►
Description
DevoWorm meeting: January 13, 2020. Attendees: Richard Gordon, Ujjwal Singh, Devansh Batra, Yash Agarwal, Bradly Alicea, and Jesse Parent
A
A
B
B
C
B
A
A
A
His
first
meeting
I
just
wanted
to
go
over
actually
some
stuff
from
just
a
recap
of
Deva
worm
for
the
last
year
and
then
also
for
the
last
five
years,
because
I
noticed
that
it's
coming
up
on
sort
of
I,
don't
know
if
it's
a
six
year
or
five
years
or
six
year
anniversary
when
he
started
so
I'm,
going
to
go
back
and
look
at
some
of
that
and
then
look
at
what
happened
in
the
last
year
and
then
maybe
some
things.
Maybe
that
will
be
happening
this
year
so
we'll
go
through.
A
That
I
also
think
I
mentioned
I
have
a
bunch
of
people
who
want
to
do
things
in
needing
so
I'm
going
to
go
over
like
a
weekly
agenda
that
we
might
fill
in
scheduling
people
for
different
weeks.
So
people
want
to
present
something
they
can
pick
a
date
and
we
can
have
it.
You
know
coordinated
and
we
can
share
it
so
that
people
can
you
know
kind
of
work
towards
a
goal.
So
I
already
have
Devon
Chan
in
scheduled
on
this,
but
we'll
go
through
it.
A
A
Okay,
so
what
I,
usually
by
the
time
I
get
into
this,
someone
comes
in
there,
someone's
knocking
so
to
come
in
so
all
right,
I,
if
that
happens,
I'll
just
exit
out
of
this,
and
so
this
is
the.
This
is
the
old
idea
of
father
time
handing
off
the
baton
to
a
baby
new
year,
and
we
did
this
in
worms
of
course,
for
this
slide,
so
we're
transitioning
2019
to
2020
and
I
wanted
to
go
over
the
accomplishments
during
the
year
2019,
because
I
think
it's
important
to
kind
of
look
back
on
things.
A
So
this
is
actually
look
back
over
the
history.
Okay
said
this
is
either
coming
up
on
the
fifth
or
sixth
anniversary
of
the
initiative,
and
I
wanted
to
go
through
a
good
timeline.
So
this
is
the
first
part
of
the
timeline,
so
in
April,
2014,
Richard
and
I
met
Steven
Larson
in
a
meeting
we
met
up
and
we
discussed
doing
this
initiative,
evil,
worm
and
Steven
Larson,
of
course,
is
the
person
sort
of
the
one
of
the
founders
of
open
worm.
A
He
found
that
he,
he
was
one
of
the
founders
they're,
a
couple
people
who
founded
the
open-room
foundation,
it's
now
known
and
they
started
with
their
PhD
work
and
so
Stevens
work
was
in
neuro
informatics
and
their
goal.
They
started
open,
worm-like
back
in
2011,
and
they
were
trying
to
understand
these
c
elegans,
just
trying
to
figure
out
a
way
to
simulate
the
entire
worm,
because
that's
a
fairly
simple
organism
to
simulate,
as
opposed
to
some
other
organisms
that
we
have
available
to
us.
A
Not
only
is
it,
you
know
a
small
number
of
cells
and
a
fairly
simple
nervous
system,
although
it's
pretty
complicated.
It's
also
very
well
characterized
and
there's
a
lot
of
data
out
there
for
people
to
use,
and
so
this
is
how
diva
worm
started.
An
open
worm
at
the
time
did
not
have
anything
to
do
with
development
and
Steven
thought
that
this
would
be
a
good
way
to
incorporate
the
developmental
aspect.
So
that's
already
started.
We
were
you
know
we,
we
didn't
really
start.
A
We
kind
of
started
with
a
goal
of
you
know
trying
to
do
with
what
the
other
projects
in
open
worm
were
doing,
which
is
creating
simulations
and
that
sort
of
thing,
but
but
it
quickly
turned
out
that
we
didn't
really
go
in
that
direction.
So
we
started
the
kind
of
introduced
ourselves
to
the
community
with
a
journal
club
and
at
the
time
open
worm
had
journal
clubs
where
he
would
present
to
the
group
and
they
would
get
a
bunch
of
people
online
and
you
would
give
these
presentations.
A
So
this
is
the
first
presentation
raising
the
open
worm,
which
was
a
very
you
know,
a
broad
level
overview
of
the
challenges
that
this
project
afforded,
and
then
that
was
well-received.
So
then
we
wrote
this
paper
and
this
is
a
paper
that
was
took
kind
of
a
more
theoretical
view
of
the
project.
So
this
is
this
paper
is
on
bio
archive
and
they
didn't
put
the
DOI,
but
it's
a
feeble
worm
and
the
subtitle
involves
differentiation,
waves
and
computation.
