Leadership Panel—Genesis Mission Summit 2026

U.S. Department of Energy
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Jul 29, 2026
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Video Summary
AI GeneratedThe Genesis mission is a comprehensive \"whole-of-government\" initiative led by the DOE to accelerate AI-enabled scientific discovery. By coordinating federal R&D across agencies like NASA, NIH, NSF, and the DoD, the mission leverages massive compute power and interagency collaboration to drive breakthroughs in national security, health, space exploration, and industrial leadership.
Well, I hope everyone was inspired
and received more detail and more insight
into what is trying to be accomplished
with the Genesis mission.
Clearly a lot, but there's a path
and there's an ability for us to come together
to accomplish what Undersecretary Gill
so eloquently demonstrated
as long with the other, the demonstrations.
Today, we're lucky to be joined with the,
by the CTO of the United States, Dr. Ethan Klein.
The Genesis mission has been said
that it doesn't just represent a whole of DOE effort.
As you saw with our interagency partners,
it's a whole of government effort
and truly a whole of country
and with our international partners.
That includes the Director of NIH, Dr. Jay Bhattacharya,
the NASA Administrator.
Okay, come on up, Ethan.
Thank you all for joining us.
In order.
Good day.
How are you?
Good morning, sir.
All good.
I'll just sit here.
You guys are all part of Genesis mission now,
so you can sit wherever you want amongst family here.
Well, first, just to everybody who's here,
what an exciting day.
I know you've already heard from Secretary Wright,
Undersecretary Gill and Director Kratios,
but I mean, it's just been so incredible
to see how far this mission has come
over in truly in under a year.
And I think one of the most exciting points
that Director Kratios had mentioned
that we from the White House care about
is to have, I mean, truly the entire federal R&D enterprise
now a part of this Genesis mission.
And so I just wanna say a huge thank you
to the Department of Energy
on all of their incredible work
to develop out this American science and security platform.
And with this initial batch of national S&T challenges,
which today we're so excited to see
as an expanded set of S&T challenges
that's really bringing to bear,
I mean, the entire federal R&D budget,
near $200 billion that we are moving
towards this new era of AI-enabled scientific discovery.
And with the announcement of over $5 billion today,
I just wanna give our panelists here
an opportunity to first to speak to
how their departments and agencies
view the Genesis mission,
the announcements that we have today
and what they're most excited about.
So with that, Jay, why don't you kick it off?
Well, first, Ethan, thanks for having me here
and thanks for allowing us to participate
in probably Genesis, Biogenesis,
I'm calling it Biogenesis, it's Genesis,
but you know, I mean,
I think the NIH is an incredible organization
and to watch it embrace AI in every aspect of what we do,
from basic scientific discovery to clinical application
to the design of randomized trials
and mundane things that are like fundamental,
like recruitment of patients,
to solving pediatric cancer, all of this is so exciting.
And with the investments and the organization
that's been put to this,
the energy that's been put to this
through Project Genesis,
the collaboration with our DOE colleagues
and with the NSF and all the folks you see here,
it's an absolute, I mean, I'm getting chills
just thinking about it.
I think I wrote some things up with you guys,
so I might read them.
So let me just say, I think we have amazing tools now
that look to me like science fiction,
like we can solve problems
that we're just completely insoluble for.
Everyone knows about the protein structure, right?
That's not yet a solved problem,
but it's so much closer than I ever thought
would be possible.
But what about understanding how the genome works,
how it interacts with the cells,
did models of the cells so that we can better figure out
what drugs are likely to work
and what are not likely to work in human bodies,
things that we just couldn't imagine before we can do now.
And it's the collaboration with our agency colleagues,
the focus on getting compute power
at the hands of scientists readily without any paperwork.
Well, there's always paperwork,
but as little bureaucratic hassle as possible,
it's just a super exciting time to be alive.
And I'm grateful for all of the folks at the NIH
and for LSTP for making this possible.
Brian.
Well, let me just add to what Jay said.
First of all, at the National Science Foundation,
we are just very pleased to be part of this effort.
