Image credit: Hermann, Pixabay license Image credit: Hermann, Pixabay license

Third-Party Funded Grants & Awards

Third-Party Funded Grants

“Integrating Data Donation in Survey Infrastructure: Quantifying, Explaining, and Addressing Errors in Representation and Measurement”

  • PIs:
    • Valerie Hase (Postdoc, Department of Media and Communication, LMU Munich)
    • Florian Keusch (Professor of Social Data Science and Methodology, Faculty of Social Sciences, University of Mannheim)
    • Frauke Kreuter (Professor of Statistics and Data Science, Department of Statistics, LMU Munich & Professor at the Joint Program in Survey Methodology at the University of Maryland, USA)
    • Mark Trappmann (Professor of Survey Methodology, University of Bamberg & Head of the Research Department “Panel Study Labour Market and Social Security”, Institute for Employment Research)
  • Funded by: the German Research Foundation (DFG)
  • Funding: 600 000 EUR
  • Funding period: 2024-2027

“Research Monitor”

  • PIs: Valerie Hase (Postdoc, Department of Media and Communication, LMU Munich)
  • Funded by: Media Authority of North Rhine-Westphalia
  • Funding: 47 000 EUR
  • Funding period: 2023-2024

Awards

  • “Wolfgang Donsbach Award – Honorable Mention”: International Communication Association, 2024, for “Adapting to Affordances and Audiences? A Cross-Platform, Multi-Modal An Analysis of the Platformization of News on Facebook, Instagram, Tik Tok and Twitter”. (co-authored with K. Boczek & M. Scharkow)

  • “Top Paper Award” & Top 3 Finalist Bob Franklin Journal Article Award”: Digital Journalism, Journalism Studies, and Journalism Practice, 2024, for “Adapting to Affordances and Audiences? A Cross-Platform, Multi-Modal An Analysis of the Platformization of News on Facebook, Instagram, Tik Tok and Twitter”. (co-authored with K. Boczek & M. Scharkow)

  • “Top Paper Award”: Computational Methods Division of the International Communication Association, 2023, for “Automated Content Misclassification Causes Bias in Regression. Can We Fix It?”” Yes We Can! (co-authored with N. TeBlunthuis & Chung-Hong, C.)

  • “Teaching Award” by the University of Zurich: 2021, for “Text as Data Course

  • “Teaching Award” by the University of Zurich: 2020, for “Text as Data Course”


Dr. Valerie Hase
Dr. Valerie Hase
Postdoctoral Scholar / Akademische Rätin a.Z.