I am a sociologist and PostDoc at GESIS – Leibniz Institute for the Social Sciences. I work on georeferenced (survey) data, tackling the emerging field of GIS in the social sciences from different angles: use, data management, and, most importantly, application in social research. To this end, I apply analytical skills from diverse and foreign disciplines, such as ecology and engineering, for substantial research in social inequality, ethnic discrimination, or environmental and urban sociology.

Interests

  • Social & Environmental Inequalities
  • Attitudes Towards Minorities
  • Neighborhood Effects
  • Geographic Information Systems (GIS)
  • Research Data Management
  • Open Science & Reproducible Research

Education

  • Dr. rer. pol. in Social Sciences, 2019

    University of Cologne, Germany

  • Magister Artium in Sociology, Cultural Anthropology, and Philosophy, 2012

    University of Cologne, Germany

Skills

Statistics

Advanced

R

Advanced

Python

Getting along

GIS

Advanced

Data Management

Advanced

GNU/Linux

Profound

Git

Getting along

Experience

 
 
 
 
 

Postdoc

GESIS - Leibniz Institute for the Social Sciences
Department Data Archive, Team Data Linking & Data Security

Jan 2019 – Present
Postdoctoral researcher for georeferencing
 
 
 
 
 

PhD Student

GESIS - Leibniz Institute for the Social Sciences
Department Data Archive, Team Data Linking & Data Security

Mar 2017 – Jan 2019
Researcher in the DFG project “SoRa - Sozial-Raumwissenschaftliche Forschungsdateninfrastruktur”
 
 
 
 
 

PhD Student

GESIS - Leibniz Institute for the Social Sciences
Department Data Archive, Team Data Linking & Data Security / National Surveys

Mar 2015 – Feb 2017
Researcher in the DFG project “GeorefUm - Georeferenzierung von Umfragedaten”
 
 
 
 
 

Data Curator

GESIS - Leibniz Institute for the Social Sciences
Department Data Archive, Archive Operations

Mar 2013 – Feb 2015
Data Ingest and Data Preparation

Recent Publications

(2021). Data Linking - Linking survey data with geospatial, social media, and sensor data. GESIS Survey Guidelines, GESIS – Leibniz Institute for the Social Sciences, https://doi.org/10.15465/gesis-sg_en_039.

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(2021). Der Halo Effekt in Deutschland - Revisited. Sind Menschen, die in der Nähe von - aber nicht in - ethnisch diversen Nachbarschaften leben besonders xenophob und rassistisch?. Differenz im Raum, Janna Teltemann and Hanno Kruse (Eds.), Wiesbaden: Springer VS (in press).

(2020). Subjektiv geschätzter und tatsächlicher Ausländeranteil in der Nachbarschaft: Analysen mit dem georeferenzierten ALLBUS 2016 und dem Zensus 2011. Die Empirische Sozialforschung in Zeiten der Digitalisierung - Methodische Konsequenzen neuer Technologien der Datenerhebung, Arbeitsgemeinschaft Sozialwissenschaften (Eds.), Wiesbaden: Springer VS (in press).

(2020). Georeferencing the GESIS Panel: Background, Workflow, and Analysis Example. GESIS Papers, 2020|10, GESIS – Leibniz Institute for the Social Sciences, https://doi.org/10.21241/ssoar.69336.

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(2020). An Infrastructure for Spatial Linking of Survey Data. Data Science Journal, (19), 1, 27, https://doi.org/10.5334/dsj-2020-027.

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