
Establishing a linked analysis foundation for heterogeneous data and advancing analytical models to respond to global R&D environment changes and support the establishment of national R&D innovation strategies.

Developing an AI-based public R&D value creation model and system for activating the national R&D value creation ecosystem.

Promoting the activation of the industry-academia-research-government innovation ecosystem, digital innovation of SMEs and regional R&D, while establishing a system supporting the application of demand-driven AI solutions to enhance the digital competitiveness of the local industrial ecosystem.

Developing an AI-collaboration-based demand-driven future analysis and foresight system to support the innovative discovery of science and technology and the resolution of global social issues.

Fostering data science professionals and future talents from industry, academia, research institutes, and government through the development and operation of supercomputing, data, and AI training programs.

Advancing data-based analysis services for national R&D information reproduction and user experience improvement, and supporting efficient services for the dissemination of outcomes through technology transfer and commercialization.

Developing open XR collaboration platforms and validating immersive services to provide seamless, multi-device interaction and a sense of social presence, thereby enhancing remote collaboration efficiency.