People often ask, how do you work with the other agencies
or we should partner more?
We are absolutely locked in lockstep
with all the agencies you hear today.
We have tremendous relationship with DOE.
I think they're pretty much our biggest,
one of our biggest federal partners.
So when people say, how do you feel about working with DOE?
It was like, yeah, we work with them every day
and this is gonna be even better.
So for 76 years, NSF has been focusing
on foundational research.
And the Director Kratzios mentioned in his remarks,
the Golden Age of Science document.
And in there, you're gonna see a lot of references
to foundational science.
That's what we do at the foundation.
And we support everything, basically every discipline
from astronomy to zoology and everything in between.
The thing that we're most proud of
and we're most excited about is the fact that
anytime the government harnesses this kind of horsepower,
I think the key thing for when people ask me
about the Genesis mission, I'm like,
look, anytime we get this amount of horsepower together
and we start pulling in the same direction,
amazing things start to happen.
That is like from a national security standpoint,
from a productivity economic standpoint,
if you can get government agencies working
with the level of coordination that we're gonna have
on the Genesis mission, get out of the way and watch out.
Because that's what, that's all of the significant events
that we've had in the US have,
all the things that Dario was mentioning
and the things that he talked about in his remarks,
these significant events involve this level
of deep coordination across federal agencies.
And that's what we're on the edge of here.
And that's what's so exciting.
You know, we're gonna, I'm sure we'll talk about
what we're putting in, but like I said,
we're just very happy to be here and really excited
about the kinds of contributions that we're gonna make
and unlocking the science for the future.
All right, thanks for having me here, Ethan.
You know, Department of War, people sometimes forget
we're a department of three and a half million employees,
active duty, civilian, and we run schools,
hospitals, military bases, people live on ships,
so we have like really all kinds of different avenues
where we gather data, we need intelligence,
and we do so many things that being able to contribute
to this mission gives us both a lot of things
to contribute across all these dimensions
and a lot of benefits to get,
which is why we're able to do, to contribute,
you know, nearly a quarter billion dollars just this year
and next year, about 1.4 billion to the Genesis mission.
So really big numbers that we're proud of
because we think the collaboration between DOE
and Genesis and Department of War is gonna be so important
when you just think about things like quantum computing,
biomanufacturing, dynamics, all the things
that go into the variety of things we do
at the department, quantum sensing data, you name it.
There's so much we could do together.
We also have a big compute initiative
because of how AI is becoming more important
in every facet of what we do
from a war and defense standpoint,
combining that with what's being done
at the Department of Energy for Energy
is gonna be one of the most synergistic,
amazing things we could possibly do,
and I'm really excited we're starting this term
with this kind of energy and this kind of commitment
from the people up here.
Thank you.
Well, first, just wanna say how incredibly grateful I am
at NASA for the Genesis mission.
I think this is absolutely genius
from President Trump, Director Kratios,
Dario, the Chief Technology Officer, United States Mayor,
to bring this whole of government effort
of which we would not be able to,
at least at NASA, undertake and achieve
many of the great scientific discoveries
that are on the horizon without this capability.
It would just be impossible without our budget.
So being able to contribute in, for example, NASA,
which we estimate over $100 million for the next few years,
but combined with great investments from DOW
across the scientific community of the nation
is very enabling.
So I'll tell you two areas
that I am extremely excited about
what we'll be able to do with the Genesis mission.
For starting, what have we missed
and what are we likely to miss in the years ahead?
To give you an example, just through archival data,
NASA has accumulated enormous amounts of data.
A teenager last year,
you might have seen some of the headlines on this,
through NASA's archival data
with off-the-shelf AI applications,
discovered a new galaxy.
Now, you would think that's something
we probably shouldn't overlook.
There happen to be over two trillion out there,
so I guess it's not that unusual.
But this problem, or perhaps opportunity,
is only gonna get bigger in the years ahead.
For example, on August 30th,
a Falcon Heavy will launch
the nation's greatest exploration asset ever,
the Nancy Grace Roman Space Telescope.
