CDEC 2018 - 1st International Workshop on Cross-disciplinary Data Exchange and Collaboration
Topics/Call fo Papers
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.
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.
Other CFPs
- IEEE International Workshop on Data Mining for Service (DMS2018)
- “Proposed Standards on Definitions of Analytics Roles, Skill-sets and Career Paths in the Data Science Industry” Workshop
- International Workshop on Adapting Data Mining for Security
- Sixth Workshop on Data Mining in Biomedical Informatics and Healthcare
- 6th Workshop on High Dimensional Data Mining
Last modified: 2018-07-08 23:03:42