►
Description
Date: 03/02/17
Presenter: Chris Navarro & Jong Lee
Institution: National Center for Supercomputing Applications (NCSA)
Midwest Big Data Hub
A
It's
an
open
source,
multi
hazard
assessment
response
and
planning
platform
that
is,
allowing
users
and
developers
to
lead
with
a
spatially,
enabled
extensible
semantically,
aware
Java,
plug-in
based
platform
based
on
the
Eclipse
rich
client
platform
that
allows
developers
to
extend
the
platform
and
add
new
functionality,
data
types,
visualizations
analyses
and
other
things
to
enrich
the
platform's
capabilities
projects
being
led
by
dr.
John
Lee
who's
at
NCSA,
who
co-leads
the
software
and
data
analysis
group
and
holds
a
lecturer
position
at
the
Department
of
Urban
and
Regional
Planning
at
the
University
of
Illinois
in
urbana-champaign.
A
Hazard
risk
assessment,
agriculture,
food
markets,
environmental
engineering
and
other
water
management,
simulations
sensor,
work
and,
and
rather
long
list
of
data
products
joining
him
today
is
Christopher
Navarro,
who
is
the
senior
research
programmer
at
NCSA
and
also
part
of
the
innovative
software
data
analysis
group?
He
has
a
degree
in
aeronautics
and
Aeronautics
and
Aeronautics
engineering
and
a
minor
in
computer
science
from
the
University
of
Havana
Champaign,
and
he
interested
mostly
in
developing
and
operating
end-to-end
cyber
environments
supporting
various
research
and
education
communities
very
interested
in
cloud
computing.
A
B
Alright,
thank
you,
so
I
guess
I'll
just
get
right
into
it.
So
today,
I
am
going
to
go
over
what
our
NGO
is
some
of
what
our
NGO
can
do
and
then
talk
about
some
of
the
recent
activities
around
the
Ergo
project.
B
So
some
of
the
questions
that
are
go
can
help
answer
are
things
like
maybe
I'm
interested
in
the
approximate
damage
due
to
a
particular
hazard,
maybe
an
earthquake
or
tornado,
and
how
it
might
affect
the
infrastructure
region
or
maybe
I'm
interested
in
a
specific
class
of
structures
like
hospitals
or
schools,
or
maybe
the
network.
That's
in
that
region
can
also
help
answer.
B
Questions
like
are
the
levels
of
damage
and
economic
loss,
something
that
the
community
can
recover
from,
or
maybe
what
is
the
most
important
structure
to
retrofit
in
that
region,
for
example,
maybe
there's
a
particular
bridge
that
crosses
a
major
river
and
that
may
be
more
important
to
the
community
and
after
a
disaster
than
other
bridges
there
that
have
less
significant
crossings
in
order
to
do.
That
requires
a
lot
of
data.
So
we
need
inventories
on
structures.
So,
like
buildings,
bridges,
buried
pipelines,
we
need
to
quantify
the
hazard.
B
So
are
we
looking
at
a
scenario,
earthquake
or
tornado,
or
are
we
looking
probabilistic,
maybe
worth
trying
to
do
a
sum
of
event
planning?
We
need
to
know
the
fragility,
so
we
need
to
know
how
a
structure
responds
to
the
different
hazard
types.
What's
the
probability
of
it
being
damaged
from
that
event,
socio-economic
data,
we're
interested
in
so
getting
short-term
shelters
that
are
available,
there's
a
lot
of
geographic
data.
B
All
this
data,
it's
geospatial,
there's
temporal
data,
there's
results
of
simulation
in
total
we
have
about
228
data
types
in
our
NGO
and
that
continues
to
grow
as
we
had
more
more
inventory
types,
as
we
add
more
attributes
to
the
system
to
model
different
different
structures,
and
all
this
has
brought
together
by
the
Ergo
platform.
So
it's
a
multi
hazard
risk
assessment
application,
as
was
mentioned.
It's
semantically
aware
so
all
those
data
types
allow
ago
to
understand
that
this
particular
point
in
space.
B
These
out
the
attributes
tell
me
it's
a
bridge,
or
it
tells
me
that
it's
it's
a
it's
a
building
and
I'm
gonna
wear
in
space.
It
is
it's
spatially
named
so
I
have
the
GIS
data
to
tell
me
where
that
bridge
or
a
building
is,
and
this
is
the
system
is
extensible.
So
those
data
types
that's
growing,
because
we
researchers
can
come
in
and
add
new
data
types.
