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DTSTART;TZID=America/Montreal:20210531T000000
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DESCRIPTION:The coronavirus disease 2019 (COVID-19) pandemic\, caused by th
 e severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus\, has
  generated an unprecedented global health crisis\, with more than 2.7 mill
 ion deaths worldwide. Do you want to contribute to the fight against this 
 pandemic?\n\nIEEE SIGHT (Special Interest Group on Humanitarian Technology
 ) of Montreal Section\, Vision and Image Processing Research Group of the 
 University of Waterloo and DarwinAI Corp. invite data scientists\, student
 s and professionals working on Artificial Intelligence (AI) to participate
  in a virtual competition to help medical researchers diagnose COVID-19 wi
 th chest X-ray (CXR) images. The ultimate goal is to contribute to the dev
 elopment of highly accurate yet practical AI solutions for detecting COVID
 -19 cases and\, hopefully\, accelerating the treatment of those who need i
 t the most. Moreover\, this AI for Good initiative will also allow us to t
 ake action on at least one of the [United Nations Sustainable Development 
 Goals (SDGs)](https://sdgs.un.org/goals)\, Good Health and Well-being.\n\n
 In the First Phase of the competition\, the challenge consists of designin
 g robust machine learning algorithms to predict if the subjects of study a
 re either COVID-19 positive or COVID-19 negative. The dataset for this com
 petition is the dataset curated by COVID-Net\, a global open-source initia
 tive launched by DarwinAI Corp.\, Canada\, and Vision and Image Processing
  Research Group\, University of Waterloo\, Canada\, for accelerating advan
 cements in machine learning to aid healthcare workers around the world in 
 the fight against the COVID-19 pandemic. More about the COVID-Net initiati
 ve and available open-source resources are available [here](http://www.cov
 id-net.ml). In the Second Phase\, the 5 top teams of the first phase will 
 have the opportunity to refine their solution and submit a proposal for a 
 follow-up project to positively impact society or the academic community.\
 n\nThis competition is organized in collaboration with the National Resear
 ch Council Canada and is co-hosted by the IEEE Young Professionals Affinit
 y Groups of Montreal\, Ottawa\, Toronto and Vancouver Sections\, Vancouver
  Circuit and Systems (CAS) Technical Chapter\, the Student Branches of INR
 S (Institut National de la Recherche Scientifique) and Vancouver Simon Fra
 ser University\, WIE (Women In Engineering) Ottawa. It is largely sponsore
 d by Microsoft\, and partially by the IEEE Canada Humanitarian Initiatives
  Committee and the IEEE Montreal Section.\n\nHow to participate\n\nNote: T
 his competition intended for participants living in Canada\, due to restri
 ctions on funds transfer. Check [the specific rules](https://r7.ieee.org/m
 ontreal-sight/ai-against-covid-19/#Specific-competition-rules) for eligibi
 lity of international participants.\n\nNO PURCHASE NECESSARY TO ENTER OR W
 IN.\n\nThe competition is hosted on the [Eval.ai](https://eval.ai) online 
 platform. To participate\, you or your team will need to perform the follo
 wing steps:\n\n- Register individually at the link provided below on the c
 urrent webpage (vTools).\n- Register yourself or your team at the link on 
 Eval.ai: https://eval.ai/web/challenges/challenge-page/925/participate. Fo
 llow the instructions here: https://evalai.readthedocs.io/en/latest/partic
