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<p class="MsoNormal"><i><span style="font-size:12.0pt">Just a friendly reminder – please join us for this SDS Network guest speaker event next Monday, June 6<sup>th</sup> from 11am-12pm via Zoom. You must RSVP to receive the Zoom link. Please share widely with
 any of your colleagues interested in data science!<o:p></o:p></span></i></p>
<p class="MsoNormal"><i><span style="font-size:12.0pt">Best,<br>
Emily<o:p></o:p></span></i></p>
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<p class="MsoNormal" align="center" style="text-align:center"><b><span style="font-size:36.0pt;font-family:"Open Sans",sans-serif;color:white">Save The Date</span></b><b><span style="font-size:15.0pt;font-family:"Arial",sans-serif;color:white"><o:p></o:p></span></b></p>
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<p class="MsoNormal" align="center" style="text-align:center"><b><span style="font-size:15.0pt;font-family:"Arial",sans-serif;color:#808FA6"><a href="https://blogs.uoregon.edu/sdsnetwork/" target="_blank"><span style="font-size:18.0pt;font-family:"Open Sans",sans-serif;color:#007030">SDS
 Network Speaker Series</span></a><o:p></o:p></span></b></p>
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<p class="MsoNormal" align="center" style="text-align:center"><i><span style="font-size:13.5pt;font-family:"Open Sans",sans-serif;color:#2D2C2E">The Future of Data Science: Automation, Accessibility,
</span></i><b><span style="font-size:15.0pt;font-family:"Arial",sans-serif;color:#808FA6"><o:p></o:p></span></b></p>
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<p class="MsoNormal" align="center" style="text-align:center"><i><span style="font-size:13.5pt;font-family:"Open Sans",sans-serif;color:#2D2C2E">and Accountability</span></i><b><span style="font-size:15.0pt;font-family:"Arial",sans-serif;color:#808FA6"><o:p></o:p></span></b></p>
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<p class="MsoNormal" align="center" style="text-align:center"><b><span style="font-size:15.0pt;font-family:"Open Sans",sans-serif;color:black">Kelsey Gray,
</span></b><b><span style="font-size:15.0pt;font-family:"Arial",sans-serif;color:#2D2C2E">Insight Policy Research</span></b><b><span style="font-size:15.0pt;font-family:"Arial",sans-serif;color:#808FA6">
<o:p></o:p></span></b></p>
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<p class="MsoNormal" align="center" style="text-align:center"><b><span style="font-size:12.0pt;font-family:"Open Sans",sans-serif;color:black">Monday, June 6, 2022 from 11a.m. - 12 p.m. PST via Zoom
</span></b><b><span style="font-size:15.0pt;font-family:"Arial",sans-serif;color:#808FA6"><o:p></o:p></span></b></p>
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<p class="MsoNormal" align="center" style="text-align:center"><b><span style="font-size:12.0pt;font-family:"Open Sans",sans-serif;color:black">(Zoom link to follow)</span></b><b><span style="font-size:15.0pt;font-family:"Arial",sans-serif;color:#808FA6"><o:p></o:p></span></b></p>
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<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:white"><a href="https://urldefense.com/v3/__https:/oregon.qualtrics.com/jfe/form/SV_3LeYKlhKJFd5Vae__;!!C5qS4YX3!BtQ2VYJ7-tsrT1OvIbczpM518bjEqlwKjaRfauMV1vYUwhxe3Idr-4M74OZfaQ-U1ESSVFt0eqlJlq9gmkmycc7b$"><span style="font-size:12.0pt;font-family:"Open Sans",sans-serif;color:white;text-decoration:none">RSVP</span></a><o:p></o:p></span></p>
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<p class="MsoNormal"><b><span style="font-size:12.0pt;font-family:"Open Sans",sans-serif;color:#007030">Abstract:</span></b><span style="font-size:9.0pt;font-family:"Open Sans",sans-serif;color:#4C4C4C">
</span><span style="font-size:9.0pt;font-family:"Open Sans",sans-serif;color:black">Ask 10 data scientists to define “data science” and you’ll receive 10 different answers. Data science is an interdisciplinary field that is constantly evolving. However, three
 core characteristics define the future of this field: automation, accessibility, and accountability. This talk describes how Federal and State agencies, non-profits, and foundations are using automation, expecting accessibility, and demanding accountability
 when it comes to the application of data science and analytic techniques. Examples are presented that demonstrate:</span><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:#172B4D">
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<![if !supportLists]><span style="font-size:9.0pt;font-family:"Arial",sans-serif;color:black"><span style="mso-list:Ignore">1.<span style="font:7.0pt "Times New Roman""> 
</span></span></span><![endif]><span style="font-size:9.0pt;font-family:"Open Sans",sans-serif;color:black">How natural language processing techniques and report automation are routinely deployed to expedite the flow of information and insights;</span><span style="font-size:9.0pt;font-family:"Arial",sans-serif;color:black"><o:p></o:p></span></p>
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<![if !supportLists]><span style="font-size:9.0pt;font-family:"Arial",sans-serif;color:black"><span style="mso-list:Ignore">2.<span style="font:7.0pt "Times New Roman""> 
</span></span></span><![endif]><span style="font-size:9.0pt;font-family:"Open Sans",sans-serif;color:black">How data visualizations and interactive dashboards are making those results more accessible for decision makers and improving data literacy; and</span><span style="font-size:9.0pt;font-family:"Arial",sans-serif;color:black"><o:p></o:p></span></p>
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<![if !supportLists]><span style="font-size:9.0pt;font-family:"Arial",sans-serif;color:black"><span style="mso-list:Ignore">3.<span style="font:7.0pt "Times New Roman""> 
</span></span></span><![endif]><span style="font-size:9.0pt;font-family:"Open Sans",sans-serif;color:black">How users expect accountability when it comes to the use, transparency, and replicability of machine learning algorithms. Successful data science projects
 seamlessly integrate automation, accessibility, and accountability.</span><span style="font-size:9.0pt;font-family:"Arial",sans-serif;color:black"><o:p></o:p></span></p>
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<p class="MsoNormal" style="text-align:justify"><span style="font-size:9.0pt;font-family:"Open Sans",sans-serif;color:black">Kelsey Gray is an associate director of Data Science and Analytics at Insight Policy Research (Insight). She brings 10 years of experience
 assessing social programs and policies, with a specialty in data visualization and advanced analytics. She works with Federal agencies, State governments, non-profits, and foundations to make data more accessible for decision-making. Kelsey leverages her formal
 training in data visualization and design principles to convey complex information in easy-to-understand formats for the end user. She currently directs projects deploying interactive dashboards for government agencies and foundations, leads work to develop
 machine learning algorithms to classify unstructured data, and oversees tasks to enhance the data literacy of clients and organizations. Prior to joining Insight, she was a learning engineer at Project Evident, where she led work with nonprofit service providers
 to implement data science techniques and dashboards. As an analyst at Mathematica Policy Research, she used simulation models to estimate the impact of policy changes on social programs. Kelsey holds an M.S. in analytics from New York University and a B.A.
 in public policy from the University of North Carolina at Chapel Hill. She is a certified Tableau Specialist.</span><b><span style="font-size:15.0pt;font-family:"Arial",sans-serif;color:#808FA6"><o:p></o:p></span></b></p>
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