| Co-Investigator(Kenkyū-buntansha) |
佐藤 正弘 東北大学, 国際文化研究科, 准教授 (60622214)
関根 仁博 京都大学, 経済研究所, 特定教授 (10811888)
鎗目 雅 東京大学, 大学院公共政策学連携研究部・教育部, 客員准教授 (30343106)
太田 塁 横浜市立大学, 国際商学部, 教授 (00338229)
本領 崇一 同志社大学, 経済学部, 准教授 (40835667)
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| Budget Amount *help |
¥49,140,000 (Direct Cost: ¥37,800,000、Indirect Cost: ¥11,340,000)
Fiscal Year 2020: ¥7,150,000 (Direct Cost: ¥5,500,000、Indirect Cost: ¥1,650,000)
Fiscal Year 2019: ¥7,150,000 (Direct Cost: ¥5,500,000、Indirect Cost: ¥1,650,000)
Fiscal Year 2018: ¥7,150,000 (Direct Cost: ¥5,500,000、Indirect Cost: ¥1,650,000)
Fiscal Year 2017: ¥8,840,000 (Direct Cost: ¥6,800,000、Indirect Cost: ¥2,040,000)
Fiscal Year 2016: ¥18,850,000 (Direct Cost: ¥14,500,000、Indirect Cost: ¥4,350,000)
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| Outline of Final Research Achievements |
This project is to investigate the use of large-scale data, which has been made available by the IT revolution. By using consumption bigdata and newspaper bigdata, we have revealed that people who face COVID-19 pandemic or health-hazardous product defects take self-protective actions by learning from socially available information. We have characterized the recent information manipulations by the use of bigdata and characterized an ecosystem in which bigdata is utilized in a healthy manner by means of the blockchain technology. Facing the COVID-19 pandemic, moreover, we have built data on behavior change and added to the high-dimensional genome cohort date, in which the principal investigator has been involved.
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