Dr. Fillipe Oliveira Feitosa

Innovation and Project Manager

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Projekt:Erasmus Mundus
Raum:248
E-Mail:fillipe.feitosa@uni-muenster.de
Telefon:+49 251 83-
Über:
  • PhD in Public Policies and Urban Planning, University of Aveiro, Portugal (2023);
  • Software Engineering, University of Brasília, Brazil (2016)


Research interests: spatial justice, housing affordability and financialisation, access to essential services, data science for public policy

Expertise: spatial data science, spatial statistics and spatial weights, accessibility modelling, location-allocation and optimisation, decision support systems, software engineering

Current projects:

  • Conceptual and empirical foundations of spatial weights
  • Housing pressure in Münster and Gelsenkirchen
  • Health service continuity during dengue outbreaks in Brazil (with Fiocruz)

Teaching: Introduction to Software Programming, Geosoftware I and II, Spatial Justice and Decision Support Systems, Project Management

Recent publications

  1. Feitosa, F. O., & Westerholt, R. (2025). Context over convenience: a critical perspective on spatial weights in applied spatial research. GIScience 2025 Abstracts, Christchurch, New Zealand. https://doi.org/10.5281/zenodo.16799256
  2. Westerholt, R., & Feitosa, F. O. (2025). A hermeneutic review of how spatial weights are conceptualised in GIScience. GIScience 2025 Abstracts, Christchurch, New Zealand. https://doi.org/10.5281/zenodo.16798101
  3. Feitosa, F. O., Wolf, J.-H., & Marques, J. L. (2024). Operationalizing spatial justice in urban planning: bridging theory with practice. Urban Research & Practice, 17(5), 720–736. https://doi.org/10.1080/17535069.2024.2341254
  4. Feitosa, F. O., Batista, P., & Marques, J. L. (2023). How to assess spatial injustice: Distinguishing housing spatial inequalities through housing choice. Cities, 140, 104422. https://doi.org/10.1016/j.cities.2023.104422
  5. Feitosa, F. O., Wolf, J.-H., & Marques, J. L. (2021). Spatial justice models: an exploratory analysis on fair distribution of opportunities. In Computational Science and Its Applications, ICCSA 2021, Lecture Notes in Computer Science, 674–683. https://doi.org/10.1007/978-3-030-86960-1_51