<div dir="ltr"><div class="gmail_default" style="font-family:monospace,monospace">Caros, boa noite!</div><div class="gmail_default" style="font-family:monospace,monospace"><br></div><div class="gmail_default" style="font-family:monospace,monospace">Encaminhando o evento abaixo à pedido da Profa Alexandra Schmidt.</div><div class="gmail_default" style="font-family:monospace,monospace"><br></div><div class="gmail_quote"><div class="msg5797954323257433622"><div dir="ltr"><div id="m_4275264082277786373Signature"><div><span style="font-size:10pt"></span></div>
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Dear Colleagues,</div>
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We are pleased to announce our upcoming CIRS/SWB Webinar titled "The art of data privacy - an Introduction to Statistical Data Privacy and Confidentiality" by Dr. Claire McKay Bowen, on September 25, 2024, 12-1:30 PM ET.</div>
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Our webinar series, sponsored jointly by the American Statistical Association’s Committee on International Relations in Statistics (CIRS) and by Statistics Without Borders (SWB), provides introductory lectures by experts on important topics of current interest
and is aimed at an international audience.</div>
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More information is provided below. </div>
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<b><u>The art of data privacy - an Introduction to Statistical Data Privacy and Confidentiality</u></b></div>
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<b>Date/time: </b>12-1:30pm EST, 25 September 2024</li><li style="font-family:Aptos,Aptos_EmbeddedFont,Aptos_MSFontService,Calibri,Helvetica,sans-serif;font-size:12pt;color:rgb(0,0,0);direction:ltr">
<b>Organized by:</b> <b>CIRS/SWB Webinar series</b></li><li style="font-family:Aptos,Aptos_EmbeddedFont,Aptos_MSFontService,Calibri,Helvetica,sans-serif;font-size:12pt;color:rgb(0,0,0);direction:ltr">
<b>Presenter:</b> Dr. Claire McKay Bowen</li><li style="font-family:Aptos,Aptos_EmbeddedFont,Aptos_MSFontService,Calibri,Helvetica,sans-serif;font-size:12pt;color:rgb(0,0,0);direction:ltr">
<b>Register </b><span style="color:rgb(17,85,204)"><b><a href="https://amstat.zoom.us/webinar/register/WN_MELKwDYRTbumjPtGh1AQZA" id="m_4275264082277786373OWA86626f1c-8999-3373-a75f-a080dd96f42b" title="Original URL: https://amstat.zoom.us/webinar/register/WN_MELKwDYRTbumjPtGh1AQZA. Click or tap if you trust this link." style="color:rgb(17,85,204)" target="_blank">here</a></b></span></li><li style="font-family:Aptos,Aptos_EmbeddedFont,Aptos_MSFontService,Calibri,Helvetica,sans-serif;font-size:12pt;color:rgb(0,0,0);direction:ltr;margin-bottom:8pt">
<b>Abstract: </b>At what point does the sacrifice to our personal information outweigh the public good? In a data-driven era, data users and researchers frequently leverage personal or confidential data to help policymakers make evidence-based, data-informed
decisions, such as improving economic recovery or creating a more efficient COVID-19 vaccine distribution. However, access to confidential data comes with several privacy concerns, especially for underrepresented groups. Striking the right balance is crucial
to avoid real disclosure risks that may not be obvious, like stalkers utilizing excessive location data or malicious parties learning sensitive medical information through linkable health or genetic data. This talk will cover the importance of balancing these
competing needs and walks through the issues the U.S. government and private sector must navigate when collecting and disseminating data. Specifically, the talk will answer the questions of what data privacy and confidentiality is, why should you care, what
is being done now, and what are the future challenges using a famous piece of art.</li></ul>
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We look forward to seeing you there!</div>
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Best wishes,</div>
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Alex (for the organizing committee)</div>
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<div style="font-size:10pt;color:rgb(102,102,102)">Alexandra M. Schmidt</div>
<div style="font-size:10pt;color:rgb(102,102,102)">Professor - The University Chair</div>
<div><span style="font-size:10pt;color:rgb(102,102,102)">McGill University</span><br>
<span style="font-size:10pt"><b><a href="http://alex-schmidt.research.mcgill.ca/" id="m_4275264082277786373OWA9a030721-0233-4996-88c4-facb1a225d34" target="_blank">http://alex-schmidt.research.mcgill.ca/</a></b></span></div>
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</div></div><br clear="all"><div><br></div><span class="gmail_signature_prefix">-- </span><br><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><b style="color:rgb(34,34,34)"><font color="#666666">Widemberg S Nobre</font></b><div style="color:rgb(34,34,34)"><font color="#999999">Professor Adjunto</font></div><div style="color:rgb(34,34,34)"><font color="#999999">Departamento de Métodos Estatísticos</font></div><div style="color:rgb(34,34,34)"><font color="#999999">Universidade Federal do Rio de Janeiro<br></font></div><div style="color:rgb(34,34,34)"><a href="https://sites.google.com/im.ufrj.br/widemberg-nobre/home" style="color:rgb(17,85,204)" target="_blank"><font color="#999999">https://sites.google.com/im.ufrj.br/widemberg-nobre/home</font></a></div></div></div></div></div></div></div></div></div></div>