Key Dates


  • June 2, 2016
    Early Registration & Hotel Reservations Open
  • September 6, 2016
    Early Registration Deadline
  • September 7, 2016
    Regular Registration Opens
  • September 20, 2016
    Housing Deadline
  • October 4, 2016
    Regular Registration Deadline
  • October 20, 2016 – October 22, 2016
    WSDS in Charlotte, NC
  • Participate in Program

  • February 16, 2016 – March 24, 2016
    Speed Abstract Submission


WSDS 2016 will offer two half-day courses on Thursday, October 20. Courses are ticketed events that require an additional fee.

Doing Data Science, Reproducibly
Instructor: Heike Hoffman, Iowa State University

Making science more reproducible has the potential to advance scientific research and make researchers' work more effective and productive. This is particularly true for computational and data-intensive research. This hands-on workshop will teach a number of tools, resources, and practices that can be used today to make statistical analysis and data science more reproducible.

The workshop is organized into the following three parts:

  1. Introduction to Reproducible Research
  2. Organizing Your Project to Facilitate Reproducible Research
  3. Version Control

The course is aimed at researchers and professionals at all levels. The workshop will focus on R for illustrating the key concepts. Advanced knowledge of R is not needed, but some familiarity with R or another scripting language may make the workshop more accessible.

Effective Presentations for Statisticians: Success=(PD)2
Instructor: Jennifer Van Mullekom, Dupont

Public speaking is the number-one fear in America, yet being able to do so is absolutely critical for success in business settings. Statisticians must be able to effectively convey their ideas to clients, collaborators, and decision makers. Presenting in the modern world is even more daunting when speakers have the opportunity to employ slideware, videos, and live demos. Unfortunately, university coursework and professional development programs are often not targeted toward sharpening these skills. This short course, developed and taught by statisticians, will provide an opportunity to learn how to employ different methods and tools.

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