| Project/Area Number |
24K16438
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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 07080:Business administration-related
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| Research Institution | The University of Tokyo |
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Principal Investigator |
MEJIA CRISTIAN 東京大学, 未来ビジョン研究センター, 特任助教 (90907213)
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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 |
¥3,250,000 (Direct Cost: ¥2,500,000、Indirect Cost: ¥750,000)
Fiscal Year 2025: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2024: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Keywords | science policy / emerging research fronts / NLP / social attention / bibliometrics |
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| Outline of Research at the Start |
This project aims to create indicators to measure the divide between emerging science and public opinion. This indicator can be used to reduce public resistance to newly introduced science policies. Here, news data is analyzed to understand the public perception of a variety of scientific topics, including climate change, sustainable supply chains, and AI. Then, we identify those topics that are seen positively or negatively by society and analyze the related scientific policies to offer policy guidance that reduces public resistance.
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