A
A
You
should
be
able
to
find
it
and
it's
it's
very
different
from
kind
of
the
stuff
we're
doing
now,
maybe
not
so
much,
but
it
did
play
out
sort
of
a
vision
for
what
to
do
and
we
accomplished
some
of
those
things
and
other
things
we
did
not
so
I
mean
it's
I
haven't
read
it
in
a
long
time,
even
myself.
So
it's
good
to
look
back
at
things
like
that
and
reevaluate
it,
and
so
you
know
this
early
part
of
the
project
we
had.
A
You
know
a
couple
people
we
had
Richard
myself,
Steve
McGrew,
who
hasn't
been
around
in
a
while,
but
he's
an
inventor
and
a
couple.
Other
people
have
come
and
gone
out
of
the
group
at
that
time
and
then
maybe
the
next
year,
I
think
it
was
May
of
2015
I
went
to
Indiana
University
to
their
bio
complexity.
Institute
and
I
have
another
talk
which
is
on
the
website.
If
you
go
to
like
the
I,
think
it's
the
media
section
or
something
you
can
find
this
talk
and
again
this
was
more
about
the
simulation
aspect.
A
So
at
that
time
we
didn't
really
have
any
papers
out,
but
there
was
a
vision
and
was
fairly
well
received,
although
it
would
have
been
more
will
receive.
Did
we
had
some
papers
at
the
time,
but
I
think
you
know.
That
was
a
good
opportunity
to
get
people
interested
in
the
project
then
coming
up
on
into
2016.
We
had
a
number
of
things
going
on
at
once,
so
we
had
a
couple
of
papers,
this
one
I
work
done
with
Richard
quantifying
mosaic
development.
This
is
a
nice
paper.
A
We
haven't
focused
on
comparative
development
since
then
really,
but
that's
something
that
we're
interested
in.
So
maybe
we'll
well
we'll
talk
about
that
later.
Maybe
we'll
revisit
that
in
the
new
year.
Also
information
isometry.
This
is
a
theoretical
paper
on
a
technique
for
looking
at
trees
in
development,
and
so
that's
again,
it's
on
the
website.
We
had
another
Journal
Club,
and
so
this
journal
club
was
sort
of
foreshadowing
some
of
these
papers
and
their
content.
A
So
now
we
have
a
little
bit
more
flesh
on
the
bones
of
this
initiative
by
now
and
then,
of
course,
we
have
another
person,
who's
collaborated
with
us,
Tom
Portage's,
who
came
up
with
this
simulation
platform,
called
more
physic,
and
we
put
out
a
book
chapter
on
that
about
the
same
time,
and
this
paper
goes
through
this
platform
of
morphic,
which
is
an
open
source,
cellular
automata
platform
that
you
can
use
to
classify
images,
classify
shape
and
things
like
that.
We
haven't
already
done
a
lot
with
it
since
the
book
chapter.
A
So
again,
if
people
are
interested
in
like
a
challenge,
we
have
Martha's
oeq
available
for
people
to
play
with
if
you're
interested
in
some
of
our
automata
or
you're
interested
in
you
know
doing
something
interesting
with.
We
have
the
paper
in
the
software
for
people
to
play
with.
So
that's
and
then
we
haven't
really
I
think.
Maybe
we
should
revisit
that
at
some
point,
because
it
is
I
think
there's
something
there
left
to
explore.
A
A
You
would
have
people
go
and
five
to
seven
minute
increments
and
introduce
their
projects,
so
those
of
materials
actually
are
all
available
from
open
worm
and
if
you're
interested
I
can
send
you
a
link,
it's
it's
really
a
recap
of
each
project,
it's
a
little
bit
dated
now,
but
if
you're
really
want
to
get
a
good
overview
of
open
worm,
this
is
a
good
place
to
go.
To
get
this
information.
We
have.
A
You
know
like
the
five
to
seven
minute
on
talks
which
really
distill
a
lot
of
the
things
around
the
projects
we
have
like
papers,
which
are
a
little
bit
dated
now,
but
they
give
an
overview.
So,
like
you
know,
an
open
Orem,
you
have
projects
like
cybernetic
and
C
302
and
Gepetto,
and
those
are
all
very
they're
simplified
in
those
presentations
like
what
they
involve,
what
they
do
and
I
think
that's
a
really
nice
resource
for
people
who
are
just
kind
of
casually
interested
in
open
worms.
A
A
So
this
is
a
paper
where
we
took
real,
live
worms
and
evolved
those
worms
for
20
to
25
generations
and
looked
at
their
reproductive
capacity,
and
so
it's
a
little
bit
different
than
like
the
embryo,
Genesis
stuff
that
we
were
doing
before.
But
this
is
something
that
was
also
you
know
interesting
and
might
be
followed
up
on.
A
We
don't
have
the
wet
lab
anymore,
but
you
know
it
was
just
an
opportunity
that
I
had,
but
if
we
ever
got
the
opportunity
to
do
this
either
like
again
with
real
worms
or
even
simulations
of
evolution,
that
could
be
something
to
follow
up
on.
