Towards Objective Science: Automated Detection and Mitigation of Hype in Biomedical Research

Research Project

Project/Area Number	25K00851
Research Category	Grant-in-Aid for Scientific Research (B)
Allocation Type	Multi-year Fund
Section	一般
Review Section	Basic Section 09080:Science education-related
Research Institution	University of Tsukuba
Principal Investigator	Millar Neil 筑波大学, システム情報系, 准教授 (70751981)
Co-Investigator(Kenkyū-buntansha)	Batalo Bojan 国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 産総研特別研究員 (51012281) KidoShimomoto Erica 国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 研究員 (21012527) 大庭良介筑波大学, 教育推進部, 教授 (30447883)
Project Period (FY)	2025-04-01 – 2029-03-31
Project Status	Granted (Fiscal Year 2025)
Budget Amount *help	¥18,720,000 (Direct Cost: ¥14,400,000、Indirect Cost: ¥4,320,000) Fiscal Year 2028: ¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000) Fiscal Year 2027: ¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000) Fiscal Year 2026: ¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000) Fiscal Year 2025: ¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Keywords	NLP / machine learning / science communication / research ethics / evaluative language
Outline of Research at the Start	This project develops an AI-based tool to identify and reduce overly promotional language in biomedical writing. By detecting terms like “groundbreaking” or “unparalleled,” the system aims to support more objective science communication and improve trust in research.