RII Track-1: Climate Resilience through Multidisciplinary Big Data Learning, Prediction & — NSF Award to University of Kentucky Re
The Commonwealth of Kentucky faces mounting threats from global environmental change and natural hazards, including extreme weather events, floods, droughts, and landslides. This "Climate Resilience through Multidisciplinary Big Data Learning, Prediction & Building Response Systems" (CLIMBS) project aims to advance the
| Award title | RII Track-1: Climate Resilience through Multidisciplinary Big Data Learning, Prediction & |
|---|---|
| Award ID | 2344533 |
| Awardee | University of Kentucky Research Foundation |
| City | LEXINGTON |
| State | KY |
| Amount obligated | $12,912,881 |
| Principal investigator | Rodney Andrews |
| Program | EPSCoR RII: Track-1 |
| Start date | 07/01/2024 |
| Abstract | The Commonwealth of Kentucky faces mounting threats from global environmental change and natural hazards, including extreme weather events, floods, droughts, and landslides. This "Climate Resilience through Multidisciplinary Big Data Learning, Prediction & Building Response Systems" (CLIMBS) project aims to advance the fields of climate science, geohazards engineering, and disaster management to facilitate improved sustainability, resilience, and adaptative engineering to climate change. CLIMBS |
| Source | NSF Awards |
$799/mo
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