Support

Support Options

  • Knowledge Base

    Find information on common questions and issues.

  • Support Messages

    Check on the status of your correspondences with members of the QUBES team.

Contact Us

About you
About the problem

Actually, Data Science CAN Be Accessible: Barriers to inclusion of people with disabilities in the data science workforce pipeline and ideas for lowering them

Will draw on personal experience as a student and professional with a severe visual impairment and knowledge gained from colleagues and friends during ongoing efforts in the area of accessible teaching in quantitative biology.

Listed in Teaching Materials | resource by group EDSIN: Environmental Data Science Inclusion Network

Version 1.0 - published on 31 Mar 2019 doi:10.25334/Q4NX6T - cite this

Licensed under CC Attribution-ShareAlike 4.0 International according to these terms

first slide of actually data science can be accessible.PNG

Description

If you were designing a course or employee training that introduces participants to writing and executing code, statistical analyses, and data visualization, what would you do to make it inclusive of participants with disabilities? What sorts of accessibility issues might you anticipate? How might you address them before you even know who the participants are? Why shouldn’t you just wait until you have a participant with a disability and work with them directly to make accommodations? Confidently answering such questions can be daunting. It requires knowing what disability is, awareness of some barriers to participation in data science by people with disabilities, some knowledge of tools and strategies for lowering those barriers, and above all, creativity. In this talk, I will address each of these, drawing on personal experience as a student and professional with a severe visual impairment, and knowledge gained from colleagues and friends during ongoing efforts in the area of accessible teaching in quantitative biology. Audience members will leave this talk with a better understanding of barriers to recruitment and training of people with disabilities in data science and some tools and strategies to lower them. They will also learn about areas requiring more attention. My primary goal is to leave audience members with the confidence that they can indeed help address the substantial underrepresentation of people with disabilities in this vital, growing field.

 

Contents

Cite this work

Tags

EDSIN: Environmental Data Science Inclusion Network

EDSIN: Environmental Data Science Inclusion Network group image

When watching a resource, you will be notified when a new version is released.