About
Overview of Center
Objective
Since 2019, the Tokyo Institute of Technology has been the first in Japan to implement a University-wide Education in Data Science and Artificial Intelligence. The center has expanded university-wide education and established a program to cultivate top talent, and promoted creating a location for data science and AI education for its development. The purpose of this program is to cultivate “co-creative experts” who can solve problems and provide educational guidance beyond the boundaries of specialized fields.
Framework
Under the Steering Committee of the Center of Data Science and Artificial Intelligence, which consists of members selected from Tokyo Institute of Technology's 6 schools, 3 Academies, and interdisciplinary courses, the center has set up four departments: University-wide Education Department, Social Partnership Department, Information Infrastructure and Public Relations Department, Planning and Research Department, and the Administrative Office. Through this mutual cooperation, the center operates university-wide educational programs, etc., and aims for students to acquire the basic knowledge of problem-solving skills that are universal in science and engineering fields.
Annual report
Self-check and evaluation
Greeting from the Director
The Tokyo Institute of Technology, based on the University-wide Education in Data Science and Artificial Intelligence that started in 2019 ahead of the rest of the country, has established a "co-creative expert development program" to develop top talent. In 2022, the institute established the “Center of Data Science and Artificial Intelligence” with the goal of making it an educational base for expanding to other universities.
We consider an expert someone who not only has advanced expertise and skills in data science and AI (abbreviated below as DS and AI), but is also a “co-creative experts” who can produce innovations across the boundaries of specialized fields and cultivate talent who will be responsible for the future. In other words, we aim to cultivate talent that can (1) make full use of DS and AI, (2) boost interaction across disciplines with the help of DS and AI, and (3) teach DS and AI. In addition to enhancing the first ability (theoretical basis for making full use of DS and AI) and fostering the second ability (to interact with diverse people through DS and AI), the center will also establish a program to acquire the third ability (to teach DS and AI).
In order to develop top talent with these three abilities, the Center of Data Science and Artificial Intelligence will provide systematized education at the literacy level, advanced literacy level, expert level, and expert level plus to all Tokyo Tech students in the bachelor's, master's, and doctoral programs. Future plans include a "co-creative expert development program" that makes the most of the characteristics of a comprehensive science and technology university, and can be expanded to other universities.
Yoshihiro Miyake
Management system and faculty members
Center faculty
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Yoshihiro Miyake
Director / Professor, School of Computing
Areas of specialization: Co-creation system / Communication science / Cognitive neuroscience / Human interface
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Isao Ono
Vice Director / Professor, School of Computing
Areas of specialization: Evolutionary computation / Reinforcement learning / Optimization
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Jun Sakuma
Professor, School of Computing
Areas of specialization: Machine learning / Artificial intelligence / AI security / Data privacy
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Asako Kanezaki
Associate Professor, School of Computing
Areas of specialization: Machine learning / Robotics / Pattern recognition / Computer vision / 3D object recognition
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Keisuke Yanagisawa
Assistant Professor, School of Computing
Areas of specialization: Bioinformatics / Computational drug discovery / Machine learning applications
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Manabu Kanda
Vice President for Teaching and Learning
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Tsuyoshi Isshiki
Professor, School of Engineering
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Takehiko Itoh
Professor, School of Life Science and Technology
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Takafumi Kanamori
Professor, School of Computing
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Osamu Jinnouchi
Professor, School of Science
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Toshiyuki Fujii
Professor, School of Materials and Chemical Technology
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Yasuhiko Minamide
Professor, School of Computing
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Tsuyoshi Murata
Professor, School of Computing
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Yukihiko Yamashita
Professor, Center for Innovative Teaching and Learning
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Kei Sakamura
Associate Professor, School of Environment and Society
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Masakazu Sekijima
Associate Professor, School of Computing
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Manzhos Sergei
Associate Professor, School of Materials and Chemical Technology
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Yu Tao
Specially Appointed Associate Professor, Academy for Super Smart Society
Specially Appointed Faculty
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Tagui Ichikawa
Specially Appointed Professor, Center of Data Science and Artificial Intelligence
Areas of specialization: Social Systems and Policies of Technology and Innovation / Digital and AI Governance Policy
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Kenji Suzuki
Specially Appointed Professor, Center of Data Science and Artificial Intelligence
Areas of specialization: AI ethics / Artificial intelligence / Machine learning / Information law
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Norio Tomii
Specially Appointed Professor, Center of Data Science and Artificial Intelligence
Areas of specialization: Scheduling algorithm / Data analysis / Machine Learning
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Katsumi Nitta
Specially Appointed Professor, Center of Data Science and Artificial Intelligence
Areas of specialization: Artificial intelligence and law / Dialogue informatics / Mathematical argumentation
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Kei Miyazaki
Specially Appointed Professor, Center of Data Science and Artificial Intelligence
Areas of specialization: Marketing science / Statistical science
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Keiji Okumura
Specially Appointed Associate Professor, Center of Data Science and Artificial Intelligence
Areas of specialization: Nonlinear science / Complex systems science