Fundamental Information Technologies toward Innovative Social System Design

Strategic Objectives

Creation of integration technology to enable utilizations of diverse and massive data using Artificial Intelligence core technologies rapidly growing in sophistication and complexity

Research Supervisor

Sadao Kurohashi (Professor, Graduate School of Informatics, Kyoto University)


 Rapid progress in information technologies has made it possible to link an enormous number of sensors and devices to the Internet. Various types of “Big Data” are now stored and used in a variety of settings, including medicine and healthcare, materials and physical properties, urban infrastructure, the global environment and so on. Furthermore, there is tremendous interest in artificial intelligence technologies that employ natural language processing, “deep learning” and so on, and use of such technologies in these areas is progressing rapidly.
 The goal of this research area is to create the fundamental information technologies that will make it possible to design new social systems for an age of social change based on these information technologies. Fundamental technologies will be created to help enable intelligent and integrated analysis, processing and control of information, as well as the establishment of new services and social structures in areas that include social infrastructure including mobility, healthcare including nursing care, disaster prevention and mitigation, and robotics.
 Specifically, research in this research area will focus on such things as advanced sensing technologies,which make it possible to gather and acquire enormous quantities of diverse types of information, real-time data processing technologies, system optimization technologies, communication support using intelligent media, data processing and knowledge processing technologies that incorporate artificial intelligence and the like, and security and privacy enhancement technologies that can accommodate various types of equipment and systems.
 This research area will operate as part of the Advanced Integrated Intelligence Platform project (AIP project) of the Ministry of Education, Culture, Sports, Science and Technology

Research Area Advisors

・Akiko Aizawa
Professor, National Institute of Informatics Digital Content and Media Sciences Research Division

・Hiroshi Imai
Professor, The University of Tokyo Department of Computer Science Graduate School of Information and Science

・Tetsuya Ogata
Professor, Waseda University Faculty of Science and Engineering

・Hisashi Kashima
Professor, Kyoto University Graduate School of Informatics

・Yuka Kato
Professor, Tokyo Woman’s Christian University School of Arts and Sciences, Division of Mathematical Sciences, Department of Information and Sciences

・Nobuo Kawaguchi
Professor, Nagoya University Institutes of Innovation for Future Society

・Tatsuhiko Tsunoda
Professor, Tokyo Medical and Dental University Department of Medical Science Mathematics, Medical Research Institute

・Toyoaki Nishida
Professor, Kyoto University Graduate School of Informatics
(Resigned on March 31th, 2017)

・Takahiro Hara
Professor, Osaka University Graduate School of Information Science and Technology

・Ryuichiro Higashinaka
Senior Research Scientist, Nippon Telegraph and Telephone Corporation NTT Media Intelligence Laboratories

・Mitsuru Matsui
Executive Fellow, Mitsubishi Electric Corporation Corporate Research & Development Group

・Keiji Yamada
Vice President, NEC Corporation Value Co-creation Center, Central Research Laboratories

Year Started : 2016

Empirical research on a information-driven social system based on a human activity recognition and intentional behavior intervention

PRESTO Researcher:
Yutaka Arakawa (Associate Professor, Graduate School of Information Science, Nara Institute of Science and Technology)

Functionalization of a child android robot as a collector of deep communication data

PRESTO Researcher:
Hisashi Ishihara (Tenure Track Assistant Professor, Graduate School of Engineering, Osaka University)

Enabling understanding and communication with intelligent AI agents

PRESTO Researcher:
Tomoyuki Kaneko (Associate Professor, Interfaculty Initiative in Information Studies Graduate School of Interdisciplinary Information Studies, The University of Tokyo)

Toward preemptive medicine: developing a new method for analysis of large-scale electronic health records

PRESTO Researcher:
Yoshimasa Kawazoe (Assistant Professor, Graduate School of Medicine and Faculty of Medicine, The University of Tokyo)

Development of versatile technology for describing various types of data as text flexibly

PRESTO Researcher:
Hiroya Takamura (Associate Professor, Institute of Innovative Research, Tokyo Institute of Technology)

Signal and Information Processing over Networks: Fundamental Technologies for a Better World

PRESTO Researcher:
Yuichi Tanaka (Associate Professor, Institute of Engineering, Tokyo University of Agriculture and Technology)

Development of cooperative augmented speech production technology taking advantage of human adaptability

PRESTO Researcher:
Tomoki Toda (Professor, Information Technology Center, Nagoya University)

Vocabulary Learning System Based on Memory-enhancing Effect of Emotion and Motion

PRESTO Researcher:
Shogo Fukushima (PRESTO Researcher, Japan Science and Technology Agency )

Fast Mining and Forecasting of Complex Time-series Event Streams

PRESTO Researcher:
Yasuko Matsubara (Assistant professor, Faculty of Advanced Science and Technology, Kumamoto University)

Nonlinear machine learning for scientific discovery

PRESTO Researcher:
Makoto Yamada (Unit Leader, Center for Advanced Intelligence Project, RIKEN)

Spoken Dialogue System based on Incremental Language Understanding and Knowledge Acquisition

PRESTO Researcher:
Koichiro Yoshino (Assistant Professor, Graduate School of Information Science, Nara Institute of Science and Technology)

Quick Access

Quick Access


arrow On-going

arrow Completed


  • ACT-I
  • ACT-C
  • ALCA
Finish programs
  • Pamphlet
  • ProjectDB
  • GlobalActivity
  • Diversity-EN
  • OS_Policy-EN
  • Question-E