← LeaderboardsInvestigatorsiAttributed = a PI's even-split share of each grant — a $1M grant with 2 PIs counts $500K each.
Carr Astronautics Corp
$1,788,616
Total funding
2
Grants
Funding over time
peak $982.1K · FY2020–22$1M$750K$500K$250K$0
'20
'21
'22
Funding mix
By agency
NASA$1,788,616 · 2
By mechanism
—$1,788,616 · 2
Investigators at Carr Astronautics Corp
InvestigatorsiAttributed = a PI's even-split share of each grant — a $1M grant with 2 PIs counts $500K each.
Exposure= the full size of every grant they're on ($1M each).
Rising Stars
First grant in the last 5 yrs
Not enough data
Emerging Leaders
6–10 yrs in
Not enough data
All-Time
Most funded here, all years
Not enough data
Largest grants
EDGE INTELLIGENCE FOR HYPERSPECTRAL APPLICATIONS IN EARTH SCIENCE FOR NEW OBSERVING SYSTEMS$982,139
· FY2022 · National Aeronautics and Space Administration
WE PROPOSE A TWO-YEAR INVESTIGATION TO DEMONSTRATE HIGHER-LEVEL ONBOARD SCIENCE DATA PROCESSING FOR MORE INTELLIGENT SMALLSATS AND CUBESATS TO ENABLE FUTURE EARTH SCIENCE MISSIONS AND EARTH OBSERVING CONSTELLATIONS. LOW-COST SMALLSAT ARCHITECTURES WITH LIMITED NUMBERS OF GROUND STATIONS GENERALLY SUFFER FROM DOWNLINK BOTTLENECKS THAT PRESENT IMPEDIMENTS TO DELIVERING LARGE VOLUMES OF DATA TO SCIENCE ALGORITHMS IMPLEMENTED ON THE GROUND AND GENERATING TIMELY SCIENCE OR OPERATIONAL PRODUCTS. WHEN DATA COMPRESSION AND PLAYBACK CANNOT PROVIDE A COMPLETE SOLUTION DATA ACQUISITIONS PER ORBIT MUST BE SACRIFICED. THIS IS HIGHLY UNDESIRABLE FOR WEATHER AND CLIMATE OBJECTIVES THAT REQUIRE GLOBAL-SCALE OBSERVATIONS. OUR APPROACH TO RESOLVING THIS BOTTLENECK IS TO DISAGGREGATE SCIENCE DATA PROCESSING AND EMBED SCIENCE ALGORITHMS ONBOARD.$806,476
· FY2020 · National Aeronautics and Space Administration