[AISWorld] ISD2024 Track 4: Data Science and Machine Learning

[Boris Delibašić]

Please find below the CfP for the Track 4: Data Science and Machine
Learning at ISD 2024  "Harnessing Opportunities: Reshaping ISD in the
post-COVID-19 and Generative AI Era"

August 26-28, 2024
Sopot/Gdańsk, Poland
University of Gdańsk
https://isd2024.ug.edu.pl/call-for-papers/tracks/#track_4

One of ever open issues in many organization systems and research centers
is how to transform large amounts of daily collected data into useful
knowledge from the perspective of declared goals and expected, tangible
values. One of the central roles in addressing this issue is still played
by modern information systems, providing a variety of intelligent services
for that purpose. The main concerns of this track are about utilizing Data
Science (DS), Machine Learning (ML), Artificial Intelligence (AI), Data
Mining (DM), Data Analytics (DA), and related paradigms, as a set of
theories, methodologies, processes, architectures, and technologies that
transform raw data into meaningful and useful information, knowledge, and
value, and by this greatly support the information management process in
business or research organizations. Thus, various
interdisciplinary-oriented DS & ML approaches may provide organizations the
ability to use their data to improve the quality of business, provide
high-quality decision-making, increase financial efficiency and operational
effectiveness, conduct innovative research, or satisfy regulatory
requirements, in various business or research domains.

The main goal of this track is to address open questions and real potential
for various applications of modern approaches in DS & ML so as to develop
and implement effective software services in support of information
management in various organization systems. Nowadays, many information
systems are intended to provide various DS & ML services to describe,
analyze, cluster, classify, evaluate, predict, and visualize. We refer here
to the approaches that deploy DS & ML both over strongly and weakly
structured data (also including textual, image, time-series, or multimedia
data), and by this, we do not exclude computer vision or natural language
processing approaches.

On the other hand, information system development/management is
increasingly benefiting from advances in DS & ML. There is a wide room for
providing robust DS & ML approaches in software engineering and information
system development, in order to analyze and evaluate complex software,
software processes, or software configurations. Various DS & ML approaches
with repository mining can enable targeted insights and powerful
predictions for software quality, software development, and software
project management, to provide. Nowadays, such approaches are inevitable in
large software companies to come to a successful software process that is
more reliable, more effective, faster, and of a lower cost.

Track topics include (but are not strictly limited to):

DS & ML – Theoretical and Practical Aspects
DS & ML – Applications in Various Problem and Research Domains
DS & ML for Business Analytics and Decision Making
DS & ML for Customer Support and Service Management
DS & ML for Quantitative Finances and Operations
DS & ML for Quality Management and Standardization
DS & ML for Business Process Automation
DS & ML for Project Management
DS & ML for Software Development and Testing
DS & ML for IT Operations and for Managing IT Infrastructures
DS & ML for Fraud Detection
DS & ML for Information Systems
DS & ML for Health and Bioinformatics

Important Dates:
- Paper Submission: April 16, 2024
- Author Notification June: 4, 2024
- Final Paper Submission and Author Registration: June 30, 2024

Conference fees

The registration fee for presenting authors is 500 EUR, with a 100 EUR
discount for active AIS members and students. Discounts apply for
additional papers and non-presenting participants. The registration fee
includes lunch, coffee breaks, welcome reception and a gala dinner.

Publication

The ISD Proceedings will be published in the Association for Information
Systems (AIS) eLibrary. On top of that, Springer will publish a selection
of the best papers (by invitation) as a separate volume of the Lecture
Notes in Information Systems and Organization (LNISO) series. The
proceedings will be submitted for indexation by Scopus, Google Scholar,
DBLP, Semantic Scholar, and Web of Science / Conference Proceedings
Citation Index. The present registry of conferences maintained by Polish
Ministry of Education and Science assigns 140 points to ISD publications.

Track Chairs
Ivan Luković, University of Belgrade, Faculty of Organizational Sciences,
Serbia
Boris Delibašić, University of Belgrade, Faculty of Organizational
Sciences, Serbia