So
that
was
publishing
Royal
Society,
open
science,
then
no
that
was
probably
into
the
publication's
for
a
while,
would
be
another,
maybe
one
in
a
year-and-a-half
before
we
had
any
more
publications.
A
A
It
was
basically
where
the
Royal
Society
hosted
a
workshop
where
we
brought
in
a
bunch
of
people
who
are
interested
in
the
connectome,
and
this
is
associated
with
open
world
notice.
The
colouring
of
the
flyer
and
I
wasn't
at
the
meeting.
I
was
doing
some
participation
or
motely,
but
it
was
a
very
good
workshop.
They
didn't
really
have
a
lot
of
like
there
isn't
a
lot
of
evidence
of
it
now
like
they
didn't
record
the
session,
but
it
was
a
very
interesting,
very
interesting
set
of
sessions.
A
They
documented
it
on
Twitter,
so
I
took
a
lot
of
the
tweets
and
put
them
into
this
blog
post
so
that
we
had
a
more
permanent
record
of
the
meeting.
So
you
know
if
you're
interested
I
can
send
you
a
link
to
that,
maybe
after
in
a
post
meeting
email,
but
now
that
actually,
that
workshop
led
to
a
special
issue
of
Proceedings
of
the
Royal
Society
B.
A
A
But
there's
a
Royal
Society
special
issue
actually
is
very
good
because
it
has
a
lot
of
stuff
from
open
worm
and
also
some
stuff
from
chronic
Tomic
C
elegans
connectomics
in
one
place,
so
we
had
papers
from
you
know,
people
doing
connectomics
people
doing
you
know
movement,
computational,
neuroscience
and
movement,
and
then
we
had
papers
and
things
like
the
C
302
platform,
the
cybernetic
platform,
a
general
open
worm
paper
and
a
couple
other
papers
in
there
again.
That
paper
is
available.
A
It's
I'm
not
not
open
access,
but
we
can
get
it
for
you
if
you
need
it
and
then
just
before
this
special
issue
came
out,
actually
did
a
presentation
at
the
finding
your
inner
modeler
workshop
at
Illinois
Chicago,
and
that
was
a
NSF
funded
workshop,
where
they
wanted
to
see
examples
of
biology
and
computation
or
biology
and
data
science.
That
sort
of
mix,
modeling
and
I
presented
on
diva
worm,
they're
presented
on
something
called
embryo
networks,
and
that
presentation
is
on
the
website
and
the
media
tab
on
the
website.
A
It's
interesting
because
it
was
this
idea
that
they've
been
working
on
for
awhile
and
it
it
would
be
published
a
couple
months
later,
but
it
was
pretty
well-received.
So
you
know
I
thought
you
know.
I
first
started
giving
the
talk
and
people
weren't
didn't
really
understand
what
was
going
on
and
then
in
about.
Maybe
ten
minutes
I
knew
what
people
got
into
it
figured
out
what
was
going
on.
A
I
found
that
experience
to
be
quite
common
when
I
give
talks,
because
I
tend
to
like
to
give
talks
in
very
complicated
subjects,
so
I
just
for
people
who
you
know
just
for
people
who
are
interested
in
that.
So
there's
this
embryo
networks
theme
that
was
emerging
about
this
time.
Then
richard
and
I-
and
I
think
tom
was
a
author
and
some
of
these
papers
as
well.
Actually
did
it.
A
We
edited
a
special
issue
of
Biosystems,
and
so
this
this
was
a
special
issue
on
computational,
theoretical
and
experimental
approaches
to
morphogenesis,
and
this
special
issue
had
a
really
interesting
backstory,
because
we
were
originally
gonna.
Do
it
for
a
different
journal
and
then
it
didn't
really
work
out
so
well.
We
couldn't
get
a
lot
of
papers
for
it.
So
in
the
meantime
one
of
Richard's
colleagues
died
out
and
he
we
wanted.
A
A
Has
a
lot
of
papers
in
it
on
embryogenesis,
on
morphogenesis,
on
a
bunch
of
different
approaches
to
it,
computational
mathematical
experimental,
and
so
it's
really
good
again.
There's
a
link
to
the
we
published
I,
don't
know
how
many
papers
in
this
for
in
the
special
issue,
so
we
had
three
papers
on
C
elegans.
They
believe
and
then
one
on
some
per
solid
data
that
we
had
on
me,
imaginal
disc,
under
south
wall,
which
is
a
developmental
structure,
and
so
we
had
those
publications
and
they.
So
the
embryo
networks
is
one
of
those
publications.
A
There
was
a
paper
on
the
developmental
crack
dome.
There
was
a
paper
on
the
psyche
ii,
cybernetic
embryo
paper,
so
I
know
that
Jesse's
heard
of
the
cybernetic
embryo
papers,
the
second
one
was
published
in
there
and
then
a
paper
on
or
software
development,
so
that
was
2018
and
in
2019,
and
this
is
where
I
met
Josh
and
Devon
in
the
Mozilla
open
leaders
project
where
we
developed
something
called
the
diva
worm,
open,
wound
curriculum,
which
is,
if
you've
not
seen
it.
