Labs in University of Tsukuba, College of Information Science, School of Informatics, College of Knowledge and Library Sciences

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The lab studies anti-spam techniques, Linked Data, and infrastructure for sharing information.

The Sakaguchi Lab studies anti-spam techniques, technologies for using the next-generation Internet, and systems that support the accumulation and sharing of information. There are more and more ways to publish and obtain information on the Internet, but the lab is motivated by the concern that these means are not yet being fully used. For this reason, the lab aims to develop technologies that let people store and share information with ease. In the graduate school's faculty introduction, the listed research themes are development support for Linked Data, foundational technologies and applications of crowdsourcing, and the technical infrastructure for sharing and transmitting information.

#Spam countermeasures #Linked Data #Crowdsourcing

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The lab is a library and information science lab that studies how information is organized, searched, and explored.

The Takaku Lab studies information systems that connect the information users seek with documents, and the behavior of people searching for information. The lab also works on structuring knowledge information and building data models, using Semantic Web and knowledge graph technologies. In recent years, it has also studied information systems for metadata based on Linked Open Data, and how scholarly information is circulated. The lab belongs to the College of Knowledge and Library Sciences and, at the graduate level, the Degree Programs in Informatics.

#Information retrieval #Information-seeking behavior #Linked Open Data

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The lab is an economics of education lab that analyzes education policy using causal inference and machine learning.

The Economics of Education Lab (Takeshi Yanagiura) studies important issues in education policy, in Japan and abroad, within the framework of the economics of education. The lab is interested in research that uses causal inference methods and machine learning to contribute to evidence-based discussion of education policy. Its main focus is higher education, and in recent years its interest has widened to primary and secondary education as well. The listed research themes also include student risk prediction, fair algorithms, and Institutional Research.

#Economics of education #Causal inference #Machine learning

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The lab studies how to understand human behavior from data and support changing it for the better.

Yamamoto Lab studies data on human behavior and decision-making observed on the web and in the real world. Drawing on insights from behavioral economics and other fields, the lab uncovers the mechanisms behind behavior, models them with machine learning, and develops technologies and methodologies that change behavior for the better. A distinguishing feature of the lab is that it handles the whole sequence from uncovering the mechanisms of behavior to modeling, behavior change, and support. The lab accepts students through the College of Knowledge and Library Sciences at the undergraduate level and the Degree Programs in Informatics at the graduate level.

#Behavioral economics #Multimodal #Behavior change

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The lab calculates the behavior of electrons in magnetic materials and also works on information visualization.

Tokii Lab studies the behavior of electrons through theoretical calculations in order to understand the properties of magnetic materials. Magnetic materials are used in recording media that store various kinds of data such as text, numbers, images, and sound, as well as in components of devices. Research themes listed for the lab include computational physics and computer simulation, as well as information visualization and digital humanities.

#Computational physics #Magnetic materials #Information visualization

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The lab studies human-in-the-loop machine learning as well as graph and time-series data analysis.

Assistant Professor Hiroyoshi Ito of the Fusion Intelligence Design Lab works on human-in-the-loop machine learning, graph data mining, and time-series data analysis. Ito is one of the translators of Human-in-the-Loop Machine Learning: Active Learning and Annotation for Human-Centered AI. Ito's publications include papers on crowdsourcing and future prediction for social networks.

#Human-in-the-loop machine learning #Graph data mining #Time series data analysis

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The lab explores how to use computers and multimedia in education.

Osawa Lab studies how computers and multimedia can be used in educational settings. Some time has passed since the subject "Information" was introduced in high schools, and the way computers and multimedia are used in educational settings is changing. Exploring ways of using them that suit the times is the lab's main research theme.

#Use of multimedia in education #Use of computers in education #e-Learning

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会議科学（陳 映廷） (introduction coming soon)

Meeting science, teamwork, facilitation, complex problem solving, team cognition, analysis of collaboration, and intervention design: cognitive facilitation in teams engaged in complex problem solving; self-facilitation, in which members themselves coordinate the process and stimulate discussion, and how it improves meeting quality and creative collaboration; effects of thinking styles, trust, and task complexity on team dynamics, analyzed through empirical approaches and tool design; development and evaluation of analog and digital support tools (e.g., in-meeting visualization tools) to build support technologies and theoretical insights applicable to real-world teams

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The lab explores search systems that connect people and knowledge, from information seeking to picture book recommendation.

The Web Information Systems Lab studies methods for discovering and organizing knowledge from a wide range of information, such as the Web, literature, and manuals. The lab also analyzes what people need in what situation, for example whether they want the answer to a problem or want to learn from related information. It aims to realize knowledge and information retrieval systems that connect what people want to know with what the world knows. Its research themes also include interfaces for information seeking and picture book recommendation.

#Web information systems #Information seeking #Picture book recommendation

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The lab uses machine learning to create information retrieval algorithms.

The Knowledge Acquisition System Lab (KASYS, the Kato-Pham Lab) conducts research on information retrieval. Its main research areas include retrieval models and ranking, learning to rank, search intent estimation, and recommender systems. The lab often conducts research that uses large language models and machine learning to create high-performing algorithms. As of 2026, the lab is based at the University of Tsukuba and the National Institute of Informatics, and belongs to the University of Tsukuba Information Retrieval Research Group.

#Information retrieval #Learning to rank #Recommender systems