Formulation of a system of “Sign Studies" that contributes to the planning of effective measures for well-being and positive society, grasping the signs of likely events that will happen in the future

Sign Studies

Today, volatility, uncertainty, ambiguity, and complexity are increasing in all kinds of situation, including human society, social systems and natural environment, making it difficult to predict the future. Before an unfavorable situation occurs, we will study how to explore the weak signals from big data, how to extract signs, how to interpret sign, how to make structured information from signs, how to make decisions on sign information, how to deliver predictor information, and create “Sign Studies" as a science that integrate them.

Sign Studies
Project Member

OHIRA, Hideki

Professor

Graduate School of Informatics (Department of Cognitive and Psychological Sciences)

TOKITA, Kei

Professor

Graduate School of Informatics (Department of Complex Systems Science)

ISHII, Keiko

Associate Professor

Graduate School of Informatics (Department of Cognitive and Psychological Sciences)

TAKEDA, Koichi

Professor

Graduate School of Informatics
(Future Value Creation Research Center (FV-CRC))

HARA, Kunihiko

Designated Professor

Graduate School of Informatics
(Future Value Creation Research Center (FV-CRC))

LI, Yang

Designated Assistant Professor

Graduate School of Informatics
(Department of Cognitive and Psychological Sciences)

UZAWA, Tohru

Professor

Graduate School of Mathematics

OHIRA, Toru

Professor

Graduate School of Mathematics

KAJIKAWA, Yuya

Professor

Institute for Future Initiatives, The University of Tokyo

SASAHARA, Kazutoshi

Associate Professor

Tokyo Institute of Technology (School of Environment and Society, Technology and Innovation Management / Department of Innovation Science)

ZHENG, Wanwan

Assistant Professor

Graduate School of Humanities
(Humanity Center for Anthropocenic Actors and Agency)

Future Value Creation Research Center (FV-CRC)