A
It's
on
the
the
evil,
worm
github,
and
it's
a
bunch
of
different
lessons
that
involve
like
you
know,
development.
It
involves
different
topics
and
development,
different
ways
of
viewing
development
like
dynamical
systems,
and
you
know
a
tutorial
on
pattern
formation
in
this
program.
I
learned
a
lot
about
open
science
and
also
develop
this
platform,
and
it's
this
kind
of
it
was
just
meant
to
be
like
sort
of
a
framework
or
a
skeleton
for
further
curriculum
building.
So
that's
the
way
it
was
meant
to
be
at
the
beginning,
but
I
haven't
really.
A
We
haven't
really
revisited
it
at
all.
Nevertheless,
there's
still
a
lot
of
good
stuff
there.
So
maybe
we'll
talk
about
this
in
a
future
meeting
and
kind
of
reassess
where
we
are
with
respect
to
that
curriculum,
I'm
sure
people
would
have
ideas
of
what
we
can
add
to
it.
I
talked
a
little
bit
about
with
Richard
about
it
when
I
was
in
the
program-
and
we
did
a
little
bit
of
back
and
forth
on
some
of
the
items,
some
of
the
curriculum
programming,
so
we
have
things
like
micro
credentials
or
badges.
A
We
have
you
know
tutorials,
that
are
in
sort
of
a
walkthrough
format
where
you
just
go
through
and
you
learn.
You
know
different
things.
You
know
if
you
want
to
know
what
pattern
formation
in
embryos
you
go
to
this
page
and
you
can
read
about
it,
but
there's
probably
more
to
add,
and
there
may
be
more
interactive
ways
to
present
this
curriculum
and
then.
Finally,
this
is
like
the
last
year
and
I'll
get
into
the
last
year
and
the
vision
for
the
future.
A
A
You
won't
necessarily
talk
about
it
now,
but
what
are
some
of
the
future
directions
that
we
might
take
with
some
of
this
history?
I
mean
there
are
so
many
things
that
you
know
you
do
you
engage
in,
you
might
do
a
paper,
you
might
talk
and
then
it
just
sits
there
and
it
doesn't
go
anywhere
else.
Sometimes
it
does.
A
With
this
connectome
stuff,
there
might
be
some
more
gas
in
the
tank
on
that
with
the
C
elegans
data
they've
gotten
a
lot
of
stuff
out
of
it,
but
then
again
there
are
other
things
that
didn't
really
go
anywhere.
We
did
like
one
paper
or
one
talk
on,
and
that
was
it
so
future
directions.
That's
what
we're
thinking
of-
and
this
is
the
C
elegans-
that's
just
hatched
Germans
egg,
so
it's
full
of
possibility,
so
2019
terms
of
Education
and
research.
A
A
The
Mozilla
runs
these
programs
every
maybe
twice
or
three
times
a
year
and
they
teach
you
how
to
work
open,
which
means
they
teach
you
how
to
build.
You
know
tools
for
collaborating
with
people,
for
you
know
offering
value
on
the
Internet
something
of
value,
so
they
have
a
lot
of
people
working
on
different
social
problems
that
people
working
on
education,
open
science,
things
like
that,
and
it's
a
really
interesting
set
of
things
that
you
learn
in
that
that
group.
It's
definitely
something
you
can't
learn
anywhere
else.
A
The
github
repository
is
here.
So
it's
owd,
W
education.
If
you
go
to
the
evil
worm
get
out
of
its
that's
the
what
it's
called,
and
it's
just
a
bunch
of
general
education
resources,
just
different
you
know
takes
on
you
know
like
we
have
a
developmental
data
science
resource
which
is
laying
out
developmental
biology,
is
like
sort
of
a
data
science
and
endeavor
there
there's
something
Impaler
in
formation,
something
under
dynamical
systems
and
development.
I
could
see
there
being
like
future
resources
on
machine
learning.
Although
you
know
that
would
take
a
little
bit
of
doing.
A
A
Then,
in
the
summer
we
had
google
Summer
of
Code,
and
this
is
of
course
something
that's
annual
and
we've
been
running
this
theme
last
couple
years
on
machine
learning
and
data
science
and
developmental
biology.
So
this
year
we
have
two
projects
in
machine
learning
and
data.
Science
will
have
this.
What
I
call
a
robust
application
period,
which
is
going
to
go
from
February
to
April,
where
people
are
gonna
like
try
to
write
up
proposals
that
you
know
address
the
issues
that
so
you
know
I.
A
We
were
talking
in
the
meeting
before
the
end
of
the
year
on
like
proposals
that
I
we
proposed
to
the
general
public
and
it's
you
know
like
a
page
long
couple.
