Yonsei DataLab
![logo/datalab_logo.jpg](/assets/img/logo/datalab_logo.jpg?a81c7a22c6be20a1b58d43c3a4ca0515)
Data science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data.
DataLab at Yonsei University pursues data-driven research in the areas of science of science, health informatics, and suicidology. We have been applying data science technologies to data from various domains such as publications, healthcare, social media, and data in various forms including but not limited to relational data, text data, graph data, and electronic health records data.
![Health Informatics](/assets/img/research/scisci.png)
![Science of Science](/assets/img/research/hinfo.jpg)
![Suicidology](/assets/img/research/suicide.jpg)
Science of Science (left), Health Informatics (center), Suicidology (right)
news
Sep 1, 2024 | Qiming Chen from Zhejiang University joined DataLab as a visiting scholar. |
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Mar 1, 2024 | Nareum Kim joined DataLab as a doctoral student. |
Mar 1, 2024 | Jeongyeon Choi joined DataLab as a 학부-대학원 연계과정 student. |
Feb 1, 2024 | Donghun Kim awarded 2023 Yonsei Young Researcher Fellowship. |
Jan 1, 2024 | Dong Xia from Chinese Academy of Sciences joined DataLab as a visiting scholar. |