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From YouTube: Education & Workforce WG | Using hackathons and datathons to turn despair into empowerment
Description
February 2022
Using hackathons and datathons to turn despair into empowerment;
Patty Ordonez Franco; University of Puerto Rico – Rio Piedras
A
So
I
just
have
to
say:
oh
no,
what
is
going
on
here
here
we
go
so
things
really
changed
for
me
and
for
a
lot
of
people
on
the
island
after
hurricane
maria
that
was
september
20th
on
2017.,
just
the
the
amount
of
devastation
that
it
did
was
incredible
and
nothing
I've
ever
experienced.
I
wasn't
even
on
the
island.
I
was
actually
in
california
doing
a
sabbatical
and
like
across
the
bay
from
the
fires,
and
so
what
it
really
did
to
me
was
to
make
me
realize
wow.
A
We
really
have
to
do
something
about
climate
change.
There's
like
there's,
really
it's
happening
everywhere,
but
that's
not
the
that's,
not
the
motto
here.
So
I
wanted
you
to
see
what
the
devastation
looks
like
and
why
this
devastation
is
so
horrible
and
so
part
of
it
is
that
in
puerto
rico
you
know
everybody
knows
about
the
beaches.
What
they
don't
know
is
in
the
middle.
A
You
have
a
lot
of
mountains,
it's
actually
very
mountainous
and
very
rugged,
and
so
you
have
like
these
little
two-lane
roads
and
even
one-lane
roads
that
go
up
the
mountains
and
around
the
mountains
and
squiggle
through
the
mountains
and
so
tons
of
water.
What
it
does
is
damage
the
infrastructure
to
the
point
that
nobody
on
this
little
top
mountain
top
could
actually
have
access
here.
The
bridge
was
completely
devastated.
This
was
the
most
devastation
on
the
island
and
the
most
sensitive
it's.
A
A
The
got
stuck
in
politics,
it
got
stuck
in
everything,
and
people
had
to
actually
fend
for
themselves
and
fend
for
their
neighbors,
and
this
just
makes
me
really,
and
so
then
there
was
this
whole
false
news
narrative
that
there
was
only
16
people
who
died
from
the
hurricane
and
everybody
knew
it
was
very
different,
and
this
came
to
life
for
me
because
I
was
saying
hey
how
great
the
puerto
rico
only
had
16.
I
was
touting
about
it
on
facebook,
and
my
friends
were
like
patty.
A
Everybody
knows
that
it's
a
false
figure
and
I
was
like
what
how
could
the
president
be
doing
false
news
and
it's
yeah.
It's
become
too
much
of
a
reality
now,
but
so
what
ended
up
happening
is
that
they
wouldn't
release
the
data
they
wouldn't
make
it
open
to
the
public,
and
so
there
was
no
way
to
make
calculations
or
estimations.
And
finally,
this
is
one
of
the
themes
of
what
I'm
trying
to
show
is
that
we
need
collaboration
with
with
you
know,
top
research
universities.
A
There
were
estimates
from
you
know
an
independent
producer
on
the
island.
There
were
lots
of
estimates,
but
when
this
one
came
out
what
it
did
was
it
forced
the
governor
because
cnn
actually
interviewed
the
governor
and
forced
the
governor
to
actually
make
the
data
public,
and
this
was
actually
a
wrong
estimate.
But
this
is
the
number
that
I
mean
it
was
an
overestimate
and
when
he
did
the
estimate,
he
actually
showed
the
big
the
standard
deviation
that
has
a
huge
standard
deviation.
This
is
based
on
only
30.
A
I
mean
he
gave
a
whole
bunch
of
explanations,
but
the
number
stuck
and
right
there
was
when
I
saw
the
power
of
of
of
data
science
right
and
and-
and
I
teach
this
to
my
students
all
the
time.
This
number
is
not
the
accurate
number
it's
actually
3
000,
which
was
calculated
by
the
government
later
on.
But
if
this
study
had
not
been
done-
and
it
had
not
been
done
from-
you
know
harvard
which
has
this
incredible
reputation-
we,
it
would
have
never
changed
the
course
of
history
in
puerto
rico.
A
So
what
this
actually
led
to
was
in
2019
massive
protests
as
a
result
of
seeing
the
you
know
the
lack
of
infrastructure.
This
is
basically
a
third
of
the
island
came
out
from
all
classes
to
protest,
the
governor
and
his
his
managing
of
the
of
the
of
the
of
the
hurricane
as
well
as
his
tweets
that
came
out
so
his
his.
A
There
was
only
two
people
that
were
doing
autopsies
at
the
time
to
certify
deaths,
so
just
to
show
you
the
power
of
a
number-
and
I
just
also
want
to
share
with
you
like
at
the
end
of
the
day
it
rained-
and
this
is
just
it-
was
such
an
incredible
day
for
so
many
people.
