2nd International Winter School on Big Data

Bilbao, Spain, February 8-12, 2016

Organized by

DeustoTech, University of Deusto
Rovira i Virgili University

  • Registration closed

We thank Wikimedia commons for the photos.

Aims

BigDat 2016 will be a research training event for graduates and postgraduates in the first steps of their academic career. With a global scope, it aims at updating them about the most recent advances in the critical and fast developing area of big data, which covers a large spectrum of current exciting research and industrial innovation with an extraordinary potential for a huge impact on scientific discoveries, medicine, engineering, business models, and society itself. Renowned academics and industry pioneers will lecture and share their views with the audience.

Most big data subareas will be displayed, namely: foundations, infrastructure, management, search and mining, security and privacy, and applications. Main challenges of analytics, management and storage of big data will be identified through 4 keynote lectures, 18 six-hour courses, and one round table, which will tackle the most active and promising topics. The organizers believe outstanding speakers will attract the brightest and most motivated students. Interaction will be a main component of the event. An open session will give participants the opportunity to present their own work in progress in 5 minutes.

Addressed to

Graduate and postgraduates from around the world. There are no formal pre-requisites in terms of academic degrees. However, since there will be differences in the course levels, specific knowledge background may be assumed for some of them. BigDat 2016 is also appropriate for more senior people who want to keep themselves updated on recent developments and future trends. All will surely find it fruitful to listen and discuss with major researchers, industry leaders and innovators.

Regime

In addition to keynotes, at least 2 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they will be willing to attend as well as to move from one to another.

Venue

BigDat 2016 will take place in Bilbao, famous for its gastronomy and the seat of the Guggenheim Museum. The venue will be:

DeustoTech, School of Engineering
University of Deusto
Avda. Universidades, 24
48014 Bilbao, Spain

Keynote Speakers

  • Nektarios Benekos (European Organization for Nuclear Research), Role of Computing and Software in Particle Physics
  • Chih-Jen Lin (National Taiwan University), When and When Not to Use Distributed Machine Learning
  • Jeffrey Ullman (Stanford University), Theory of MapReduce Algorithms
  • Alexandre Vaniachine (Argonne National Laboratory), Big Data Technologies and Data Science Methods in the Higgs Boson Discovery
  • Professors and Courses

    Open Session

    An open session will collect 5-minute presentations of work in progress by participants. They should submit a half-page abstract containing title, authors, and summary of the research to adrian.dediu (at) urv.cat by February 5, 2016.

    Organizing Committee

    Registration

    The registration form can be found here.

    The selection of up to 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an approximation of the respective demand for each course.

    Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration facility disabled when the capacity of the venue will be complete. It is much recommended to register prior to the event.

    Deadlines and Fees

    Participants are expected to attend full-time. Fees are a flat rate covering the attendance to all courses during the week. There are several early registration deadlines. Fees depend on the registration deadline:

    Fees comprise access to all courses and lunches.

    Certificate

    Participants will be delivered a certificate of attendance.

    Questions and further information

    See contact information on the right-hand side of the page.

    Acknowledgements

    University of Deusto
    University of Deusto
    La universitat pública de Tarragona
    img urv. Tarragona