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

Name: Actually, Data Science CAN Be Accessible: Barriers to inclusion of people with disabilities in the data science workforce pipeline and ideas for lowering them
Published: 2019-03-31
License: CC Attribution-ShareAlike 4.0 International

Andrew Osborne Hasley

doi:10.25334/Q4NX6T

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

Author(s): Andrew Osborne Hasley

North Carolina State University Biotechnology Program

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EDSIN: Environmental Data Science Inclusion Network

Summary:

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.

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

Version 1.0 - published on 31 Mar 2019 doi:10.25334/Q4NX6T - cite this Last public release: 1.1

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Actually Data Science Can Be Accessible.pptx(PPTX | 54 MB)
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Version	Released	DOI Handle	Status
1.1	Jun 16, 2020	10.25334/VR0N-E805	published	view version »
1.0	Mar 31, 2019	10.25334/Q4NX6T	published	view version »

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

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