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Sakata-Mori-Asatani-Nishimoto Lab
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The lab uses AI and data to uncover how science, society, and management work.
AboutAbout the lab
A new frontier in management of technology through data science
The Sakata-Mori-Asatani Lab uses AI and data science methods to study phenomena related to management, society, and science and technology.
The lab works with a wide range of data, including big data from academic papers, social media, corporate transaction records, and review texts.
Centered on machine learning, natural language processing, and network analysis, the lab also works on analyzing generative AI (large language models).
Students choose their own research topics and the faculty focus on supporting them, so the topics in the lab are highly diverse.
Key terms
- Natural Language Processing
- Technology for processing and analyzing the language people use every day, such as text and conversation, with computers
- Network Analysis
- A method that represents people, papers, companies, and the like as nodes and their connections as edges, in order to examine the structure of relationships
- Large Language Model (LLM)
- An AI model trained on large amounts of text that can understand and generate text
- Science of Science
- A research field that uses data such as papers and patents to analyze scientific research itself in a scientific way
NewsLab news
Research on how papers are cited in policy documents of international organizations was published in PNAS; a press release is available
Research by master's students and others was accepted at the international conference ICML 2026
A doctoral student won the VC Award at a startup pitch event hosted by NEDO
A doctoral student received the Department Chair Award from the Department of Technology Management for Innovation
Master's students and others won an Excellence Award at the Annual Meeting of the Association for Natural Language Processing
ResearchResearch themes
The lab aims to systematically understand phenomena related to management, society, and science and technology through data science, and to generate new insights. Centered on machine learning and deep learning, natural language processing, and network analysis, it also conducts fundamental research on the methods themselves.
*Illustrative imageScience of Science
Using data from scientific papers, patents, and corporate activities, the lab mathematically analyzes how knowledge and technology emerge and spread through society. It also examines social factors such as diversity and gender.
*Illustrative imageComputational Social Science
The lab mathematically analyzes human behavior in cities and interactions on social media using data. Its research draws on Google Maps and Twitter data, as well as information on corporate networks and patents.
*Illustrative imageNatural Language Processing
The lab investigates how language models acquire the ability to answer questions and reason beyond what they have learned. It also explores ways to improve transparency, safety, and efficiency, as well as frameworks for using LLMs as agents.
MembersFaculty
The members of the Sakata-Mori-Asatani Lab include faculty, visiting researchers, collaborators, doctoral, master's, and undergraduate students, graduate research students, cooperating researchers, and academic specialists.As of 2026
- ProfessorIchiro SakataPublications ↗
- ProfessorJunichiro Mori
- Project Associate ProfessorKimitaka AsataniPublications ↗
VoicesStudent voices
Compiled from answers by students who were in the lab. Ratings and reviews reflect individual students' experiences, not the lab's official views.
Students who take part in an interview may receive a thank-you gift worth ¥1,000, regardless of what they say.
On a 4-point scale, ● marks where students' answers fall
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Social Network Visualization” Martin Grandjean / CC BY-SA 4.0 (cropped)
- Science of Science: “Goldenberg Periodical Library IMG 8859” Deror_avi / CC BY-SA 4.0 (cropped)
- Computational Social Science: “Network Visualization” Martin Grandjean / CC BY-SA 4.0 (cropped)
- Natural Language Processing: “Absolute positional encoding” Nils Blümer / CC BY 4.0 (cropped)
- Related lab (Tanaka Lab): “Electricity pylons at sunset in Quebec City” Wilfredor / CC0 (cropped)
- Related lab (Hara Lab): “Cityscape of Tokyo, view from Tokyo Skytree ( by Takeishiwataru @Pixabay 1272392)” Takeishiwataru / CC0 (cropped)
- Related lab (Goda Lab): “Dice ( )” Daniel Dionne / CC BY-SA 2.0 (cropped)
- Related lab (Toriumi Lab): “Social Network Visualization” Martin Grandjean / CC BY-SA 4.0 (cropped)
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