Paragraphs
described
to
the
project
now
the
students
are
gonna,
do
is
they're
gonna
turn
around
and
write
longer
proposals
and
how
they're
going
to
solve
that
problem.
A
And
then
we
select
students
from
those
proposals,
but
the
application
period
is
important
of
itself
because
it's
you
know
it
gives
people
a
chance
to
develop
their
skills
and
writing
your
proposal,
but
also
sort
of
firming
up
how
they're
going
to
approach
the
project
technically.
So
this
last
year
we
had
two
groups,
the
name
who
is
actually
funded
by
Google
Summer
of
Code,
and
he
did
the
semantic
segmentation
of
the
embryo
genetic
process.
A
That
was
the
name
of
the
proposal
that
we
posed
to
Google,
and
then
the
students,
including
Vinay
and
including
LaVon
desmet,
wrote
proposals
that
attempted
to
solve
that
with
an
in
Venice.
He
solved
it.
He
used
he
some
machine
learning
and
deep
learning
techniques
and
it
created
a
web
interface
for
analysis
of
data
and
also
a
standalone
inner
standalone
program
for
it.
A
So
you
know
he
was
able
to
get
a
lot
of
what
he
wanted
to
accomplish
done
out
of
that
proposal
whose
want,
as
MIT,
broke
good
proposals,
but
they
didn't
quite
make
the
cut
so
I
invited
them
to
come
into
the
group
anyways
and
work
on
a
different
project,
and
this
is
something
that
Richard
had
an
interest
in
digital
basilar
area.
So
he
said
why
don't
we
do
this
digital
basilar
project?
A
I
said:
okay
I'll
see
if
we
want
hasn't,
want
to
work
on
it,
and
so
they
ended
up
working
on
it
and
they
ended
up
doing
a
similar
thing
to
what
they
proposed
to
do
with
C
elegans
data
on
the
Bassel
area
data,
and
that's
where
the
paper
that
I
flagged
and
the
timeline
comes
from,
and
we
also
worked
with
Thomas
Harvick
who's
from
Germany
and
amongst
all
of
us.
We
ended
up
and
I
think
Vinay
was
involved
as
well.
A
We
ended
up
putting
out
a
paper
on
the
topic,
so
a
lot
of
things
come
out
of
Summer
of
Code
that
are
just
related
to
Summer
of
Code.
Finally,
of
course,
Tibor
memo
and
I
think
all
of
you
were
here
for
that.
So
I'm
not
gonna,
go
through
that
too
much,
but
just
to
say
that
I
think
it
was
pretty
successful,
and
this
is
actually
the
wrong
posit
ory
for
this,
but
I
can
fix
that
in
the
slides.
A
A
So
resolutions
to
do-
and
this
just
isn't
really
resolution
so
much
as
like.
What's
to
do
maybe
in
the
next
year
I
wanted
to
highlight
some
things
for
people
to
think
about
the
first.
Is
this
open
one
docker
container?
So
I
don't
think
anyone
here
is
actually
know
knows
what
this
refers
to,
maybe
maybe
you
as
well
but
so
open
worm.
A
So
it's
like
a
virtual
machine,
but
it
actually
is
a
little
bit
more
user
friendly
and
that
I
give
you
a
docker
container
and
if
you
have
docker
on
your
machine,
you
can
open
this
thing
up
and
it'll
execute
a
bunch
of
code
and
it'll,
basically
reproduce
what
I
want
you
to
see
on
your
computer.
So
it'll
run
all
of
your
programs
that
are
in
the
container,
so
the
cybernetic
simulation,
the
Gepetto
simulation,
etc
and
they'll
all
run
in
a
way,
that's
reproducible.
A
So
if
you
have
a
different
machine
than
someone
else,
you'll
see
the
same
content.
It'll
work
in
the
same
way,
so
this
just
produces
animations
for
these
multiple
sub
projects.
Right
now,
it's
available
in
Lex
and
Mac
and
they're
working
in
a
Windows
version,
but
the
idea
is
to
have
it
freely
available
for,
if
you're
interested
in
an
open
worm,
you
can
see
all
this
stuff
pop
up
very
quickly
and
I.
Think
it's
a
very
good
way
to
introduce
people
to
open
one.
A
A
That's
representative
of
I
guess
one
development
and
so
I
don't
know
what
would
the
best
way
to
do
that
would
be.
We
don't
have
any
native
simulation
package
that
would
be
suitable,
for
this
I
mean
like
like
cybernetic,
is
basically
that
whole
project
is
just
a
software
platform.
So
it's
a
very
easy
thing
to
put
into
this
docker
container,
but
for
diva
worm.
We
don't
really
have
anything
that
we
can
put
in.
That's
just
kind
of
ready
to
go
so
I
would
require,
like
some
coding
and
some
planning.
Well.
A
A
It
runs
from
April
to
August,
but
of
course
the
application
period
starts
in
February,
and
this
year
we
have
two
projects
that
are
submitted
to
a
ncf,
which
is
our
sort
of
our
managing
organization.
