Recent innovations with Big Data and Artificial Intelligence have created new markets and dramatically increased the importance of data. Despite these social changes, existing economics, market design, management, information systems, engineering, social science, and data science approaches to these new social issues have limitations. New market understanding schemes and solutions for social implementation are needed.
To address these gaps, we propose a special session named “Understanding New Markets by Data Science, Social Science, and Economics” to discuss the processes and interactions among data, humans, and society with researchers from engineering, information systems, data science, social science, management, and economics. The topics to be covered in this session are practical issues for understanding new societies and markets, including analytical work with data and solutions to complex social problems. The session will cover not only cleanly formatted, homogeneous data but also heterogeneous data that influence human behavior, thinking, and intentions across different domains. Discussions will focus on how large-scale data can be used in healthcare, business management, and public systems, as well as discussions of quantitative assessments of what works in these areas and the obstacles to advancing their use. In addition to these research areas, we will explore utilizing large-scale data and designing mechanisms and institutions that consider social and cultural backgrounds across disciplines. We believe that this special session focusing on the new schemes for market understanding and design will be of great significance to academia and society.
We call for anyone interested in the following topics of Cross-disciplinary Data Exchange and Collaboration.
Data-oriented Application Areas
Case Studies on Data Exchange and Collaboration
Data-focused Cognitive Research
Empirical and Comprehension Focused Data Utilization
Market of Data
NLP in Social Science
Paper submissions should be limited to a maximum of ten (10) pages, in the IEEE 2-column format (link), including the bibliography and any possible appendices. Submissions longer than 10 pages will be rejected without review.
Note that all accepted papers will be included in the Proceedings volume in the IEEE Xplore Digital Library. Therefore, papers must not have been accepted for publication elsewhere or be under review for another workshop, conferences or journals.
This session is in conjunction with the workshop "Large-scale Data Utilization in Economics of Information and Management Sciences: Theory, Computation, and Experiment (EconManag)". Papers rejected for this special session will have the opportunity to be presented at the EconManag workshop, so please select the workshop when you resubmit your paper after notification.
The submission guidline has been confirmed by the IEEE BigData chairs. Please read carefully the following instructions.
Submission page has been closed. Thank you for your contribution!
Director of AnySolution
Dolores Ordoñez holds a degree in Law by Deusto University, Spain and she is specialized in European Community Law and holds an Executive Master in Innovation. Specialized in innovative strategies mainly in line with SmartCities, Tourism and smart destinations and sustainability. She is member of the Smart Destinations WG at the University of the Balearic Islands. She is president of Planetic (Spanish technological platform for ICT) and vice-president of the international cluster of Tourism, TURISTEC. She is also vice-president of the Spanish National hub of GAIA-X, and co-leader of the tourism data space working group. She has been selected as one of the 10 Smart Tourism Destinations programme of the European Union. She is the coordinator of the track on smart and sustainable transition in Tourism for Intelligent Cities Challenge of the European Commission and tourism expert for Eurochambres within EU4BCC. Co-chari of the Digital Group of the T4T (Together for EU Tourism) With more than 20 years of experience as head of European projects in different public administrations in the Balearic Islands and in the private sector, presently she manages challenging EU projects in different fields, as the coordination of the European Tourism data Space, DATES project. She is speaker in many conferences worldwide and teaches issues related to the European Union, SmarCities, SmartTourism and Sustainability. As technical director of AnySolution, she is in charge of strategic innovative plans for public and private entities, EU projects implementation and the development of the data-driven platform NADIA, with the European award 2023 by the AIOTI
Teruaki Hayashi (PhD)
The University of Tokyo
Teruaki Hayashi is a lecturer at The University of Tokyo. He received his Ph.D. degree in engineering from The University of Tokyo (2017). His research topics are knowledge structuring, data management, retrieval systems, and human behavior modeling, focusing on cross-disciplinary data collaboration in the data ecosystem. He is the coauthor of the book Market of Data (Kindaikagakusha, 2017), and Tools for Activating Data Marketplace (Springer, 2022). He was awarded the Dean's Award by the School of Engineering, The University of Tokyo (2017), an Excellence Award at the 23rd Annual Conference of the Japanese Society of Artificial Intelligence (2018), etc.
Hiroki Sakaji (PhD)
Hiroki Sakaji is currently an associate professor at Hokkaido University, Japan. He got the Ph.D. degree in Engineering from the Toyohashi University of Technology (2012). His research interests are related to natural language processing, text mining concerning economics and finance. He served as an area chair of ACL and as PC members of many conferences (ACL, AAAI, IEEE BigData).
Naoki Watanabe (PhD)
Naoki is a professor of management science at Keio Business School. He received his Ph.D. in Economics from The State University of New York at Stony Brook (August 2003). His major academic contribution is the application of game theory to patent licensing and information markets. He has published papers on subject experiments in which voting systems and trading mechanisms as well as theoretical research. In practical activities, he has been involved in the planning of personnel algorithms for Japanese manufacturers.
Note: Since we are contacting to other researchers, more program committees will be added to the list.
Dr. Teruaki Hayashi (co-chair)
Email: hayashi -at- sys.t.u-tokyo.ac.jp