 ipate.html#.\n- Download the dataset from https://www.kaggle.com/andyczhao
 /covidx-cxr2.\n- Design an AI algorithm that gets CXR images as inputs and
  predicts the labels of the images in the output (COVID or non-COVID).\n- 
 Train your AI algorithm using the training dataset.\n- Submit your predict
 ions through Eval.ai for evaluation against the test dataset for the compe
 tition.\n\nPrizes\n\nFor the First Phase\, the first five best solutions w
 ill be awarded monetary prizes and Azure credits:\n\n- First place: 1\,000
  CAD + 500 CAD in Azure.\n- Second place: 800 CAD + 300 CAD in Azure.\n- T
 hird place: 600 CAD + 300 CAD in Azure.\n- Fourth place: 400 CAD + 300 CAD
  in Azure.\n- Fifth place: 300 CAD + 300 CAD in Azure.\n\nThe top 5 teams 
 on the leaderboard will also have the following opportunities:\n\n- Partic
 ipate in the 2nd phase to refine their solution and receive funding for a 
 project.\n- Write a scientific paper with the Vision and Image Processing 
 Research Group\, from the University of Waterloo\, to explain their approa
 ch.\n\nFor the Second Phase\, the best three projects can receive funds up
  to the following amounts:\n\n- Project 1: 5\,000 CAD.\n- Project 2: 5\,00
 0 CAD.\n- Project 3: 4\,000 CAD.\n\nTerm of funding: Up to 4 months follow
 ing the announcement of the selected teams. The deadline is December 31st\
 , 2021.\n---------------------------------------------------------------\n
 \nFor more information\, visit [IEEE SIGHT Montreal website](https://r7.ie
 ee.org/montreal-sight/ai-against-covid-19/).\n\nCo-sponsored by: Microsoft
  Canada (exclusive cloud platform sponsor)\, IEEE Canada Humanitarian Init
 iatives Committee and IEEE Montreal Section\n\nAgenda: \nUpdated: Deadline
  to register: June 7th\, 2021\n\nFirst Phase:\n\nOpening ceremony: May 27t
 h\, 2021. Did you miss it? Check the recording [here](https://www.youtube.
 com/watch?v=ly9WfAyTiDk).\n\nThe competition starts on: May 31st\, 2021\n\
 nWorkshop and Networking session: June 5th\, 2021\n\nThe competition ends 
 on: June 14th\, 2021\n\nClosing ceremony: June 17th\, 2021\n\nSecond Phase
  (for top 5 teams):\n\nDeadline for submission of project proposals: July 
 15th\, 2021\n\nAnnouncement of the selected teams: August 22nd\, 2021\n\nV
 irtual: https://events.vtools.ieee.org/m/269273
LOCATION:Virtual: https://events.vtools.ieee.org/m/269273
ORGANIZER:sight.montreal@ieee.org
SEQUENCE:45
SUMMARY:AI against COVID-19: Screening X-ray Images for COVID-19 Infections
URL;VALUE=URI:https://events.vtools.ieee.org/m/269273
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&lt;span style=&quot;font-weight: 
 400\;&quot;&gt;The coronavirus disease 2019 (COVID-19) pandemic\, caused by the se
 vere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus\, has gen
 erated an unprecedented global health crisis\, with more than 2.7 million 
 deaths worldwide. Do you want to contribute to the fight against this pand
 emic? &lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&lt;span style=&quot;font-weight: 400\;&quot;&gt;IEEE SIGHT (Special
  Interest Group on Humanitarian Technology) of Montreal Section\, Vision a
 nd Image Processing Research Group of the University of Waterloo and Darwi
 nAI Corp. invite data scientists\, students and professionals working on A
 rtificial Intelligence (AI) to participate in a virtual competition to hel
 p medical researchers diagnose COVID-19 with chest X-ray (CXR) images. The
  ultimate goal is to contribute to the development of highly accurate yet 
 practical AI solutions for detecting COVID-19 cases and\, hopefully\, acce