One
of
those
is
on
pre
train
models
for
developmental
neuroscience,
so
we
talked
about
the
pre
train
models
and
D
form
ml
last
year.
A
The
developmental
neuroscience
part
is
because
we
have
to
make
it
neuroscience
e4i
ncf
to
sponsor,
but
otherwise
it's
really
just
about-
and
you
know,
there's
so
there's
a
deep
learning
infrastructure
and
the
idea
is
to
create
an
open
model
for
data
analysis
and
then,
of
course,
we
also
had
the
open,
Divo
civil
integration
project,
and
so
this
is
again
something
that
follows
up
on
what
Vinay
was
doing
and
Oswal
is
on
the
case
he's
working
on.
You
know
a
version
of
this,
so
you
know
we'll
see.
A
I
can't
promise
as
well
that
he'll
get
the
you
know
the
slot,
but
you
know
I
can't
do
that
because
of
the
program
they
don't.
Let
you
do
that,
but
I'd
like
to
see
applicants
work
out
the
problem,
and
then
we
pick
we
select
usually
the
best
person
for
that
there's
a
group
of
us
at
open.
We
evaluate
the
proposals,
so
good
luck,
whose
wall
on
that
that's
supposed
to
put
my
thumb
on
the
scale.
But
and
of
course
we
we
have
additional
data
science
infrastructure
that
we
can
follow
up
on.
A
We
have
something
called
the
Devo
zoo,
I
think
I've
mentioned
this
before
there's
a
link
from
the
website
and
it's
image,
data
and
models
for
Rio,
Genesis
and
rural
development,
and
that's
something.
Maybe
we
can
develop
more
this
year
with
more
forms
of
data
and,
you
know,
maybe
add,
features
like
you
know.
Tutorials
I've
talked
a
little
bit
about
to
Jessie
about
you,
know,
education,
and
how
do
you
like
learn
these
types
of
skills
that
you
might
need
for?
A
Doing
like
you
know,
data
science
on
Biological
images,
so
we
may
have
a
conversation
or
two
about
that
on
how
to
implement
those
things
Comparative
Development,
so
we
have
a
lot
of
in
the
DeVos
II.
We
have
a
lot
of
different
types
of
data
from
not
only
C
elegans,
but
sea
squirts,
which
you
see
here
in
this
ball.
A
Cells
is
a
very
early
embryo
for
sea,
squirt
and
other
embryos
and
other
developmental
processing
as
well,
and
so
there
are
a
lot
of
opportunities
for
comparative
development
and
I
talked
to
Richard
and
I
talked
to
Susan
about
getting
X
alot
of
data.
So
axolotl
was
a
annan
fit
in
that
you
know.
We
can
that
has
a
very
easy
to
view
developmental
process,
and
so
that's
something
else.
You
know
we
might
consider
you
know
highlighting
model
systems
or
looking
across
different
systems
and
then,
of
course,
this
ties
to
the
larger
open
room
data
science
initiative.
A
A
We
have
a
lot
of
videos
in
that
database
on
movement
of
C
elegans,
so
they
have
different
phenotypes
or
you
know
different
modes
of
movement,
for
you
know
just
across
all
different
types
of
conditions
for
C
elegans,
experimental
conditions,
so
those
things
can
be
mined
for
you
know:
data
analysis
for
analyzing
the
movement
things
like
that,
so
there's
a
lot
of
data
there.
We
also
have
a
lot
of
interest
in
have
like
building
an
inference
infrastructure
where
we
have
like
standardized
file
types
and
things
like
that.
A
There's
a
lot
of
in
the
weeds
data
science
type
stuff
that
people
are
interested
in
as
well.
So
that's
something
we
can
tie
in
to
also
merging
data
science
or
data
from
biological
systems
and
artificial
life,
so
creating
generative
models
in
merging
that
with
datasets.
So
I
told
you
about
more
for
more
fun,
MorphOS
oeq,
which
was
the
platform
that
Tom
Portugese
developed.
A
But
you
know
that's
like
one
instance
of
like
sort
of
a
generative
model
that
we
could
use
to
and
development,
and
maybe
even
you
know
more
of
a
morph
azoic
as
being
like
something
that
you
can
put
data
into
more
effectively
to
get
out
simulations
of
these
types
of
systems.
And
so
that's
another
angle
that
we've
not
really
followed
up
on
in
the
past
and
then
I
think
this
is
the
last
slide
I
talked
about.
A
A
You
go
into
this
thing
called
the
worm
viewer
and
it's
a
3d
model
of
the
worm
that
you
can
rotate
and
you
can,
like
put
you
know,
drop
all
the
cells
and
the
cuticle
out
of
the
worm
and
just
look
at
different
cells
in
their
location
in
the
body
of
the
worm.
So
you
know
you
can
do
experiments
or
just
look
at
some
of
the
neurons.
