Julia Partheymüller
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schnizzl.bsky.social
Julia Partheymüller
@schnizzl.bsky.social
7.6K followers 9K following 640 posts
Senior Scientist at the Department of Government at the University of Vienna #AUTNES 🇦🇹
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schnizzl.bsky.social
👀 Political Sciences at University of Vienna ranked #33 worldwide... www.shanghairanking.com/rankings/gra...

@univie.ac.at #rankings
Screenshot of the 2025 ShanghaiRanking Global Ranking of Academic Subjects in Political Sciences. The table shows ETH Zurich ranked #31, Johns Hopkins University at #32, Leiden University and the University of Vienna tied at #33, and University College London at #35.
November 19, 2025 at 10:18 AM
schnizzl.bsky.social
Interessante neue Studie zu #TikTok im Bundeswahlkampf #BTW2025 ⚠️

Wie stark Parteien im Feed auftauchen – verglichen mit dem, was sie hochladen:

1️⃣ Linke 🔺 2,85×
2️⃣ BSW 🔺 2,68×
3️⃣ AfD 🔺 1,74×
4️⃣ SPD 🔻 0,59×
5️⃣ Grüne 🔻 0,38×
6️⃣ CDU/CSU 🔻 0,29×
7️⃣ FDP 🔻 0,18×

www.bertelsmann-stiftung.de/de/unsere-pr...
Sankey-Diagramm mit dem Titel „Exposure der Videos offizieller Parteiaccounts auf TikTok“. Links sind die prozentualen Anteile der von Parteien hochgeladenen Videos dargestellt, rechts die Anteile der Videos, die im TikTok-Feed aufgetreten sind. AfD: 21,5 % der Uploads → 37,4 % im Feed (starke Verstärkung) BSW: 3,1 % → 8,3 % (deutliche Verstärkung) CDU/CSU: 17,1 % → 4,9 % (stark reduziert) FDP: 7,6 % → 1,4 % (sehr stark reduziert) Grüne: 16,8 % → 6,3 % (stark reduziert) Linke: 9,7 % → 27,6 % (starke Verstärkung) SPD: 24,1 % → 14,1 % (stark reduziert) Farben: AfD (blau), BSW (orange), CDU/CSU (grau), FDP (gelb), Grüne (grün), Linke (magenta), SPD (rot). Quelle: PolSocial-Data 2025, Bertelsmann Stiftung.
November 7, 2025 at 8:50 AM
schnizzl.bsky.social
Happy Halloween! 🎃😱👻
Pumpkin-Punch-Krapferl
October 31, 2025 at 6:46 PM
schnizzl.bsky.social
Neue FWF-Studie (vorgestellt im Sept.) zu Postdocs bestätigt, was wir seit Jahren sagen:

- 82 % finden die Karriereperspektiven zu unsicher,
- 91 % fordern mehr unbefristete Stellen unterhalb der Professur.

Das Problem ist bekannt – wann wird es endlich gelöst? 🤷‍♀️

#IchBinHanna @nuwiss.bsky.social
Balkendiagramm aus der FWF-Studie 2025 zur Situation des wissenschaftlichen Nachwuchses. Zur Aussage „Die Karriereperspektiven sind zu unsicher“ (Wert 5) stimmen 64 % voll und ganz und 18 % eher zu (Wert 4). Balkendiagramm aus der FWF-Studie 2025 zu Reformvorschlägen im Wissenschaftssystem. 91 % befürworten den Ausbau unbefristeter Stellen unterhalb der Professur (davon 76 % voll und ganz + 15 % eher).
October 31, 2025 at 11:00 AM
schnizzl.bsky.social
🔊 ub:talks – Contrarian Scientists: Desinformation durch Wissenschaft?

📅 Do, 23.10.2025, 18:00
📍 Erika-Weinzierl-Saal, Universitätsring 1, Wien
🎙️ Mit @schnizzl.bsky.social & @dietmarpichler.bsky.social
ℹ️ Um Anmeldung wird gebeten: bibliothek.univie.ac.at/events/00842...
Illustration mit dem Profil einer Person, die einer Hand mit Megafon gegenübersteht, aus dem Schallwellen austreten. Im Vordergrund stehen zwei Laborgefäße, ein konisches und ein zylindrisches. Der Hintergrund zeigt kräftige Rot-, Orange- und Blautöne mit Punktmuster. Rechts steht der Text „ub: talks“ neben Symbolen für Sprechblasen und Kommunikation.
October 19, 2025 at 2:40 PM
schnizzl.bsky.social
Cute 🥰
October 14, 2025 at 4:10 PM
schnizzl.bsky.social
Good morning, #APSA2025! 🗻🌊☀️
Mountain and ocean view near the Vancouver Convention Center. Blue sky, blue sea. A few small white clouds near the mountain.
September 12, 2025 at 4:16 PM
schnizzl.bsky.social
Greetings from #APSA25 in Vancouver! 🐋🌊⛅️
View through large glass windows at the Vancouver Convention Centre, showing the outdoor sculpture of a breaching pixelated orca against a cloudy sky and waterfront backdrop.
September 11, 2025 at 5:18 PM
schnizzl.bsky.social
🧪 🗳 New in Scientific Data

"The #AUTNES Online Panel Study 2017–2024: A Dataset of Austrian Voter Attitudes and Behavior”

The new data descriptor offers background on study design & data quality.

