Contemporary society relies heavily upon the massive amount of information connected to each other via the Internet. Social progress will depend upon the establishment and continuous revision of technologies to enable the rapid and accurate transmission of data, and technologies to allow a quick search of the massive volume of data to retrieve required information in a timely manner. For this reason, we will conduct fundamental research on database, multimedia information systems, web/SNS data mining, and information retrieval and recommendation. We also conduct application-oriented research such as sightseeing informatics, investment informatics, and informational nutrition (information access) in cooperation with domain experts.

New Members!

Four students (First Generation) Joined!

Social Intelligence and Informatics Lab Starts on April 1, 2023

April 1, 2023, the Social Intelligence and Informatics Laboratory (Ma Laboratory) starts!

Join us!

Visiting is always welcome. If you are interested, please contact inquiry@soc.is.kit.ac.jp).

If you are interested in joining our master's or doctoral program or becoming a research student, please get in touch with us.

News & Information

  • Paper Accepted
    Inoue's paper was accepted to ADMA2026. Shion Inoue and Qiang Ma: "Improving Questioning Skills with Multi-LLM Agents," ADMA2026.
  • Award
    Fukuda (M2) and Hirozawa (M2), members of the laboratory, received a graduate program award.
  • 論文採択
    The following paper has been accepted. Yun Liu, Xin Liu, Yijun Duan, Ziqiang Li, Ryutaro Ichise, Akiyoshi Matono, Qiang Ma:Cross-modal hyperedge alignment for knowledge graph augmented recommendation, Knowledge-Based Systems, 2026, 116491, ISSN 0950-7051, https://doi.org/10.1016/j.knosys.2026.116491.
  • Paper Acceptance GET
    The following paper has been accepted by GET 2026. GET2026.https://www.gaming-conf.org/ Yunosuke Tsunoda , Kosei Nakazono , Qiang Ma ,PLAYER IMITATION FOR DIFFICULTY CONTROL IN LLM-AGENT-BASED CONVERSATIONAL GAMES
  • Paper Acceptance
    The following paper has been accepted. Yang Zhang, Qiang Ma,On-the-fly” citation recommendation based on content-dependent embeddings, in Knowledge-Based Systems,https://doi.org/10.1016/j.knosys.2026.116052