To put this a little bit in perspective,
you're talking about 100 times the field of view of Hubble
with 1,000 times the scan rate.
We're gonna get an awful lot of data.
And we were just talking, actually, before this started,
that when you combine the Vera Rubin Observatory
from the National Science Foundation
with the NEO Surveyor Telescope,
we're gonna be able to catalog, potentially,
all of the dangerous asteroids
in a very short period of time,
which will give us opportunities
for planetary protection missions in the future,
which, again, is just incredibly exciting.
So think about access to AI for what we may have missed,
what we may learn in the future,
answers to questions we haven't even thought to ask yet.
And then the second is
when it comes to technological development.
You have an appreciation,
we try, it's hard, actually,
to have an appreciation for the scale of our solar system,
let alone the Milky Way galaxy around us in the universe.
And to overcome that tyranny of distance
in the pursuit of world-changing scientific breakthroughs,
we are gonna have to leverage AI
and partnerships with DOE
to advance new forms of propulsion.
I mean, we are reaching the limits of chemical propulsion,
which releases just a negligible amount of energy and matter.
So as we look to fission-based propulsion mechanisms
or fusion, which another obvious evolution of it before,
which we're still talking about
fractions of energy potential of matter
before maybe we get to some of the really exotic stuff
that help us pursue and extend our reach
into other star systems.
So all of these endeavors,
which are really exciting to just talk about,
and certainly in pursuit of the golden age
of science and discovery,
would be impossible for NASA to even dream of achieving
without the Genesis mission.
So just really grateful for participating in that.
Well, thank you very much to all of our panelists.
Maybe to follow up on Administrator Isaacman's point,
to the other panelists here,
are there specific challenges?
We're up to now 33 challenges.
That's an expanded set from the initial batch
that were announced previously,
both expansion of those original DOE challenges
and also some new ones in there.
So we're very excited to see what's to come there.
And obviously for already beginning implementation
on the initial batch of challenges,
are there any specific kind of topics
that other panelists here would want to raise
that you're particularly excited about?
I think something that is so incredibly exciting
about the Genesis mission is the notion
that this isn't just one single area of our society
or a scientific discovery that we're looking to apply AI to.
This is across every area from health to education
to energy to transportation.
And so maybe if folks want to just to speak a little bit
to some of those particularly exciting bits
of the larger portfolio, okay?
Sure, so one of the great frustrations
of the biomedical sciences
is that you have these fundamental biological discoveries
about the genome, about the cell, about living systems,
but the time it takes from those fundamental discoveries
to actually making a difference in the lives of patients
is it's far too long.
With AI, we have the capacity
and I'm today setting a goal of having that time,
cutting that time in half between fundamental discovery
and fundamental transformation of patient care.
And some of the things I'm most excited about,
we actually had 13 challenges,
we scaled it down to six
because we're still gonna do those 13,
but just so it's another thing.
One, we're going to advance our knowledge
of predicting living systems.
So we use AI to model and forecast the behavior
of complex biological systems.
This will enable, this will just unlock drug discovery
because you won't have to wait
until you get the animal model results
and you'll be able to much more rapidly
go through all of the potential interventions in silico
and then you'll be able to make advances
in living systems much faster.
Scaling American industrial leadership,
a major problem right now we have
is that all of those great advances in genetics,
to apply genetics, it requires cell manufacturing.
We have in many ways seeded that leadership to the Chinese.
We're going to invest using AI to bring home
that kind of cell manufacturing technology
and it'll make an immediate difference
in the lives of patients.
Early detection of biological threats,
that's a tremendously important application of AI
that needs a lot of work.
I already mentioned pediatric cancer
and accelerating drug discovery and clinical translation.
And finally, addressing the root causes of chronic disease.
All of those are going to be accelerated with AI,
with these tools that the DOE
and the rest of federal government has unlocked.
Well, let me start by saying
we're just tremendously excited
about the portfolio of investments
that we're going to be making.
One of the biggest things that we've been doing
for the past couple of years
is we've been stewarding something called
the National AI Research Resource, or the NAIR.
