KANSAI UNIVERSITY

Introduction to DS Lab

Overview

Data Science Laboratory (DS Lab)

The Data Science Laboratory carries out interdisciplinary research in basic technology sectors and a diverse array of business sectors focused primarily on data science.

Recently, the development of various information devices such as sensors and RFID has produced vast quantities of unstructured time-series data. This data, which is known as big data, is being accumulated in all sorts of settings, and has been receiving a great deal of attention.

In order for businesses to harness this big data to create new value, they must answer questions such as: How was the data created? How do human beings behave? What sort of characteristics can be deduced from the unstructured data? In other words, what is required is the implementation of interdisciplinary research and data science that combines the sciences and humanities, in which research results from areas like computer science and social science are organically integrated.

At the Data Science Laboratory, our goal is to apply various data science techniques to a variety of business sectors, and build a research structure for achieving the data science processes of developing basic techniques and applications, developing models for consumer behavior, and verifying these by putting them into practice. To accomplish this, it forms teams that oversee business application areas and modeling, and the construction of information infrastructure. DS Lab also partners with top-level research centers from around the world, primarily those in Europe and America, to achieve the formation of a networked research center through industry-academic partnerships with domestic companies.

DS Lab employs cutting-edge techniques for data science on multidimensional and time-series data that business sectors have failed to adequately grapple with to date. By doing so, it will continue to create theoretical models that understand complex phenomena and perform demonstration experiments through industry-academic partnerships.