| Project/Area Number |
23K22068
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| Project/Area Number (Other) |
22H00796 (2022-2023)
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Multi-year Fund (2024)
Single-year Grants (2022-2023) |
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| Section | 一般 |
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| Review Section |
Basic Section 05060:Civil law-related
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| Research Institution | Waseda University |
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Principal Investigator |
Rademacher C 早稲田大学, 法学学術院, 教授 (30609772)
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| Co-Investigator(Kenkyū-buntansha) |
上野 達弘 早稲田大学, 法学学術院(法務研究科・法務教育研究センター), 教授 (80338574)
高林 龍 早稲田大学, 法学学術院, 名誉教授 (90277765)
鈴木 將文 早稲田大学, 法学学術院, 教授(任期付) (90345835)
GLOWER・CARAPETO ROBERTO 名古屋大学, 法学研究科, 講師 (90882366)
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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 |
¥13,910,000 (Direct Cost: ¥10,700,000、Indirect Cost: ¥3,210,000)
Fiscal Year 2025: ¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000)
Fiscal Year 2024: ¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
Fiscal Year 2023: ¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2022: ¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000)
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| Keywords | Data / Patent Law / SEP / Eligibility / Competition Law / Big Data / IP Law / Innovation / AI / Copyright Law / Information / Artificial Intelligence / Civil Law / Protected Data / Trade Secret |
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| Outline of Research at the Start |
Following preparatory functional comparison, the PI and the Co-Investigators have given presentations about big data protection at various international conferences / workshops and received feedback. We currently do a number of informal surveys, which will again be reflected at further conferences.
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| Outline of Annual Research Achievements |
Significant progress was made during Academic Year 2024. A major highlight was the hosting of the 14th Waseda Penn Global Patent Law Conference, which brought together leading scholars, judges, and practitioners to discuss patent disclosure, preliminary injunctions, and the impact of AI and data-driven technologies. In addition, a series of specialized workshops were organized, including lectures on "The Challenges of Regulating Open Technologies in an Increasingly Closed Digital World" and "Digitalization and Private International Law", which explored the intersections between AI, cybersecurity, and data governance. The project team also contributed to international academic exchange by delivering invited talks at Tsinghua University and the China University of Political Science and Law (CUPL), focusing on patent law and innovation governance in the AI context. Furthermore, a presentation was given at the 2025 ATRIP Mid-Year Webinar, a high-profile forum for discussing current challenges in intellectual property law. Finally, the PI wrote and submitted two book chapters for publication. Together, these activities substantially advanced the project's core aim of critically evaluating current data protection frameworks and their suitability for the AI era.
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| Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
The project is progressing smoothly; last year, we accomplished a number of milestones, and heading into the last year, plan to summarize and disseminate findings as planned.
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| Strategy for Future Research Activity |
Building on the outcomes of the current project, I plan to apply for a larger research grant to further develop the analysis of dataset protection mechanisms in the context of emerging AI technologies. The proposed project will expand the scope to examine cross-jurisdictional regulatory models and their practical implications for innovation governance. In addition, I am scheduled to present the findings of this research at a high-profile international conference jointly hosted by the National University of Singapore, Columbia Law School, and the University of Oxford in Singapore in August 2025. This presentation will provide an opportunity to disseminate the project's results to a global academic and policy-making audience and to engage in further discussions that will help shape the next stages of the research.
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