Data Science in Health, Ecology and Commerce
(DSH)

Kraków, Poland, 14-17 September, 2025

Data Science in Health, Ecology and Commerce is a thematic session on the intersections of data analysis, data economics, information systems and data-based research. The workshop is explicitly focusing on the interaction of those four fields and interdisciplinary research. Here, data-driven solutions can be generated by understanding complex real-world (e.g. smart health services, interaction of ecological factors on wellbeing or the economic effects of sustainable infrastructures) related problems, critical thinking and analytics to derive knowledge from (big) data. The past years have shown a forthcoming interest in innovative data technology and analytics solutions that link and utilize large amounts of data across individual digital ecosystems. Innovative applications scenarios in the field of health, smart cities or
sustainable value systems merge data from various IoT devices, social media or application systems and demonstrate the great potential for gaining new insights, supporting decisions or providing smarter services. Together with inexpensive sensors and computing power we are ahead of a world that bases its decisions on data. However, we are only at the beginning of this journey, and we need to further explore the required methods and technologies as well as the potential application fields and the impact on society and economy. This endeavor needs the knowledge of researchers from different fields applying diverse perspectives and using different methodological directions to find a way to grasp and fully understand the power and opportunities of data science.

Topics

Integrated data analysis in health, ecology and commerce
Data management and platforms
Data economics, e.g. spatial health economics
Data integration techniques
Semantic and AI-based data analysis
Smart data and service research
Smart Service Engineering
Data based services, applications and prototyps, e.g. integrated care, self sovereign id, e-health services
Privacy in data science and data-based smart services

Thematic Session organizers

Militzer-Horstmann, Carsta, Leipzig University, Germany
Reinhold, Olaf, Cooperative State University Saxony, Germany
Bumberger, Jan, Helmholtz Centre for Environmental Research, Germany
Häckl, Dennis, Leipzig University, Germany
Franczyk, Bogdan, Wroclaw University of Economics & Leipzig University, Poland & Germany
Fernandes De Muylder, Cristiana, Universidade FUMEC, Brazil

Contact: dsh@fedcsis.org

Submission rules

Authors should submit their papers as Postscript, PDF or MSWord files.
The total length of a paper should not exceed 12 pages IEEE style (including tables, figures and references). More pages can be added, for an additional fee. IEEE style templates are available here.
Papers will be refereed and accepted on the basis of their scientific merit and relevance to the Topical Area.
Preprints containing accepted papers will be published online.
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 submitted for indexation according to information here.
Organizers reserve right to move accepted papers between FedCSIS Sessions.