Due to recent social movement of big data and artificial intelligence, the importance of data and data mining has been increasing. In the background of these expectations, there are the externalizations of interdisciplinary issues. Many papers about data mining have been published, and the processes of analyzing data have been shared widely. However, there are not many studies targeting the process of cross-disciplinary data exchange and collaboration using knowledge acquired by data mining. Because cross-disciplinary data exchange and collaboration includes various activities of different stakeholders, it is difficult to evaluate the patterns or the processes quantitatively. To tackle the above problems, we propose a practical workshop to discuss the data-driven decision making focusing on the processes and the interactions among data, humans, and society.
The workshop is Cross-disciplinary Data Exchange and Collaboration (CDEC). CDEC includes the practical fields which analytically performs the topics using data, the challenging solutions against social issues, and the cross-disciplinary data collaboration and its process. Our workshop targets not only cleanly formatted single data but also heterogeneous data which affect human behaviors, thoughts, and intentions in different domains. We also focus on the discussion to obtain tacit knowledge of data mining by analysis and synthesis. In addition to these research fields, the cognitive approach for observing the processes of knowledge discovery and data exchange is also included in our focus. Conflicts and inconsistencies may arise due to diversity when stakeholders with different knowledge have discussions on data-driven decision making. We believe the workshop focusing on the process of cross-disciplinary data exchange and collaboration has great significance not only on academic fields but also on beyond academia in the society.
This workshop is a natural extension of MoDAT (International workshop on the Market of Data), which had been conducted as a series of workshops in ICDM in the past five years from 2013 to 2017. In MoDAT workshops, we discussed how to design the market of data, and solutions leading productive actions in businesses and sciences – including industrial, political, and educational sectors – had been created. In the workshop of CDEC, we also discuss the practicality of these applications based on the discussions of MoDAT.
We call for anyone interested in the following topics of Cross-disciplinary Data Exchange and Collaboration.
Data Mining Application Areas:
Case Studies on Data Exchange and Collaboration:
Data Focused Cognitive Research:
Data Focused Visualization Research:
Empirical And Comprehension Focused Data Mining:
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 IEEE ICDM 2018 Workshops Proceedings volume published by IEEE Computer Society Press, and will also be included 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.
The submission guidline has been confirmed by the ICDM Workshop chairs. Please read carefully the following instructions.
Teruaki Hayashi (PhD)
The University of Tokyo
Teruaki Hayashi is an assistant professor at The University of Tokyo. He received Ph.D. in Department of Systems Innovation from The University of Tokyo (2017). From 2017, he has been an Assistant Professor at the Department of Systems Innovation, The University of Tokyo. His main research topics are knowledge structuring, data management, retrieval system, and human behavior modeling in the market of data. He got Dean's Award of Engineering in Social Contribution and Student Leadership Award in Leading program of The University of Tokyo in 2017 in his research and social activities using Data Jackets. Data Jacket is a framework for describing an overview of data while keeping data itself confidential. He conducted over 100 workshops on cross-disciplinary data exchange and collaboration using Data Jackets involving over 200 companies and institutions in total since 2011. He had 11 domestic and 2 international invited talks about Data Jackets and knowledge structuring. For the international research activities, he is the Scientific Committee member of The 23rd Annual Workshop on Economic Science with Heterogeneous Interacting Agents (WEHIA2018) and International Programme Committee member of International Conference on Knowledge-Based and Intelligent Information and Engineering Systems 2018 (KES2018). For the domestic research activities, he published the book about "Market of Data" (Eds. Yukio Ohsawa) in Japanese in 2017, and edited and published the special issue named "AI and Data --Data driven decision making and social innovation--" at the Japan Society for Artificial Intelligence in 2018. Based on the international and domestic activities using Data Jackets, he started Data Jacket Association with Professor Ohsawa and is in charge of the chairperson of the group involving nine companies and institutions. As the social activities, he is the special member of Data Trading Alliance (DTA) in Japan, and in charge of the Vice Chairperson of Data Utilization Promotion Committee and the expert adviser of the Data Catalog Standardization Project in DTA.
