Behavioral Data Science Laboratory

Shaping the Future of Exercise and Sports with Data and Technology

Our laboratory is dedicated to scientifically clarifying the benefits and risks of exercise and sports, and translating these findings back to society. Specifically, we systematically organize existing research through systematic reviews and meta-analyses, while also discovering new insights through the analysis of large-scale data. Further老挝磨丁赌场_老挝赌场-中国竞彩网官网推荐, we apply findings obtained through data science to digital health technologies, connecting them to practical applied research and development that can be used in real-world settings. Through these activities, students can develop the ability to analyze data, interpret research findings, and implement scientific knowledge into technology. These skills are useful not only for health support in medical and long-term care settings, but also for improving performance and preventing injuries in sports. In addition, skills in data science and AI can be applied to the development of wearable devices and health apps, as well as to cutting-edge challenges such as astronaut health management.

College of Systems Engineering and Science / Graduate School of Engineering and Science(Master's Program) Systems Engineering and Science / Graduate School of Engineering and Science(Doctor's Program) Functional Control Systems Course
Faculty Name
OSUKA, Yosuke
Keyword
Data Science,Clinical Statistics,Evidence,Large-Scale Data,Digital Health Technology
Laboratory location
Emergence Hub OMIYA Campus 5F 9523-1

This lab is for this SDG activity:

  • すべての人に健康と福祉を
  • 産業と技術革新の基盤をつくろう
  • 住み続けられるまちづくりを

STUDY FIELDS

  • Sports Medicine and Exercise Science
  • Geriatrics

FOR SOCIETY

We investigate the benefits and risks of exercise and sports for physical and mental health across a wide range of populations, from children and older adults to athletes and astronauts, using two data science approaches. First, we systematically organize and integrate existing evidence through systematic reviews and meta-analyses. Second, we utilize large-scale databases to identify previously unrecognized benefits and risks. Ultimately, we aim to translate insights gained from data science into healthcare technology and establish effective, practical strategies for health promotion through exercise and sports.

RESEARCH THEMES

  • Synthesizing existing evidence through systematic reviews and meta-analyses
  • Identifying new benefits and risks of exercise and sports activities using large-scale data
  • Advancing exercise and sports support through healthcare technology

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