I
get
emotional
on
this
so
anyway
also
creative
ways
that
people
protest.
It's
funny
because
I
normally
don't
like.
A
2017
this
article
came
out
is
puerto
rico,
being
ethnically
cleansed
for
the
super
rich,
like
people
were
starting
to
wonder
like
is
this,
why
the
money
isn't
coming
and
it
because
without
that
money,
people
were
basically
losing
their
livelihood,
the
infrastructure
wouldn't
let
them
go
to
work.
It
was
horrible,
and
so
many
deaths
were
lost
that
didn't
need
to
be,
and
if
you
look
up
rafael's
research,
he
also
did
after
after
he
got
the
correct
numbers.
A
A
Basically
people
started
coming
to
try
and
create
a
crypto
utopia
in
puerto
rico
and
right
now,
cryptocurrency
is
actually
it
wasn't
approved
by
the
government,
but
these
people
are
coming
and
they're
doing
it,
and
this
basically
was
an
article
last
week,
the
one
on
the
far
right.
It's
a
rush
for
a
slice
of
paradise
and
parrot
and
and
puerto
rico
talking
about
the
entire
thing
of
buying
up
the
lands,
the
beach
lands,
the
prices
going
up
and
now
pushing
out
people,
it's
basically
an
island-wide
gentrification.
A
Now,
that's
not
the
only
thing
that
was
happening
on
the
island,
so
I
want
to
show
you
this,
because
I
want
to
see
the
number
of
academic
year
interruptions,
so
I
I
hope,
I'm
getting
the
despair
part,
so
2016
financial
crisis,
basically
puerto
rico,
was
not
able
to
pay
it.
It's
debts
too.
I
don't
remember
who
so
I
just
put
two,
but
it
has
to
do
with
wall
street
and
and
hedge
funds
people.
So
the
idea
was
now.
How
is
the
government
going
to
stop?
A
In
2017,
they
attempt
to
close
the
public
universities.
There
are
11
public
universities
that
led
to
they
wanted
to
close
eight
of
them
and
that
led
to
a
70-day
protest
by
students
where
everything
was
shut
down
and
we
had
to
teach
through
the
summer,
as
we
also
you
know,
did
other
work
that
we
had
to
do
through
the
summer
in
the
fall
of
2020,
the
hurricanes
came
so
that
was,
I
never
saw
the
other
like.
I
never
saw
the
other
stuff
as
part
of
systemic
racism.
A
Now
I
kind
of
start
to
see
it
that
way,
as
I'm
seeing
like
how
these
people
are
coming
in
and
taking
over
and
then
2018
those
that's
the
influx
of
of
of
investors
and
increased,
increasing
disparity
on
the
islands.
2018
also
was
a
time
where
blackouts
and
earthquakes,
due
to
fracking
offshore
started
to
happen
and
2019
the
summoner,
the
the
the
summer
governor,
I
say
sees,
but
it
sees
the
light,
but
I
forgot
to
put
the
light
and
then
basically,
you
have
the
early
pandemic
in
2020..
A
So
I
wanted
to
show
you
this,
because
what's
really
important
is
to
understand
that
our
students
have
not
had
a
normal
semester.
There
are
students
now
that
are
graduating,
that
have
not
had
a
normal
semester,
and
that
makes
them
super
resilient
right,
but
it
also
does
another
thing
which
it
basically
has
taken
an
opportunity
for
them
to
meet.
A
lot
of
people
do
a
lot
of
stuff,
and
so
how
did
we
cope
with
this?
Basically,
we
had
gotten
a
a
a
grant
from
nih.
A
I
put
the
link
there,
so
you
could
see
it
in
2015
and
at
that
time
I
had
you
know
I
said:
we've
got
to
do
hackathons
and
start
increasing
diversity,
and
it
was
all
about
you
know
getting
computational
science
well,
look
little
by
little.
What
started
to
happen
is
that
you
know
we
did
a
symposium.
We
started
to
do
like
how
to
create
health
informatics.
A
We
knew
we
wanted
eventually,
and
in
this
we
had
our
first
hackathon,
which
was
basically,
how
can
we
fix
health
on
the
island
and
it
was
a
big
hit.
It
started
to
do
more
inter
university
collaborations
and
we
got
our
collaborators
from
the
us
a
lot
of
our
collaborators
from
the
us
to
come,
and
I
have
to
emphasize
it
needs
collaborators,
and
I
say
this
to
you
because
all
of
you
might
be
it
really
at
a
very
good
university
like
we
are,
but
we
serve
as
an
intermediary
to
other
universities
going
up
and
going
down.
