Published on 22 Nov 2024

Advancing Knowledge Through Open Research Practices: CCDS Researchers Recognised in National Awards

 

The College of Computing and Data Science (CCDS) warmly congratulates our researchers for their achievements at the recent Singapore Open Research Awards 2024.

Photo of a group of researchers at the entrance of S-lab.WINNER: S-Lab for Advanced Intelligence, led by Professor Loy Chen Change 

Photo of a group of researchers at the entrance of a college.SPECIAL MENTION: LiuTeam@NTU, led by Associate Professor Liu Weichen

The winning team, S-Lab for Advanced Intelligence, led by Professor Loy Chen Change advances transparency, reproducibility, and collaboration within the scientific community by sharing data, demos, and codes on multiple discoverable platforms including GitHub and OpenMMLab.

The team believes that such open dissemination fosters innovation, accelerates discovery, and promotes inclusivity. This, in turn, will contribute to the collective progress of science.

The S-Lab is also actively promoting a dynamic AI ecosystem in Singapore. To date, they have engaged with over 100 schools, 30 organisations, including seven government agencies, and close to 400 working professionals through events like seminars, workshops, and bootcamps.

More information:

  • S-Lab for Advanced Intelligence
  • LiuTeam@NTU

“This recognition is a testament to the collective hard work and vision of our research team and management team. It inspires us to continue pushing the boundaries of open science and to contribute meaningfully to the global research community,” said Professor Loy of their win.

The LiuTeam@NTU, led by Associate Professor Liu Weichen shares the same philosophy of advancing knowledge through such research practices. The team also advocates for the wider adoption of these principles to accelerate scientific discovery, enhance research integrity, and foster inter-disciplinary collaboration.

 

The team believes that providing open access to detailed code documentation which includes contextual information can facilitate reproducibility and reusability.

CCDS wishes both teams all the very best as they continue their good work!