<< Workshop in IEEE Big Data 2024 >>The Second Workshop on Large-scale Data Utilization in Economics of Information andManagement Sciences: Theory, Computation, and Experiment(updated on September 13, 2024)<<Acronym>> EconManag<<Workshop Style>> In-Person. Authors who have visa problems or other serious difficulties are allowed
to present their papers on line or with video.
<<Introduction to Workshop>>
The purpose of this workshop is to discuss how large-scale data are dealt with in economics and management
sciences including marketing, finance, and accounting interdisciplinary among practitioners, engineers, andresearchers. We intend to clarify what kinds of effect those data have in our social institutions and share what
are obstacles to promoting the utilization in those fields.
Since social or cultural systems are fundamentally different among different countries and regions, the data
usage that successfully worked in a region does not necessarily work in the same way in other regions. The
goal of this workshop is thus to explore the utilization of large-scale data in consideration of such social orcultural backgrounds across broader disciplines with practitioners, engineers, and researchers in informationengineering and computer science.
As special topics, furthermore, we intend to discuss about some methods of experiments for the interactions
between computers and cognitive or emotional aspects of human behavior in digital marketing, accounting
informatics, and personnel management as well as financial issues, urban planning, and energy supply. Topics
related to practical use of technologies on large-scale data are provided from the viewpoints of informationengineering and computer science, while the estimation of the value of data is also discussed from theviewpoints of economics of information.
<<Research Topics>>
We call for papers written by anyone who are interested in the following topics related to this workshop.
Data-oriented Applications in Management:
・ Economics of Information and Organization
・ Statistical Techniques and Algorithms
・ Financial Risk and Security
・ Health Care and Medical Issues
・ Digital Marketing and Marketing Science・ Management Accounting and Informatics
・ Dynamical Systems and Econophysics
・ Computational Social Science・ Experimental Social Science・ Human-Computer Interaction
・ Social Simulation and Numerical Studies
・ Lab and Field Experiments

Case Studies:・ Methods for Evaluation of Data Utilization
・ Curation and Management of Data・ Trust, Resilience, Privacy Issues
・ Urban Planning and Transportation
・ Generation and Supply of Renewable Energy

Practical Use of Technologies:
・ Text and Data Mining, Summarization, TopicAnalysis, and Report Generation
・ Machine Learning for Social Data・ Reinforcement Learning in Economics
・ Retrieval/Recommender Systems
・ Big Data Optimization
・ Causality Estimation in Management
・ People Analytics and Personnel Issues
・ Eye Tacking, Mouse Tracking, and EEG

Methods of Experiments:
・ Behavioral Science and Modeling・ Cognitive Science and Human Behavior

