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Teaching Staff

Biography

Vicente Tang is an Invited Teaching Assistant at NOVA IMS, where he recently earned his PhD in Information Management, specializing in Geoinformatics. He holds a Master’s degree in Geospatial Technologies from the Erasmus Mundus Joint Master’s program (NOVA IMS, University of Münster, and Universitat Jaume I) and a Bachelor’s degree in Geology and Earth Sciences (Federal University of Rio de Janeiro and University of Melbourne). At NOVA IMS, Vicente teaches undergraduate and master’s courses in GIS and GIScience, with a focus on Spatial Data Analysis and Visualization, Geographic Information Science, GIS Modeling, and Geospatial Intelligence. He also delivers specialized training to external academic and industry partners. His research explores Geographic Information Science, Spatial Data Science, Urban Studies, participatory mapping, user-generated content, and GIS education. He is particularly interested in incorporating large language models and flipped learning approaches into educational programs.

Scientific Publications

Tang, V., & Painho, M. (2024)

Patterns of (dis)agreement: revealing differences in perceived neighborhood boundaries in Lisbon. In A. Heppenstall, M. Wang, U. Demsar, R. Lemmens, & J. Yao (Eds.), Proceedings of the 27th  AGILE Conference on Geographic Information Science, 2024 (Vol. 5, pp. 1-8). Article 44 (AGILE: GIScience Series (AGILE GISS); Vol. 5). Copernicus Publications. https://doi.org/10.5194/agile-giss-5-44-2024

Tang, V., & Painho, M. (2023)

Content-location relationships: a framework to explore correlations between space-based and place-based user-generated content. International Journal Of Geographical Information Science, 1-32. https://doi.org/10.1080/13658816.2023.2213869

Tang, V., & Painho, M. (2023)

Exploring the relationships between perceived neighborhood boundaries and street network orientation. Transactions in GIS, 27(3), 877-899. https://doi.org/10.1111/tgis.13058

Tang, V., Puri, J., & Painho, M. (2022)

Mapping a historic neighbourhood through user-generated content: the case of Alfama, Lisbon (Portugal). In E. Parseliunas, A. Mansourian, P. Partsinevelos, & J. Suziedelyte-Visockiene (Eds.), Proceedings of the 25th  AGILE Conference on Geographic Information Science, 2022 (Vol. 3, pp. 1-8). (AGILE: GIScience Series; Vol. 63). (AGILE 2022 - 25th  AGILE Conference on Geographic Information Science, 2022, "Artificial Intelligence in the service of Geospatial Technologies", 14-17 June, Vilnius, Lithuania). https://doi.org/10.5194/agile-giss-3-63-2022

Tang, V., & Painho, M. (2021)

Operationalizing places in GIScience: A review. Transactions in GIS. https://doi.org/10.1111/tgis.12767

Tang, V., Acedo, A., & Painho, M. (2021)

Sense of place and the city: the case of non-native residents in Lisbon. Journal of Spatial Information Science, (23), 125-155. https://doi.org/10.5311/JOSIS.2021.23.165