| Project/Area Number |
24K20940
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| Research Category |
Grant-in-Aid for Early-Career Scientists
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| Allocation Type | Multi-year Fund |
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| Review Section |
Basic Section 63040:Environmental impact assessment-related
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| Research Institution | Okinawa Institute of Science and Technology Graduate University |
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Principal Investigator |
PHAN Samantha 沖縄科学技術大学院大学, パイ共役ポリマーユニット, ポストドクトラルスカラー (10974214)
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| Project Period (FY) |
2024-04-01 – 2026-03-31
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| Project Status |
Granted (Fiscal Year 2024)
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| Budget Amount *help |
¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
Fiscal Year 2025: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2024: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
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| Keywords | microplastic / pollution / machine learning / marine microplastic / plastic |
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| Outline of Research at the Start |
Currently there is no standardized method for characterizing microplastics, a critical step in microplastic analysis studies. The purpose of this study is to develop an automated machine-learning tool to characterize microplastics and assess the accumulation patterns of microplastics around Japan.
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