CFP for Applications Track

The DSAA’2023 Applications Track solicits high-quality, original papers presenting applications and best practices of Data Science and Advanced Analytics across various disciplines and domains, including business, government, health and medical science, physical sciences, and social sciences.

Submissions are expected to address problems on real-life data and the results can ideally be reproducible through a public git repository. Furthermore, submitted papers are expected to provide interesting, insightful results to policy-makers, end-users, or practitioners of Data Science and Advanced Analytics or to highlight new challenges for researchers motivated by the specific needs and characteristics of application areas.

Topics of interests include but are not limited to:

  • Domain-specific data science and analytics practice, including business analytics, health/medical analytics, financial analytics, environmental analytics and analytics in scientific domains such as physics, astronomy, chemistry, biology and material science
  • Government analytics and enterprise analytics
  • Cloud, crowd, online, mobile and distributed data analytics
  • Business, economic, environmental, social impact modeling
  • Real-world applications, case studies and demonstrations
  • Operationalizable infrastructures, platforms, and tools
  • Deployment, management and policy-making
  • Ethics, social issues, privacy, trust, fairness and bias
  • Reflections and lessons for better data/analytics practices

Submissions for the DSAA’2023 Applications Track should very clearly specify the problem being solved, what methodologies were used to solve the problem, what data was used, how the results were evaluated, and how the solution is being used (ideally in production). Applying new data science methods to public data or data downloaded from competition sites (such as Kaggle), without a real problem (and problem owner) will not be accepted in this track.

  • Paper submission: May 2, 2023 May 22, 2023
  • Paper Notification: July 24, 2023
  • Paper Camera-ready: August 21, 2023

All papers should be submitted electronically via EasyChair (under the “Applications” Track).

The length of each paper submitted to the Application tracks should be no more than ten (10) pages and should be formatted following the standard 2-column U.S. letter style of IEEE Conference template. For further information and instructions, see the IEEE Proceedings Author Guidelines.

All submissions will be blind reviewed by the Program Committee on the basis of technical quality, relevance to the conference’s topics of interest, originality, significance, and clarity. Author names and affiliations must not appear in the submissions, and bibliographic references must be adjusted to preserve author anonymity. Submissions failing to comply with paper formatting and authors anonymity will be rejected without reviews.

Because of the double-blind review process, non-anonymous papers that have been issued as technical reports or similar cannot be considered for DSAA’2023. An exception to this rule applies to arXiv papers that were published in arXiv at least a month prior to DSAA’2023 submission deadline. Authors can submit these arXiv papers to DSAA provided that the submitted paper’s title and abstract are different from the one appearing in arXiv.

All accepted poster papers will be published by IEEE in the DSAA main conference proceedings under the Industry and Student Poster schemes. All accepted poster papers will be submitted for inclusion in the IEEE Xplore Digital Library. The conference proceedings will be submitted for EI indexing through INSPEC by IEEE.

  1. Reproducibility & supplementary: The advancement of data science depends heavily on reproducibility. We strongly recommend that the authors release their code and data to the public. Authors can provide an optional two (2) page supplement at the end of their submitted paper (it needs to be in the same PDF file and start at page 3). This supplement can only be used to include (i) information necessary for reproducing the experimental results reported in the paper (e.g., various algorithmic and model parameters and configurations, hyper-parameter search spaces, details related to dataset filtering and train/test splits, software versions, detailed hardware configuration, etc.), and (ii) any data, pseudo-code and proofs that due to space limitations, could not be included in the main manuscript.
  2. Authorship: The list of authors at the time of submission is final and cannot be changed.
  3. Dual submissions: DSAA is an archival publication venue as such submissions that have been previously published, accepted, or are currently under-review at peer-review publication venues (i.e., journals, conferences, workshops with published proceedings, etc.) are not permitted. DSAA has a strict no dual submission policy.
  4. Conflicts of interest (COI): COIs must be declared at the time of submission. COIs include employment at the same institution at the time of submission or in the past three years, collaborations during the past three years, advisor/advisee relationships, plus family and close friends. Program chairs and Industry Poster chairs are not allowed to submit papers to the Industry Poster track.
  5. Attendance: At least one author of each accepted poster paper must register in full and attend the conference to present the poster. No-show posters will be removed from the IEEE Xplore proceedings.
  6. AI Generated Text: The use of artificial intelligence (AI)–generated text in an article shall be disclosed in the acknowledgements section of any paper submitted to an IEEE Conference or Periodical. The sections of the paper that use AIgenerated text shall have a citation to the AI system used to generate the text.

