This report summarizes opinions compiled by the Research Environment Infrastructure Committee of the Council for Science and Technology Policy on July 1, 2025, regarding innovation in scientific research appropriate for the AI era and the development of large-scale integrated research infrastructure.
With the rapid development of AI technology, the nature of scientific research itself is undergoing major transformation. Under concepts such as "AI for Science" and "AI in Science," AI-based research methods are being introduced across various scientific fields, with expectations for accelerated research productivity and solutions to complex scientific problems previously impossible. The application of AI is particularly notable in fields such as biological sciences, materials science, drug discovery, and climate science.
This report makes recommendations on developing the large-scale integrated research infrastructure needed to promote AI-era scientific research. Key elements include building research infrastructure enabling large-scale data collection, storage, and analysis; developing high-performance computing resources; and establishing mechanisms to promote research data sharing and utilization. The report also mentions the need for human resource development to effectively utilize these infrastructures and creating environments that promote interdisciplinary fusion research.
Furthermore, to maintain and strengthen international competitiveness, the report calls for building research infrastructure leveraging Japan's unique strengths while referencing similar initiatives in Europe, the United States, China, and other countries. There is particular urgency to develop innovative AI-based research methods and supporting large-scale research infrastructure in materials science and life sciences, where Japan has traditional strengths.
The article indicates that realizing innovation in AI-era scientific research requires a comprehensive approach encompassing not only technical infrastructure development but also research system transformation, human resource development, and international collaboration.