B
They
can
add
new
models,
it's
open
source,
so
it's
right
now,
mostly
in
researchers
and
engineers,
using
it
adding
new
models,
adding
heading
on
new
capabilities,
and
so
a
typical
product
might
look
like
this,
where
you
have
researchers
on
one
side
that
are
looking
at
how
to
model
a
particular
hazard.
How
to
understand
the
response
of
a
structure
to
a
new
hazard
type.
B
As
I
mentioned,
it's
an
open
source
product
project,
it's
under
the
Mozilla
Public
License
2.0.
It
leverages
other
open-source
products
so,
namely
eclipse
RCP
for
the
extensibility
that
allows
us
that
plug-in
based
architecture
to
plug
in
new
capabilities
geo
tools
is
the
primary
library
for
doing
GIS,
visualization
toolkit
right
now
for
3d
visualization
jasperreports
for
general
report
reports
and
so
forth.
B
So
what
are
some
examples
of
what
Urgo
can
do
on
take
a
look?
Take
us
through
a
couple
of
scenarios,
so
one
example
scenario:
well,
maybe
there's
an
emergency
manager.
It
wants
to
plan
for
a
specific
event.
Now
the
7.9
event
is
since
it's
a
New,
Madrid
Seismic
zone.
This
event
has
happened
in
the
past.
It's
been
a
while,
but
has
a
long
return
period,
and
if
it
were
to
happen
again,
a
manager
may
want
to
plan.
For
now
that
Shelby
County
Tennessee
is
is
much
more
populated
than
the
1811
1812
earthquake.
B
When
that
happened,
they
would
have
to
go
through
a
series
of
tasks
to
understand
what
are
the
short-term
shelter
needs
of
that
event
were
to
hit
again
so
there's
a
data
management
piece
where
I
need
to
gather
the
inventory
so
housing,
the
transportation
I
need
to
quantify.
The
hazard
I
need
to
do.
I
need
to
analyze,
based
on
that
come
up
with
a
damage
prediction
for
the
buildings
to
understand.
Are
the
buildings
occupy
laughter
the
event?
B
If
not,
some
of
that
population
is
going
to
be
dislocated,
and
then
from
that
you
determine
what
are
my
short-term
shelter
needs?
What
are
the
supplies
are
going
to
need
so
food
water
beds?
That
kind
of
thing,
so
this
is
what
arrow
currently
looks
like,
because
this
would
be
the
data
management
piece
where
I
have
overlaid
the
multifamily
housing
for
Shelby
County,
Tennessee
I
also
have
the
freeways
overlaid
and
here's
the
analysis,
I'm
gonna
or
the
sequence
of
analyses.
B
I'm
gonna
need
to
run
in
order
to
determine
what
those
shelter
needs
are
so,
starting
from
the
left,
I
need
to
specify
the
earthquake
event.
I
need
to
specify
an
attenuation
model.
That's
going
to
model
how
the
hazard
response
for
that.
For
that
earthquake,
that's
gonna
feed
into
structural
damage
and
then
from
structural
damage.
I
can
get
economic
loss
and
from
economic
loss.
I
can
look
at
and
determine
what
who's
gonna
be
dislocated
or
approximately
who's
gonna
be
dislocated
how
many
people.
B
So
this
is
a
visualization
of
that
result.
What
that
would
look
like
so
here
we're
looking
for
each
structure,
the
amount
of
population
that
are
dislocated.
We
can
also
drill
down
into
the
tabular
view,
showing
the
results
for
each
structure.
The
highlighted
columns
indicate
what
was
added
to
the
results.
So
these
are
the
results
that
came
out
of
the
population.
Dislocation
analysis.
B
Can
also
now
sober
and
get
more
information
about
us
put
my
specific
row
in
the
table
and
one
of
the
nice
things
about
the
analysis
framework
we
have
is
that
all
the
all
the
analyses
understand
what
what
inputs
they
need
and
what
outputs
they
produce,
and
so
we
can
do
what's
called
what's
next,
and
so
someone
can
come
in
and
say
from
household
publishing
and
dislocation.
What
can
I
do
next
and
in
this
case
we
want
to
look
at
short-term,
sheltered
means
and
so
plugging
that
into
the
to
the
framework.
B
We
then
get
the
short-term
shelter
needs
for
for
the
region.
We
also
have
linking
between
the
views,
so
you
can
click
on
a
table
row.
Maybe
there
was
something
an
outlier
or
something
that
was
surprising
to
you
or
just
kind
of
figuring
out.
