Biografie

Ich bin Doktorandin im Computational Social Science Team unter der Leitung von Camille Roth am Centre Marc Bloch (Berlin). Im Rahmen des ERC-Projekts socsemics konzentriert sich meine Forschung auf die mathematische Beschreibung und Kategorisierung von socio-semantic clusters in öffentlichen Online-Räumen: Gruppierungen von Nutzern, die nicht nur in Bezug auf soziale Interaktionen von der breiteren Konversation getrennt sind, sondern womöglich inhaltlich immer weniger mit Meinungen außerhalb der Gruppe in Kontakt kommen.   Im Frühjahr 2016, während meines Studiums zum MSc in Mathematical Modelling and Scientific Computing an der University of Oxford, begann ich erstmals, numerische Methoden für die Analyse von Online-Debatten einzusetzen. Zu dieser Zeit drehte sich die öffentliche Debatte im Vereinigten Königreich um das polarisierende Thema des EU-Referendums, was mich motivierte, mich bezüglich meiner Forschung in Richtung Computational Social Science zu bewegen und Online-Diskussionen, ihre mögliche Fragmentierung und die daraus resultierende Polarisierung zu untersuchen. Im Rahmen meiner Dissertation habe ich Methoden aus den Bereichen komplexe Netzwerke, Informationstheorie und Natural Language Processing eingesetzt, um Tweets rund um die Brexit-Debatte zu analysieren und das Zusammenspiel zwischen isolierten Nutzergruppen und semantischen Kategorien aus Textdaten zu analysieren.  Nach meinem Masterabschluss arbeitete ich einige Jahre in einem Computational Social Science Kontext in einer nicht-akademischen Umgebung, zunächst als Data Scientist für die britische Labour Party und später für ein Social Data Science Start-up in Kolumbien.  ;

I am a PhD student in the Computational Social Science Team lead by Camille Roth, at Centre Marc Bloch (Berlin). In the context of the ERC socsemics project, my research focuses on the mathematical description and categorisation of socio-semantic clusters in online public spaces: subgroups of users not only segregated from the wider conversation in terms of social interaction but also separated from (and less exposed to) opinions and content outside of their group.  I first began using computational methods in the context of studying online debates in the spring of 2016, while I was studying for an MSc in Mathematical Modelling and Scientific Computing at the University of Oxford. It was a time in which the public debate in the United Kingdom was revolving around the polarising issue of the EU referendum – a topic that motivated me to venture into the field of computational social science in the broader sense, and to study online conversations, their potential fragmentation and resulting polarisation more specifically. As part of my thesis, I used methods from complex networks, information theory and natural language processing (amongst others) to analyse tweets surrounding the Brexit debate and to investigate the interplay between isolated social communities of users and semantic categories identified from text data.   More recently, I spent a number of years working within a computational social science context outside of academia, first as a data scientist for the UK Labour Party and later for a socially focused start-up in Colombia. ;

I am a PhD student in the Computational Social Science Team lead by Camille Roth, at Centre Marc Bloch (Berlin). In the context of the ERC socsemics project, my research focuses on the mathematical description and categorisation of socio-semantic clusters in online public spaces: subgroups of users not only segregated from the wider conversation in terms of social interaction but also separated from (and less exposed to) opinions and content outside of their group.  I first began using computational methods in the context of studying online debates in the spring of 2016, while I was studying for an MSc in Mathematical Modelling and Scientific Computing at the University of Oxford. It was a time in which the public debate in the United Kingdom was revolving around the polarising issue of the EU referendum – a topic that motivated me to venture into the field of computational social science in the broader sense, and to study online conversations, their potential fragmentation and resulting polarisation more specifically. As part of my thesis, I used methods from complex networks, information theory and natural language processing (amongst others) to analyse tweets surrounding the Brexit debate and to investigate the interplay between isolated social communities of users and semantic categories identified from text data.   More recently, I spent a number of years working within a computational social science context outside of academia, first as a data scientist for the UK Labour Party and later for a Social Data Science start-up in Bogota, Colombia.