DATUM ’23 aims to bring together researchers, practitioners, and stakeholders within academia and industry who are at the edge of social innovation, personal informatics, and ubiquitous computing, with the goals of fostering dissemination, increasing interdisciplinary knowledge sharing, and strengthening and advancing research on data analytics and related applications on personal and ubiquitous computing.

This is a joint call for the Research and Industry Tracks.

In the research track, we welcome research articles in all fields of ubiquitous computing. Following in the footsteps of EDBT and ICDT, we are looking for high-quality papers in terms of novelty, technical excellence, potential impact, and presentation clarity. Papers should demonstrate that they make a substantial contribution to the field.

In the industry track, we seek articles that highlight unique applications of ubiquitous computing in real-world settings, bridging the gap between theory and practice. Papers should explicitly describe the real-world difficulty being addressed (including any idiosyncrasies of the data, such as data set size, noise levels, sample rates, and so on), the methodology employed, and the conclusions derived for the use case.

In the poster track, we seek articles that present work in progress or initial breaking results in all fields of ubiquitous computing. Posters offer the opportunity to present research work in progress to experts and receive valuable feedback. The session encourages networking and discussion among peers, which may lead to possible collaborative efforts.

Capturing, mining, understanding, and being able to predict dynamic behaviors from personal and ubiquitous computing data is interesting for several areas such as physical and mental health, productivity and workplace wellbeing, lifestyle and entertainment, privacy and security, and behavioral interventions. To address the above-mentioned aspects, we solicit papers from the following topics (by no means exhaustive):

• Theoretical foundations on personal and ubiquitous computing
• Ubiquitous data management and analytics for personal informatics
• Ubiquitous dataset contributions
• Methodologies, models, algorithms, and architectures for understanding user behavior from ubiquitous data
• Deep learning models and next-generation sequencing data analysis
• Federated and Decentralized Learning for ubiquitous computing
• Personalization and recommendation techniques for personal informatics
• Big Data frameworks and architectures for real-time ubiquitous data analytics
• Human-computer interaction design of ubiquitous systems for personal informatics
• Multi-faceted evaluation of ubiquitous systems for personal informatics
• Behavioral interventions involving personal and ubiquitous computing
• Exploratory data analysis and visualizations for personal and ubiquitous data
• Privacy-aware access and usage control for sensitive data
• Privacy and security policies enforcement mechanisms in ubiquitous computing
• Fairness and ethical considerations

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. 

Papers should be prepared in English and structured in accordance with the  CEUR-ART style template with a 2-column format. Author instructions are available in the official CEUR site. Style files are available in LaTex (Overleaf) and .docx formats. The font size, margins, inter-column spacing, and line spacing in the templates must be kept unchanged.

In the research and industry tracks, we solicit both long and short papers. In this format, long papers should have 10-12 pages (with references), and short papers should have 5-8 pages (with references). 

In the poster track, papers should not exceed 3 pages (with references).

Papers that are too long or too short will be rejected without consideration.

Single-blind Reviewing Process

EDBT/ICDT 2023 is single-blind, and thus authors must include their names and affiliations in submissions. All submitted papers will be reviewed by at least two independent reviewers. 

The paper reviewers are knowledgeable researchers, scientists, and industry stakeholders working in the personal and ubiquitous computing field. The reviewers will evaluate the paper’s strength based on clearly defined criteria. 

Conference Attendance

At least one author from each accepted article must attend the conference and present the paper. Please make your travel plans as soon as possible and be aware of any possible immigration procedures (e.g., visa).

Proceedings

The proceedings of the workshop will be published online as a volume of the CEUR Workshop Proceedings, a well-known website for publishing workshop proceedings. It is indexed by the major publication portals, such as DBLP, Citeseer, and Google Scholar.

Conflicts of Interest

At the time of submission, authors will be asked to disclose information on conflicts that might influence the judgment of the manuscript. The authors and reviewers should not have any financial or personal relationship to avoid inappropriate bias. 

Committees

Program Committee - Co-Chairs

• Athena Vakali, Aristotle University of Thessaloniki, Greece
• Sarunas Girdzijauskas, KTH Royal Institute of Technology, Sweden
• George Pallis, University of Cyprus, Cyprus

Program Committee

• Marios Dikaiakos, University of Cyprus
• Dimitris Spathis, Bell Labs
• Eiko Yoneki, University of Cambridge
• Christos Nicolaides, University of Cyprus
• Elena Ferrari, University of Insubria
• Barbara Carminatti, University of Insubria
• Evangelos Markatos, Foundation for Research & Technology-Hellas
• Dimitris Doukas, Net2Grid, SME, NL
• Ernestina Menasalvas, Universidad Politécnica de Madrid
• George Eleftherakis Computer Science at Penn State University
• Hakim Hacid, Technology Innovation Institute
• Georgia Koutrika, Athena Research Center

Program Committee

• Sofia Yfantidou, Aristotle University of Thessaloniki
• Christina Karagianni, Aristotle University of Thessaloniki
• Stelios Karamanlidis, Aristotle University of Thessaloniki

Contact

All questions about submissions should be emailed to datum23@csd.auth.gr.