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Invited Session on 
          Interdisciplinary Approaches in Data Science and Digital Transformation Practice (IADSDTP 2021)
URL: http://kes2021.kesinternational.org/cmsISdisplay.php (IS07)
Deadline for Paper submissions to: 02nd of April, 2021

Organized within the framework of the 
          25th International Conference on on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2021)

08 - 10 September, 2021
URL: http://kes2021.kesinternational.org/



One of the hot issues in many organization systems is how to transform large amounts of daily collected operational data into the useful 
knowledge from the perspective of declared company goals and expected business values. The main concerns of this invited session are Data 
Science (DS) and Digital Transformation (DT) paradigms, as a set of theories, methodologies, processes, architectures, and technologies 
that transform raw data into meaningful and useful information, knowledge, and value. Various interdisciplinary oriented DS and DT approaches 
may provide organizations the ability to use their data to improve quality of business, increase financial efficiency and operational 
effectiveness, conduct innovative research and satisfy regulatory requirements. Applications of appropriate DS and DS implementation 
methodologies together with outcomes related to collaborative and interdisciplinary approaches are inevitable when applying DT approaches to 
large and complex organization systems.  For many years, such interdisciplinary approaches were used in analyzing big data gathered from not 
only business sectors, but also public, non-profit, and government sectors.

The main goal of the session is to attract researchers from all over the world who will present their contributions, interdisciplinary 
approaches or case studies in the area of DS and DT. The focus in Data Science may be set to various aspects, such as: data warehousing, 
reporting, online analytical processing, data analytics, data mining, process mining, text mining, predictive analytics and prescriptive 
analytics, as well as various aspects of machine learning, big data and time series analysis. We express an interest in gathering scientists 
and practitioners interested in applying DS and DT approaches in public and government sectors, such as healthcare, education, or security 
services. However, experts from all sectors are welcomed.

Submissions are expected from, but not limited to the following topics:

* Artificial Intelligence, Machine Learning, Deep Learning – Theoretical and practical aspects
* Data privacy and security issues in DS and DT
* Data driven business models
* Organizational and human factors, skills and qualifications for approaches of DS and DT
* Specific topics of Data Science
  - Impacts of Business Analytics for the performance of profit or non-profit organisations
  - Statistical analysis and characterization, predictive analytics and prescriptive analytics
  - Process Mining, Pattern Mining, and Swarm Intelligence
  - Data quality assessment and improvement: preprocessing, cleaning, and missing data
  - Semi-structured or unstructured data in Business Intelligence systems
  - Data Science and Analytics for Healthcare and other Public Sectors
  - Educational Data Mining
  - Social network data analysis
  - Web survey methods in Business Intelligence and Data Science
  - Implications of Blockchain for Data Science
  - Information Visualization and Visual Analytics
* Specific topics of Digital Transformation  
  - Digitization and impacts for Digital Transformation
  - Dynamic Pricing: potentials and Digital Transformation Approaches
  - Cloud-computing models and scalability in Digital Transformation systems
  - Mobile BI, Smart Data, Smart Services, and Smart Products
  - Digital Marketing, new web services, sematic web and data analytics
  - Opportunities and Barriers of Agility on Digital Transformation
  - Digital Transformation as an enabler of Agility and Ambidexterity
  - New concepts of Agility in times of ongoing digitization
* Teaching new approaches of DS and DT in academic and industrial environments
* Theoretical and practical aspects, Applications and Industry Experience of DS and DT
* The new role of IT in enterprises


* Papers will be refereed and accepted on the basis of their scientific merit and relevance to the conference.
* The required full paper length is 8 to 10 pages. Call for papers and detailed information for the authors can be found at http://kes2021.kesinternational.org/submission.php. 
* Papers to be considered for the conference must be submitted through the PROSE online submission and review system available at http://kes2021.kesinternational.org/prose.php. 


* Paper submission:		23 April,2021
* Acceptance notification:	14 May, 2021
* Final paper submission:	28 May, 2021
* Conference:			08 - 10 September, 2021


* Ralf-Christian Härting, University of Aalen, Germany
* Ivan Lukovic, University of Novi Sad, Serbia