<html xmlns:v="urn:schemas-microsoft-com:vml" xmlns:o="urn:schemas-microsoft-com:office:office" xmlns:w="urn:schemas-microsoft-com:office:word" xmlns:m="http://schemas.microsoft.com/office/2004/12/omml" xmlns="http://www.w3.org/TR/REC-html40">
<head>
<meta http-equiv="Content-Type" content="text/html; charset=Windows-1252">
<meta name="Generator" content="Microsoft Word 15 (filtered medium)">
<style><!--
/* Font Definitions */
@font-face
{font-family:"Cambria Math";
panose-1:2 4 5 3 5 4 6 3 2 4;}
@font-face
{font-family:Calibri;
panose-1:2 15 5 2 2 2 4 3 2 4;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
{margin:0in;
margin-bottom:.0001pt;
font-size:11.0pt;
font-family:"Calibri",sans-serif;}
a:link, span.MsoHyperlink
{mso-style-priority:99;
color:blue;
text-decoration:underline;}
.MsoChpDefault
{mso-style-type:export-only;
font-size:10.0pt;}
@page WordSection1
{size:8.5in 11.0in;
margin:70.85pt 70.85pt 56.7pt 70.85pt;}
div.WordSection1
{page:WordSection1;}
--></style><!--[if gte mso 9]><xml>
<o:shapedefaults v:ext="edit" spidmax="1026" />
</xml><![endif]--><!--[if gte mso 9]><xml>
<o:shapelayout v:ext="edit">
<o:idmap v:ext="edit" data="1" />
</o:shapelayout></xml><![endif]-->
</head>
<body lang="EN-US" link="blue" vlink="purple">
<div class="WordSection1">
<p style="line-height:135%"><i><span style="font-size:11.5pt;line-height:135%;color:#5F5F5F">*** Apologies for cross-posting ***<o:p></o:p></span></i></p>
<p style="line-height:135%"><span style="font-size:11.5pt;line-height:135%;color:#5F5F5F">Dear colleagues,<o:p></o:p></span></p>
<p style="line-height:135%"><span style="font-size:11.5pt;line-height:135%;color:#5F5F5F">We are excited to announce the program of the 50<sup>th</sup> GESIS Spring Seminar 2021, held
<b>virtually</b> via Zoom from 1 to 19 March 2021. <o:p></o:p></span></p>
<p style="line-height:135%"><span style="font-size:11.5pt;line-height:135%;color:#5F5F5F">Across the social sciences, questions of causal inference are attracting increased attention, with researchers wanting to not only test associative hypotheses but uncover
causal relationships between two or more variables. With social-science contexts often not lending themselves to classical experimental designs, recent years saw the development of advanced methodological approaches to investigate such causal relationships
from observational data, and the advent of big data has brought forward further methodological advances in relation to machine learning. In 2021, the GESIS Spring Seminar will address these developments and offer three courses on causal inference. Lectures
in each course are complemented by hands-on exercises giving participants the opportunity to apply these methods to data.<o:p></o:p></span></p>
<p style="mso-margin-top-alt:11.25pt;margin-right:0in;margin-bottom:0in;margin-left:0in;margin-bottom:.0001pt;line-height:135%">
<strong><span style="font-size:11.5pt;line-height:135%;font-family:"Calibri",sans-serif;color:#5F5F5F">Week 1 (March 1-5):
</span></strong><span lang="DE"><a href="https://training.gesis.org/?site=pDetails&child=full&pID=0xD06A3B3C765F41F790F6DFED58D35469&subID=0xF8C24F74D0A14EC1AC36D5CCA5FE3648" target="_blank"><b><span lang="EN-US" style="font-size:11.5pt;line-height:135%;color:#E36C0A">Causal
Inference and Experiments</span></b></a></span><o:p></o:p></p>
<p style="mso-margin-top-alt:0in;margin-right:0in;margin-bottom:12.0pt;margin-left:0in;line-height:135%">
<span style="font-size:11.5pt;line-height:135%;color:#5F5F5F">Asst. Prof. D.J. Flynn, IE University Madrid (Spain)</span><o:p></o:p></p>
<p style="margin:0in;margin-bottom:.0001pt;line-height:135%"><strong><span style="font-size:11.5pt;line-height:135%;font-family:"Calibri",sans-serif;color:#5F5F5F">Week 2 (March 8-12):
</span></strong><span lang="DE"><a href="https://training.gesis.org/?site=pDetails&child=full&pID=0xD06A3B3C765F41F790F6DFED58D35469&subID=0x280E18ACFEB04EB0A2DE243076443B01" target="_blank"><b><span lang="EN-US" style="font-size:11.5pt;line-height:135%;color:#E36C0A">Causal