Markets for Data Transaction:
・ Process and Technologies for Data Exchange・ Pricing Data and Data Platform・ Data Acquisition and Sensors
・ Strategic Manipulation and Incentives
・ Fairness and Social Welfare<<Important Dates>>
June 26 (Wed), 2024: Workshop Paper Submission Starts (US-EST)
October 16 (Wed), 2024: Due date for full workshop paper submission (US-EST), updated on 9/8
The due date for those who submitted papers to the Main Conference is extended to
October 23 (Wed), 2024 (US-EST), updated on 9/13
Nov 6 (Wed), 2024: Notification of paper acceptance to authors (US-EST)
Nov 20 (Wed), 2024: Camera-ready of accepted papers (US-EST)
Dec 15-18 (Sun-Wed), 2024: Workshop (US-EST)<<Format and Schedule>>
Half day (8 presentations)
TimeContents
8:50-9:00
Opening Notes
9:00-10:40
4-5 Presentations
10:45-11:15
Invited Talk (expected)
11:20-13:00
4-5 Presentations<<Program Committee>>
Organizers
Naoki Watanabe, Keio University, Japan (Chair-in-Chief): Economics of Information
Kazuhito Ogawa, Kansai University, Japan (Co-Chair): Behavioral and Experimental Economics
Satoshi Takahashi, The University of Electro-Communications, Japan (Co-Chair): Operations Research
PC Members (Organizers are omitted in this list.)
Teruaki Hayashi, The University of Tokyo, Japan: Information Engineering, IEEE member
Hiroki Sakaji, The University of Tokyo, Japan: Natural Language Processing, IEEE member
Hiroyasu Matsushima, Shiga University, Japan: Multi-Agent Simulation, IEEE member
Nariaki Nishino, The University of Tokyo, Japan: Service Engineering
Zhen Li, Kansai University, Japan: Digital Marketing, Eye-Tracking
Supporting Members (those who support the organizers and the PC members as reviewers)
Yuya Akita, Kyoto University, Japan: Spoken Language Processing, IEEE member
Hiroyasu Ando, Tohoku University, Japan: Mathematical Modeling, IEEE member
Tetsuya Kawamura, Tezukayama University, Japan: Behavioral and Experimental Economics
Yoichiro Fujii, Meiji University, Japan: Actuarial Science
Yusuke Osaki, Waseda University, Japan: Finance
Yoichi Izunaga, Kyushu University, Japan: Operations Research
Takashi Yamada, Yamaguchi University, Japan: Social Simulation
Satoshi Taguchi, Doshisha University, Japan: Management Accounting
Rei Goto, Keio University, Japan: Medical and Health Economics
Taro Kumano, Yokohama National University, Japan: Matching Theory
Eizo Akiyama, The University of Tsukuba, Japan: Human and Computer Interaction
Morimitsu Kurino, Keio University, Japan: Matching Theory
Nobuyuki Hanaki, Osaka University, Japan: Behavioral and Experimental Economics
Ken Ishibashi, Kansai University, Japan: Soft Computing, Eye-Tracking
Hajime Kobayashi, Kansai University, Japan: Repeated Games
Yoshitaka Okano, Kansai University, Japan, Experimental Economics and Psychology<<Paper Submission>>
Submission Starts on June 24 (Fri). Every Paper is limited to 10 pages in the IEEE double column format,
including the bibliography and appendices. Papers with more than 10 pages may be rejected without review.
The templates (tex, docx) are available athttps://www.ieee.org/conferences/publishing/templates.html
Accepted papers will be published in the Proceedings volume in the IEEE Xplore Digital Library. Those
papers should not be submitted to other journals, conferences, and workshops. Blow is the site for on-line
paper submission. Choose no. 14 and click on the title of the WS. (Download this pdf file, and then click on
the following URL, if necessary.)https://wi-lab.com/cyberchair/2024/bigdata24/scripts/ws_submit.php?subarea=S
The paper submission site for this WS will start to work in late June.

<<Our past record>>As part of the Big Data 2023 workshops, we successfully conducted the (first) Workshop on `` Large-scale
Data Utilization in Economics of Information and Management Sciences: Theory, Computation, andExperiment in Sorrento, Italy. 10 distinguished papers were accepted after blind reviews and there were anaudience of more than 25 participants in person. After reviewing 13 papers, we accepted 10 papers. (Theinvited speaker also submitted his paper to the workshop.) The purpose of the workshop was to discuss how
large-scale data can be used in medical practice, corporate management, and public systems and toquantitatively understand what kinds of effect it has and what are obstacles to promoting its use in thosefields.
The website URL for WS 2023 is as follows.
http://labs.kbs.keio.ac.jp/naoki50lab/Workshop_IEEE_BigData2023.pdf<<Corresponding Organizer>>
Naoki Watanabe (Chair-in-Chief)
Graduate School of Business Administration, Keio University
4-1-1 Hiyoshi, Kohoku, Yokohama, Kanagawa 223-8526, JAPAN
Phone: +81-045-564-2039
E-mail: naoki50<AT>keio.jp (replace <AT> with at-markWebsite: http://labs.kbs.keio.ac.jp/naoki50lab/index.html