Quantifying Ideological Polarization on a Network Using Generalized Euclidean Distance
Marilena Hohmann, Karel Devriendt, Michele Coscia
Science Advances, 2023


    Estimating affective polarization on a social network
    Marilena Hohmann, Michele Coscia
    The International Conference on Complex Networks and their Applications, Palermo, November 2022

    Who cares about Brüssel? Bedeutung transnationaler Interessenvertretung bei europäischen Medienunternehmen und -verbänden [Who cares about Brussels? On the importance of transnational lobbying in European media companies and associations]
    Leyla Dogruel, Marilena Hohmann
    Annual conference of Netzwerk Medienstrukturen, Leipzig, October 2018


I have been a teaching assistant for the courses listed below.

Social Data Science Base Camp

University of Copenhagen (2022)

Mandatory first-year course (15 ECTS) of the MSc in Social Data Science. The course offers an in-depth introduction to data analysis in Python, including basic principles of programming, data collection via scraping and APIs, data wrangling, visualization, and regression analyses.

Python Tsunami

University of Copenhagen (2020-2022)

3-day course for researchers at the Faculty of Health and Medical Sciences, organized by the Center for Health Data Science. The course introduces data structures in Python, iterables, conditional and flow control statements, pandas, and visualization.

Intro to Academic Writing

Freie Universität Berlin (2019-2020)

Mandatory first-year course of the BA in Media and Communication Studies. The course covers the basics of academic writing, including literature databases, references, and argumentation, reading, and writing strategies.