Computer and Mathematical Sciences
Fundamental Data Informatics A18
KeywordsData Science, Statistical Science, Complex Systems, Behavior Analysis, Learning Analytics, Spatio-temporal Analysis
Data Science Approach to Information in Complex Systems
We study information-theoretic frameworks and its applications to unravel the valuable information from the data collected and generated from complex and diverse natural phenomena, social phenomena and human activities, especially cases that are transient and difficult to process routinely.
(1) Collective dynamics and information theory of complex systems:
Looking at a flock of birds and fish, they behave in a complex way, as if they were a single multicellular organism, exhibiting a well-organized movement or sometimes changing the state disorderly. We are trying to reveal the information-theoretic structure and the control mechanisms of collective motion in the group of animals based on the field measurement data. We are also interested in other examples of complex phenomena including biological systems as the research subjects.
Looking at a flock of birds and fish, they behave in a complex way, as if they were a single multicellular organism, exhibiting a well-organized movement or sometimes changing the state disorderly. We are trying to reveal the information-theoretic structure and the control mechanisms of collective motion in the group of animals based on the field measurement data. We are also interested in other examples of complex phenomena including biological systems as the research subjects.
(2) Learning analytics in IT education and e-learning:
To practice effective education with IT or e-learning, it is necessary to improve instruction and educational contents based on evidence. So, we investigate every different learning activities and model them through developing applications and tools for actual educational fields. We also study on methodology of analytics for these learning activities.
To practice effective education with IT or e-learning, it is necessary to improve instruction and educational contents based on evidence. So, we investigate every different learning activities and model them through developing applications and tools for actual educational fields. We also study on methodology of analytics for these learning activities.
(3) Development of a data analysis method and its application:
With sparse estimation, nonparametric regression, varying coefficient model, etc., we try to develop a new data analysis method and its estimation algorithm. For example, prediction for the prices of real estate and ecology investigation of marine lives are our targets, and real data analyses for them are conducted.
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Field measurement of flock of birds
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Smartphone application for language learning and a tool for exploratory learning analytics