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DTSTART:20240310T030000
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DTSTAMP:20241023T003659Z
UID:D7E8C9AF-BF0F-4259-969C-401B6EB22F38
DTSTART;TZID=America/New_York:20241022T173000
DTEND;TZID=America/New_York:20241022T183000
DESCRIPTION:Join the IEEE Toronto Instrumentation &amp; Measurement – Robotic
 s &amp; Automation Joint Chapter for a talk on the Building Inclusivity into S
 oftware Engineering\, presented by Dr. Mariam Guizani from Queen&#39;s Univers
 ity.\n\n[]\n\nTuesday\, October 22\, 2024 @ 5:30 – 6:30 PM\n\nAbstract: 
 Individuals often develop software based on their own cognitive preference
 s and perspectives. However\, given the diverse ways in which people proce
 ss information\, it becomes crucial to examine how we can effectively test
  and implement software with inclusivity in mind.\n\nThis presentation wil
 l delve into the relationship between inclusivity and technology\, address
 ing two main questions: What are inclusivity bugs? And how can we find and
  fix them in software products?\n\nIn this presentation\, Dr. Guizani will
  introduce a Why/Where/Fix systematic inclusivity debugging process to hel
 p find inclusivity bugs (using the GenderMag cognitive walkthrough method)
 \, localize the Information Architecture (IA) faults behind them\, and the
 n fix the IA to remove the inclusivity bugs found. Additionally\, she will
  share insights from various teams using GenderMag to enhance inclusivity 
 in their products and processes.\n\nSpeaker(s): Mariam Guizani\, Ph.D.\n\n
 Virtual: https://events.vtools.ieee.org/m/432370
LOCATION:Virtual: https://events.vtools.ieee.org/m/432370
ORGANIZER:s.sedghizadeh.ca@ieee.org
SEQUENCE:13
SUMMARY:Building Inclusivity into Software Engineering
URL;VALUE=URI:https://events.vtools.ieee.org/m/432370
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&lt;span style=&quot;color: rgb(0\, 0\, 0)\;&quot;&gt;Join
  the &lt;strong&gt;IEEE Toronto Instrumentation &amp;amp\; Measurement &amp;ndash\; Robo
 tics &amp;amp\; Automation Joint Chapter&lt;/strong&gt;&amp;nbsp\;for a talk on the&lt;stro
 ng&gt; Building Inclusivity into Software Engineering&lt;/strong&gt;\, presented by
 &amp;nbsp\;&lt;strong&gt;Dr. Mariam Guizani &lt;/strong&gt;from&lt;strong&gt; Queen&#39;s University
 .&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&lt;span style=&quot;color: rgb(0\, 0\, 0)\;&quot;&gt;&lt;strong&gt;&lt;i
 mg style=&quot;float: right\;&quot; src=&quot;https://events.vtools.ieee.org/vtools_ui/me
 dia/display/e9de1088-25ee-4f04-bbbd-9a00054b8a3b&quot; alt=&quot;&quot; width=&quot;587&quot; heigh
 t=&quot;330&quot;&gt;&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&lt;span style=&quot;color: rgb(0\, 0\, 0)\;&quot;&gt;&lt;st
 rong&gt;&lt;span style=&quot;color: rgb(186\, 55\, 42)\; font-size: 14pt\;&quot;&gt;Tuesday\,
  October 22\, 2024 @ 5:30 &amp;ndash\; 6:30 PM&lt;/span&gt;&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;
 &lt;span style=&quot;color: rgb(0\, 0\, 0)\;&quot;&gt;&lt;strong&gt;Abstract: &lt;/strong&gt;Individua
 ls often develop software based on their own cognitive preferences and per
 spectives. However\,&amp;nbsp\; given the diverse ways in which people process
  information\, it becomes crucial to examine how we can effectively test a
 nd implement software with inclusivity in mind.&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&lt;span style
 =&quot;color: rgb(0\, 0\, 0)\;&quot;&gt;This presentation will delve into the relations
 hip between inclusivity and technology\, addressing two main questions: Wh
 at are inclusivity bugs? And how can we find and fix them in software prod
 ucts?&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&lt;span style=&quot;color: rgb(0\, 0\, 0)\;&quot;
 &gt;&lt;span style=&quot;font-size: 11pt\; border: none\;&quot;&gt;In this presentation\,&amp;nbs
 p\;&lt;strong&gt;Dr. Guizani&lt;/strong&gt;&lt;/span&gt; will introduce a Why/Where/Fix syst
 ematic inclusivity debugging process to help find inclusivity bugs (using 
 the GenderMag cognitive walkthrough method)\, localize the Information Arc
 hitecture (IA) faults behind them\, and then fix the IA to remove the incl
 usivity bugs found. Additionally\, she will share insights from various te
 ams using GenderMag to enhance inclusivity in their products and processes
 .&lt;/span&gt;&lt;/p&gt;
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