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X-WR-CALNAME;VALUE=TEXT:Monthly Training Webinars on Research Data (1).: Understanding the Gov’t Statistics
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SUMMARY:Monthly Training Webinars on Research Data (1).: Understanding the Gov’t Statistics
DESCRIPTION:<p align="center" style="text-align:center">	<strong>The Monthly Training Webinars on Research Data: Sources, Tools and Applications</strong></p><p align="center" style="text-align:center">	<span lang="EN-US">Co-Sponsored by China Data Institute<span style="color:black"><span style="text-decoration:none"><span style="text-underline:none">,</span></span></span> <a href="http://futuredatalab.org">Future Data Lab</a>,<span style="color:black"><span style="text-decoration:none"><span style="text-underline:none"> and </span></span></span><a href="https://www.rmdslab.com/">RMDS Lab</a></span></p><p align="center" style="text-align:center">	<strong><span lang="EN-US">Understanding the Gov’t Statistics</span></strong></p><p align="center" style="margin-left:-.1pt;text-align:center">	<span lang="EN-US">Shuming Bao<sup>1</sup> and Tao Hu<sup>2</sup></span></p><p align="center" style="margin-left:-.1pt;text-align:center">	<sup><span lang="EN-US">1</span></sup><span lang="EN-US">China Data Institute &amp; Future Data Lab</span></p><p align="center" style="margin-left:-.1pt;text-align:center">	<sup><span lang="EN-US">2</span></sup><span lang="EN-US">Center for Geographic Analysis, Harvard University</span></p><p align="center" style="margin-left:-.1pt;text-align:center">	 </p><p align="center" style="text-align:center">	<span lang="EN-US">11:00AM-12:00PM, Thursday, US Eastern Time</span></p><p align="center" style="text-align:center">	<span lang="EN-US">September 24, 2020 </span></p><p align="center" style="text-align:center">	<strong>Register Now</strong></p><p>	<strong>Abstract:</strong></p><p>	<span lang="EN-US"><span style="color:black">This webinar will discuss the following topics: (1) data sources, collection, category, definition, description, and interpretation; (2) alternative data for gov’t statistics, especially data derived from big data sources; (3) comparison of the difference between the US and China statistics; (4) discussions of pros and cons; (5) workflow-based data analysis case studies.</span></span></p><p align="center" style="text-align:center">	 </p>
LOCATION:Online
STATUS:CONFIRMED
DTSTART:20200924T150000Z
DTEND:20200924T160000Z
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