➡️ doi.org/10.1038/s415...

📂 Dataset: doi.org/10.11587/HNU...

#OpenScience @aussda.bsky.social
Screenshot of the Scientific Data journal article titled “The AUTNES Online Panel Study 2017–2024: A Dataset of Austrian Voter Attitudes and Behavior” by Julia Partheymüller, Sylvia Kritzinger, and Markus Wagner. The page header shows the journal logo “scientific data” and the label “DATA DESCRIPTOR | OPEN.” The abstract states that the AUTNES Online Panel Study is a longitudinal survey of Austrian voter attitudes and behavior across election cycles from 2017 to 2024, providing data on study design, representativeness, and panel participation.
August 28, 2025 at 8:32 AM
schnizzl.bsky.social
SEM analysis showed both technocratic overreach and blame deflection were linked to lower support for COVID measures.

But underlying attitudes differ:
🔹 Technocratic overreach mainly tied to low trust in science
🔹 Blame deflection tied to low trust in government – while supporting technocracy

7/10
Structural equation model showing that both technocratic overreach and blame deflection are negatively associated with support for COVID-19 measures. Technocratic overreach is strongly predicted by low trust in science, while blame deflection is linked to low trust in government and higher support for technocracy. Significant paths are bolded.
August 5, 2025 at 1:55 PM
schnizzl.bsky.social
We used Confirmatory Factor Analysis (CFA) to test whether our indicators reliably captured the underlying concepts. The theoretical model fit the data well, with only minor modifications.

6/10
Path diagram showing the measurement model for four latent constructs: technocratic overreach, blame deflection, support for technocracy, and support for COVID-19 measures. Standardized loadings and covariances indicate strong internal consistency and expected relationships. Cross-loadings for two items (over3 and def3) are included to improve model fit.
August 5, 2025 at 1:55 PM
schnizzl.bsky.social
Public support for technocratic governance was surprisingly strong. Few believed the government relied too heavily on scientists.

But concerns about blame shifting, using science as political cover, were fairly widespread.

5/10
Stacked bar chart showing levels of agreement with eight statements about technocratic governance, science, and politics during COVID-19. High support is shown for expert-based decision-making; blame deflection perceptions are more widespread than concerns about technocratic overreach. Data from Wave 35 of the Austrian Corona Panel Project (June/July 2023).
August 5, 2025 at 1:55 PM
schnizzl.bsky.social
Using data from the Austrian Corona Panel Project (#ACPP ➡️ doi.org/10.11587/28K...), we found:

🔹 Trust in science remained high.
🔹 Trust in government declined.

4/10
Line chart showing average trust levels in Austria from 2020 to 2023. Trust in government declined from 7.1 to 3.3. Trust in science remained relatively stable, decreasing from 7.0 to 6.0.
August 5, 2025 at 1:55 PM
schnizzl.bsky.social
During COVID, experts played a major role in policy-making. But as the pandemic dragged on, public support for containment measures declined.

Was that because experts overstepped their role or because politicians avoided accountability?

2/10
Line chart showing support for COVID-19 measures in Austria from 2020 to 2023. In March 2020, about 87% of respondents found the measures appropriate or not strong enough, and 94% considered them rather or very effective. Both values declined over time, with fluctuations during infection waves. By June 2023, support had dropped to 62% (appropriateness) and 70% (effectiveness).
August 5, 2025 at 1:55 PM
schnizzl.bsky.social
🚨New Publication

Perceptions of Science and Politics During the COVID-19 Pandemic in Austria: Technocratic Overreach or Blame Deflection? 🧪

By @schnizzl.bsky.social, @jamoeberl.bsky.social & Alexander Bogner

➡️ doi.org/10.1007/s116...

🧵1/10
Abstract: Science and politics function as distinct yet structurally interconnected social systems, creating a delicate need to balance expertise and democratic representation. The COVID-19 pandemic exposed tensions in this relationship, with initial public support for containment measures giving way to growing skepticism. This paper explores two distinct perspectives on this development: (1) the technocratic overreach perspective, which attributes low support to perceptions that experts overstepped their role in political decision-making; and (2) the blame-deflection perspective, which links it to the perception that politicians strategically used appeals to scientific authority to shield themselves from criticism. Using survey data from the Austrian Corona Panel Project, we test hypotheses derived from these contrasting perspectives to better understand public concerns surrounding the boundary between science and politics during the pandemic. Our findings show that both technocratic overreach and blame deflection perceptions are associated with lower support for mitigation measures, but the patterns of underlying attitudes differ. Perceptions of technocratic overreach were associated with low trust in science, but overall levels of trust in science remained high and stable, suggesting that overreach perceptions stemmed primarily from pre-existing skepticism toward science rather than concerns about technocratic policy-making during the pandemic. In contrast, perceptions of blame deflection were related to low trust in government, which strongly declined during the pandemic. Overall, the study identifies crisis management as a key area where a clearer demarcation between science and politics is needed.
August 5, 2025 at 1:55 PM
schnizzl.bsky.social
Ente gut, alles gut! #popfest
FM4 Ente mit Kopfhörern
July 26, 2025 at 8:46 PM
schnizzl.bsky.social
Nass und grau ⛈️
July 24, 2025 at 3:44 PM
schnizzl.bsky.social
July 17, 2025 at 6:28 PM
schnizzl.bsky.social
📚 Neue Studie erschienen

