<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Computational-Social-Science on AD Blogdown</title><link>https://ad.vgiscience.org/links/tags/computational-social-science/</link><description>Recent content in Computational-Social-Science on AD Blogdown</description><generator>Hugo</generator><language>en-US</language><copyright>This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.</copyright><lastBuildDate>Tue, 22 Sep 2026 08:37:56 +0200</lastBuildDate><atom:link href="https://ad.vgiscience.org/links/tags/computational-social-science/index.xml" rel="self" type="application/rss+xml"/><item><title>CSS Workshop Dresden: Measuring Social Cohesion with Geo-Social Data</title><link>https://ad.vgiscience.org/links/posts/2026-09-22-css-slides/</link><pubDate>Fri, 18 Sep 2026 10:00:00 +0200</pubDate><guid>https://ad.vgiscience.org/links/posts/2026-09-22-css-slides/</guid><description>I gave a presentation at the internal workshop &amp;ldquo;Computational Social Science – Spatial Approaches and Perspectives&amp;rdquo;, organized by Diego Rybski (Urban Complexity group at the IOER) and Eckehard Olbrich (MPI-MIS Leipzig). The workshop brought together researchers working on complex systems, physics-based modeling, and network science.
My presentation was titled &amp;ldquo;Responsible Geo-Social Data for Measuring Social Cohesion&amp;rdquo;. With my formal habilitation lectures scheduled for mid-October at TU Dresden, I used this 30-minute slot as a trial run to test my narrative, argumentation, and slide structure.</description></item></channel></rss>