A
So
we
we
our
connections
to
our
ones
and
we're
also
connections
to
the
local
and
that
connection
needs
to
be
strong
and
and
so
this
this
stuff
at
first.
I
started
doing
this
more
to
get
the
connections
on
the
up
to
the
rest
of
the
island,
and
so
it
had
this
huge
effect
and
then
the
hurricane
happened,
so
the
hurricane
happened
and
so
what
we
did.
Instead,
we
switched
to
actually
solving
problems.
How
can
we
do?
What
can
we
do
to
to?
A
Because,
basically,
when
everything
went
down,
there
was
no
way
to
get
data
and
communicate.
So
let's
talk
about
how
we
can
build
ad
hoc
networks,
and
how
do
we
work
with
that
data?
Nobody
on
in
that
I
was
basically
we
brought.
You
know
somebody
from
shahidi.
They
didn't
make
it
as
part
of
the
hackathon
like,
because
I
was
working
with
other
people
because
they
couldn't
see
the
the
importance
of
hey.
Okay,
let's
get
everybody
to
communicate.
But
what
do
we
do
with
the
data?
A
And
I
showed
this
because
these
events
actually
started
opening
them
to
the
public
started,
making
it
easier
for
people
to
understand
data
carpentry
did
a
lot
with
for
us.
We
worked
with
them,
basically
to
start
training
on
our
university,
but
also
they
started
doing
training
like
we
put
those
trainings
at
the
same
time
that
we
had
the
hackathons,
and
so
they
became
like
judges
for
the
you
know,
for
the
replicaton
and-
and
so
these
initiatives
at
other
universities
are
so
important.
A
I
also
put
women
in
data
science,
because
that
actually
is
an
initiative
from
from
stanford,
and
that
initiative
is
helping
us
actually
to
break
the
bounds
of
you
know
when
I
used
to
say
I
want
50
women
at
a
hackathon.
People
would
laugh,
and
now,
thanks
to
this
initiative
by
stanford,
that's
that's
completely
changing.
Now
they
listen
to
me
when
I
do
okay,
patty
go!
Do
your
thing
like
it's
that
kind
of
thing,
and
then
the
really
interesting
thing
that
we
find
we
as
like.
A
Oh
now,
that
we
could
get
the
students
and
we
can
get
them
thinking
more
collaboratively.
How
do
we
get
the
the
professors
to
do?
Computational
science?
How
do
we
get
them
at
the
hackathons?
And
so
we
started
doing
them?
We
created
an
reu
called
the
iq,
bio
reu
and
that
ru
basically
had
one
hackathon.
Well,
actually,
several
hackathons,
we
put
the
replicaton
in
there
that
we
did,
and
so
we
built
their
confidence
in
and
participating
in
that,
and
so
these
are
basically
examples
of
our
calls.
A
Now
biology
is
doing
it
by
itself,
which,
to
me
is
is
great
because
we're
still
collaborating,
but
they
are
leading
it,
which
means
now
we
have
you
know,
and
and
on
top
of
that
they
have
they've
maintained
the
50
50..
Normally,
this
is
because
we
had
so
many
men
applying
more
than
women.
We
said
well
we're
going
to
keep
it
according
to
what
the
applications
are
and
there
was
60
women
and
and
and
no
I'm
sorry
according
to
applications.
A
I
said
that
wrong.
What
happened
was
when
we
first,
let
everybody
just
do
the
the
judgment
it
ended
up.
It
was
a
predominantly
male
group
and
then
we
said
no.
If
the
applicants
are
60
40,
then
we're
going
to
make
it
60
40
in
in
the
cohort,
and
so
that's
one
big
thing
that
we
did
difference
and
so
again
what
we
did
that
was
different.
We
when
we
tried
to
go
into
disciplinary
inter
university,
intersectoral
with
these,
we
tried
to
make
them
more
collaborative,
less
intense,
so
24
to
36
hours,
give
them
better
food.
A
I
think
that
makes
a
difference
too
a
lot
of
publicity
saying
that
the
events
for
everyone
very
much
a
focus
on
women
trying
to
make
sure
that
every
team
has
a
woman
and
then
bringing
extraordinary
mentors
and
then
what
we
did
was
use
the
hackathons
and
replicates
to
train
and
bring
faculty
to
the
datathon.
So
we
basically
started
with
hackathons
a
replicaton.
Basically
is
just
it's
an
exercise
where
they
learn
how
to
do
data
science.
I
didn't
explain
that
before,
but
it's
basically
they
come.
A
We
give
them
two
articles
and
they
have
and
we
give
them
data
we
give
them.
We
train
them
on
how
to
use
it.
