
love
to
get
from
any
of
you
and
wherever
and
then
also
connect
with
other
organizations,
universities
and
institutions
that
you're
working
with,
so
it
is
a
it
is.
These
are
the
specific
asks
we
have
right
now,
so
please
feel
free
to,
as
nana
said,
feel
free
to
work
with
me.