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    <title>2023s on STATS/BIODS 352</title>
    <link>https://stats352.stanford.edu/2023/</link>
    <description>Recent content in 2023s on STATS/BIODS 352</description>
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      <title>Schedule</title>
      <link>https://stats352.stanford.edu/2023/schedule/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
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      <description>&lt;p&gt;Any changes to the schedule will be reflected here, so we advise you&#xA;to check this page often.&lt;/p&gt;&#xA;&lt;p&gt;We will use &lt;a href=&#34;https://canvas.stanford.edu/courses/155179&#34;&gt;Canvas&lt;/a&gt; for&#xA;class announcements, materials and other administrivia.&lt;/p&gt;&#xA;&lt;p&gt;The class meets Thursdays, 10:30-11:50, in &lt;a href=&#34;https://campus-map.stanford.edu/?id=GESB150&#34;&gt;Green Earth Sciences, Room&#xA;150&lt;/a&gt;&lt;/p&gt;&#xA;&lt;h2 id=&#34;april-6-13&#34;&gt;April 6, 13&lt;/h2&gt;&#xA;&lt;table&gt;&#xA;  &lt;thead&gt;&#xA;      &lt;tr&gt;&#xA;          &lt;th style=&#34;text-align: center&#34;&gt;&lt;/th&gt;&#xA;          &lt;th style=&#34;text-align: center&#34;&gt;&lt;/th&gt;&#xA;      &lt;/tr&gt;&#xA;  &lt;/thead&gt;&#xA;  &lt;tbody&gt;&#xA;      &lt;tr&gt;&#xA;          &lt;td style=&#34;text-align: center&#34;&gt;&lt;img src=&#34;https://stats352.stanford.edu/images/rt.jpg&#34; alt=&#34;&#34;&gt;&lt;/td&gt;&#xA;          &lt;td style=&#34;text-align: center&#34;&gt;&lt;img src=&#34;https://stats352.stanford.edu/images/djm.jpg&#34; alt=&#34;&#34;&gt;&lt;/td&gt;&#xA;      &lt;/tr&gt;&#xA;      &lt;tr&gt;&#xA;          &lt;td style=&#34;text-align: center&#34;&gt;&lt;a href=&#34;https://www.stat.berkeley.edu/~ryantibs/&#34;&gt;&lt;strong&gt;Ryan Tibshirani&lt;/strong&gt;&lt;/a&gt;&lt;/td&gt;&#xA;          &lt;td style=&#34;text-align: center&#34;&gt;&lt;a href=&#34;https://dajmcdon.github.io/&#34;&gt;&lt;strong&gt;Daniel J. McDonald&lt;/strong&gt;&lt;/a&gt;&lt;/td&gt;&#xA;      &lt;/tr&gt;&#xA;      &lt;tr&gt;&#xA;          &lt;td style=&#34;text-align: center&#34;&gt;UC Berkeley&lt;/td&gt;&#xA;          &lt;td style=&#34;text-align: center&#34;&gt;U of British Columbia&lt;/td&gt;&#xA;      &lt;/tr&gt;&#xA;  &lt;/tbody&gt;&#xA;&lt;/table&gt;&#xA;&lt;p&gt;&lt;em&gt;Opportunities and Challenges in Auxiliary Surveillance for Public Health the United States&lt;/em&gt;&lt;/p&gt;&#xA;&lt;blockquote&gt;&#xA;&lt;p&gt;In 2015, the &lt;a href=&#34;https://delphi.cmu.edu/&#34;&gt;Delphi group&lt;/a&gt; at Carnegie Mellon University launched an effort called the Epidata project, to collect and make publicly available signals that reflect infectious disease activity in real-time. The focus was primarily on seasonal influenza in the United States. In March 2020, this effort was massively expanded and accelerated to help support the COVID-19 response. Now, Epidata has over 4.5 billion records, with ~3 million records added daily, and receives between 100,000 and 1 million API queries per day. It covers a diverse set of data streams, both novel and traditional, for tracking COVID-19, influenza, and other diseases. The first lecture, on April 6, will give a high-level summary of the main goals behind Epidata, and the challenges and opportunities in auxiliary surveillance for public health. The second lecture, on April 13, will dive into some of the software packages that Delphi is building that support data access, as well as nowcasting and forecasting.&lt;/p&gt;</description>
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