It's
basically
a
a
it's
a
preconceived
thing
that
we
did
with
rafaela
irish
lab
with
his
phd
students,
and
so
we
make
them
go
through
that
and
they
compete
on
how
to
present
their
ideas.
So
it's
really
more
of
a
communication
and
and
coding
thing
like
to
say
hey.
How
do
I
communicate
my
science
to
prove
a
point
and
then,
finally,
now
we're
doing
data
thoughts?
A
A
So
we've
picked
movies
that
dealt
with
those
themes
and
also
we
tried
to
change
mindsets
so
trying
to
tell
them
what
growth
mindset
versus
fixed
mindset
it.
So
that's
stuff
that
we
changed
as
we
went
along
and
now
what
we're
doing
is.
We
are
starting
to
do
that
with
teachers
for
for
for
teaching
them
and
now
so
now,
there's
an
ru
for
for
teachers,
and
it's
just.
A
I
just
think
that
these
are
things
that
are
really
require
a
lot
of
collaboration,
but
once
they
start
happening
the
hackathons
and
when
they
see
the
results
of
what
the
students
can
do,
just
really
change
things.
Now,
let
me
tell
you
how
this
is
social
justice
too.
While
all
this
stuff
is
happening,
we
started
to
you
know
they
started
to
reduce
our
salary
and
nobody
at
the
university
are
just
like.
How
can
we
get
congress
to
listen?
A
How
can
we
get
people
to
listen
and
really
appreciate
what
upr
has
done,
and
so
these
two,
these
two
graphs
were
sent
to
faculty
and
across
you
know
the
university
and
different
universities
to
talk
about
how
important,
basically
the
science
was
being
attacked.
So
basically
in
2010
2011
to
2012
upr
was
the
was
basically
the
highest
phd
granting
institution
for
hispanic
phds
that
are
us
citizens
and
permanent
residents
right.
So
it's
really
the
ones
that
are.
A
If
you
look
between
2015
to
2018.,
so
this
2014
is
because
there
was
a
another
protest
in
2018
and
there
were
that
number.
Basically,
no
numbers
were
reported
in
2018.,
nobody
graduate,
I
mean
in
2010.,
and
so
this
is
stuff
by
looking
at
the
data.
So
now
what
has
happened
is
we've
created
an
alliance.
The
professors
have
actually
created
an
alliance
for
the
science
in
the
upr
and
we're
doing
a
hackathon
to
try
and
save
high-caliber
public
education
in
puerto
rico.
A
A
You
know
how
to
work
with
open
data
sets
and
so
we're
going
to
teach
them
how
to
work
with
the
nsf
and
get
the
data
from
the
nsf
website
about
all
the
data
that's
reported
to
nsf
so
that
they
can,
you
know,
make
conclusions
and
then
we're
going
to
have
a
hackathon
once
they
have
some
ideas
on.
I
mean
a
datathon,
I'm
sorry,
because
we're
dealing
with
data
on
how
to
do
that,
and
so
let
me
just
to
make
a
final
point.
You
know
datathon
hackathon
hackathon
is
more
like
innovation.
A
How
can
you
you
know
when
we
did
these?
It's
like?
How
can
you
take
the
science
that
they're
learning
and
apply
it
to
something,
and
then
we
went
to
replicathon,
which
was
like
actually
following
trying
working
with
a
specific
data
set
and
trying
to
show
them
what
data
science
is
and
now
that
datathon
is
we're
going
to
have
people
come
with
hypotheses
and
use
data
to
basically
do
evidence-based
science
to
prove
whatever
point
or
disprove,
whatever
point
they
are
making
again,
I
just
want
to
talk
about.
A
This
is
all
right
now,
these
hackathons
that
I'm
doing
I'm
having
a
lot
of
help
from
women
in
data
science-
and
I
love
this
because
most
of
the
hackathons
and
datathons
in
puerto
rico
are
predominantly
male
and
so
by
working
with
them,
I
can
make
the
requirement
that
all
teams
have
to
be
50
and
so
we're.
I
just
these
kinds
of
initiatives
are
so
important.
A
All
right.
Thank
you
to
nsf
and
nih,
and
our
wonderful
collaborators.
I
didn't
mention
all
the
universities
we
work
with,
but
through
the
grant
we
work
with
university
of
pittsburgh.
We
work
with
the
university
of
cal,
california,
santa
cruz.
We
work
with
harvard
university.
We
work
with
just
have
a
long-standing
relationship
with
mit
and
also-
and
I
mean
there
are
many
more
universities
that
are
coming-
we
uc
davis,
of
course,
with
the
data
carpentries,
and
so
I
just
can't
tell
you
that
none
of
this
would
have
been.