General enquiries about Applications Track paper submissions should be submitted to Track Chairs.

  • Minos Garofalakis, Technical University of Crete, Greece (minos at softnet dot tuc dot gr)
  • Takashi Washio, Osaka University, Japan (Washio at ar dot sanken dot osaka-u dot ac dot jp)
  • Toshiyuki Amagasa, University of Tsukuba
  • Bernd Amann, Sorbonne University
  • Xiang Ao, Chinese Academy of Sciences
  • Paulo Azevedo, University of Minho
  • Nicolas Baskiotis, Sorbonne University
  • Michelangelo Ceci, University of Bari
  • Harry Kai-Ho Chan, University of Sheffield
  • Philip Chan, Florida Institute of Technology
  • Ricardo da Silva Torres, Wageningen University and Research
  • Bing Tian Dai, Singapore Management University
  • Francisco De A. T. De Carvalho, Federal University of Pernambuco
  • Josep Domingo-Ferrer, University of Rovira i Virgili
  • Paolo Garza, Polytechnic University of Turin
  • Lilia Georgieva, Heriot-Watt University
  • Nikos Giatrakos, Technical University of Crete
  • Mohad-Saïd Hacid, University of Lyon 1
  • Geoffrey Holmes, University of Waikato
  • Dino Ienco, IRSTEA
  • Ekaterini Ioannou, University of Tilburg
  • Sanjay Jain, National University of Singapore
  • Toshihiro Kamishima, National Institute of Advanced Industrial Science and Technology
  • Amine Khaldi, Kasdi Merbah University of Ouargla
  • Ioannis Konstantinou, University of Thessaly
  • Pedro Larranaga, University of Madrid
  • Josep Lluís Larriba-Pey, Technical University of Catalonia
  • Dominique Laurent, Cergy-Pontoise University
  • Anne Laurent, University of Montpellier
  • Carson Leung, University of Manitoba
  • Hao Liao, Shenzhen University
  • Arun Maiya, Institute for Defense Analyses
  • Florent Masseglia, INRIA
  • João Mendes Moreira, INESCTEC
  • Yang-Sae Moon, Kangwon National University
  • M. Saqib Nawaz, Shenzhen Univeristy
  • Duc-Dung Nguyen, Vietnam Academy of Science and Technology
  • Tadashi Nomoto, National Institute of Japanese Literature
  • George Papastefanatos, ATHENA Research Centerr
  • Adriano Rivolli, Federal University of Technology – Paraná
  • Michael Shekelyan, King’s College London
  • Myra Spiliopoulou, Otto-von-Guericke-University Magdeburg
  • Yannis Stavrakas, ATHENA Research Center
  • Acar Tamersoy, NortonLifeLock Research Group
  • Bo Tang, Southern University of Science and Technology
  • David Taniar, Monash University
  • Abdullah Uz Tansel, City University of New York
  • Manolis Terrovitis, ATHENA Research Center
  • Alicia Troncoso, Pablo de Olavide University Sevilla
  • Vasilis Vassalos, Athens University of Economics and Business
  • Bruno Veloso, Universidade Portucalense
  • Thanasis Vergoulis, ATHENA Research Center
  • Shengrui Wang, University of Sherbrooke
  • Wei-Chang Yeh, National Tsing-Hua University
  • Tianlin Zhang, University of Manchester
  • Min-Ling Zhang, Southeast University
  • Xiang Zhao, National University of Defense Technology
  • Xi Zheng, Macquarie University