Summary
Valerie Hase is a communication and digital media scholar with eight years of interdisciplinary experience at the intersection of computational social science, NLP, and digital journalism. Currently a Professor of Digital Media and Communication in Austria after a postdoc at LMU Munich’s Computational Communication Science lab, she combines rigorous quantitative methods with qualitative expertise from market and media research. Her work bridges academic inquiry and applied research—ranging from crisis communication and trust in journalism to text-as-data analyses of large digital trace datasets. Valerie earned a PhD from the University of Zurich and an MSc in quantitative methodology from LSE, underpinning her methodological depth. She frequently consults on strategic media projects and has a long-standing freelance practice that keeps her close to industry questions and real-world data. Notably, her profile reflects sustained engagement with both newsroom practices (ZDF, dpa) and computational lab work, a blend that informs pragmatic, policy-relevant scholarship.
7 years of coding experience
14 years of employment as a software developer
Master of Arts (M.A.), Master of Arts (M.A.) at Westfälische Wilhelms-Universität Münster
Doktor (Ph.D.), Doktor (Ph.D.) at Universität Zürich | University of Zurich
London School of Economics and Political Science
Bachelor of Arts (B.A.), Bachelor of Arts (B.A.) at Westfälische Wilhelms-Universität Münster / University of Muenster
German, English, Spanish, Latin, altgriechisch