"Wie lässt sich konstruktiv mit verhärteten Wissenskonflikten umgehen? Eine quantitativ-qualitative Studie zur Wissenschaftsskepsis"

Mit Alexander Bogner, Agnes Kirchner, Katharina Miko-Schefzig, Michaela Pfadenhauer & Markus Trimmel

🔗 epub.oeaw.ac.at?arp=0x00407b20
Titelblatt eines Berichts des Instituts für Technikfolgen-Abschätzung (ITA) der Österreichischen Akademie der Wissenschaften (ÖAW). Der Titel lautet: „Wie lässt sich konstruktiv mit verhärteten Wissenskonflikten umgehen? Eine quantitativ-qualitative Studie zur Wissenschaftsskepsis“. Oben links sind das ÖAW-Logo und die Webadresse www.oeaw.ac.at zu sehen. Rechts unten steht das ITA-Logo. Erscheinungsort und -datum: Wien, Juli 2025, ITA-25-02.
July 14, 2025 at 3:19 PM
schnizzl.bsky.social
Zu heiß für mich… 🥵
Madrid - 38 Grad
June 28, 2025 at 3:13 PM
schnizzl.bsky.social
Saturday morning panel under way! 😎 #EPSA2025
Screenshot of the EPSA program: 09:30 - 11:10 P11-S284 GENPOL - Gender Stereotypes in the Legislative Branch Room: 0A.10 Chair/s: Joseph Francesco Cozza Discussant/s: Mirya R Holman P11-S284-1 Behind the Vote: The Relative Importance of Descriptive and Substantive Representation for Gender-Based Voting › Eleanor Woodhouse, University College London, Lotte Hargrave, University of Manchester P11-S284-2 Who Supports Female Candidates? Evidence from a Conjoint Experiment of Gender Affinity in the 2024 UK Election › Alejandro Tirado Castro, Institute of Public Goods and Policies (CSIC) P11-S284-3 Is There Gender Bias in Voter Reactions to Political Blunders? An Experimental Study › Sylvia Kritzinger, University of Vienna P11-S284-4 Environmental Disasters, Gender, and Incumbency Punishment › Emily Elia, University of Gothenburg
June 28, 2025 at 7:40 AM
schnizzl.bsky.social
Bienvenidos a Madrid! #EPSA2025
Cibeles fountain in Madrid at night
June 25, 2025 at 10:10 PM
schnizzl.bsky.social
📢 Final #ACPP dataset now available via @aussda.bsky.social

🔍 Tracked how people in Austria experienced COVID-19
📅 35 waves (Mar 2020–Jul 2023)
👥 ~1,500 interviews per wave
🌍 English translations

📂 SUF: doi.org/10.11587/28K...
📖 OA: doi.org/10.11587/P5Y...
📊 Explore: woco.univie.ac.at/dashboard/
Screenshot of the AUSSDA data archive page for the Austrian Corona Panel Project (SUF edition), version 7.0. Lists the project team, citation, description, keywords, and notes. Highlights 35 waves of panel data from March 2020 to July 2023 with German and English translations. Dataset has over 6,700 downloads. Links to the SUF version: https://doi.org/10.11587/28KQNS. Screenshot of the AUSSDA data archive page for the Austrian Corona Panel Project (OA edition), version 7.0. Includes project details, citation, keywords, and notes. Indicates it's a reduced open access version covering 35 waves of COVID-19-related panel data in Austria with German and English translations. Dataset has over 4,100 downloads. Links to the OA version: https://doi.org/10.11587/P5YJ0O.
June 19, 2025 at 8:57 AM
schnizzl.bsky.social
Also falls sich jemand der Entbürokratisierung verpflichtet fühlt, hier eine Idee... 😉
User: Ist das mit der A1 Bescheinigung für Konferenz-Reisen nicht ein überflüssiger bürokratischer Wahnsinn? Und könnte man das nicht leicht EU-weit vereinfachen? ChatGPT: Ja, für Konferenzreisen ist die A1-Bescheinigung oft unnötiger bürokratischer Aufwand, da es keine reguläre Arbeitsleistung ist. Eine EU-weite Vereinfachung oder Ausnahme für solche Kurzaufenthalte wäre sinnvoll und könnte den administrativen Aufwand erheblich reduzieren.
May 24, 2025 at 12:11 PM
schnizzl.bsky.social
Heute: Data Science Day 2025 🎉
May 23, 2025 at 1:05 PM