University of Aalen

KES 2022


26th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES-2022)
7 – 9 September, 2022

Invited Session IS25:

Interdisciplinary Approaches in
Data Science and Digital Transformation Practice

General Information

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 welcome.


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 Science
  • 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 Data Science:

  • 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

Paper Submission and Publication

Papers will be refereed and accepted on the basis of their scientific merit and relevance to the workshop.

  • 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 here.
  • Papers to be considered for the conference must be submitted through the PROSE online submission and review system available here.

Session Chairs:

  • Ralf-Christian Härting, Hochschule Aalen, Germany
  • Ivan Luković, University of Belgrade, Serbia

Important Dates

  • Paper submission (extended): extended 25. April 2022
  • Acceptance notification: 20 May 2022
  • Final paper submission:  3 June 2022
  • Conference: 7 – 9 September, 2022

More information

Competence Center für betriebliche Informationssysteme im Mittelstand