dr. R.M. Aguilar Bolivar (Rosa)

Rosa Aguilar holds a Diploma degree in Computer System Engineering from University Lisandro Alvarado in Venezuela. She holds two master’s degrees in computer science and Geoinformatics from University Simon Bolivar in Venezuela and the University of Twente in The Netherlands respectively. Before joining ITC at the University of Twente as a PhD researcher, she worked as a Chief Technical Officer at the Geographic Institute of Venezuela. Previously, she accumulated practical experience in Geographic Information System (GIS), remotely sensed image analysis, spatial database management and Spatial Data Infrastructure (SDI) implementation at the Institute of Engineering in Venezuela.

Rosa is interested in geospatial tools for supporting collaborative spatial processes and machine learning techniques applied to geospatial data.

Earth & Environmental Sciences

# Planning
# Planning Process
# Smallholder
# Spatial Planning
# Stakeholder
# Sustainable Development Goal

Social Sciences

# Spatial Planning
# Stakeholder

Faculty of Geo-Information Science and Earth Observation (ITC), Department of Geo-information Processing (GIP)

Augustijn, P. W. M. , Aguilar Bolivar, R. , & Abdulkareem, S. (2023). Using machine learning to drive social learning in a Covid-19 Agent-Based Model. In P. van Oosterom, H. Ploeger, A. Mansourian, S. Scheider, R. Lemmens, & B. van Loenen (Eds.), 26th AGILE Conference on Geographic Information Science: Spatial data for design (Vol. 4, pp. 1-4). (AGILE: GIScience Series). Copernicus. https://doi.org/10.5194/agile-giss-4-19-2023

Aguilar, R. , Flacke, J., Simon, D. , & Pfeffer, K. (2023). Stakeholders engagement in noise action planning mediated by OGITO: An Open Geo-Spatial Interactive tool. Journal of Urban Technology, 30(3), 23-46. https://doi.org/10.1080/10630732.2023.2190705

Aguilar, R. (2022). Co-designing planning support tools for stakeholder engagement in collaborative spatial planning processes. [PhD Thesis - Research UT, graduation UT, Faculty of Geo-Information Science and Earth Observation, University of Twente]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). https://doi.org/10.3990/1.9789036554206

Flacke, J. , Aguilar, R. , & Pfeffer, K. (2022). Citizen participation in Noise Action Planning: Co-designing an open and interactive geospatial tool. s1-s13. 6th International Conference URBAN E-PLANNING 2022
, Lisbon, Portugal.

Flacke, J. , Aguilar, R. , Pfeffer, K., Kray, C., & Navas Medrano, S. (2021). Gesture-Enabled Remote Communication and Collaboration in Urban Planning (GECCO). 1-6. Abstract from 17th International Conference on Computational Urban Planning and Urban Management, CUPUM 2021, Helsinki, Finland.

Aguilar, R. , Flacke, J. , & Pfeffer, K. (2021). Co-designing an open and interactive geospatial tool for participatory noise action planning. 1-6. Abstract from 17th International Conference on Computational Urban Planning and Urban Management, CUPUM 2021, Helsinki, Finland.

Anderson, V., Leung, A. C. W. , Mehdipoor, H., Jänicke, B., Milošević, D., Oliveira, A., Manavvi, S. , Kabano, P., Dzyuban, Y. , Aguilar, R., Agan, P. N., Kunda, J. J., De França Carvalho Fonsêca, V. , Garcia Chapeton, G. A., Nascimento, S. T. , & Zurita-milla, R. (2021). Technological opportunities for sensing of the health effects of weather and climate change: a state-of-the-art-review. International Journal of Biometeorology, 65(6), 779-803. https://doi.org/10.1007/s00484-020-02063-z

Aguilar, R., Calisto, L. , Flacke, J. , Akbar, A. , & Pfeffer, K. (2021). OGITO, an Open Geospatial Interactive Tool to support collaborative spatial planning with a maptable. Computers, environment and urban systems, 86, 1-12. Article 101591. https://doi.org/10.1016/j.compenvurbsys.2020.101591

Akbar, A. , Flacke, J. , Martinez, J. , Aguilar, R. , & van Maarseveen, M. F. A. M. (2020). Knowing my village from the sky: A collaborative spatial learning framework to integrate spatial knowledge of stakeholders in achieving Sustainable Development Goals. ISPRS Int. J. Geo-Information, 9(9), 1-26. Article 515. https://doi.org/10.3390/ijgi9090515

Aguilar, R. , & Kuffer, M. (2020). Cloud computation using high-resolution images for improving the SDG indicator on open spaces. Remote sensing, 12(7), 1-17. Article 1144. https://doi.org/10.3390/rs12071144

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Current research is to develop an interactive, open-source planning support (PS) tool that fosters stakeholder interaction and engagement in collaborative spatial planning processes. By f ollowing a human-centred design approach, the research will contribute in two perspectives: developing a PS tool for a maptable that exploits the touch capabilities of the device and accommodates group work in a pleasant experience.

+31534891453

r.aguilar@utwente.nl

Visiting Address

University of Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds (building no. 19), room 1315
Hallenweg 8
7522NH Enschede
The Netherlands

Mailing Address

University of Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds 1315
P.O. Box 217
7500 AE Enschede
The Netherlands

Faculty of Geo-Information Science and Earth Observation (ITC), Department of Geo-information Processing (GIP)

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University of Twente Drienerlolaan 5
7522 NB Enschede

+31 (0)53 489 9111
info@utwente.nl
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