Research Topics
In this laboratory, we are engaged in research in the area of Behavioral Data Science, with a focus on approaches in the field of computer science, such as data engineering and machine learning. Behavioral Data Science is a research area that aims to understand the characteristics of human behavior and psychology and to utilize human behavior data by combining "knowledge related to behavior in the behavioral sciences such as psychology, economics, sociology, etc." and "approaches in the field of computer science such as computer science, data engineering, information systems, etc.". Currently, we are mainly focusing on the following human behaviors, but we plan to conduct research on a wide range of human behaviors, including but not limited to the following.
Human mobility in urban areas
Behaviors toward Well-Being
Behaviors for browsing and transmitting information on the Web
Approaches
Analyze human behavior and create models based on it, and through simulations that utilize these models, identify measures to change the future.
In addition to approaches in the field of computer science, such as data engineering and machine learning, we will actively incorporate knowledge from academic fields related to human psychology and behavior.
Research areas (target people behaviors)
Human Mobility in Urban Areas
Analysis of movement trajectories
Forecasting of human flow and congestion
Guidance and control optimization of human flow
Behavior toward Well-being
Elucidation of human behavior selection mechanisms
Exploring behavior change strategies that lead people in a better direction
Activities on the web
Information gathering behavior using search engines
Browsing behavior on websites
Information dissemination and communication on social media