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Person
Person

Person

Felix Ettensperger (1985-)

Name

Felix Ettensperger

Time

1985- (Date of birth and death)

Place

Freiburg im Breisgau (Geburtsort)
Deutschland

Related

Albert-Ludwigs-Universität Freiburg. Seminar für Wissenschaftliche Politik
Politische Wissenschaft (Studienfach)

Further information

Diss. Philosophische Fakultät der Univ. Freiburg i. Br.

Record type

Person

GND-Identifier

1228840202

Record ID

1228840202

Involved in

show all

Pathways to low and high levels of government restrictions on religion: a fuzzy-set QCA of 155 countries

Pathways to low and high levels of government restrictions on religion: a fuzzy-set QCA of 155 countries

Exploring the conditions for youth representation: a qualitative comparative analysis of party parliamentary groups

Exploring the conditions for youth representation: a qualitative comparative analysis of party parliamentary groups

How to convince in a televised debate: the application of machine learning to analyze why viewers changed their winner perception during the 2021 German chancellor discussion

Introducing a New Dataset: Age Representation in Parliaments on the Party-Level

How to convince in a televised debate: the application of machine learning to analyze why viewers changed their winner perception during the 2021 German chancellor discussion

Identification of cross-country similarities and differences in regulation of religion between 2000 and 2014 with help of cluster analysis

Supervised and unsupervised machine learning methods in peace and security studies = Überwachte und unüberwachte maschinelle Lernmethoden in der Friedens- und Sicherheitsforschung

The Relationship Between Poverty and COVID-19 Infection and Case-Fatality Rates in Germany during the First Wave of the Pandemic

Editors’ Note

Boosting the understanding and approval of Anti‐Corona measures – reducing exponential growth bias and its effects through educational nudges

National internal security policies across Europe – a comparative analysis applying big data clustering techniques

Comparing supervised learning algorithms and artificial neural networks for conflict prediction: performance and applicability of deep learning in the field
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