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Subject: On data access and the future of statistics
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Ulrich Rendtel of Freie Universität Berlin discusses his
experiences with the census and academia.

 
Having trouble viewing this? View as a web page.: http://sems.sas.com/bess/get?id=251505.1:-j21ym8ta:rzzb.1erfcbafrf0&RZNVY=grera@genafbprna.pbz&nccvq=55480

----------------------------------------------


Analytically Speaking
 Featuring Ulrich Rendtel

  Webcast Premiere
 
  Wednesday, May 17, 2017 | 1-2 p.m. ET
A paradigm shift for accessing data 

Ulrich Rendtel is a Professor of Applied Statistics in the School of Business and Economics at Freie Universität Berlin with a particular interest in official statistics and econometrics. As an active member of the German Council of Social and Economic Data and a consultant on the 2011 German census, Rendtel says the treatment of confidentiality in official statistics is worst-case thinking. It keeps scientists and researchers from being able to make discoveries and creates inefficiencies. He also advocates for interactive software for learning statistics and keeping an open mind to the perspectives of both the statistics and machine learning communities. 

 
Register Today: http://sems.sas.com/bess/get?id=251506.1:-j21ym8ta:rzzb.1erfcbafrf0&RZNVY=grera@genafbprna.pbz&nccvq=55480
  This webcast will cover:     
  - Reactions to the title “data scientist.”
  - Finding the right software for teaching undergraduate statistics.
  - How graphics can support – or discredit – a theory.
  - The benefits of playing with your data.
  - Why statisticians are not highly regarded around the world.

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----------------------------------------------

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<h3 style="color: #000000;font-family: 'Arial' , 'Helvetica' , sans-serif;font-size: 20.0px;font-weight: normal;line-height: 1.3;margin-bottom: 0.0px;margin-left: 0.0px;margin-right: 0.0px;margin-top: 15.0px;" xmlns="">A paradigm shift for accessing data&nbsp;<br clear="none" />
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<p style="color: #000000;font-family: 'Arial' , 'Helvetica' , sans-serif;font-size: 13.0px;line-height: 1.3;margin-bottom: 0.0px;margin-left: 0.0px;margin-right: 0.0px;margin-top: 15.0px;">Ulrich Rendtel is a Professor of Applied Statistics in the School of Business and Economics at Freie Universit&auml;t Berlin with a particular interest in official statistics and econometrics. As an active member of the German Council of Social and Economic Data and a consultant on the 2011 German census, Rendtel says the treatment of confidentiality in official statistics is worst-case thinking. It keeps scientists and researchers from being able to make discoveries and creates inefficiencies. He also advocates for interactive software for learning statistics and keeping an open mind to the perspectives of both the statistics and machine learning communities.<br clear="none" />
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<ul class="list-bullet" style="color: #000000;font-family: 'Arial' , 'Helvetica' , sans-serif;font-size: 13.0px;font-weight: normal;line-height: 1.3;">
<li>Reactions to the title &ldquo;data scientist.&rdquo;</li>
<li>Finding the right software for teaching undergraduate statistics.</li>
<li>How graphics can support &ndash; or discredit &ndash; a theory.</li>
<li>The benefits of playing with your data.</li>
<li>Why statisticians are not highly regarded around the world.</li>
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