[hpc-announce] CALL FOR PAPERS,,5th Workshop on Data Science in Health, Ecology and Commerce (DSH’23); Web of Science; IEEE: #57573

[Marcin Paprzycki]

CALL FOR PAPERS

5th Workshop on Data Science in Health, Ecology and Commerce (DSH’23)

Warsaw, Poland, 17–20 September, 2023
https://fedcsis.org/sessions/itbs/dsh

Organized within FedCSIS 2023 (IEEE: #57573)
Strict submission deadline: May 23, 2023, 23:59:59 AOE (no extensions)

KEY FACTS: Proceedings: submitted to IEEE Digital Library; indexing: 
DBLP, Scopus and Web of Science; 70 punktów parametrycznych MEiN

Please feel free to forward this announcement to your colleagues and 
associates who could be interested in it.

********************* Statement concerning LLMs *********************

Recognizing developing issue that affects all academic disciplines, we 
would like to state that, in principle, papers that include text 
generated from a large-scale language model (LLM) are prohibited, unless 
the produced text is used within the experimental part of the work.

*********************************************************************


Data Science in Health, Ecology and Commerce is a forum on all forms of 
data analysis, data economics, information systems and data based 
research, focusing on the interaction of those three fields. Here, 
data-driven solutions can be generated by understanding complex 
real-world (health) related problems, critical thinking and analytics to 
derive knowledge from (big) data. The past years have shown a 
forthcoming interest on innovative data technology and analytics 
solutions that link and utilize large amounts of data across individual 
digital ecosystems. First applications scenarios in the field of health, 
smart cities or agriculture 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.

This is a joint track by WIG2, the Scientific Institute for health 
economics and health service research, the Information Systems Institute 
of Leipzig University and the Helmholtz Center for Environmental Research.


Topics

We embrace a rich array of issues on data science and offer a platform 
for research from diverse methodological directions, including 
quantitative empirical research as well as qualitative contributions. We 
welcome research from a medical, technological, economic, political and 
societal perspective. The topics of interest therefore include but are 
not limited to:

+    Data analysis in health, ecology and commerce
+    Data analysis in climate change adoptation
+    Data analysis in commerce
+    (Health) Data management
+    Health economics
+    5G(/6G) in health
+    Data economics
+    Data integration
+    Semantic data analysis
+    AI based data analysis
+    Data based health service research
+    Smart Service Engineering
+    Integrating data in integrated care
+    AI in integrated care
+    Spatial health economics
+    Risk adjustment and Predictive modelling
+    Privacy in data science



Submission rules:

-    Authors should submit their papers as Postscript, PDF or MSWord files.
-    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 submitted for indexation according 
to information here.
-    Organizers reserve right to move accepted papers between FedCSIS 
technical sessions.



Important dates:

+ Paper submission (strict deadline): May 23, 2023, 23:59:59 (AoE; there 
will be no extension)
+ Position paper submission: June 7, 2023
+ Author notification: July 11, 2023
+ Final paper submission and registration: July 31, 2023
+ Payment (early fee deadline): July 26, 2023

DSH Committee: https://fedcsis.org/sessions/itbs/dsh/committee