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GESIS<p><a href="https://sciences.social/tags/GESISblog" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GESISblog</span></a> <a href="https://sciences.social/tags/blog" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>blog</span></a> <a href="https://sciences.social/tags/KODAQS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>KODAQS</span></a><br>New post on the GESIS Blog: Peters, Shah and Weller write about the challenges of dealing with new data sources</p><p>In the course of datafication, social scientists are confronted with the increasing availability of digital behavioral data (DBD). Social media platforms, mobile apps, and sensors offer rich insights into human behavior, but these new data sources come with significant challenges in terms of quality.</p>
GESIS<p><a href="https://sciences.social/tags/DataFest2025" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataFest2025</span></a> <a href="https://sciences.social/tags/KODAQS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>KODAQS</span></a> <a href="https://sciences.social/tags/DataQuality" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataQuality</span></a><br>Data Fest 2025, which takes place from 28 to 30 March at the Ludwig-Maximilians-Universität in Munich, is getting closer. KODAQS is officially taking part for the first time this year. The competition offers students the opportunity to work on extensive data sets in teams of 3-5 people within 48 hours. Kodaqs will contribute with a team of experts to measure and analyse the data quality.<br><a href="https://www.datafest.de/home" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">datafest.de/home</span><span class="invisible"></span></a></p>