Data Science and Disability

  • March 2016
  • Blog
  • Publisher : KDnuggets
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This article explores how data science is being leveraged to address disability inclusion, ranging from personalised learning platforms to predictive tools in assistive technologies. It discusses the potential of machine learning for voice recognition, mobility tracking, and accessible interfaces that support autonomy and accessibility. The piece urges stronger data collection and disaggregation practices to inform inclusive policymaking. It calls for ethical frameworks to guide the design and deployment of technologies serving disabled communities.

Author(s) :

Chris Pearson

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Key topics

Mental Health and Disability Inclusion

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