 lerating the treatment of those who need it the most. Moreover\, this AI f
 or Good initiative will also allow us to take action on at least one of th
 e &lt;/span&gt;&lt;a href=&quot;https://sdgs.un.org/goals&quot;&gt;&lt;span style=&quot;font-weight: 400
 \;&quot;&gt;United Nations Sustainable Development Goals (SDGs)&lt;/span&gt;&lt;/a&gt;&lt;span st
 yle=&quot;font-weight: 400\;&quot;&gt;\, Good Health and Well-being.&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;In 
 &lt;strong&gt;the First Phase &lt;/strong&gt;of the competition\, the challenge consis
 ts of designing robust machine learning algorithms to predict if the subje
 cts of study are either COVID-19 positive or COVID-19 negative. The datase
 t for this competition is the dataset curated by COVID-Net\, a global open
 -source initiative launched by DarwinAI Corp.\, Canada\, and Vision and Im
 age Processing Research Group\, University of Waterloo\, Canada\, for acce
 lerating advancements in machine learning to aid healthcare workers around
  the world in the fight against the COVID-19 pandemic. More about the COVI
 D-Net initiative and available open-source resources are available &lt;a href
 =&quot;http://www.covid-net.ml&quot;&gt;here&lt;/a&gt;.&amp;nbsp\;In the &lt;strong&gt;Second Phase&lt;/st
 rong&gt;\, the 5 top teams of the first phase will have the opportunity to re
 fine their solution and submit a proposal for a follow-up project to posit
 ively impact society or the academic community.&lt;/p&gt;\n&lt;p&gt;This competition i
 s organized in collaboration with the National Research Council Canada and
  is co-hosted by the IEEE Young Professionals Affinity Groups of Montreal\
 , Ottawa\, Toronto and Vancouver Sections\, Vancouver Circuit and Systems 
 (CAS) Technical Chapter\, the Student Branches of INRS (Institut National 
 de la Recherche Scientifique) and Vancouver Simon Fraser University\, WIE 
 (Women In Engineering) Ottawa. It is largely sponsored by Microsoft\, and 
 partially by the IEEE Canada Humanitarian Initiatives Committee and the IE
 EE Montreal Section.&lt;/p&gt;\n&lt;p&gt;&lt;span style=&quot;font-size: 14pt\;&quot;&gt;&lt;strong&gt;How t
 o participate&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&lt;span style=&quot;font-weight: 400\;&quot;&gt;&lt;em
 &gt;Note: This competition intended for &lt;strong&gt;participants living in Canada
 &lt;/strong&gt;\, due to restrictions on funds transfer. Check &lt;a href=&quot;https://
 r7.ieee.org/montreal-sight/ai-against-covid-19/#Specific-competition-rules
 &quot;&gt;the specific rules&lt;/a&gt; for eligibility of international participants.&lt;/e
 m&gt;&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&lt;span style=&quot;font-weight: 400\;&quot;&gt;NO PURCHASE NECESSARY T
 O ENTER OR WIN.&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&lt;span style=&quot;font-weight: 400\;&quot;&gt;The compet
 ition is hosted on the &lt;/span&gt;&lt;a href=&quot;https://eval.ai&quot;&gt;&lt;span style=&quot;font-
 weight: 400\;&quot;&gt;Eval.ai&lt;/span&gt;&lt;/a&gt;&lt;span style=&quot;font-weight: 400\;&quot;&gt; online 
 platform. To participate\, you or your team will need to perform the follo
 wing steps:&lt;/span&gt;&lt;/p&gt;\n&lt;ol&gt;\n&lt;li style=&quot;font-weight: 400\;&quot; aria-level=&quot;1
 &quot;&gt;&lt;span style=&quot;font-weight: 400\;&quot;&gt;Register individually at the link provi
 ded below on the current webpage (vTools).&lt;/span&gt;&lt;/li&gt;\n&lt;li style=&quot;font-we
 ight: 400\;&quot; aria-level=&quot;1&quot;&gt;&lt;span style=&quot;font-weight: 400\;&quot;&gt;Register your