We worked with DOE on that,
a lot of the other federal partners.
We have tremendous interest from the private community
and foundations.
We're very pleased that NAIR is going to be providing support
to some of these several hundred projects
that DOE has announced today.
That investment is allowing us to kind of bridge the gap
and kickstart some of the things
that are going to be taking place.
So that's the first thing.
Today, we're going to announce four major initiatives
that are coming out of NSF for Genesys.
The first is we're going to be investing $380 million.
Actually, it's probably well over 400
by the time we're finished.
So I'll say well over $400 million
worth of programmable cloud labs.
We're going to set up 20 test beds across the country
to do discovery, to really accelerate the pace of discovery
in everything from material science to chemistry.
Again, we're laying these foundational investments
that are going to let all the scientific disciplines
that we support, which is literally everything,
use that to massively accelerate the pace of discovery.
So the things that I really,
I like the fact that we were leading with the science
here this morning in the four discussions.
All the things that you heard on that
are going to be replicated across every other discipline,
and that's what we're going to be doing
through these programmable cloud labs.
The key thing is we've been involved,
we were involved very early on in things like,
oh, the internet, and NSF didn't invent the internet.
We enabled universities and institutions to connect,
and it was that connectivity that really catalyzed things,
and that's exactly what we're doing
with the Genesys mission right now.
That's the point.
I think everybody needs to keep that in mind.
We're creating the conditions for success
that are going to drive us forward
for the next 30-plus years, just like we did before.
This is the new wave.
We're about to hit the gas on this.
The interesting thing, we were talking about these PCLs
as we were coming down here today.
One of the most important things about science
is being able to share results,
and the Golden Age of Science document
talks about also celebrating negative results,
like what you learn from failure is extremely important.
So again, our conversation was the faster you can fail,
and the more you can share that with other people,
the less other people have to duplicate your failure
in order to succeed.
So that's what this kind of connectivity is gonna do.
It's gonna let people share their results,
and then you can continue to build on that,
and that's gonna be a real force multiplier for us.
The second investment that we're announcing
is $80 million in infrastructure,
and Michael talked a little bit about that in his remarks.
We are going to be making investments
in data infrastructure, so the hardware,
the things that we're gonna need
to leverage the next part of our investment,
which is over $100 million in AI data-ready data sets.
We have hundreds, I mean, you can imagine,
through all the scientific disciplines.
We need to do what we did with the Protein Data Bank,
which we invested in for 50 years, by the way.
We need to do that across every discipline.
So having data sets that you can trust and leverage,
and then being able to have the infrastructure
that you can unlock,
that's gonna be extremely important.
Then the last thing we're gonna do,
which, because we're NSF,
we always do a Dear Colleague letter,
so the last thing we'll do is a Dear Colleague letter
that's really going to encourage our research community
to think about Genesys as they propose
to all the other programs.
So there's what we're doing specifically for Genesys,
and then there's that connectivity
across all the other fundamental research.
We're gonna encourage people to use the hardware
and the opportunities that we're creating.
So I'm really excited about that.
I think we're, if you like what happened
with the PDB and AlphaFold, just wait.
There's gonna be a lot more of that.
A lot of x-ray crystallography went into that.
Absolute data, so just for the record.
It was a team effort.
It was.
What I'll add from the Department of War standpoint
is we love this notion of challenges.
DARPA's done, which is part of our team at RD,
DARPA's done challenges over time,
and it's created this fantastic dynamic
of encouraging people to both work
from a competitive spirit standpoint,
but to really sort of set a goal out there
that people can drive to that's not amorphous,
that has more tangibility to it.
So we've proposed seven challenges here
for the Genesys mission,
and we're not gonna just set the challenges.
We're gonna bring the people and the data set,
the expertise, world-class talent to it
to really give it some oomph,
along with the budget that we can provide.
I won't outline all seven,
but there's a few we're particularly excited about,
and we've had driven through the office of OSTP
from Kratios and from Ethan here.
