Congratulations to the recipients of the Singapore Open Research Awards 2024.
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S-Lab for Advanced Intelligence Principal Investigator: Professor Loy Chen Change
S-Lab for Advanced Intelligence (S-Lab) is committed to advancing transparency, reproducibility, and collaboration within the scientific community. By sharing data, demos, and codes on publicly discoverable platforms such as DR-NTU (Data), OpenMMLab, OpenXLab, GitHub, and Hugging Face, we make our codes and datasets open and reusable. We believe that by making open data and code FAIR - Findable, Accessible, Interoperable, and Reusable, they can be scrutinised, and reused by fellow researchers and practitioners. This open dissemination fosters innovation, accelerates discovery, and promotes inclusivity by enabling others to build upon and extend the work, ultimately contributing to the collective progress of science. Click here to view our Open Research Use Cases & Highlights. |
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Open Research for Robustifying Data-centric Systems Principal Investigator: Assistant Professor Manuel Rigger
The NUS TEST lab has actively promoted and conducted open research in programming languages and software engineering. We provide publicly available artifacts for all our research projects, chair or participate in artifact-evaluation processes, and actively engage with companies and researchers based on our open-source tools. One focus area is increasing the reliability of data-centric systems. We have developed impactful tools such as SQLancer, in which we have realised multiple novel approaches, which allowed us to find and report close to 1,000 unique bugs in important database systems, allowing developers to fix them. SQLancer is highly popular on GitHub and is actively being used by companies and built upon by us and other researchers. Click here to view our Open Research Use Cases & Highlights. |
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The Small World of Singlish Words: Principal Investigator: Assistant Professor Cynthia S. Q. Siew
Motivated by the lack of representation of non-dominant English dialects in existing psycholinguistic word norms, our project aims to create a database of semantic, affective, and word association norms for Singapore English words. Our research lab prioritises making all of our collected datasets and analysis scripts openly available through online repositories, such as Open Science Framework (OSF), ensuring reproducibility and reusability of research findings. This approach facilitates the creation of culturally relevant AI and computational models for linguistic analysis of Singaporean text. By embracing open science practices and promoting citizen science initiatives, our work contributes significantly to advancing cross-cultural psycholinguistic research and promoting open science principles within the social sciences. Click here to view our Open Research Use Cases & Highlights. |
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Associate Professor Guillaume Thibault
As a strong advocate for open research, my motivation stems from the belief that transparency and accessibility are fundamental to advancing biological sciences. By making all data, methods, and code related to my research publicly available, I ensure that my work is reproducible, reusable, and accessible to the global research community. While these practices may take additional time, they are essential for ensuring the integrity and long-term value of my findings. My laboratory adheres to the FAIR principles — Findable, Accessible, Interoperable, and Reusable — through open repositories like DR-NTU (Data) and platforms like Protocols.io for method documentation. This approach enhances collaboration and accelerates discovery, contributing to impactful advancements in health and disease research. Click here to view our Open Research Use Cases & Highlights. |
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LiuTeam@NTU Principal Investigator: Associate Professor Liu Weichen
Our commitment to transparency, reproducibility, and accessibility is deeply ingrained in our research practices and extends to our engagement with the broader research community. Through the open sharing of data, code, software, and methods, we strive to accelerate scientific discovery, enhance research integrity, and foster collaboration across disciplines. As a team at NTU, we are proud of our contributions to open research and believe that our efforts have had a positive impact on the research community. We are committed to continuing our open practices and advocating for the wider adoption of open research principles. Click here to view our Open Research Use Cases & Highlights. |
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Associate Professor Miguel Escobar Varela
In the emerging field of computational analysis of intangible cultural heritage, open research practices are indispensable. As computational methods increasingly shape research in the humanities, sharing code and data becomes essential for building upon previous findings and ensuring reproducibility. My work exemplifies this commitment to open research. "Theater as Data" (University of Michigan Press, 2021), published as an Open Access monograph, stands as one of the first comprehensive studies exploring the application of computational methods for historical and comparative studies of the performing arts. The accompanying code and data are freely accessible on the publisher's website, facilitating further research, using these materials in teaching, and validation of results. Beyond this book, I consistently share code, data, and machine learning models on platforms like GitHub and Hugging Face for other projects. This approach not only promotes transparency but also fosters collaboration and accelerates progress in our discipline. By making research outputs openly available, we contribute to a more robust and interconnected scholarly ecosystem, ultimately advancing our understanding of intangible cultural heritage through computational lenses. Click here to view our Open Research Use Cases & Highlights. |
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