Sbir phase i: operational seasonal forecasting of environmental data using machine learning and statistical methods
Ended Project Grant Awarded Last action
- Award ID
- 2042853
- Recipient
-
Benchmark Labs, Inc. UEI YDJRNQJMHTP3
- Awarding agency
-
Division of Industrial Innovation
National Science Foundation
- Obligated
- $256,000
Award facts
- Assistance listing
- 47.041 Engineering
- Completion date
- Place of performance
- San Diego, CA 92122, USA
Award details come from USAspending.gov.
About this award
The National Science Foundation Division of Industrial Innovation awarded Benchmark Labs, Inc. a $256,000 Project Grant under the Engineering (47.041) federal grant program. The grant funded operational seasonal forecasting of environmental data using machine learning and statistical methods from May 2021 through January 2022. Benchmark Labs utilized machine learning and statistical analysis to develop operational seasonal forecasts of environmental data to improve prediction of conditions. The funding supported Benchmark's work to advance seasonal forecasting technology, in line with the NSF Engineering program's goals of fostering innovation in engineering research.
Quick answers
Who received award 2042853?
2042853 was awarded to Benchmark Labs, Inc. by Division of Industrial Innovation (National Science Foundation) on May 1, 2021.
How much is award 2042853 worth?
$256,000 has been obligated on 2042853.
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