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  <title><![CDATA[Using Machine Learning to Respond to Covid-19]]></title>
  <body><![CDATA[<p>The coronavirus (Covid-19) pandemic has wreaked havoc on the world, spurring researchers across disciplines into action to help human-kind. Four researchers affiliated with the <a href="http://ml.gatech.edu/">Machine Learning Center at Georgia Tech (ML@GT)</a> and one <a href="https://omscs.gatech.edu/">Online Master of Science in Computer Science (OMSCS)</a> student examined different aspects of the virus&rsquo; impact. From creating digital tools used by hospitals to studying the psychological impact of the disease, these researchers are helping people understand the virus.</p>

<p>Faculty members <strong>Srijan Kumar </strong>(School of Computational Science and Engineering,) <strong>Aditya Prakash </strong>(School of Computational Science and Engineering,) <strong>Munmun De Choudhury </strong>(School of Interactive Computing,) <strong>Pinar Keskinocak </strong>(H. Milton Stewart School of Industrial and Systems Engineering,) and OMSCS student <strong>Kenneth Miller</strong> will participate in a virtual panel discussing their work. The panel will be moderated by ML@GT executive director <strong>Irfan Essa</strong>.</p>

<p>Panelists will give individual presentations before participating in a general question-and-answer segment with audience members.</p>

<ul>
	<li>Kumar and De Choudhury will share details of their work regarding the <a href="http://ml.gatech.edu/hg/item/635397">psychological impact of Covid-19</a>. Kumar will also discuss his work examining <a href="https://www.cc.gatech.edu/news/635858/predicting-hate-crimes-targeting-asian-americans-amid-covid-19-outbreak">hate and counter-hate messages on Twitter against Asian Americans</a> during the pandemic.</li>
	<li>Prakash is a member of the Center for Disease Control and Prevention&rsquo;s (CDC) forecasting team, and will share their <a href="https://www.cc.gatech.edu/news/635849/forecasting-covid-19-pandemic-united-states">new data-driven approach to disease forecasting</a>.</li>
	<li>Keskinocak&rsquo;s presentation will focus on her work <a href="https://rh.gatech.edu/news/634299/digital-tool-helps-hospital-make-important-coronavirus-retest-decisions">creating a digital tool</a> used by Piedmont Healthcare. The tool helps doctors determine if a patient needs to be tested or re-tested for Covid-19.</li>
	<li>A lawyer by day and OMSCS student by night, Miller participated in a Kaggle challenge using natural language processing and machine learning to <a href="https://www.cc.gatech.edu/news/635081/omscs-student-uses-machine-learning-help-understand-covid-19">help doctors and scientists read the most important studies</a> related to Covid-19.</li>
</ul>

<p>The panel will take place virtually via a Bluejeans Event at 11 a.m. on June 24 and is open to the public. <a href="https://primetime.bluejeans.com/a2m/register/sfpbpsgg">Registration is required</a>.</p>
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            <title><![CDATA[Members of the ML@GT community will discuss their Covid-19 related research efforts in a panel discussion on June 24, 2020.]]></title>
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