Quantum's been a big initiative overall across government
that we talked about a couple of weeks ago
in a big setting, but for us,
the Quadrant Systems for Discovery Challenge,
we're looking for the next foundational breakthrough.
Quantum sensors are pretty limited
by their fragility right now,
so we wanna use AI to manage the quantum noise
and error correction in real time.
If we could crack some of the basic science challenges
through Genesys in this challenge,
we'll really accelerate the transformation
of quantum sensors into applied use cases
by completely unjambable positioning, navigation,
and timing, which is really important
in a defensive war setting,
given how crowded the electromagnetic space is,
and when you see what happens when nations
that didn't have these kinds of capabilities
now all have them to be able to block GPS,
which is a very important tool for our war fighters.
The second one is scaling biology,
not quite in the way that Jay is talking about it,
but for our bi-industrial manufacturing challenge,
how we use AI and bioreactors
to create digital twins of organisms
so we can manufacture our own advanced fuels,
chemicals, and materials so we can secure a supply chain,
because we have a lot of weaknesses
in our defense industrial base
and the broader American supply chain
because of our outsourcing and dependency
in our adversary supply chains.
You see that with critical minerals
and lots of some of the other things I mentioned,
and domesticating those,
instead of trying to replicate the old methods
that have been done before,
how do we have new methods of doing it
that are cheaper, cleaner,
and give us more control over our supply chains?
Those are the two I'm really excited about,
and thanks for catalyzing this with Genesys,
because I think it forces some really good behaviors
that are gonna give this nation
incredible benefit in the decades to come.
I think it's interesting that what you're hearing here
is both from the foundational research
all the way through the actual manufacturing
and development of supply chains here in the United States.
This really is from scientific discovery
all the way through reindustrialization.
Genesys is able to catalyze an entire pipeline.
One question for you, Administrator Eisenman,
before we saw some very inspirational videos
that hearkened back to these national missions of old,
and I'd welcome folks to take a look
at the FY 2028 Research and Development Priorities
and Science in the New Golden Age
that Director Crassius alluded to.
There's a lot of discussion there
around these ambitious national science
and technology missions.
The president has either signed out
through executive orders.
Obviously, NASA has been involved with many of those
throughout its history,
and I'd say even of recent with Artemis II,
there's been this incredible excitement
that we've just seen from across the globe
with some of these ambitious challenges.
You've announced, obviously, around space nuclear,
around the lunar base.
I think there's no more exciting topic.
Certainly, when I'm on social media or retweeting,
that's really when folks get jazzed
about seeing this excitement.
How do you view Genesys as playing a role
in terms of some of these larger,
multi-year, multi-agency missions?
Yeah, and again, very appreciative for the cooperation
because I can't think of any of the exciting missions
that are on the horizon that in some way or another
are not gonna take advantage of this program.
So we, as I described before,
they fit generally in two broad challenge categories
of ensuring American space superiority,
which in my mind is the technological development
to extend American humanity's reach farther into space,
of which certainly the moon base
is step one on an exciting journey,
and the other is just all of the data
that we will inevitably gather
and have already done so through past missions
and making sure we don't miss another galaxy.
And I would say there's a lot that's going into it.
First, I mean, it's hard enough
to return astronauts to the surface and moon.
It's been more than a half century since we've been there,
let alone establish humanity's first outpost
on another world, like building a moon base,
of which the entire phase one over the next few years
is just the science of survival, as we call it,
because we don't know what will or won't work.
So we're gonna send a lot of missions
with a lot of sensors to learn an awful lot.
I mean, at this point, we don't know
if we're gonna have to be using some of our rovers
just based on plume surface interactions from big landers,
because what we're talking about landing today
is very different than the grumman lem of decades past.
Are we gonna have to use our rovers
to pave landing zones on the lunar surface itself?
So generally speaking,
everything about the architecture of the lunar base
is one of the highest priority initiatives
that we've included
in the Genesis mission program challenges.
Maybe just talk a little bit
on some of the scientific missions itself
that are being designed end to end with AI now.
