iDSC-2021: International Data Science Conference AIT Vienna Vienna, Austria, October 20-22, 2021 |
Conference website | http://www.idsc.at |
Submission deadline | June 20, 2021 |
The 4th International Data Science Conference (iDSC 2021) brings together researchers, scientists, and business experts to discuss means of establishing new ways of embracing agile approaches within the various domains of Data Science & Artificial Intelligence, Internet of Things (IoT), Industry & Production 4.0, including the dependability of systems, data mining, or visualization and communication as well as case studies and best-practices from leading research institutions and business companies.
Organizations have moved from the rigid structure of classical project management towards the adoption of agile approaches. This holds also true for software development projects, which need to be flexible to adopt to rapid requests of clients as well to reflect changes that are required due to architectural design decisions. In this context, Data Science has established itself as corner stone within organizations and businesses, with Artificial Intelligence (AI) becoming an ever-more important technique for the analysis of large datasets. A systematic measurement and analysis of various parameters, whether these consist of numeric, textual, or audio-visual information, is promising for the facilitation of a wide range of new applications. At the same time, the increasing connectivity demands for inherent security by design concepts and designs to ensure safety, security and reliability of these systems. Thus, it is now imperative to assure this evolution within an interactive approach towards an evolutionary step-by-step development to realize core essential business applications and use-cases.
We expect the iDSC 2021 to again be an exciting and informative platform for insights and exchange.
Submission Guidelines
Papers must be clearly presented in English language and must not exceed 6 pages, extended poster abstract must not exceed 2 pages, including tables, figures, references, and appendices. Submissions which are simultaneously submitted to this conference and other events or publication venues as well as submissions that do not utilize the correct formatting template, will be automatically rejected. Submissions will be selected based on their originality, timeliness, significance, relevance, and clarity of presentation. Submissions should be regarded as a commitment that, should the paper be accepted, at least one of the authors has to register and attend the conference to present the work. Accepted and presented papers will be included in the iDSC proceedings. Reviews are double-blind.
Regarding the preparation of submissions, please use either the provided Word or LaTeX template.
Attention: Please ensure that your submissions are ready for the double-blind review process and therefore do not contain any information, which could disclose the identity of the authors, such as author names, acknowledgements etc.
- Full papers (research)
List of Topics
interest include, but are not limited to
Artificial Intelligence
- Graph Convolutional Networks
- Generative Adversarial Networks
- Multi-modal Learning
- Federated Learning
- Edge Computing Machine Learning
- Natural Language Processing
Internet of Things (IoT)
- Security and Safety design methods
- Security verification
- Security analysis
- IoT lifecycle management
Industry and Production 4.0
- Business Analytics
- Predictive Maintenance
- Digital Twin
- Automated Quality Assurance
Committees
Program Committee
- Alexandra Posekany – Vienna University of Technology
- Alicia Manglano – FH Vorarlberg
- Andreas Unterweger – Salzburg University of Applied Sciences
- Andreas Weiler – Zurich University of Applied Sciences
- Arne Bathke – Salzburg University
- Christian Bauckhage – Fraunhofer IAIS
- David Anastasiu – Santa Clara University
- Elena Lloret Pastor – University of Alicante
- Eric Davis – University of Cincinnati
- Florina Piroi – Vienna University of Technology
- Gabriela Viale Pereira – Danube University Krems
- Gregor Eibl – Danube University Krems
- Gregor Kastner – WU Vienna University of Economics and Business
- Guenther Eibl – Salzburg University of Applied Sciences
- Helmut Leopold – AIT Austrian Institute of Technology
- Johannes Scholz – Graz University of Technology
- Karl Entacher – Salzburg University of Applied Sciences
- Kathrin Plankensteiner – FH Vorarlberg
- Klaus Frick – NTB Buchs
- Kröger Peer – Ludwig-Maximilians-Universität München
- Mario Drobics – AIT Austrian Institute of Technology
- Markus Breunig – Rosenheim University of Applied Sciences
- Michael Gadermayr – Salzburg University of Applied Sciences
- Michael Hellwig – FH Vorarlberg
- Michael Schreiner – NTB Buchs
- Peter Haber – Salzburg University of Applied Sciences
- Peter Reiter – FH Vorarlberg
- Pedro Albarrán – University of Alicante
- Robert Merz – FH Vorarlberg
- Ross King – AIT Austrian Institute of Technology
- Sebastian Hegenbart – FH Vorarlberg
- Siegfried Reich – Salzburg Research
- Simon Kranzer – Salzburg University of Applied Sciences
- Steffen Finck – FH Vorarlberg
- Süleyman Eken – Kocaeli University
- Thomas J. Lampoltshammer – Danube University Krems
- Willibald Krenn AIT Austrian Institute of Technology
Organizing committee
- Michael Mürling – AIT Austrian Institute of Technology
- Verena Serini – AIT Austrian Institute of Technology
Publication
iDSC-2021 proceedings will be published by Springer
Venue
The conference will be held in Austria Vienna at
AIT Austrian Institute of Technology
The AIT Austrian Institute of Technology is Austria’s largest non-university research institute. With its eight Centers, AIT regards itself as a highly specialised research and development partner for industry. AIT provides research and technological development to realize basic innovations for the next generation of infrastructure related technologies in the fields of Energy, Mobility Systems, Low-Emission Transport, Health & Bioresources, Digital Safety & Security, Vision, Automation & Control and Technology Experience. These technological research areas are supplemented by the competence in the area of Innovation Systems & Policy.
Contact
All questions about submissions should be emailed to office@idsc.at