Ramona Roller

rroller@ethz.ch

ETH Zurich
Chair of Systems Design
WEV G 205
Weinbergstrasse 56/58
8092 Zurich
@ramona_roller

I am a Ph.D. candidate at the Chair of Systems design at ETH Zurich where I work on data-driven models of socio-historical systems. Currently, I focus on a temporal network model of letter correspondences during the European Reformation. I try to understand the underlying communication patterns which gave rise to the spreading of ideas at that time. Specifically challenging in this respect are the sampling bias of the data, as not all historical artifacts are equally likely to survive over time, and capturing the temporal sequence in which historical actions occurred. By developing statistical methods I aim to address these challenges and provide better insights into socio-historical phenomena.
Holding a Bachelor in Psychology with Cognitive Science (University of Sussex) and a Master in Computational Science (University of Amsterdam) I aim to combine these diverse backgrounds to study complex systems in an interdisciplinary manner.

CV»

Talks»

Talks

Network regression reveals factors driving the letter communication of 16th century reformers [July 15, 2019 - July 19, 2019]

Amsterdam

pdf

A workflow for automated vectorisation of raster maps [June 17, 2019 - June 19, 2019]

Vienna

pdf

Das Briefkorrespondenznetzwerk der Reformatoren [Jan. 21, 2019 - Jan. 22, 2019]

Heidelberg

pdf


Research Plan»

The European Reformation was a major transformative movement in the 16th century which overthrew the monopoly of the Catholic Church. Due to this and other major social transformations, the Reformation provides and example of social change, a change in social relations between people which transforms social institutions. Within my doctoral thesis I will analyse exemplary driving factors of this social change from a network perspective.
These factors include:

  • inner-protestant conflicts, like the one between the Lutherans and the Reformed denominations.
  • social differentiation, a process in society, where people increasingly become more specialised in the tasks and roles they fulfil.
  • confessional formation, the adoption and institutionalisation of Protestantism.
  • individual mobility of reformers.

Besides this content-based focus, I will also address the methodological problem of "unobserved" data. Since historical records are subject to the selection bias, our resulting data samples may be unrepresentative for the Reformation as a whole and bias our analysis. Within my doctoral thesis I will quantify this bias and explore methods for network reconstruction.

My full research plan, describing the research topic, the research gap and research questions in more detail, can be found here.