CFP

IDC 2023: Intelligent Digitalization Conference 2023

Reutlingen University, Herman Hollerith Center

Boeblingen, Germany, July 3, 2023

Conference website	https://easychair.org/cfp/IDC2023
Submission link	https://easychair.org/conferences/?conf=idc2023
Notification of Acceptance	January 7, 2023
Abstract registration deadline	April 10, 2023
Submission deadline	May 10, 2023

Call for Papers

IDC 2023 Intelligent Digitalization Conference

Aim

Digital transformation is reshaping many organizations through the influence of artificial intelligence (AI) and other forward-looking digital technologies that are profoundly changing existing organizations and economies. The core of intelligent digitalization offers new perspectives for highly automated intelligent systems, services, products, and applications, as well as their human-centric context, right up to entire affected economies and societies. The potential of AI and cognition combined with intelligent data analytics for the next stage of digitalization in areas such as machine learning, natural language processing, generative AI, computer vision, and augmented reality enhances digital innovation and provides essential guidance for smart digital strategies, advanced stakeholder focused business models and digital architectures that provide the foundation for improved value propositions and real innovation.

Scope

We invite research- and practice-based contributions to the Intelligent Digitalization Conference (IDC). The following topics define the conference scope, although other associated subjects may be applicable.

Topics

Digital Business and Architecture

Business Modelling and Methods
Digital Products, Services, Digital Systems
Digitalization and Business Processes
Digital Platforms and Intelligent Ecosystems
Digital Business Services
Digital Innovation and Transformation
Enhanced Value Perspectives
Digital Society and the Human-Centric Context

Data Analytics and Business Intelligence

Data Analytics
Machine Learning for Data Analytics
Business Intelligence
Intelligent Performance and Thread Management
KPI Analytics
Tools for Data Analytics

Artificial Intelligence and Cognition

Machine Learning and Deep Learning
Symbolic AI
AI Algorithms
Intelligent Cloud Services
Federated Machine Learning
Intelligent Interaction
Transparency Systems
Explainable AI
User Models
Recommendation Engines
Chat Systems

Intelligent Products and Services

Digital Product Engineering
Intelligent APIs
Industry 4.0
Digital Twins
Cybersecurity Systems
Applications and Use Cases
Smart Home
Internet of Things

Submission Guidelines and Review Process

The scientific paper should not exceed 8 pages and be formatted according to the instructions of Springer: https://www.springer.com/us/authors-editors/conference-proceedings/conference-proceedings-guidelines

Authors are invited to submit original, unpublished papers that are not under review for another conference, workshop, or journal by the time of submission. The contributors should address one or more research areas included above.

Submission Page: https://easychair.org/my/conference?conf=idc2023

Submitted papers will undergo a double-blind peer review by at least two members of the program committee. Prior to submission, please ensure that you have removed any information from your paper that could identify the authors. The paper’s acceptance is based on the following criteria: novelty, technical soundness, practical or theoretical impact, clarity, and presentation. At least one author per paper submission is required to register for the conference and to present the paper.

Organization

Chair: Alfred Zimmermann, Herman Hollerith Center Böblingen

alfred.zimmermann@reutlingen-university.de

Program Committee

Scheruza Aref, Reutlingen University

Cengizhan Gündüzeri, Reutlingen University

Liya Haile, Reutlingen University

Luam Haile, Reutlingen University

Paul Kern, Reutlingen University

René Kokoschka, Reutlingen University

Maurice Neidhart, Reutlingen University

Bryan Yankson, Reutlingen University

Burak Sakir Yavuz, Reutlingen University

Alfred Zimmermann, Reutlingen University