◆Information on Regular Admission◆
 Information sessions are scheduled for April 26 and May 25.

Faculty

Faculty member

鳥海 不二夫

Socioeconomic System

TORIUMI Fujio

Position
Prof.
Affiliation
Department of Systems Innovation,Faculty of Engineering,The University of Tokyo
Keyword
computational social sciences, artificial intelligence, data mining, agent-based simulation, social media, social data analysis, complex networks
HP
http://syrinx.q.t.u-tokyo.ac.jp/tori/
E-mail
tori(at)sys.t.u-tokyo.ac.jp※Please replace (at) with @ and send mail.

Social Analysis, Modeling, and Design

Social Analysis, Modeling, and Design

Social Analysis, Modeling, and Design

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Social Data Analysis

With the development of an advanced information society, now we have a huge amount of social data and technologies to analyze large scale data. The aims of this theme are to reveal the essential properties of humanA society, by using data mining, statistical methods, and artificial intelligence technologies for large-scale social data. The targets of analysis are a variety of social data, including web services, social media, communication games, C2C markets, and mobility data.

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Social Simulation

Designing a new society by reproducing the society in a computer and understanding its characteristics through simulation. The aims of this theme are to design a better society by simulating social phenomena generated by the interaction between people using agent-based models.

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Artificial Intelligence in Society

Artificial intelligence technology has developed and is expected to be applied to various fields, such as the IT industry such as the web, medical care, agriculture, finance, etc. Therefore, we aim to apply artificial intelligence technology in collaboration with researchers and practitioners in various fields such as social science, medicine, and agriculture.

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Faculty member

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