So Da Vinci is an exciting mission
to the extreme atmospheric pressure environment
of Venus coming up.
And we're taking a little bit
of what we've already had an opportunity to learn
with incorporating AI into some of our Martian rovers,
recognizing the transmission delays make it not impossible,
but not ideal to have a human in the loop at all times,
and building that into a mission from the get-go
where it's gonna leverage onboard AI capabilities
to decide where it needs to go
and what information it needs to gather
and what that it has gathered is most important
to the scientific community to send back home
before its life should end.
And it's an entire end then,
but certainly I expect will be a model going forward.
And then you brought up the world's first
nuclear powered interplanetary spaceship,
SR-1 Freedom that we look to launch in 2028,
which we hope is the beginning
of the almost analogous nuclear Navy for NASA,
which goes right to the heart of American space superiority
and being able to reach out beyond the limitations
of chemical propulsion,
which case managing a reactor in that environment
with 20 plus minute transmission delays is not optimal.
So that will certainly be a component
of our Genesis mission strategy.
And more importantly, maybe even the evolution
as we try and optimize mass
and get to higher reactor temperatures.
And shed some of the football field size radiators
that are initially required in that approach.
So lots of exciting things when we would,
as I said before, be impossible for us
to even consider undertaking it
without this kind of partnership.
Thank you.
So one thing, Brian, that you had mentioned
in terms of foundational research
and the idea of issuing this DCL,
which I think a lot of the folks in the room know about,
but this notion that Genesis will be integrated
into so many core aspects of NSF's mission,
so many of these different areas
where scientific discoveries can lead to results
and the applications that we're hearing here
that are being solved under Genesis.
There's an open question for the panel here,
but where are there kind of opportunities
for interagency collaboration as part of Genesis mission,
whether in terms of infrastructure,
the challenges themselves?
So I think that's one thing for folks to note here
across these expanded science and tech challenges
is that the vast majority of those,
there's no single agency that's involved there.
These really are all collaborative challenges
that since February,
when we first had a convening of everyone here
and there was so much excitement around these missions,
folks said, hey, we would love to work with you
on that topic.
So just for folks on the panel here,
where do you see those opportunities
to create some of those new connections
across the federal R&D agencies?
You're already seeing it here, Ethan, firsthand.
I think the amazing thing for me about Project Genesis
and the OCP's leadership in this
has been we've had a chance to convene
the science and technology leaders
across all the agency of the government in one place
and share ideas, share advances, share goals.
And it's a bit like, so for instance,
the Biogenesis mission of detecting biological threats,
we work closely with folks across the government
in this endeavor because the knowledge
for the data systems we have
come from potentially from other parts of the government.
The capacity to do the compute comes from Biogenesis,
from Genesis, from DOE,
from other parts of the government,
as well as our own investments.
It's this all-of-government approach, I think,
is going to, this all-of-R&D approach
across the government, I think,
is gonna be the pivotal thing
that'll make the difference in all of these
amazing missions that you're doing.
Yeah, I'd like to collaborate with Jared
on everything cool he just said.
But seriously, I think one of the things that is,
one area that we all can definitely agree
is important to all of this is the people aspect.
We have to work together to create
the workforce of the future that is gonna be AI-enabled,
but AI-literate, that's a big thing right now.
What does it mean, we're going to have to,
we're gonna have to develop the training
and the opportunities for people to understand
how do you harness this?
Because we serve a lot of the same communities.
The people that work for all of you
are the same people that we fund, and that's good.
That means that people can move across
the research and development enterprise,
but we really need to lean into the workforce piece
and make sure that we're doing everything that we can
to make that American workforce
that's gonna power this whole thing.
The other opportunities, I think one of the things
we're excited about at NSF is DOE in particular,
and NASA, and NIH, you all bring these rich
laboratory environments that have
very specialized expertise.
I think, for example, we can,
and sorry, I left out Department of War.
But if we want to work on things that have applications
for the things that Emil mentioned,
like precision navigation and timing,
or if there are things that have dual-use applications,
it's excellent to have that connectivity
so that when we get it to a certain point,
we can say, great, and now it goes over in there
and it supports our national security missions.