A
You
can
look
at,
like
you
know,
take
the
cuticle
this
skin
off
of
the
worm
and
look
at
what's
going
on
in
inside
the
worm,
different
muscle
groups,
things
like
that,
and
so
it's
a
very
nice
model
of
the
worm
that
you
can,
like
you
know,
that's
layered
or
you
can
take
things
out,
put
things
back
in
you
know
by
clicking
buttons
you
can
rotate
it.
You
can
zoom
in
and
zoom
out.
A
That's
a
nice
model
of
the
adult.
We
don't
have
anything
like
that
for
the
embryo
or
for
developmental
work,
and
so
that-
and
this
is
of
course
a
three-dimensional
model,
so
this
is
something
that
could
be
exported
to
a
virtual
reality
environment
where
you
have
goggles-
and
you
have
you
know
this.
Maybe
you
can
reach
out
and
touch
the
worm.
Even
that
would
be
a
virtual
reality
implementation
of
this.
So
there
are
a
lot
of
opportunities
for
making
this
virtual.
As
they
say
you
know,
there's
of
course
there
are
3d
360
movies.
A
Now,
where
you
get
one
of
these
cheap
set
of
VR
glasses,
that
you
can
put
your
phone
into
and
then
you
go
to
one
of
these
movies
on
YouTube
they're
called
360
movies,
360,
VR
and
they're
projected
there
they're
set
up
in
such
a
way
so
that
when
you
set
your
phone
into
these
goggles,
you
can
see
like
in
stereoscopic
vision.
This
movie,
so
I
mean
that
virtual
reality
is.
It
has
a
lot
of
tricks
like
that
that
they
play
to
project
things
into
your
field
of
view.
A
So
there
are
a
lot
of
things
that
that
they
don't
they
seem
like
they're
magical
but
they're,
really
not
that
hard
to
implement.
Technologically
you.
You
know
there
are
also
the
creation
of
3d
objects
like
this.
This
was
created
in
blender,
so
it's
not
too
hard
to
create.
We
can
create
3d
infographics
and
data
visualizations
as
well,
and
then
copy
sell,
3d
models.
A
So
when
I
was
at
Indiana,
University
I
talked
to
people
and
we
were
talking
about
copy,
sell
3d,
which
is
a
platform
that
they
have
at
their
Institute
and
they
developed
it
there
and
it's
a
model
for
they
call
it
a
cellular
pots
model,
but
it's
basically
a
variant
on
cellular
automata
and
you
can
model
cells
in
a
population
of
cells
like
this.
This
isn't
actually
an
embryo
that
they're
modeling,
but
you
can
also
go
inside
the
cell
and
model
gene
networks,
genetic
regulatory
networks
and
physical
properties
of
the
cell.
A
So
new
questions
to
explore
so
I
talked
about
technology,
but
they're.
Also,
research,
questions
and
I
won't
get
into
that
now.
But
we
can
think
about
what
kinds
of
new
questions
you
might
explore
just
in
terms
of
the
development.
So
if
we
have
access
to
data,
we
didn't
know
how
to
like
analyze,
data
and
model
things.
What
kinds
of
questions
can
we
explore
and
I'm
sure
that
there's
a
lot
that
we
haven't
even
thought
about
in
our
group?
So
with
that
I'd
like
to
exit
my
screen
share?
A
A
Well,
can
you
elaborate
about
copy
cell
3d,
so
I
guess
yeah,
so
it's
a
modeling
software,
it's
written
in
C++
and
there's
a
developed
developer
community
where
people
have
developed
these
models.
If
you
develop
them
for
papers
usually
for
academic
research,
but
it's
I,
don't
know
how
easy
it
is
to
use
ROI
once
you
get
into
the
weeds
on
it,
how
it
is
to
build
a
model?
A
Okay,
but
then
it's
basically
where
you
can
take
like
they
have
these
building
blocks.
So
they
have
these
cells
that
you
can
build.
You
build
them
into
a
structure
and
then
you
specify
what's
inside
the
cells,
so
like
cells
can
just
be
like
nondescript
cells
like
you
know
something
that
doesn't
have
any
properties
at
all
and
you
just
simulate
a
you
know.
Maybe
like
a
tube
of
cells.
Maybe
like
it's
a
some
sort
of
like
vein
artery,
you
know
or
it's
like
a
live.
I
think
I
saw
a
model
of
liver
when
I
visited
them.
A
It
was,
you
know,
just
basically
where
you
have
the
compartments
of
the
organ
and
the
cells
and
they're
doing
some
function,
and
you
use
you
can
use
a
robe
attitude,
calibrate
everything
or
you
can
generate
your
own
data
to
say
well.
This
is
how
we
think
it
works.
So
it's
very
flexible
now,
I,
don't
know
how
easy
it
is
to
take
one
of
those
models
and,
like
you
know,
put
them
on,
you
know,
put
them
into.
