The 5th IEEE International
Conference on Data Science
and Advanced Analytics

1–4 October 2018
Turin — Italy

Call for Tutorials

Important Dates

April 2018


Proposal submission

May 2018


Acceptance notification

IEEE DSAA Introduction

The IEEE International Conference on Data Science and Advanced Analytics (DSAA) aims to be the flagship annual meeting spanning the interdisciplinary field of Data Science. DSAA focuses on the science of data science, as well as the implications of the science for applications to industry, government, and society. From the science side, DSAA spans all of the component fields of data science, including statistics, probabilistic and mathematical modeling, machine learning, data mining and knowledge discovery, complexity science, network science, business analytics, data management, infrastructure and storage, retrieval and search, security, privacy and ethics. From the applications side, DSAA aims both to show researchers important problems and issues that are revealed by real applications, and to show practitioners and users how the science can be applied to realize value. DSAA is intended to reflect the interdisciplinary nature of data science and analytics, as an alternative to the highly specialized disciplinary conferences.

DSAA-2018 in Turin, Italy, is the 5th annual installment of the conference. This year brings the full collaboration of the American Statistical Association, to complement the IEEE Computational Intelligence Society and the ACM SIGKDD. This year DSAA also adds the support of the ISI Foundation, which has worked for 35 years to break down traditional silos in the sciences of complexity and data.

DSAA-2018 aims to provide a premier forum that brings together researchers, industry and government practitioners, as well as developers and users of big data business for exchange of ideas on the latest theoretical developments in Data Science as well as on the best practice for a wide range of applications.

DSAA Tutorials

We solicit proposals for tutorials at the 2018 IEEE International Conference on Data Science and Advanced Analytics (DSAA 2018), related either to the statistical and/or the computer science side of data science.

The tutorial proposal should be no more 5 pages in length (+1 cover sheet), single column, and fonts should be 11pt. Recommended duration of a tutorial is 2 hours.

Tutorial proposals should be submitted to the Tutorial Chairs at the following email address:

The lecture/tutorial proposal should include the following:

  • A cover sheet to each copy with the presenter’s name, affiliation, address, email, and phone (not counted in the 5 pages).
  • The proposed lecture/tutorial title.
  • An abstract.
  • Specific goals and objectives, and its main category (statistics/computer science/other).
  • A table of contents and enough detail to provide a sense of both the scope of material to be covered and the depth to which it will be covered.
  • A short description of the intended audience and any prerequisite knowledge for attendees.
  • For each organizer provide name, affiliation, country, email and a short biographical sketch, describing relevant qualifications and experience; identify at least one organizer as the contact person.
  • If (part of) the tutorial material or an earlier version of it has been presented elsewhere, the proposal should indicate those respective events (and dates), and describe how the current proposal differs from the previous editions (if at all).
  • Audio Visual equipment needs for the presentation.

We will consider all proposals for both introductory and advanced tutorials.

Each accepted tutorial will receive one free registration to DSAA 2018.
Presenters will be required to provide comprehensive lecture/tutorial slides one week before the event, which will then be published on the DSAA Web site and thus be made available to conference attendees free of charge. Accepted tutorials will be presented during the main DSAA conference as parallel sessions.

Tutorial Chairs

Richard De Veaux
Williams College

Gabriella Pasi
University of Milano-Bicocca


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