1st International Workshop on Cross‐Domain Data Analysis and Computation for Digital Ecosystems (InC2Eco'19)
Leipzig, Germany, 1 - 4 September, 2019
The progress in Information and Communication Technologies (ICT) builds a strong basis to realize cross‐domain data computation approaches. However, the data flow, coming from local sensors up to satellite remote sensing, business processes, enquiries, social networks and other manifold sources is extremely complex and dynamic. Therefore, sufficient data conditioning as well as analysis methods and corresponding ICT infrastructures are crucial for the extraction and handling of the information embedded in the data. Especially the development and implementation of efficient workflows for the integration of heterogeneous data types across various stakeholders presents a big challenge in the development of data‐driven Smart Services. New paradigms are needed for empowering science, society and business to understand and design the interaction of systems and processes on different spatial and temporal scales. The idea of the workshop enables an interdisciplinary discussion of challenges and potential solutions in the new world of cross‐domain data integration and information extraction (e.g. energy, health, environment, economy). We invite contributions presenting challenges, solutions, cases studies, and best practices dealing with ecosystem management, big data and workflow modeling. Competencies from the field of Information Systems, Data Science, Environmental Science, Computer Science, Mathematics, Medicine, Energy and Business are required to develop new promising ideas that contribute to the investigation and extraction of information from cross‐domain data.
This special session is a joint track by WIG2, the Scientific Institute for health economics and health service research, and the Information Systems Institute of Leipzig University.
The topics of interest therefore include but are not limited to:
- Ecosystem design and management for cross‐domain data exploitation
- Cross‐domain maturity in businesses of different sizes and industry sector
- Case studies investigating challenges and potentials of cross domain analytical
- Efficient data management approaches along the chain of information
- Fusion of data, methods and results
- Data quality assurance
- IT‐infrastructures and -architectures
- From data to variable and from variable to indicator workflows for smart services
- Best practices to improve interoperability
- Dealing with privacy and data ownership in cross
- Authors should submit draft papers (as Postscript, PDF or MSWord file).
- The total length of a paper should not exceed 10 pages IEEE style (including tables, figures and references). IEEE style templates are available here.
- Papers will be refereed and accepted on the basis of their scientific merit and relevance to the workshop.
- Preprints containing accepted papers will be published on a USB memory stick provided to the FedCSIS participants.
- Only papers presented at the conference will be published in Conference Proceedings and submitted for inclusion in the IEEE Xplore® database.
- Conference proceedings will be published in a volume with ISBN, ISSN and DOI numbers and posted at the conference WWW site.
- Conference proceedings will be indexed in BazEkon and submitted for indexation in: Thomson Reuters - Conference Proceedings Citation Index, SciVerse Scopus, Inspec, Index Copernicus, DBLP Computer Science Bibliography and Google Scholar
- The selected paper will be invited to submit extended version of the paper for Special Issues.
- Organizers reserve right to move accepted papers between FedCSIS events.