The 2nd IEEE Data Science Workshop (DSW 2019)

June 2-5, 2019

Minneapolis, MN, USA

Call for Papers

Following the success of the first edition of the IEEE Data Science Workshop, we are pleased to announce the second workshop in this series. DSW 2019 will be held at Minneapolis, MN, USA, and will feature a number of plenary talks from the world’s leading researchers in the area, special focus sessions, and contributed papers. All papers will undergo peer review in order to provide feedback to the authors and ensure a high-quality program.

Topics of Interest

  • 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.
  • Learning, modeling, and inference with data
    • High-dimensional spatio-temporal modeling. Graph signal processing. 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.
  • 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.
  • 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. Algorithmic fairness. Bias in science.
  • 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.

Call for Papers:  [Download PDF]

Important Dates

  • Submission of Proposals for Special Sessions: December 14, 2018
  • Notification of Special Session Acceptance: December 21, 2018
  • Submission of Papers: February 8, 2019
  • Notification of Paper Acceptance: March 15, 2019
  • Final Paper Submission: April 2, 2019

Submission of Papers: Prospective authors are invited to submit original full-length papers, with up to four pages for technical content including figures and references, using the formatting guidelines on the website for reviewing purposes. All accepted papers must be presented at the workshop to appear in the proceedings.

Best student paper awards, selected by a DSW committee, will also be presented at the workshop.

Organizing Committee

General Chairs

  • Georgios B. Giannakis
    University of Minnesota,
  • Geert Leus
    TU Delft,
  • Antonio G. Marques
    King Juan Carlos University,

Honorary Chair

  • Mostafa Kaveh
    University of Minnesota,

Technical Chairs

  • George Karypis
    University of Minnesota,
  • George Michailidis
    University of Florida,
  • Rebecca Willett
    University of Chicago,

Keynotes and Tutorials Chairs

  • Alfred O. Hero, III
    University of Michigan,
  • Wotao Yin
    University of California, Los Angeles,

Special Sessions Chairs

  • Olgica Milenkovic
    University of Illinois,
  • Hao Zhu
    University of Texas at Austin,

Publicity and Publications Chairs

  • Waheed U. Bajwa
    Rutgers University,
  • Santiago Segarra
    Rice University,

Finance Chair

  • Gonzalo Mateos
    University of Rochester,

Local Arrangements Chairs

  • Jarvis Haupt
    University of Minnesota,
  • Gilad Lerman
    University of Minnesota,

Paper Awards Chair

  • Yuejie Chi
    Carnegie Mellon University,
  • Alle-Jan van der Veen
    TU Delft,

Industry Liaisons and Datathon Chairs

  • Michael Rabbat
  • Dorina Thanou
    Swiss Data Science Center, EPFL/ETHZ,

Government Liaisons

  • Phillip A. Regalia
    National Science Foundation,
  • Ananthram Swami
    US Army Research Laboratory,