Applied data-centric social sciences aim to develop both methodology and practical applications of various fields of social sciences and businesses with rich data. Specifically, in the social sciences, a vast amount of data on human activities may be useful for understanding collective human nature. In this book, the author introduces several mathematical techniques for handling a huge volume of data and analysing collective human behaviour. The book is constructed from data-oriented investigation, with mathematical methods and expressions used for dealing with data for several specific problems. The fundamental philosophy underlying the book is that both mathematical and physical concepts are determined by the purposes of data analysis. This philosophy is shown throughout exemplar studies of several fields in socio-economic systems. From a data-centric point of view, the author proposes a concept that may change people's minds and cause them to start thinking from the basis of data. Several goals underlie the chapters of the book. The first is to describe mathematical and statistical methods for data analysis, and toward that end the author delineates methods with actual data in each chapter. The second is to find a cyber-physical link between data and data-generating mechanisms, as data are always provided by some kind of data-generating process in the real world. The third goal is to provide an impetus for the concepts and methodology set forth in this book to be applied to socio-economic systems.

Provides abundant examples and case studies of data-driven investigations of socio-economic systems Presents cyber-physical approaches to data-generating processes for real-world problems Looks at how to collect, store, validate and manage data in applied data mathematics and physics Includes supplementary material: sn.pub/extras

Autorentext

Aki-Hiro Sato works as Professor at Department of Data Science, Graduate School of Data Science, Yokohama City University. Aki-Hiro Sato received a Doctor of Information Sciences in Graduate School of Information Sciences from Tohoku University, Sendai, Japan in 2001. From 2000 to 2001, he worked as a Doctoral Fellow of the Japan Society for the Promotion of Science at the Research Institute of Electrical Communication of Tohoku University. From 2001 to 2019, he worked at the Graduate School of Informatics, Kyoto University. He was PRESTO Researcher at Japan Science and Technology Agency from October 2015 to March 2020. He has been Professor at Yokohama City University since April 2020, the Representative Director at the Research Institute for World Grid Squares since November 2020, and Guest Professor at Statistical Research and Training Institute, the Ministry of Internal Affairs and Communications since May 2019. A.-H. Sato's current interests are in understanding both external and internal environments of our society. He attempts to shed light on these problems from a data-centric point of view. His recent other interests are related to the data-driven system design from the man-machine point of view based on data and statistics. Hiroe Tsubaki is Director General and Professor Emeritus of the Institute of Statistical Mathematics in Tokyo, Vice President of Transdisciplinary Federation of Science and Technology and a member of International Academia for Quality. After he received his Ph. D. degree from the University of Tokyo, as an applied statistician for quality management he worked in drafting statistical guidelines of clinical trials for the Ministry of Health and Welfare and licensing practices for new drug application as an expert member of the New Drugs Investigation Committee of the Central Pharmaceutical Affairs Council in1990s. He also conducted ethical monitoring of clinical trials as a member of the Central Ethics Committee for Strategic Research of the Ministry of Health, Labour and Welfare in 2000s. He was awarded the Deming Prize Honor Award in 2021 for his social implementation of quality management concepts in various fields including clinical evaluation.

Inhalt

Introduction .- Introduction.- Framework.- Methodology .- Mathematical expressions.- Data in computers.- Exemplar studies .- Risk assessment of extreme events.- Segmentation study of foreign exchange market.- Hotel booking data.- Tendency of international air travels.- Energy consumption.- Future work .- Future research in applied data-centric social sciences.