A
A
A
So
that's
why
I'm
excited
about
it,
because
if
you
Brooks
point
now
where
we
have
a
lot
of
data
floating
around
and
that's
a
matter
of
like
you
know
putting
it
into
something
interesting
that
people
will,
you
know
really
be
able
to
interact
with
Nick
said
I
would
like
to
present
on
the
flipping
microscope.
Yeah
I
was
gonna.
Put
that
out
we're
gonna
get
to
the
schedule.
One
a
minute
here,
we'll
put
that
on
there.
I
would
like
to
see
that
as
well.
A
I
think
that
would
be
interesting
for
the
group
Jesse
said:
I'm
interested
in
the
docker
project,
education,
outreach
of
course,
and
also
some
things
related
multi
scale.
Generative
model
data
science,
artificial
life
item-
have
to
check
out
the
cybernetics
platform
as
well.
What
cybernetics?
So
it's
okay
go
to.
The
so
spoke
like
that
and
I'll
send
out
that
link.
So,
let's
move
on
to
the
or
just
saw
the
scheduling
of
the
agenda
so
getting
up
at
prince
the
top
of
the
hour,
so
I
don't
wanna
overboard
here.
A
A
So
this
is
our
weekly
agenda.
I,
just
put
it
up
by
week,
going
up
to
the
end
of
May
I
just
wanted
to
weigh
it
out.
We
may
or
may
not
meet
every
week,
depending
on
schedules
for
January
27th
I
put
in
Devon
chin
Yosh
they're
gonna
do
a
presentation,
deep
learning
architectures,
so
they
are
a
parody
scheduled
that
from
the
gavage
us
at
the
time.
So
dick
wants
to
do
something
on
the
flipping
microscope.
So
what
would
be
a
week
for
you
to
go?
Oh.
B
C
B
B
B
B
Okay,
this
is
an
example.
There
goes
upside
down.
You
can
see
it's
rotating.
It
takes
a
few
seconds
to
go.
Take
pictures
as
it
rotates
okay,
so
the
problem
is
introduce
lots
of
day
and
like
this,
the
problem
is
to
create
a
three-dimensional
surface
to
do
the
whole
break
of
fun.
These
flipping
sequences
and
we
flip
it
in
different
directions,
so
rights
itself
in
different
directions.
So,
basically
it's
a
montage,
a
problem
to
proceed.
B
The
back
of
the
whole
surface
of
the
enemy
are
from
energies,
taking
these
different
views
which
again
loaded
by
journal
and
we're
upside
down,
letting
it
show
the
so
plate
set
up.
Okay
and
it's
a
very
explicit
problem,
I'm,
not
sure
what
the
best
approach
is
to
really
read
it
or
something
nothing
to
connect
the
edges
and
produce
this
montage
at
the
whole
service.
B
B
Insane,
it's
actually
four
dimensional
data.
Could
this
is
developing
over
time?
Then
they
attract
all
of
the
events
on
the
surfaces
to
this
embryo
versus
time
that
the
Sun
is
will
know.
If
you
do
this,
there's
all
kinds
of
analyses
that
we
follow
once
we
have
the
ability
to
produce
these
montages
okay.
So
that's
that's
what
it
said.
Okay,.
A
B
A
So
I
guess
I'd
ask:
does
anyone
else,
have
any
questions
or
is
anyone
else
interested
in
presenting
for
a
certain
week?
We
don't
have
to
make
a
decision
now
on
presentation
times,
but
you
know
he
like.
Maybe
if
you
just
email
me,
we
can
put
it
into
the
schedule.
So,
as
you
saw,
we
have
this
empty
schedule,
so
we
have
a
lot
of
open
eights.
A
A
Mean
it,
you
know,
you
know
you're
not
like
I,
don't
hold
you
to
that
time,
but
it
gives
you
a
couple
weeks
to
put
in
like
some
I'd
get
the
presentation
together
so
and
then
Jesse
I
think
we
talked
about
doing
some.
You
know
some
presentations
of
papers,
some
shorter
presentations,
so
we
had
a
couple
of
papers
that
we
talked
about,
and
might
we
would
probably
just
do
that
in
session
here
just
to
save
time,
I
don't
know
when
your
would
be
ready
to
go
on
that.
A
I
mean:
doesn't
we
don't
have
to
make
a
decision
about
that
now,
but
so
anyways
I
I,
guess
that's
the
we're
at
the
top
of
the
hour.
Thank
you
for
attending.
If
you
have
any
other
I,
don't
know.
If
anyone
has
any
other
questions
that
they
want
to
bring
up
or
I,
don't
maybe
we
could
wait
till
next
week,
I'll
send
out
an
email
going.
A
You
know
with
some
of
the
links
from
today's
materials
so
and
then
next
week
we'll
be
meeting
again
early
know
what
the
topic
is
yet,
but
we'll
all
come
up
with
the
topic.
I'll
send
out
an
email
on
that
as
well.
Okay,
all
right!
So
there
no
more
questions
thanks
for
attending
and
talk
to
you
guys
later
have
a
good
week.