We propose new technology concepts and advancements to aid in our understanding of the effects of climate change on biodiversity. This proposal is targeted towards the current aist "operational…
Ended Grant For Research Awarded Last action
- Contract number
- 80NSSC17K0283
- Awardee
-
Massachusetts Institute Of Technology UEI E2NYLCDML6V1
- Awarding agency
-
Shared Services Center
National Aeronautics and Space Administration
- Obligated
- $1,323,284
Award facts
- Contract value 100% obligated
- $1,323,284.47 Current and potential, with all options
- Completion date 100% complete
- Current and potential, with all options
- NAICS code
- Not on record
- Set-aside
- No set-aside
- Competition
- Full and Open Competition · 0 offers Basic Research
- Pricing
- Other
- Place of performance
- Cambridge, MA 02139, USA
Award details come from SAM.gov/FPDS.
Transactions
| Action | Obligated | Date |
|---|---|---|
| Funding Only Action | -$21,849 | |
| Other Administrative Action | $0 | |
| Other Administrative Action | $0 | |
| Funding Only Action | $284,747 | |
| Funding Only Action | $285,000 | |
| Funding Only Action | $100,000 | |
| Funding Only Action | $200,000 | |
| Funding Only Action | $206,540 | |
| Funding Only Action | $100,000 | |
| Original award | $168,846 |
About this award
This federal contract is a grant awarded by the National Aeronautics and Space Administration (NASA) to the Massachusetts Institute of Technology (MIT) to develop new technology concepts and advancements to aid in understanding the effects of climate change on biodiversity. The two-year grant, valued at $1,323,284.47, seeks to (1) develop wireless in situ observation networks and associated technologies to monitor the vertical flow and distribution of water along the soil, vegetation, and atmosphere continuum, and (2) develop autonomous and event-driven network decision-making strategies based on ecohydrological understandings. The outcomes are expected to help interlink plant-level to field-level hydrological processes and support ground calibration and validation activities for current and planned NASA Earth remote sensing missions. This grant is not a set-aside contract.
Description
We propose new technology concepts and advancements to aid in our understanding of the effects of climate change on biodiversity. This proposal is targeted towards the current aist "operational technologies" core topics along with a focus on the "climate change and biodiversity" special subtopics. Specifically, this proposal seeks to (1) develop wireless in situ observations networks and associated technologies to monitor the vertical flow and distribution of water along the soil, vegetation, and atmosphere continuum, (2) develop autonomous and event-driven network decision-making strategies based on ecohydrological understandings. Outcomes of this proposal will help interlink plant-level to field-level hydrological processes. Furthermore, immediate application to and support of ground calibration and validation (CAL/VAL) activities of current and planned NASA earth remote sensing missions is expected. Certain technology heritage and key building blocks at high technology readiness levels (trls) (6-7) through prior aist support exist. However, with the inclusion of these newly proposed concepts entry level trls are ranked between 2-3 with an expected exit TRL of 4-5 after two-years (starting september 2017 and ending september 2019).
Quick answers
Who was awarded contract 80NSSC17K0283?
80NSSC17K0283 was awarded to Massachusetts Institute Of Technology by Shared Services Center (National Aeronautics and Space Administration) on September 1, 2017.
How much is contract 80NSSC17K0283 worth?
The government has obligated $1,323,284 on 80NSSC17K0283.
Was contract 80NSSC17K0283 competed?
The extent of competition for 80NSSC17K0283 was full and open competition. The government received 0 offers.
On GovTribe
See this award's full record
- Every transaction and funding action
- The awardee's other awards and teaming partners
- Similar awards and recompete opportunities
- Ask GovTribe AI about this award