Energy machine learning and analytics
in the energy sector for the South

big data hub I'm or not-A Rawlings GA So
some of you are had my email or

at least gotten some of the good
some of your talks and BIOS.

So this morning we're going to start off
running a little about fifty minutes late.

So instead of talking about the South
hope I am the CO executive director for

the South big data hub and it's had
two locations here at Georgia Tech and

then also another one at U.N.C. so.

Just starting off with a personal story my
background is in population Gennaro mix

and bio physics.

So I did a lot with whole genome
sequencing and next generation sequencing

and that was my outran to this big
data because we got a lot of the same

types of scale of data as we went
across different populations and

looked at drugs interactions in
different in different populations.

So I ended up spending more of my time

on database management and
then also saw some over discovery and

then also analytics capabilities
once it got past the science.

So I went to N.S.F. I went to policy maker
to look at what is going on a big data and

where the trends in computing that
can help in different sectors.

So at the National Science Foundation and

also at the White House level there was
a big initiative for big data at the time

with two hundred million dollars for R.
and D. investments in big data and

looking at a strategic plan for the nation
of how old because all of this data

is happening in different sectors not just
bio but in energy but in business but

in materialism manufacturing and
what are some of the policies and

ways that you can spark investment and
then also spark research in this area for

the federal space for
industry and for academia.

So I spent a year and a half working
with all of different federal agencies

nineteen of her fellow industries
that fund big data and

data science computing in different areas
to look at a Federal big data strategic

plan it just came out in march through
the White House Office of Science and

Technology looking at what
are the priorities for our data and

data related research going forward
in the federal Now landscape so

it's kind of broken up into three
areas as big data tools education and

workforce as a big thing infrastructure
data access translating all of

this data into actionable knowledge and
decisions and privacy and security.

And then the last piece of cord nation is
the fact that there is not a lot of cord

nation between disciplines
between industry and academia and

government around what to do in
this space and there's some but

that coordination piece was key in trying
to get a lot of the investments for

that original partnership
program together.

So one of the rays that the different
agencies wanted to respond and

this is one way that N.S.F. wanted to
respond the National Science Foundation

is with the regional innovation
hubs program so they put in

about ten million last year into four
big data or regional innovation hubs.

There's the southeast which are have
this meaning for the northeast.

The Midwest and the West and it's broken
up by the Census areas people always ask.

So the South has sixteen
states as Delaware to Texas.

We also have the executive director for

the Midwest big data hub right
here Melissa Craigan and

them there are the two counterparts in the
Northeast and the West and the real push

is to help catalyze partnerships and
coordination in this space.

So among different disciplines
that work with similar data and

also among industry academia and
government to try and close.

A loop on some what the federal
government calls grand challenges.

So looking at things that
actually can affect society

at a larger scale that require
these bigger partnerships.

So for instance in the West there
could be water issues and drought.

You may need local government.

You also need non-profits and

academic research in some cases you
need buy in from different places and

where's the coronation coming for
that in the south the coastal hazards and

other focus areas the Midwest can be
digital agriculture and other things.

So this is the question I get a lot of why
regional Why not just do a national big

data and initiative and
one one answer is that there are differing

resources in some cases different
challenges that can be regionally

specific like drought or
digital agriculture that may not make it

to the forefront in
a national organization.

This is just a think tank that actually
looked at different states and

what their data accesses
in the different states and

how easy it is to get data from
different types of places in the south.

Specifically we have you can see this is
a weather so which stream whether you can

see the Southern states all sixteen
of them actually turn up red

as opposed to other parts of the country
for looking at coastal Hauser's

this is also just an effort academic for
looking at HIV So that's two reasons

we have right now in the southern
hub around five hundred members.

This includes academic nonprofit industry
partners across the sixteen states.

This is the main partners that
are shown in the two publications

the Georgia Tech and U.N.C..

So last year we had a all
hands meeting that we had

about two hundred fifty people from around
the sixteen states and the idea is now we

can fund spoke projects which are these
partnerships these actual partnerships so

from that meeting we got around
seventy spoke project proposals and.

Folks can be are mission driven projects
that can be funded up to a million dollars

each for doing the work of addressing

some of these challenges and building the
building the partnerships and addressing

challenges with industry academia and
government and across different sectors.

So the heart is the spokes and
then we can have communities that come out

of the hub so
these are the communities that are for

the Southern hub these are the focuses
we have health care energy and

materials are manufacturing Smart Cities
economic modeling privacy and

policy and then data sharing and
infrastructure and there's also a working

group on education data science education.

So these are examples of spokes.

We're going to different types of things
you can do pilot projects you can

do stakeholder engagement ideation

kind of an overview of the hub
of the different areas.

The theme communities and what it and
the programs that we've done so far we've

worked with the White House Office on
bringing census data into a move for

chill out for
youth to learn data science but

to learn it on this new federal open data
so they can look at opportunities in

their communities to connect graduate
students to data related start ups faculty

to do fellowships and
exchange programs with industry so

that you can solidify those research we
actually look at early career faculty so

you can solidify some of those research
connections early with industry.

And different events so this

is one of a part of a series we just did
materials in manufacturing two weeks ago.

We'll be doing health
precision medicine and

health disparities in two weeks from now

looking at problems in social good mobile
house and smart cities coming up next.

So these are the federal agencies and
so that P.I. here at Georgia Tech

assured of us a little room and
this is only a stand a whole U.N.C..