Lena Dahlhaus
Latest Publication
Schnettler, S. & J. Huinink (2024). Biosocial and evolutionary approaches in sociology. Special Issue, Kölner Zeitschrift für Soziologie und Sozialpsychologie. SpringerVS. (Open Access)
Lena Dahlhaus
Curriculum Vitae
Lena Dahlhaus is Teaching staff for special tasks at the Institute of Social Sciences and offers courses in BA Social Sciences and MA Social Sciences in the field of "Methods of Empirical Social Research".
In addition to her didactic focus on statistics and methodology, she is interested in natural language processing, data visualisation, survey methodology and the integration of qualitative and quantitative methods.
Academic appointment
9/2023 - today
University of Oldenburg
School I - Institute of Social Sciences
Working Group Methods of Empirical Social Research
Teaching staff for special tasks (LfbA)
10/2022 - 8/2023
University of Oldenburg
School I - Institute of Social Sciences
Working Group Methods of Empirical Social Research
Project: Curated methodology for the "flipped classroom" in the 21st century
Research assistant
04/2022 - 9/2022
University of Bremen
Faculty 08 Social Sciences
Working Group Statistics and Empirical Social Research
Lecturer for Statistics
10/2021 - 1/2022
University of Oldenburg
School I - Institute of Social Sciences
Working Group Methods of Empirical Social Research
Teaching staff for special tasks (LfBA)
10/2019 - 3/2022
University of Bremen
Faculty 08 Social Sciences
Lecturer for Statistics I, Statistics II and Data Analysis with R
10/2018 - 09/2020
University of Bremen
Master's programme in Sociology and Social Research
10/2015 - 09/2018
University of Bremen
Bachelor's programme Sociology
Publications
Engel, U., & Dahlhaus, L. (2022). Artificial Intelligence and the Labour Market: Expected Development and Ethical Concerns in the German and European Context. In Robots in Care and Everyday Life - Future, Ethics, Social Acceptance. Springer.
Engel, U., & Dahlhaus, L. (2022). The Bremen AI Delphi Study. In Robots in Care and Everyday Life - Future, Ethics, Social Acceptance. Springer.
Bosse, S., Dahlhaus, L., & Engel, U. (2021). Web data mining: Collecting textual data from web pages using R. In Handbook of Computational Social Science, Vol. 2. Routledge.
Engel, U., & Dahlhaus, L. (2021). Data Quality and Privacy concerns in Digital Trace Data: Insights from a Delphi study on machine learning and robots in human life. In Handbook of Computational Social Science, Vol 1. Routledge.