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Nina Schlömer

Profilbild_Schlömer_2024_April

Researcher

Address
Garystr. 21
Raum 333
14195 Berlin

Office hours

Thursdays 3pm – 4pm, no prior appointment necessary. You are also welcome to contact me via email for a meeting outside of these office hours.

Education:

2023 –              Freie Universität Berlin

PhD student at the chair of Prof. Dr. Martin Gersch

2023                 Lancaster University, England, UK

Research stay at the Centre for Practice Theory

2023                 Freie Universität Berlin

"MINTA" doctoral scholarship

2019 – 2022     Freie Universität Berlin

M.Sc. Information Systems

2016 – 2019     Freie Universität Berlin

B.Sc. Business Administration

Practical Experience:

2023 –              Freie Universität Berlin

Research assistant at the chair of Prof. Dr. Martin Gersch

2020 – 2023     Freie Universität Berlin

Student assistant to the Master's Coordination of Information Systems

2021 – 2022     Freie Universität Berlin

Student assistant in BMG projects ReDiGe (Maturity Model for the Digitalization of Public Health Offices) and EvalDiGe (Evaluation of the Digital Maturity of Public Health Offices)

2021 – 2022     Berlin University Alliance

Tutor of the student-led X-Tutorial on Digital Transformation of Public Health Offices in Crisis

SoSe 2025

Service Engineering (Master)

Thesis Colloquium Information Management ("AKIM", Bachelor and Master)

WiSe 2024/25

Electronic Business (Master)

Digital Histories and Digital Futures: Tracing Digital Transformation (Story-)Lines (X-Student Research Group funded by the Berlin University Alliance, Bachelor and Master)

Thesis Colloquium Information Management ("AKIM", Bachelor and Master)

SoSe 2024

Service Engineering (Master)

Thesis Colloquium Information Management ("AKIM", Bachelor and Master)

Scientific Concepts and Methods in Information Systems (Bachelor)

Research Interests:

Digital Transformation (especially in public health and administration); Process Theories and Philosophy; Practice Theory; (Paradoxical) Tensions; Genealogical, Longitudinal, and Qualitative Research

Eymann, T., Fürstenau, D., Gersch, M., Kauffmann, A. L., Neubauer, M., Schick, D., Schlömer, N., Schulte-Althoff, M., Stark, J. & Von Welczeck, L. (2023). Das Reifegradmodell für den Öffentlichen Gesundheitsdienst – Ein Instrument zur Erfassung und Verbesserung des digitalen Reifegrades von deutschen Gesundheitsämtern. Bundesgesundheitsblatt: Gesundheitsforschung, Gesundheitsschutz, 66(2), 136–142. https://doi.org/10.1007/s00103-022-03643-7

Competence Center E-Commerce
Entrepreneurial Network University (ENU)
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CCEC-Online
ECDF
Department Information Systems