Data Science in Health, Ecology and Commerce

(DSH)

Data Science in Health, Ecology and Commerce is a thematic session that focuses on the intersections of data analysis, data economics, information systems, and data-based research. The workshop explicitly highlights the interaction among these four fields and encourages interdisciplinary research. It aims to foster data-driven solutions by deepening our understanding of complex, real-world challenges—such as smart health services, the influence of ecological factors on well-being, or the economic effects of sustainable infrastructures—and by applying critical thinking and analytical methods to derive knowledge from (big) data.

 In recent years, interest in innovative data technologies and analytics has grown substantially. Emerging solutions now link and utilize large amounts of data across diverse digital ecosystems. These developments support new application scenarios that integrate data from IoT devices, social media, and various information systems, demonstrating the significant potential of data science for generating insights, supporting decisions, and enabling smarter services in health, ecology, and commerce.

 However, we are still at the beginning of this journey. Further exploration is needed regarding the methods and technologies required, the potential application fields, and the broader societal and economic impacts. This requires expertise from researchers across disciplines, bringing diverse perspectives and methodological approaches to better understand the opportunities and transformative power of data science.

 We warmly invite submission of papers approaching these topics from medical, technological, economic, ecological, political, or societal perspectives.