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DeAngelisA/README.md

Hi there 👋

I'm Andrea De Angelis, currently an SNF Ambizione Researcher in the Department of Political Science at the University of Zurich. Welcome to my GitHub profile!

  • 🔭 I’m currently working on: The project “Political Misinformation in the Digital Age,” funded by the Swiss National Science Foundation. My research focuses on political misinformation, media change, dealignment, and the personalization of politics in European democracies.

  • 🌱 I’m currently learning: How to use LLMs for my teaching and research (ideas are welcome!).

  • 👯 I’m looking to collaborate on: Projects at the intersection of political science, computational methods, and digital media. I am especially interested in collaborations that explore the dynamics of political misinformation and media effects on electoral decisions.

  • 🤔 I’m looking for help with: Expanding my research in the area of political misinformation in a global context, especially studies outside the U.S. and Switzerland/Europe.

  • 💬 Ask me about: Electoral politics, media effects, political misinformation, and computational methods in social science research.

  • 📫 How to reach me: Email me at deangelis@ipz.uzh.ch or connect with me on LinkedIn.

  • Fun fact: I am training to run my first marathon!

Languages and Tools:

  • R, Python, HTML, CSS, HTTP, Git, LaTeX, Markdown, Stata, JAGS, Stan, MATLAB
  • Multilingual with proficiency in Italian, English, Spanish, plus some German, and French.

Recent Publications:

  • De Angelis A. and Vecchiato A. (2023). ”Panem et Circenses: Removing Political News to Generate Electoral Support, Evidence from Berlusconi’s Italy.” Fortcoming at the Italian Political Science Review.
  • De Angelis A. et al. (2022). “Political Misinformation in the Digital Age During a Pandemic: Partisanship Propaganda and Democratic Decision-Making.” OA Edited Volume at Frontiers in Political Science. Read the editorial here.
  • Garzia D. et al. (2021). “Leaders without Partisans: Dealignment, Media Change and the Personalization of Politics.” Colchester: Rowman & Littlefield/ECPR Press. OA version available at Cadmus.
  • De Angelis, A. (2020). “How Voters Distort their Perceptions and Why this Matters.“ In: Suhay, E., Grofman, B., and Trechsel, A., The Oxford Handbook of Electoral Persuasion, pp. 946-976. Pre-print available here, published version here.

Awards and Distinctions:

  • Gordon Smith and Vincent Wright Memorial Prize for the best papaer published on West European Politics (2022)
  • Swiss National Science Foundation Ambizione Grant (2022-2026)
  • Honorary mention for teaching excellence by the University of Lucerne (2022)

Popular repositories

  1. ISSS23 ISSS23 Public

    Material for the lecture "Introduction to Statistics for the Social Sciences"

    12 3

  2. DeAngelisA.github.io DeAngelisA.github.io Public

    Forked from academicpages/academicpages.github.io

    Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

    JavaScript 1 1

  3. info_DA2020 info_DA2020 Public

    1

  4. covidRTPCR covidRTPCR Public

    Forked from HopkinsIDD/covidRTPCR

    Analysis of RT-PCR sensitivity by day since exposure or symptom onset

    Stan 1

  5. PolData PolData Public

    Forked from erikgahner/PolData

    A dataset with political datasets

    R 1 1

  6. data data Public

    Forked from fivethirtyeight/data

    Data and code behind the stories and interactives at FiveThirtyEight

    Jupyter Notebook