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Humboldt-Universität zu Berlin - IRI THESys

Janine Hauer

Doctoral Researcher
Transforming Rice Ecologies


  • Ethnography
  • Urban transformation and urban futures
  • Hope and hoping


"“IRI THESys has been key to my personal academic path so far. After being a member of the 1st Deutschlandstipendium-Themenklasse I got the chance to do a research project at IRI THESys for my Master thesis and I now started my PhD at the institute. The constant need to make my approach understood, and to follow the arguments of my colleagues have convinced me that it is only through ongoing collaboration, exposure of my own assumptions, and generative critique that contemporary challenges can be met.” Janine Hauer

Janine Hauer is a doctoral researcher at IRI THESys. She graduated as a Master of Arts in European Ethnology at Humboldt-Universität zu Berlin in October 2015 with a thesis entitled: Landscapes of Hope: Urban Expansion in Ouagadougou, Burkina Faso. From October 2015 to November 2016 she worked as a Course Coordinator and Junior Lecturer at the Institute for European Ethnology at HU.

Since 21 November 2016, Janine Hauer is at IRI THESys and works in the Research Group “Integrative Geography”, led by Jonas Nielsen. Her PhD project will focus on rice consumption and production linkages and how post food price crisis changes affect lands and lives. She is especially interested in how large-scale phenomena such as land use change and markets can be addressed ethnographically and how these insights can be connected to broader discussions across different disciplines. 

Selected Publications

Hauer, J., Nielsen, J. Ø., & Niewöhner, J. (2018). Landscapes of Hoping – Urban Expansion and Emerging Futures in Ouagadougou, Burkina Faso. Anthropological Theory, 18(1), 59-80. doi: 10.1177/1463499617747176  

Schug, F., Okujeni, A., Hauer, J., Hostert, P., Nielsen, J. Ø., & van der Linden, S. (2018). Mapping Patterns of Urban Development in Ouagadougou, Burkina Faso, Using Machine Learning Regression Modeling with Bi-seasonal Landsat Time Series. Remote Sensing of Environment, 210, 217-228. doi: https://doi.org/10.1016/j.rse.2018.03.022

THESys Project