SDS2019 will have talks in 2 distinct streams of academic and business contributions. The accepted academic paper proceedings will be published in IEEE Xplore digital library. For businesses, talks having business impact and data-driven innovation concepts are invited and will be presented.

In addition, do not miss out on the opportunity to submit and present your best work and get the following awards during the conference.

    Best Paper Award - The programm committee will carefully evaluate the submitted papers according to their originality, contributions to the field, quality of presentation, and soundness of the science and will then select a paper for the best paper award that receives a cash price of CHF 1‘500. 
    Best Presentation Award - The best presentation will be elected through an online voting system that is available for the participants during the conference. Keynote speakers will not be eligible for the best presentation price, which is a cash price of CHF 1‘500.
    Best Reproducibility Award - This award recognizes the best papers in terms of reproducibility. The criteria include flexibility, coverage, and code replication as well as data availability of the research work. The recipient of this award receives a cash prize of CHF 1‘500.

The duration of each talk is 20 minutes + 5 mins Q&A + 5 mins for changing rooms. The duration of each roundtable session is 30 minutes, including the topic introduction (~5 minutes) of the topic leader and 5 mins for changing rooms.

Call for Papers - Academic Track (IEEE technically co-sponsored) 

Topics of interest

We invite submissions of original research papers related to all aspects of data science, especially best practice and use-case oriented research work with technical depth and practical applicability. We also highly welcome innovative demos, show-cases, and awesome data products. Topics of interest include (but are not limited to):

    artificial intelligence and autonomous machines
    big data mining and analytics
    data mining applications in healthcare, finance, and industry
    data ethics and society
    data integration, governance, and sharing
    data intelligence and security
    machine learning
    natural language processing and analysis
    predicitive modelling and analytics
    spatial data analysis
    techniques and tools for data science
    user interfaces and data visualization

Submission

    Full Paper – present high-quality research contributions, including experiment, analysis, or system papers, as well as descriptions of industrial and application results. Each submission can have up to 6 pages incl. references.
    Short Paper – present late-breaking results, work in progress, follow-up extensions, application case studies, or evaluations of existing methods. Each submission can have up to 2 pages incl. references.
    Roundtable Discussion – intimate, moderated group discussions of current topics important to the field of data science. The objective is to trade ideas and thoughts with other engaged individuals with similar interests and questions. Submissions can have up to 1 page and needs to contain an abstract, a description of the questions or pointers to the controversy of the topic, and a short biography. The duration of each session is 30 minutes, including topic introduction (~5 mins) of the topic leader.

All submissions must be original works that have not been published previously in any conference proceedings, magazine, journal, or edited book. Concurrent submissions are strictly forbidden. If it is determined that a manuscript is simultaneously under the consideration by another publication venue, the manuscript will be rejected. Submission of papers implies intention to register and present the related content at the conference. The academic program committee will carefully review the submissions. Excellent content and presentation as demonstrated in the submission are mandatory for acceptance. Accepted submissions will be presented in English by the authors at the conference. Proceedings papers presented at the conference will be submitted for inclusion in the IEEE Xplore digital library. All submissions must be formated by following the following the IEEE 8.5” x 11” two-column format.

Call for Participation - Business Track                      

Topics of interest

We invite submissions of talks related to all aspects of data science, especially best practice and use-case oriented work with technical depth and practical applicability. Topics of interest include (but are not limited to):

    business analytics
    data-driven business models
    data engineering and architecture
    data ethics and society
    machine learning
    natural language processing
    organization, collaboration, culture
    streaming and IoT
    user interfaces and data visualization

Submission

    Business Talk – presentation covering technological aspects, deployment and use of solutions in Data Science. Submissions should be in pdf format and have a maximum length of 2 pages and contain all of the following elements:
        a title
        an extended abstract of no more than 200 words and explaining the business imapact / innovation
        a description of the target audience
        an outline of the intended talk
        a short author biography
    Roundtable Discussion – intimate, moderated group discussions of current topics important to the field of data science. The objective is to trade ideas and thoughts with other engaged individuals with similar interests and questions. Submissions can have up to 1 page and needs to contain an abstract, a description of the questions or pointers to the controversy of the topic, and a short biography. The duration of each session is 30 minutes, including topic introduction (~5 mins) of the topic leader.

The Business Program Committee will carefully review the submissions. Excellent content demonstrating data-driven value creation, business impact and innovation in the submission are mandatory for acceptance. Accepted submissions will be presented in English by the authors at the conference.