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X-WR-CALNAME;VALUE=TEXT:Monthly Training Webinars on Research Data (9): Understanding Rural Development
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SUMMARY:Monthly Training Webinars on Research Data (9): Understanding Rural Development
DESCRIPTION:<p align="center" style="text-align:center">	<strong>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="margin-left:-21.0pt;text-align:center">	<strong>9.</strong><strong> Understanding Rural Development</strong></p><p align="center" style="margin-left:-.1pt;text-align:center">	<span lang="EN-US">Shuming Bao, China Data Institute &amp; Future Data Lab </span></p><p align="center" style="margin-left:-.1pt;text-align:center">	<span lang="EN-US">Tao Hu, Center for Geographic Analysis, Harvard University</span></p><p align="center" style="text-align:center">	<span lang="EN-US">English Session: 11:00AM-12:00PM, Thursday, May 20, 2021 (US Eastern Time)</span></p><p align="center" style="text-align:center">	<span lang="EN-US">Chinese Session: 11:00AM-12:00PM, Friday, May 21, 2021 (Beijing Time)</span></p><p align="center" style="text-align:center">	<strong>Register</strong></p><p align="center" style="text-align:center">	<span lang="EN-US"><a href="https://www.eventbrite.com/e/87068378865/">https://www.eventbrite.com/e/87068378865/</a></span></p><p>	<strong>Abstract:</strong></p><p>	<span lang="EN-US"><span style="color:black">China has experienced rapid rural development within recent years. This webinar will discuss available statistics, census data, and GIS data for the spatial study of rural development in China, including the following topics: (1) data sources, collection, category, definition, and interpretation; (2) alternative data sources; (3) comparison of the difference between the US and China data; (4) discussions of pros and cons; (5) workflow-based data analysis case studies based on published papers.</span></span></p>
LOCATION:Online
STATUS:CONFIRMED
DTSTART:20210520T150000Z
DTEND:20210520T160000Z
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