Yukio Ohsawa (PhD, Professor)
The University of Tokyo
Yukio Ohsawa is a professor of Systems Innovation in the School of Engineering. He received BE, ME, and PhD in from the School of Engineering, The University of Tokyo (1995). Then worked for the School of Engineering Science in Osaka University (research associate, 1995-1999), Graduate School of Business Sciences in University of Tsukuba (associate professor, 1999-2005), and moved back to The Univ. of Tokyo. He started researches from non-linear optics, and, via artificial intelligence, created a new domain chance discovery meaning to discover events of significant impact on decision making, since year 2000. About chance discovery he gave keynote talks in conferences such as International Symposium on Knowledge and Systems Sciences, Int’l Conf. on Rough Sets and Fuzzy Sets, Joint Conf. on Information Sciences, Knowledge-Based Intelligent Information and Engineering Systems, etc. Chance discovery came to be embodied as innovators’ marketplace, a methodology for innovation borrowing principles of the dynamics of markets. Then he, when biking from his job in a business school, invented the basic idea of Data Jackets as a new tool for enhancing chance discoveries via combining data from various data owners. Since then, he is introducing the method presented in this book to sciences, educations, and businesses. His original concepts and technologies have been published as books and monographs from global publishers such as Springer Verlag, Taylor and Francis, etc. Two most important books among them are, "Chance Discovery" (2003 Springer, foreword given by Eric von Hippel), "Innovators’ Marketplace: Using Games to Activate and Train Innovators” (2012 Springer, foreword given by Larry Leifer). He edited special issues as guest editors for journals, mainly relevant to chance discovery, such as Intelligent Decision Technologies (2016), Information Sciences (2009), New Generation Computing (2003), Journal of Contingencies and Crisis Management (2002), etc.
Note: Since we are contacting to other researches, more program committees will be added to the list.
This workshop is supported by Data Jacket Association.
We initiated MoDAT workshop since 2013, in ICDM2013. According to the workshop committee of ICDM2013, our workshop has got reported to the steering committee as the best of all 19 workshops in the conference. Also we organized workshops that are linked to the present proposal. That are about data-driven approaches to business strategies such as Chance discovery and Data Synthesis (more than 30 international workshops and symposia, including ICDM 2010, AAAI Springer Symposia 2001, IJCAI 2011, ECAI2004, ECAI2011, KES2000 till 2013) Discovery, Decision, and Design (IEEE SMC 2005-2011), and other workshops organized by the Technical Committee of Information Systems for Design and Marketing: Ohsawa (the chair) has been and is the TC chair of Information Systems for Design and Marketing, in SMC society of IEEE. If we count those including any of the program committee members, the record will be too large to list here, e.g., workshops on data based marketing where business people and data scientists meet. Also we edited Special Issues as guest editors for international journals, mainly relevant to chance discovery. The journals were: International Journal of Knowledge and Systems Science (2013), International Journal of Organizational and Collective Intelligence (2011), International Journal of Advanced Intelligence Paradigms (2010), Information Sciences (2009), International Journal of Knowledge-based and Intelligent Engineering Systems (2007,2008), New Mathematics and Natural Computation (2006), New Generation Computing (2003), and Journal of Contingencies and Crisis Management (2002).
Ohsawa et al. organized relevant workshops so far, since year 2000. That are about data-driven approaches to business strategies such as Chance discovery and Data Synthesis (more than 30 international workshops and symposia, including ICDM 2010, AAAI Springer Symposia 2001, IJCAI 2011, ECAI2004, ECAI2011, KES2000 till 2013) Discovery, Decision, and Design (IEEE SMC 2005-2011), and other workshops organized by the Technical Committee of Information Systems for Design and Marketing: Ohsawa (the chair) has been and is the TC chair of Information Systems for Design and Marketing, in SMC society of IEEE. If we count those organized by any workshop members, the record will be too large to list here, e.g., workshops on semantic web, linked open data, data based marketing, etc., where business people and data scientists meet.
Thanks to editors of MDPI, we decided "CDEC: Cross-disciplinary Data Exchange and Collaboration" as a special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information and Communications Technology".
We believe that this Special Issue provides a chance of reaching even broader audiences to the authors of CDEC 2018, who are therefore invited to submit extended versions of their papers to the Special Issue. However, authors interested in extending their workshop papers must be aware that the final submitted manuscript must provide a minimum of 50% new content and not exceed 30% copy/paste from the proceedings paper. Each manuscript will be blind reviewed by MDPI academic editors.
Dr. Teruaki Hayashi (co-chair)
Email: hayashi -at- sys.t.u-tokyo.ac.jp