معرفی
Alona Dolinsky is a Marie Curie Postdoctoral Research Fellow at the Vrije Universiteit Amsterdam's Department of Communication Science, affiliated with the Faculty of Social Sciences, Network Institute, and Communication Choices, Content and Consequences (CCCC) research group. She previously held a Postdoctoral Research Fellowship at University College Dublin’s School of Politics and International Relations (2021–2023). Her work focuses on comparative party politics, political representation, and computational text analysis methods. Dolinsky earned her PhD in Political Science from Johns Hopkins University (2021), with prior degrees from the Hebrew University of Jerusalem (B.A., M.A.) and Johns Hopkins University (M.A.).
Her research examines how political parties use group-based appeals in election materials to connect with voters, emphasizing computational methods like text-as-data. Key projects include the Horizon Europe-funded GAPREP project and contributions to the Horizon2020 OPTED Project. She leads the development of datasets such as the Parties’ Group Appeals Dataset (PGAD) and ManifestoVault, which analyze party manifestos and social group appeals across time and countries.
- Education:
- PhD in Political Science, Johns Hopkins University (2021)
- MA in Political Science, Johns Hopkins University (2020)
- MA in Political Science, Hebrew University of Jerusalem (2014)
- BA in Political Science, Hebrew University of Jerusalem (2012)
Her work bridges computational methods with theoretical questions about party representation, yielding insights into intra-party dynamics, candidate selection, and cross-national electoral strategies. Awards include the prestigious Marie Curie Fellowship, supporting her current research on group appeals and political representation.
Current projects include the GAPREP initiative and teaching Data Science courses (e.g., Visualization and Analytics in R). She collaborates on datasets like PGAD and ManifestoVault, advancing open-source research tools for political text analysis.