 self or your team at the link on Eval.ai: &lt;/span&gt;&lt;a href=&quot;https://eval.ai/
 web/challenges/challenge-page/925/participate&quot;&gt;&lt;span style=&quot;font-weight: 4
 00\;&quot;&gt;https://eval.ai/web/challenges/challenge-page/925/participate&lt;/span&gt;
 &lt;/a&gt;&lt;span style=&quot;font-weight: 400\;&quot;&gt;. Follow the instructions here: &lt;a hr
 ef=&quot;https://evalai.readthedocs.io/en/latest/participate.html#&quot;&gt;https://eva
 lai.readthedocs.io/en/latest/participate.html#&lt;/a&gt;.&lt;/span&gt;&lt;/li&gt;\n&lt;li style
 =&quot;font-weight: 400\;&quot; aria-level=&quot;1&quot;&gt;&lt;span style=&quot;font-weight: 400\;&quot;&gt;Down
 load the dataset from &lt;/span&gt;&lt;a href=&quot;https://www.kaggle.com/andyczhao/cov
 idx-cxr2&quot;&gt;&lt;span style=&quot;font-weight: 400\;&quot;&gt;https://www.kaggle.com/andyczha
 o/covidx-cxr2&lt;/span&gt;&lt;/a&gt;&lt;span style=&quot;font-weight: 400\;&quot;&gt;.&lt;/span&gt;&lt;/li&gt;\n&lt;l
 i style=&quot;font-weight: 400\;&quot; aria-level=&quot;1&quot;&gt;&lt;span style=&quot;font-weight: 400\
 ;&quot;&gt;Design an AI algorithm that gets CXR images as inputs and predicts the 
 labels of the images in the output (COVID or non-COVID).&lt;/span&gt;&lt;/li&gt;\n&lt;li 
 style=&quot;font-weight: 400\;&quot; aria-level=&quot;1&quot;&gt;&lt;span style=&quot;font-weight: 400\;&quot;
 &gt;Train your AI algorithm using the training dataset.&lt;/span&gt;&lt;/li&gt;\n&lt;li styl
 e=&quot;font-weight: 400\;&quot; aria-level=&quot;1&quot;&gt;&lt;span style=&quot;font-weight: 400\;&quot;&gt;Sub
 mit your predictions through Eval.ai for evaluation against the test datas
 et for the competition.&lt;/span&gt;&lt;/li&gt;\n&lt;/ol&gt;\n&lt;p&gt;&lt;span style=&quot;font-size: 14p
 t\;&quot;&gt;&lt;strong&gt;Prizes&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&lt;span style=&quot;font-weight: 400\
 ;&quot;&gt;For &lt;/span&gt;&lt;strong&gt;the First Phase&lt;/strong&gt;&lt;span style=&quot;font-weight: 40
 0\;&quot;&gt;\, the first five best solutions will be awarded monetary prizes and 
 Azure credits:&lt;/span&gt;&lt;/p&gt;\n&lt;ol&gt;\n&lt;li style=&quot;font-weight: 400\;&quot; aria-level
 =&quot;1&quot;&gt;&lt;span style=&quot;font-weight: 400\;&quot;&gt;First place: 1\,000 CAD + 500 CAD in
  Azure.&lt;/span&gt;&lt;/li&gt;\n&lt;li style=&quot;font-weight: 400\;&quot; aria-level=&quot;1&quot;&gt;&lt;span s
 tyle=&quot;font-weight: 400\;&quot;&gt;Second place: 800 CAD + 300 CAD in Azure.&lt;/span&gt;
 &lt;/li&gt;\n&lt;li style=&quot;font-weight: 400\;&quot; aria-level=&quot;1&quot;&gt;&lt;span style=&quot;font-wei
 ght: 400\;&quot;&gt;Third place: 600 CAD + 300 CAD in Azure.&lt;/span&gt;&lt;/li&gt;\n&lt;li styl
 e=&quot;font-weight: 400\;&quot; aria-level=&quot;1&quot;&gt;&lt;span style=&quot;font-weight: 400\;&quot;&gt;Fou
 rth place: 400 CAD + 300 CAD in Azure.&lt;/span&gt;&lt;/li&gt;\n&lt;li style=&quot;font-weight
 : 400\;&quot; aria-level=&quot;1&quot;&gt;&lt;span style=&quot;font-weight: 400\;&quot;&gt;Fifth place: 300 
 CAD + 300 CAD in Azure.&lt;/span&gt;&lt;/li&gt;\n&lt;/ol&gt;\n&lt;p&gt;&lt;span style=&quot;font-weight: 4
 00\;&quot;&gt;The &lt;/span&gt;&lt;strong&gt;top 5 &lt;/strong&gt;&lt;span style=&quot;font-weight: 400\;&quot;&gt;t
 eams on the leaderboard will also have the following opportunities:&lt;/span&gt;
 &lt;/p&gt;\n&lt;ul&gt;\n&lt;li style=&quot;font-weight: 400\;&quot; aria-level=&quot;1&quot;&gt;&lt;span style=&quot;fon
 t-weight: 400\;&quot;&gt;Participate in the 2nd phase to refine their solution and
