Content Gazette - January 2018 - 27

IEEE Data Science Workshop

Call for papers

June 4-6, 2018 - EPFL, Lausanne, Switzerland

he 2018 IEEE Data Science Workshop is a new workshop that
aims to bring together researchers in academia and industry to
share the most recent and exciting advances in data science theory and applications. In particular, the event will gather researchers
and practitioners in various academic disciplines of data science, including signal processing, statistics, machine learning, data mining
and computer science, along with experts in academic and industrial
domains, such as personalized health and medicine, earth and environmental science, applied physics, finance and economics, intelligent PAPER SUBMISSION
Papers should be at most four pages long
manufacturing.
in double-column format. Information regarding the submission process is avai-

The scientific program will include invited plenary talks, as well as re- lable on the workshop website.
gular oral and poster sessions with contributed research papers, and
data challenge sessions. Papers are solicited in (but not limited to) the SPECIAL SESSIONS
Special session proposals can be subfollowing topics:
* Computational models and representation for data science.
Tensor factorizations. Compressive sampling. Randomized linear
algebra. Graph simplifications and multiresolution representations. Transformations and spectral representations. Distributed
algorithms.
* Acquisition, storage, and retrieval for large-scale data
science. Hardware and architectures. Software and Cyberinfrastructure. Protocols for networked storage. Compression for
data storage. Sketching and streaming. Scaling up algorithms.
* Visualization, summarization, and analytics. Data presentation architectures and dashboards. Data visualization and human
perception / cognition. Business intelligence. Data wrangling.
* Learning, modeling, and inference with data. Graph signal
processing. High-dimensional spatio-temporal modeling. Theoretical limits. Anomaly detection. Graph learning. Statistical modeling of heterogeneous data types. Post-selection inference. Analysis of deep learning algorithms. Crowdsourcing. Stream mining.
Statistical uncertainty quantification.

mitted through the workshop web site.
They must include a topical title, session
outline, contact information of proposers,
and the list of invited papers and authors.
Special session authors are referred
to the workshop website for additional
information regarding the submission
process.

GRAND CHALLENGES

Exciting data challenges with real-world
impact will be communicated in time
before the workshop. The challenges will
be hosted by crowdAI.org and powered by
RENGA, the SDSC analytics platform for
collaborative open science.

AWARDS

Three types of awards are being set up:
Best Paper Award, Best Student Paper
Award and the Grand Challenges Award.
The selection criteria for these awards
include the scientific quality of the paper
and the presentation of the oral contribution or challenge presentation.

Technical Program Chairs
Antonio Ortega, USC, USA
Eric Kolaczyk, BU, USA

Keynote Speakers Chair
Philippe Cudré-Mauroux,
University of Fribourg,
Switzerland

Special Sessions Chair
Deepak Turaga,
IBM Research, USA

Grand Challenges Chair
Marcel Salathé, EPFL,
Switzerland

Finance Chair

Dorina Thanou, SDSC,
Switzerland

Publication Chair

Xiaowen Dong,
University of Oxford, UK

Local Arrangements
and Publicity Chair

Floriane Jacquemet, SDSC,
Switzerland

* Data science education. Innovative approaches to teaching
data science. Data-informed learning theory. Learning analytics.
* Data science process and principles. Reproducible research.
Open source data science. Workflow. Meta-analysis. Data science
ethics. Automation of data science via meta-learning. Algorithmic
fairness. Bias in science.

General Chairs

Olivier Verscheure, SDSC,
Switzerland
Pascal Frossard, EPFL,
Switzerland

IMPORTANT DATES
Deadline for special session proposals
December 15, 2017
Submission of full papers
February 9, 2018

* Applications. Social media, recommendation systems and collaborative filtering. Defense, intelligence and security. Biology and
medicine. Astronomy and other physical sciences. Audio, image,
video analytics and computer vision. Urban informatics. Social
sciences. Business analytics, forensics and finance. Applications
leveraging domain knowledge for data science.

CONTACT
contact@2018.ieeedatascience.org

2018.ieeedatascience.org

Notification of acceptance
April 6, 2018
Author advance registration
May 1, 2018
Camera-ready paper submission
May 1, 2018
SCHOOL OF ENGINEERING

SCHOOL OF COMPUTER
AND COMMUNICATION SCIENCES

www.signalprocessingsociety.org

[27]

JANUARY 2018

http://www.crowdAI.org http://2018.ieeedatascience.org http://www.signalprocessingsociety.org

Table of Contents for the Digital Edition of Content Gazette - January 2018