The Novel Trends in Data Science 2023 workshop (https://ntds23.dmi.unibas.ch will be held at the beautiful conference center at Monte Verità in Ticino, Switzerland, from October 22-25, 2023. It aims to bring together researchers from mathematics and computer science and related fields to discuss and showcase the latest advancements in Data Science across the entire data analytics pipeline – from data management, integration, and curation, to mathematical/ statistical data analysis and machine learning. We also solicit contributions reporting on innovative applications in Data Science.

Submission Guidelines

Please submit your extended abstracts (2 pages) in PDF format through the EasyChair submission system at the following link:https://easychair.org/conferences/?conf=ntds23. All submissions will be peer-reviewed by the program committee based on their originality, technical soundness, and relevance to the workshop's scope. The extended abstracts should be written in English and follow the CEUR-ART format (also available as Overleaf template).

Authors of accepted papers are invited to submit an extended version of their contribution after the workshop. It is planned to publish the post-proceedings of NTDS 2023 open access as CEUR workshop proceedings.

List of Topics

We welcome extended abstracts of up to two pages in length, including figures and references, on original and unpublished research related to the following areas:

• Data Analytics systems: Data management, integration, and curation, high performance computing, distributed systems
• Mathematical and statistical data analysis
• Mathematical principles of Deep Learning
• Machine learning
• Applications in Data Science

Possible topics for the extended abstracts include, but are not limited to:

• Systems support for data science, such as novel approaches for data cleaning, integration, data management and retrieval, parallel computing, networking
• Mathematics foundations of data science
• Advanced statistical models for data analysis
• Deep learning and its applications in various domains
• Theory approach to understanding deep neural networks of practical relevance
• Interactive visualization techniques for exploring and analyzing large-scale datasets
• Real-world applications of data science
• Privacy and security for data science
• Ethical and social implications of data science

The workshop will feature invited talks by leading researchers in the field, as well as oral and poster presentations of selected extended abstracts. Participants will have the opportunity to discuss their work with experts and peers, and to exchange ideas and experiences on novel trends in data science.

Committees

Program Committee (to be completed)

• Florina Ciorba, University of Basel
• Gianluca Crippa, University of Basel
• Marcus Grote, University of Basel
• Helmut Harbrecht, University of Basel
• Malte Helmert, University of Basel
• Enno Lenzmann, University of Basel
• Aurélien Lucchi, University of Basel
• Giusi Moffa, University of Basel
• Christian Tschudin, University of Basel
• Isabel Wagner, University of Basel

Organizing committee

• Jiří Černý, University of Basel
• Ivan Dokmanić, University of Basel
• Sonali Parbhoo, Imperial College, London
• Volker Roth, University of Basel
• Heiko Schuldt, University of Basel
• Julia Vogt, ETH Zürich

Important Dates

• Submission Deadline: August 31, 2023
• Notification of Acceptance: September 15, 2023
• Camera-Ready Papers Due: September 22, 2023
• Workshop Date: October 22 - October 25, 2023

Venue

The Novel Trends in Data Science 2023 workshop will be held at the beautiful conference center Congressi Stefano Franscini at Monte Verità in Ticino, Switzerland. The conference center is near the picturesque city centre of Ascona. Directions to reach the CSF via publica transportation can be found here.

The CSF also provides accommodation for the workshop participants. Rooms can be booked after the notification deadline on the CSF websile (link will follow).

Contact

All questions about submissions should be emailed to https://ntds23.dmi.unibas.ch