  receive funding for a project.&lt;/span&gt;&lt;/li&gt;\n&lt;li style=&quot;font-weight: 400\;
 &quot; aria-level=&quot;1&quot;&gt;&lt;span style=&quot;font-weight: 400\;&quot;&gt;Write a scientific paper
  with the Vision and Image Processing Research Group\, from the University
  of Waterloo\, to explain their approach.&lt;/span&gt;&lt;/li&gt;\n&lt;/ul&gt;\n&lt;p&gt;&lt;span sty
 le=&quot;font-weight: 400\;&quot;&gt;For &lt;/span&gt;&lt;strong&gt;the Second Phase&lt;/strong&gt;&lt;span 
 style=&quot;font-weight: 400\;&quot;&gt;\, the best three projects can receive funds up
  to the following amounts:&lt;/span&gt;&lt;/p&gt;\n&lt;ol&gt;\n&lt;li style=&quot;font-weight: 400\;
 &quot; aria-level=&quot;1&quot;&gt;&lt;span style=&quot;font-weight: 400\;&quot;&gt;Project 1: 5\,000 CAD.&lt;/
 span&gt;&lt;/li&gt;\n&lt;li style=&quot;font-weight: 400\;&quot; aria-level=&quot;1&quot;&gt;&lt;span style=&quot;fon
 t-weight: 400\;&quot;&gt;Project 2: 5\,000 CAD.&lt;/span&gt;&lt;/li&gt;\n&lt;li style=&quot;font-weigh
 t: 400\;&quot; aria-level=&quot;1&quot;&gt;&lt;span style=&quot;font-weight: 400\;&quot;&gt;Project 3: 4\,00
 0 CAD.&lt;/span&gt;&lt;/li&gt;\n&lt;/ol&gt;\n&lt;p&gt;&lt;span style=&quot;font-weight: 400\;&quot;&gt;Term of fun
 ding: Up to 4 months following the announcement of the selected teams. The
  deadline is December 31st\, 2021.&lt;/span&gt;&lt;/p&gt;\n&lt;hr /&gt;\n&lt;p&gt;&lt;span style=&quot;fon
 t-weight: 400\;&quot;&gt;For &lt;strong&gt;more information&lt;/strong&gt;\, visit &lt;a href=&quot;ht
 tps://r7.ieee.org/montreal-sight/ai-against-covid-19/&quot;&gt;IEEE SIGHT Montreal
  website&lt;/a&gt;.&lt;/span&gt;&lt;/p&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;p&gt;Updated: &lt;span style=
 &quot;color: #e03e2d\;&quot;&gt;&lt;strong&gt;Deadline to register: June 7th\, 2021&lt;/strong&gt;&lt;
 /span&gt;&lt;/p&gt;\n&lt;p&gt;&lt;span style=&quot;text-decoration: underline\;&quot;&gt;First Phase:&lt;/sp
 an&gt;&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;Opening ceremony: &lt;/strong&gt;&lt;span style=&quot;font-weight: 4
 00\;&quot;&gt;May 27th\, 2021. Did you miss it? Check the recording &lt;a href=&quot;https
 ://www.youtube.com/watch?v=ly9WfAyTiDk&quot;&gt;here&lt;/a&gt;.&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;T
 he competition starts on: &lt;/strong&gt;&lt;span style=&quot;font-weight: 400\;&quot;&gt;May 31
 st\, 2021&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&lt;span style=&quot;font-weight: 400\;&quot;&gt;&lt;strong&gt;Workshop
  and Networking session:&amp;nbsp\;&lt;/strong&gt;June 5th\, 2021&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&lt;st
 rong&gt;The competition ends on: &lt;/strong&gt;&lt;span style=&quot;font-weight: 400\;&quot;&gt;Ju
 ne 14th\, 2021&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;Closing ceremony:&lt;/strong&gt;&lt;span styl
 e=&quot;font-weight: 400\;&quot;&gt; June 17th\, 2021&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&lt;s
 pan style=&quot;text-decoration: underline\;&quot;&gt;&lt;span style=&quot;font-weight: 400\;&quot;&gt;
 Second Phase (for top 5 teams):&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&lt;span style=&quot;font-we
 ight: 400\;&quot;&gt;&lt;strong&gt;Deadline for submission of project proposals&lt;/strong&gt;
 : July 15th\, 2021&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&lt;span style=&quot;font-weight: 400\;&quot;&gt;&lt;strong
 &gt;Announcement of the selected teams&lt;/strong&gt;: August 22nd\, 2021&lt;/span&gt;&lt;/p
 &gt;
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