<div dir="ltr"><div></div><div><span style="background-color:rgb(255,255,0)">PLEASE REMOVE THIS notice</span> THAT APPEARS ON YOUR EMAILS.</div><div><br></div><div><pre>"This message and any attachment are intended solely for the addressee
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where permitted by law."</pre><br></div></div><div class="gmail_extra"><br><div class="gmail_quote">On Tue, Jul 3, 2018 at 4:12 PM, Suchith Anand <span dir="ltr"><<a href="mailto:Suchith.Anand@nottingham.ac.uk" target="_blank">Suchith.Anand@nottingham.ac.uk</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
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<span style="color:rgb(0,0,0)">Hi All,</span><br>
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<span style="color:rgb(0,0,0)">I came across this excellent Urban Data Science Summer School at CEPT University, Ahmedabad, India . Urban Data Science is a course which is an outcome of the collaboration which took place in CODATA Research Data workshop in
Trieste 2017. Shaily Gandhi</span><span style="color:rgb(0,0,0)"> </span><span style="color:rgb(0,0,0)"> attended the CODATA-RDA School of Research Data Science, hosted at ICTP, near Trieste, Italy.[1]</span></p>
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<span style="color:rgb(0,0,0)">The course of urban data science was hosted by CEPT University, Ahmedabad, India from May 14 – May 19, 2018 to address the challenges with poor use of available open data in decision making while keeping urban in focus. The course
had been designed to get students started with the basic data science components in a short span of 6 days. The aim of the course was to give an insight on open urban Data Sets and insights for interaction with other sources of data freely available.</span><span style="color:rgb(0,0,0)">
</span><span style="color:rgb(0,0,0)">The course was carefully designed for students from different backgrounds like planning, architects, civil engineer, geomatics and other disciplines from both bachelors and masters level who belonged to IT and non- IT background.
The lessons of the basics of R were prepared by using the material of software carpentry lessons Programming with R and R for Reproducible Scientific Analysis. The concepts were taken and the lessons were redesigned focusing on urban problems and analysis.[2]</span></p>
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<span style="color:rgb(0,0,0)">This is a great way to know how the alumni </span>
<span style="color:rgb(0,0,0)">CODATA-RDA School of Research Data Science </span>
<span style="color:rgb(0,0,0)">are helping share their knowledge with all. This will be a inspiration for GIS community</span><span style="color:rgb(0,0,0)">
</span><span style="color:rgb(0,0,0)">to also follow.</span><span style="color:rgb(0,0,0)">
</span><span style="color:rgb(0,0,0)">Maybe we can</span><span style="color:rgb(0,0,0)">
</span><span style="color:rgb(0,0,0)">should think of ideas how after benefiting from Free and Open Geo</span><span style="color:rgb(0,0,0)">
</span><span style="color:rgb(0,0,0)">software and education , we all can contribute back to the benefit of the wider community for the UN SDG 2030 aims .</span></p>
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<span style="color:rgb(0,0,0)">Best wishes,</span></p>
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<span style="color:rgb(0,0,0)">Suchith</span></p>
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<span style="color:#454545">[1] <a href="http://www.codata.org/working-groups/research-data-science-summer-schools/2017-codata-rda-school-of-research-data" id="m_-1102496558266085084LPlnk445057" class="m_-1102496558266085084x_x_x_OWAAutoLink" target="_blank">
<span style="color:#e4af0a">http://www.codata.org/working-<wbr>groups/research-data-science-<wbr>summer-schools/2017-codata-<wbr>rda-school-of-research-data</span></a> </span><br>
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<span style="color:#454545">[2] <a href="http://codata.org/blog/2018/06/28/urban-data-science-curriculum-development/" id="m_-1102496558266085084LPlnk637262" class="m_-1102496558266085084x_x_x_OWAAutoLink" target="_blank">
<span style="color:#e4af0a">http://codata.org/blog/2018/<wbr>06/28/urban-data-science-<wbr>curriculum-development/</span></a> </span></p>
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<pre>
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