The Department of Data Science is proud to announce that Prof. Qing KE and Prof. Jiaman WU have both been awarded research grants under the National Natural Science Foundation of China (NSFC) for their innovative research projects.
The table below highlights the details of their awarded projects:
| Professor | Grant Scheme | Project Title | Research Summary |
|---|---|---|---|
| Prof. Qing KE | NSFC General Programme Grant | Early identification of scientific innovation and dynamic science planning via time-aligned scientific language models | Aims to advance the understanding of scientific evolution using innovative language-model-based approaches. It investigates early identification of disruptive scientific concepts and shifting development patterns to provide insights for strategic research planning. |
| Prof. Jiaman WU | NSFC Young Scientists Fund | Low-Carbon Energy Technology Adoption on Complex Networks: Diffusion Dynamics Modeling and Intervention Mechanism Design | Focuses on modeling the diffusion dynamics of low-carbon energy technologies on complex networks and designing effective intervention mechanisms to accelerate sustainable technology adoption. |
The NSFC supports researchers in conducting innovative basic research and promoting original ideas across scientific disciplines. These newly approved projects reflect the continued research excellence and growing impact of both Prof. KE and Prof. WU in data science, network modeling, and AI applications.
Once again, congratulations to Prof. Qing KE and Prof. Jiaman WU on their significant achievements!