So anything that we can do to make it easier
for people to transition from the private sector
to universities, to federal labs,
with that kind of seamless connectivity
is gonna be very, very important for us in the future.
The other thing, and again, I'll just put it
because all of us, I'm sure, read the R&D priorities memo
at 10.30 last night, but the biggest thing is
we have to create those opportunities
for the early career workforce.
The priorities memo, the Golden Age of Science
talks about investing in individuals
and having them have these kind of portable experience
that they can bring across the enterprise.
And I think it's gonna be, it's our job
to figure out how to do that,
either through fellowships or opportunities
to support people so that if you start out
as an NSF researcher and you end up
working in the Department of War,
we all get a piece of that.
I guess I'd give a little historical opinion
and then give you some ideas on cross-agency collaboration.
We think about the 20th century,
it was more chronological in that
we had our military strength,
and there was some overlap here
which led to our economic strength,
which led to our technological strength
in the late 20th century where we really just zoomed out
in all dimensions on technology
across other countries all over the world.
The 21st century is really technological dominance
of strength is going to drive our military strength
and drive our economic prosperity.
And in an AI world where technology's primarily
or sort of rooted and catalyzed by these AI technologies,
data is sort of the fuel for that AI technology.
And that's federated across the whole world,
but certainly across the government
within our own departments.
So breaking down those data silos
is just something that is trite at this point.
But it's a real opportunity with Genesys
to combine the data sets we have
across as many domains as we can.
That'll feed AI, which will make
our technological discovery process incredible.
And we're the only country in the world
that really has quite this sophisticated,
diverse data sets that we've been,
across our agencies, that we can combine those.
I think that's going to be a big win for us.
And there's examples of where that could happen
in the near term, early detection of biological threats.
There's no agency that has that mission right now.
But if we have the Genesys platform,
we could take data from HHS, from USDA,
Department of War, Department of Energy.
You can really sort of create a system
where we're detecting anomalous biological signatures
at speed and scale, which is also important
because adversaries could use these models
to create novel bio threats or novel chemical threats.
So these are examples of just how history's changing
and how we have to think is changing.
I think maybe with respect to just cross agency
collaboration that leverages the Genesys mission,
where that would be, I would say examples
are most applicable for some of the things
we're pursuing with NASA.
And this again, with every one of my colleagues
on the stage and those that aren't here,
I mean, soon in the very near future,
that the limitation for human space flight
won't be the technology for getting where we wanna go,
but the physiological and almost psychological limitations
of which certainly, well, I mean, artificial gravity
has been featured in science fiction,
which is not broken to physics could be there.
I would also take a pharmacological potential solution
to some of the just degradation that happens
in the unique environment of microgravity,
or for example, with NSF, we already described
it's a combination of NASA assets
and the Vera Rubin Observatory in Chile
that combined along with, I would say,
some substantial AI analysis down to the pixel level
will ensure that we don't go the way of the dinosaurs,
which my understanding planetary protection
holds very well now.
Not to mention whether, as I mentioned,
the first nuclear powered interplanetary spaceship,
which should be the first of many,
as we inevitably pivot to what I hope to be
the nuclear NASA requires extensive collaboration
with the Department of Energy.
And for sure, as we inevitably at NASA move out
across the last great frontier
into the ultimate high ground of space,
we would not be able to do so without our colleagues
at the Department of War, which when you think about
whether it's communication, observation,
many things that are critically enabling
to NASA's mission, certainly space domain awareness,
even specks of paint at orbital velocities
are very damaging to our mission.
That collaboration with DOW is certainly applicable.
So not just the AI technology itself
and how we're economically contributing to it,
but the unique expertise from all the various agencies
comes together in this whole government effort
and it's extremely enabling.
Amazing.
So I know we started just a few minutes late.
I just want to get off one last quick fire question
to everyone on the panel,
and maybe starting with you, Administrator Isaacman,
and then working our way back.
