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Thanks Ned, how can I preview it? <br class="">
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LISA LISKOVOI</b></font></div>
<div class=""><font face="Arial" size="2" class="">INCLUSIVE DESIGNER AND ACCESSIBILITY SPECIALIST<br class="">
INCLUSIVE DESIGN RESEARCH CENTRE<br class="">
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<font face="Arial" size="2" class=""><b class="">T </b>416 977 6000 x3961</font></div>
<b style="font-weight: normal; font-family: Arial; text-align: -webkit-auto;" class="">E </b><span style="font-weight: normal; font-family: Arial; font-size: small; text-align: -webkit-auto;" class=""><a href="mailto:lliskovoi@ocadu.ca" class="">lliskovoi@ocadu.ca</a></span></div>
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</font></b></font></div>
<div style="font-weight: normal;" class=""><font face="Arial" size="2" class=""><b class=""><font size="2" class="">OCAD UNIVERSITY<br class="">
</font></b><font size="2" class=""><font size="2" class="">100 McCaul Street, Toronto, Canada M5T 1W1</font></font></font></div>
<div style="font-weight: normal;" class=""><font face="Arial" size="2" class=""><font size="2" class=""><font size="2" class=""><font size="2" class=""><a href="http://www.ocadu.ca" class="">www.ocadu.ca</a></font></font></font></font></div>
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<div class="">On Apr 7, 2020, at 12:37 PM, Ned Zimmerman <<a href="mailto:nzimmerman@ocadu.ca" class="">nzimmerman@ocadu.ca</a>> wrote:</div>
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<div class="">FYI.<br class="">
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—<br class="">
Ned Zimmerman (he/him)<br class="">
Senior Inclusive Developer<br class="">
Inclusive Design Research Centre, OCAD University<br class="">
<a href="https://idrc.ocadu.ca" class="">https://idrc.ocadu.ca</a><br class="">
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On 2020-04-07, 10:16 AM, "Jutta Treviranus" <jtreviranus@ocadu.ca> wrote:<br class="">
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   Can we reduce the following text:<br class="">
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   We Count, a project of the Inclusive Design Research Centre, funded by the Innovation Science and Economic Development (ISED program) will address barriers to participation and employment for persons with disabilities in the rapidly growing data economy.
 At the same time, the project will tackle bias and exclusion of persons with disabilities in data systems and ensure that these systems (including artificial intelligence, smart technologies, data-driven decision making and data analytics) recognize, understand
 and serve people with disabilities by creating innovative machine learning strategies and addressing data gaps.
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   to: <br class="">
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   Addressing barriers to participation & employment for persons with disabilities in the rapidly growing data economy.
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   Tackling bias & exclusion of persons with disabilities & small minorities in data systems.<br class="">
   Creating equitable machine learning strategies that recognize, understand & serve people with disabilities.<br class="">
<br class="">
   Also can the navigation bar text be larger?<br class="">
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   thanks<br class="">
   Jutta<br class="">
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