Where
is
my
dislocation
happening
because
maybe
I
want
to
plan
and
determine
if
I
can
improve
that
dislocation
or
that
expected
anticipated
dislocation
from
there?
We
can
actually
generate
reports,
so
we
can
show
them
what
how
many
supplies
they
would
need
for.
B
B
B
Korea
viz
is
another
fork,
looking
at
earthquake
loss
estimation
in
the
Caribbean,
that's
being
developed
by
the
University
of
West,
Indies
and
Jamaica
and
Trinidad
Avago
and
then
finally
there's
a
another
one.
Is
these
Center
for
risk
based
community
resilience
planning?
Is
a
nist
funded
Center
of
Excellence
and
they're
looking
at
cascading
hazards
and
their
effects
on
buildings
and
bridges?
That's
a
twenty
million
dollar
project
for
five
years.
B
It's
on
it's
currently
ongoing
and
the
product
of
that
is
going
to
be
in
core,
which
is
gonna,
add
those
the
cascading
hazard
to
the
platform
and
look
at
community
and
look
at
and
quantify
community
resilience
to
those
different
hazards.
So
looking
at
tornado,
tsunami
fire
earthquake
and
then
combined
hazards
as
well
so
the
first
quake
and
tsunami,
that's
all
that
I
had
should
I
just
go
ahead
and
turn
it
over.
A
C
D
E
E
E
What
what's
it
taken
to
keep
this
alive
kind
of
beyond
the
end
of
the
original
grant,
and
how
hard
was
that
and
I
guess
the
other
one
again
would
probably
give
this
credit
to
being
sort
of
part
of
the
Big
Data
craze
before
Big
Data
came
along
that
this
was
the
first
kind
of
system
that
was
pulling
out
like
individual
houses
and
modeling.
You
know
all
of
the
infrastructure
in
an
area,
and
so
even
though
it's
not
supercomputing,
there
was
really
much
more
data.
D
So
again,
the
first
question,
so
the
one
of
the
things
we
are
able
to
sustain
this
project
was
NSSA,
helped
us
to
provide
some
salary
at
the
present
time
and
also
provide
a
server.
Some
data
repository
server
maintenance,
so
I
can
invest
a
major
in
terms
of
the
human
power
wise
one.
Other
thing
is
the
community
after
this
project
was
originally
developed
by
ma
II
mentor
and
the
ERC
project
funded
by
NSF.
D
After
that
we
got
great
interest
from
European
countries
and
international
communities.
So
that's
the
community
make
this
thing
to
life
right
now.
We
know
that
your
country,
some
of
them
they
are
using
it,
and
some
universities
are
using
it
and
Italy
and
Lebanon
Turkey,
and
things
like
that.
So
I
think
that's
another.
Basically
community
help
us
to
sustain
this
project.
D
Second
question
is
about
the
data
aspect.
That's
currently,
we
are
moving
on
to
especially
project
with
the
South
Korea.
There
are
approachable
risk
assessments
right
now,
a
little
bit
of
building
specific,
for
example,
in
the
oracle
project,
most
of
building
have
a
one
structure
type
and
the
structure
type
has
is
called
a
fragility.
Curve
represent
how
the
building
is
fragile
in
terms
of
earthquake
or
hazard
and
the
south
korean
approach
right
now
they
actually
divided
into
more
detail.
D
They
developing
fragility
curve
for
each
component
of
structure,
structural
building
so
like
a
beams
and
connectors
and
floors,
and
things
like
that,
so
they
want
to
do
that.
Detail,
risk
assessment
for
the
building,
not
a
single
building,
but
throughout
the
entire
city.
That's
going
to
be
a
lot
of
computation,
a
lot
of
data,
so
we
are
currently
for
that
project.
We
are
developing
HPC
support
and
Argo,
so
all
were
able
to
sunlight
the
job
and
control
the
job
status
and
also
transfer
the
input
and
output
back
and
forth
with
HPC
between
article
claims.
E
A
A
D
I
think
there
is
no
direct
infection
right
now,
but
one
of
the
professor
from
Rice
University,
who
involved
in
the
theory
project
she
talked
in
core
project
or
so
so
she's
kind
of
kind
of
middle
man
right
now,
they're
helping
us
to
connect
so
far.
The
infection
we
had
was
the
in
terms
of
book
a
controlled
vocabulary
and
semantics
and
oncologists,
because
we
also
see
the
value
of
defining
oncologists
on
the
system
regarding
clinical
and
domain,
so
they
already
started
in
some
aspect.
I
know
that
designs,
Eric
and
Neri.