For so many of the folks in the room here,
whether you've been funded by government in industry
and academia from philanthropy,
where you're looking to co-fund challenges,
what is just in a few very quick words,
what should folks outside of government
be most looking forward to or excited about
your agency's participation in Genesis
and how that kind of relationship
in public-private partnerships can look moving forward?
Sure.
So I think actually a great example of it,
and it is a philanthropic effort.
Eric Schmidt, for example,
has made a very sizable contribution to planetary sciences,
undertaking multiple projects right now
between telescopes and actually a Mars mission
that's on the horizon and potentially
even in the 2028 window.
It's an example where NASA can provide
some of the subject matter expertise
to help with, it's actually an example of NASA
being what I consider a force multiplier for science,
but that's just the start.
So we can help them get the hardware
and get it into the environment to conduct its science,
but now to be able to, again,
all the data that it's gonna collect,
which will be well in excess of what any human
can be able to analyze reasonably,
be able to tap into the same platform
that we're gonna use to analyze Nancy Grace Roman,
for example, or any of the other great exploration assets.
So good example for a public-private partnership
that's helping us pursue the secrets of the universe.
I would say that besides the
Genesis Mission Consortium itself,
we've consolidated our innovation ecosystem
at the Department of War,
so we have the Defense Innovation Unit,
we have our Chief Digital and AI Office,
we have our Biotech Office,
and all of these now are in a place
that we've tried to make user-friendly
and instead of going through a normal contracting process,
we've created these commercial solution openings,
a normal contract that a normal organization
or normal person can actually get through with speed.
And so those are the places to find opportunities
at the Department of War
that are linked into the Genesis Mission.
We're out there promoting them and talking about them
and making sure our leaders are out
at the places you all are at
so that we can talk about the next challenge
and we're gonna be announcing all these challenges
and saying, hey, we're open for business
and here's the things we're looking at doing,
so keep an eye out for those things.
Yeah, we can't do it without partnership.
I mentioned the National AI Research Resource,
that has like 34, 39 corporate industry sponsors,
philanthropies.
We need industry and philanthropies
to work with us to do this, all of us do.
The programmable cloud labs I mentioned,
that's gonna be synergized by a contribution
from the Astara Institute.
So all of these activities that we're gonna do
are gonna require partnerships.
The piece where I think we're gonna get the most leverage
is as we start to do this,
you'll get state and local authorities
that will be excited about things
that are happening in their states
and they will start to kind of pile in resources.
I think we'll see some of,
some of you know we have a regional innovation
and engines program at NSF.
We just announced 12 of those last week,
two of them around critical minerals
and a host of other topics,
many of which are probably going to start connecting
with Genesis mission activities.
We put in about $150 million
and unlocked almost $2 billion worth of additional resources.
So that's the kind of thing that we're all gonna need to do
to be able to meet the needs of the broader community
through the Genesis mission.
I think it's completely possible
and it's just a matter of building that momentum.
The other piece is we don't wanna be sustaining these things
from the federal dollar forever.
So we wanna get them lit,
we wanna get them performing
and then we wanna move on
and start working on the next challenge.
At the NIH we have 27 different institutes and centers.
Every single institute and center
is all in on the Genesis challenge.
So what you're gonna start to see is highlighted topics
where people are going to be encouraged to apply
for items related to Project Genesis.
You're gonna have opportunities for,
especially for early career researchers in the audience
and for small businesses,
there are going to be opportunities
to participate in the research efforts.
And all of the NIH is going to be part of the mission.
We're gonna be very public about these opportunities
as they come out and go forward
because we don't just want this to sit
in the traditional five universities
or wherever they normally would sit and go slow.
We wanna go fast on each and every one of these.
And that's gonna involve bringing in new researchers,
private industry, all to participate
in this amazing research mission.
Amazing.
Well, thank you all for your partnership.
We're excited to have you as part of the Genesis mission.
We look forward to collaborating with you all
and the Department of Energy
on this expanded set of S&T challenges
as we work to usher in a new era
of AI-enabled scientific discovery.
So thank you all very much.
