• Call for Papers: Discovery Science 2021

    From Nuno Moniz@21:1/5 to All on Tue Apr 20 03:12:11 2021
    The 24th International Conference on Discovery Science (DS 2021) http://ds2021.cs.dal.ca/
    Halifax, Canada, October, 11-13, 2021

    CALL FOR PAPERS ********************************************************************


    We hope that by October, the world will have returned to normality, and we
    can welcome you to Halifax. However, in case the COVID-19 risk persists and
    travelling is difficult, DS 2021 will take place either as a mixed event, offering both remote and on-site presentation options, or as a fully online
    event in the worst case. The accepted papers will still be published by Sp ringer, and the special issue will proceed as announced. In these challengi
    ng times that the whole of humanity is going through, we hope that all of y
    ou are safe and remain healthy.

    Important Dates

    Abstract submission: May 16, 2021

    Full paper submission: May 23, 2021

    Notification: July 20, 2021

    Camera-ready version, author registration: August 8, 2021

    Conference: October 11-13, 2021

    Scope and Topics

    The International Conference on Discovery Science provides an open forum fo
    r intensive discussions and exchange of new ideas among researchers working
    in Discovery Science. The conference focus is on the use of artificial int elligence methods in science. Its scope includes the development and analys
    is of methods for discovering scientific knowledge, coming from machine lea rning, data mining, intelligent data analysis, big data analytics, and thei
    r application in various domains.

    We invite submissions of research papers addressing all aspects of discover
    y science. We encourage papers that focus on the analysis of different type
    s of massive and complex data. This includes structured, spatio-temporal an
    d network data and heterogeneous, continuous or imprecise data. We also enc ourage papers in computational scientific discovery, mining scientific data
    , computational creativity and discovery informatics. We welcome papers add ressing artificial intelligence applications in different domains of scienc
    e, including biomedicine and life sciences, materials science, astronomy, p hysics, chemistry, and social sciences.

    Possible topics include, but are not limited to:

    * Artificial intelligence (machine learning, knowledge representation and r easoning, natural language processing, statistical methods, etc.) applied t
    o science
    * Machine learning: supervised learning (including ranking, multi-target pr ediction and structured prediction), unsupervised learning, semi-supervised
    learning, active learning, reinforcement learning, online learning, transf
    er learning, etc.
    * Knowledge discovery and data mining
    * Causal modelling
    * AutoML, meta-learning, planning to learn
    * Machine learning and high-performance computing, grid and cloud computing

    * Literature-based discovery
    * Ontologies for science, including the representation and annotation of da tasets and domain knowledge
    * Explainable AI, interpretability of machine learning and deep learning mo dels
    * Discovery and analysis of process models
    * Computational creativity
    * Anomaly detection and outlier detection
    * Data streams, evolving data, change detection, concept drift, model maint enance
    * Network analysis
    * Time-series analysis
    * Learning from complex data
    + Graphs, networks, linked and relational data
    + Spatial, temporal and spatiotemporal data
    + Unstructured data, including textual and web data
    + Multimedia data
    * Data and knowledge visualization
    * Human-machine interaction for knowledge discovery and management
    * Evaluation of models and predictions in a discovery setting
    * Applications of the above techniques in scientific domains, such as
    + Physical sciences (e.g., materials sciences, particle physics)
    + Life sciences (e.g., systems biology/systems medicine)
    + Environmental sciences
    + Natural and social sciences

    Submission Guidelines

    Papers must be written in English and formatted according to the Springer L
    NCS guidelines. Authors should consult Springer’s authors’
    instructions (ftp://ftp.springernature.com/cs-proceeding/svproc/guidelines/ Springer_Instructions_for_Authors_of_Proceedings_CS.pdf ) and use their pro ceedings templates, either for LaTeX (ftp://ftp.springernature.com/cs-proce eding/llncs/llncs2e.zip) or for Word (ftp://ftp.springernature.com/cs-proce eding/llncs/word/splnproc1703.zip), for the preparation of their papers. Sp ringer’s proceedings LaTeX templates are also available in Overleaf
    (https://www.overleaf.com/latex/templates/springer-lecture-notes-in-comput er-science/kzwwpvhwnvfj#.WsdHOy5uZpg). Springer encourages authors to inclu
    de their ORCIDs in their papers. Guidelines are available at https://www.sp ringer.com/gp/computer-science/lncs/conference-proceedings-guidelines. Pape
    rs should be submitted in PDF form via the DS 2021 Online Submission System
    (EasyChair – URL will be announced soon). Once a paper has been su
    bmitted to the conference, changes to the author list are not permitted.

    Submitted papers should not exceed 15 pages (long papers) and 10 pages (sho
    rt ones) in total (including references). All submissions will be subject t
    o review by the DS 2021 Program Committee. The Program Committee reserves t
    he right to offer acceptance as Short Papers (10 pages in the Proceedings)
    to some Long Paper submissions. All accepted papers will appear in the conf erence proceedings published by Springer LNCS series and have allocated tim
    e for oral presentation at the conference.

    The reviews are single-blind. Authors do not need to anonymize their submis sion. Submitted papers may not have appeared in or be under consideration f
    or another workshop, conference or journal. They may not be under review or
    submitted to another forum during the DS 2021 review process.

    Authors of accepted papers will transfer their copyrights to Springer. The corresponding author of each paper, acting on behalf of all authors, must c omplete and sign a Consent-to-Publish form. The corresponding author signin
    g the copyright form should match the corresponding author marked on the pa per.

    Open access publication (against the payment of additional open access fees
    ) is possible. It should be specified when submitting the camera-ready copi
    es of the papers. Further information (including prices) is available at ht tps://www.springer.com/gp/computer-science/lncs/open-access-publishing-in-c omputer-proceedings. Springer requires the invoicing address and the CC-BY Consent-to-Publish forms together with the camera-ready copy files for publ ication.

    For a paper to appear in the proceedings, at least one of the authors must register for the conference by the camera-ready submission deadline and pre sent the paper at the conference.

    Special issue and Best Student Paper Award

    The authors of selected papers presented at DS 2021 will be invited to subm
    it extended versions for possible inclusion in a special issue of Machine L earning journal (published by Springer) on Discovery Science. Fast-track pr ocessing will be used to have them reviewed and published.

    There will be an award for the Best Student Paper in the value of 555 Eur s ponsored by Springer.


    Program Chairs
    * Carlos Soares, University of Porto, Portugal
    * Luis Torgo, Dalhousie University, Canada

    Steering Committee Chair
    * Saso Dzeroski, Jozef Stefan Institute, Ljubljana, Slovenia

    Local Organizing Committee
    * David Langstroth, Dalhousie University, Canada
    * Nuno Moniz, University of Porto, Portugal
    * Paula Branco, Ottawa University, Canada
    * Vitor Cerqueira, Dalhousie University, Canada
    * Yassine Baghoussi, University of Porto, Portugal ***********************************


    All questions about submissions should be emailed to the program chairs Car
    los Soares (csoares@fe.up.pt) or Luis Torgo (ltorgo@dal.ca) ***********************************

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