Inference in Observational Studies</span></b></a></span><o:p></o:p></p>
<p style="margin:0in;margin-bottom:.0001pt;line-height:135%"><span style="font-size:11.5pt;line-height:135%;color:#5F5F5F">Dr. Krisztián Pósch, University College London (United Kingdom)</span><o:p></o:p></p>
<p style="mso-margin-top-alt:0in;margin-right:0in;margin-bottom:11.25pt;margin-left:0in;line-height:135%">
<span style="font-size:11.5pt;line-height:135%;color:#5F5F5F">Thiago R. Oliveira, London School of Economics (United Kingdom)</span><o:p></o:p></p>
<p style="margin:0in;margin-bottom:.0001pt;line-height:135%"><strong><span style="font-size:11.5pt;line-height:135%;font-family:"Calibri",sans-serif;color:#5F5F5F">Week 3 (March 15-19):
</span></strong><span lang="DE"><a href="https://training.gesis.org/?site=pDetails&child=full&pID=0xD06A3B3C765F41F790F6DFED58D35469&subID=0x69CDB480C7E04E5A96AD3925F7531FE3" target="_blank"><b><span lang="EN-US" style="font-size:11.5pt;line-height:135%;color:#E36C0A">Causal
Machine Learning</span></b></a></span><o:p></o:p></p>
<p style="margin:0in;margin-bottom:.0001pt;line-height:135%"><span style="font-size:11.5pt;line-height:135%;color:#5F5F5F">Asst. Prof. Dr. Michael C. Knaus, University of St. Gallen (Switzerland)<o:p></o:p></span></p>
<p style="margin:0in;margin-bottom:.0001pt;line-height:135%"><span style="font-size:11.5pt;line-height:135%;color:#5F5F5F">Gabriel Okasa, University of St. Gallen (Switzerland)</span><o:p></o:p></p>
<p style="line-height:135%"><span style="font-size:11.5pt;line-height:135%;color:#5F5F5F">Courses will be held online and can be booked either separately or as a block. There is no registration deadline, but places are limited and allocated on a first-come,
first-served basis. To secure a place in the course(s) of your choice, we strongly recommend that you register early. Thanks to our cooperation with the Cologne Graduate School in Management, Economics and Social Sciences (CGS) of the University of Cologne,
doctoral students can obtain 3 ECTS credit points per one-week course. </span><o:p></o:p></p>
<p class="MsoNormal"><span style="font-size:11.5pt;color:#5F5F5F">For registration, please visit our website and sign up
</span><span lang="DE"><a href="https://training.gesis.org/?site=pDetails&pID=0xD06A3B3C765F41F790F6DFED58D35469" target="_blank"><span lang="EN-US" style="font-size:11.5pt;color:#E36C0A">here</span></a></span><span style="font-size:11.5pt;color:#5F5F5F">!<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.5pt;color:#5F5F5F"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="DE"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:9.0pt">Dr. Marlene Mauk<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:9.0pt">Scientific Coordinator<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:9.0pt">GESIS Spring Seminar<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:9.0pt">GESIS – Leibniz Institute for the Social Sciences<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:9.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="DE"><a href="mailto:springseminar@gesis.org"><span style="font-size:9.0pt">springseminar@gesis.org</span></a></span><span lang="DE" style="font-size:9.0pt"><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="DE" style="font-size:9.0pt">Tel. +49 221 47694-579<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="DE" style="font-size:9.0pt">Unter Sachsenhausen 6-8, 50667 Cologne, Germany<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="DE" style="font-size:10.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt">Please find our data protection information here:
</span><span lang="DE"><a href="https://www.gesis.org/en/institute/data-protection"><span lang="EN-US" style="font-size:10.0pt">https://www.gesis.org/en/institute/data-protection</span></a></span><span lang="DE" style="font-size:10.0pt">
</span><span style="font-size:10.0pt"><o:p></o:p></span></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><span style="font-size:11.5pt;color:#5F5F5F"><o:p> </o:p></span></p>
</div>
</body>
</html>