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  M.N. Groen (Maarten)

Teacher Researcher
Email:
m.n.groen@hva.nl
Work address:
Benno Premselahuis, Rhijnspoorplein 1, 1091 GC Amsterdam
Postal address:
Postbus 40,1000 AA Amsterdam
Room number:
04A11
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Maarten Groen MSc is a lecturer/researcher in the Visual Methodologies and Responsible IT lectorate and conducts research on collecting and analyzing data from the city.


Research

Maarten researches the collection and analysis of data from the city from various perspectives. He works on tools and methods to collect and interpret data together with, for example, residents. He also works on data analysis projects in which large amounts of data from the city are analyzed using, for example, image recognition algorithms.


Motivation

Maarten enjoys doing projects that make use of the latest technological developments. He enjoys studying new topics and their practical application, always with a critical eye on the impact on society.


Current projects

Maarten is currently working on several research projects such as Urban Belonging (on tools for citizen empowerment), and Building for Well-being (analyzing urban areas with image recognition algorithms based on streetview photos)

Current teaching activities

Maarten works as a lecturer at HBO-ICT. At the HBO-ICT program he coordinates a project in which students create a web application in 20 weeks for a client from the field or for one of the HvA's research groups.

Education

Maarten graduated in 2012 from the University of Amsterdam in Information Studies with a specialization in Human Centered Multimedia.
Want to know more? Feel free to contact him at m.n.groen@hva.nl

  • AI4students
    Piersma, N., Henzen, L., Kootstra, J. G., Groen, M. N., & Denteneer-Wijnen, E. J. P. (2024). AI4students: Een uitleg van de methode.
  • De AI-impactscan
    Piersma, N., Kootstra, J. G., Henzen, L., & Groen, M. N. (2024). De AI-impactscan: Een methodiek om de impact van kunstmatige intelligentie in een specifiek werkveld in kaart te brengen .
  • The Urban Belonging Photo App: A toolkit for studying place attachments with digital and participatory methods
    Madsen, A. K., Burgos-Thorsen, S., De Gaetano, C., Ehn, D., Groen, M., Niederer, S., Norsk, K., & Simonsen, T. (2023). The Urban Belonging Photo App: A toolkit for studying place attachments with digital and participatory methods. Methodological Innovations, 16(3), 292-314. https://doi.org/10.1177/20597991231185351
  • AI4Students: methodiekontwikkeling om hogeschoolbreed AI-ready studenten op te leiden
    van Ooijen-van der Linden, L., Kootstra, J. G., van Heijningen, M. E., Groen, M. N., Griffioen, D. M. E., & Piersma, N. (2023). AI4Students: methodiekontwikkeling om hogeschoolbreed AI-ready studenten op te leiden. Poster session presented at Onderwijs Research Dagen 2023 (ORD), Amsterdam, Netherlands.
  • Fringe players on political Twitter
    Groen, M., & Geboers, M. (2023). Fringe players on political Twitter: source-sharing dynamics, partisanship and problematic actors. In R. Rogers (Ed.), The propagation of misinformation in social media : a cross-platform analysis (pp. 83-107). Amsterdam University Press.
  • Urban belonging toolkit
    Groen, M. N., de Gaetano, C. A. M., & Niederer, S. M. C. (2022). Urban belonging toolkit. Software
  • Doing Research Online (How-to Guides)
    Groen, M., & De Gaetano, C. (2022). Doing Research Online (How-to Guides): How to Do Locative Mapping and Data Collection Using Smartphones. SAGE Research Methods: Doing Research Online. https://doi.org/10.4135/9781529609318
  • Civic Empowerment Toolbox - Cahier C: Civic Media to shape citizen empowerment
    Groen, M., Niederer, S., Bardelli, F., & Schouten, B. (2022). Civic Empowerment Toolbox - Cahier C: Civic Media to shape citizen empowerment. Jap Sam Books.
  • Material Sample Management Tool
    Bogers, L., & Groen, M. (2021). Material Sample Management Tool: label generator and database to document and share material experiments. Web publication or website, . https://samplemanagementtool.org
  • Mapping microplastics
    Bardelli, F., De Gaetano, C., Groen, M., Meys, W., & Niederer, S. (2021). Mapping microplastics: hybrid workshop wrap up, Visual Methodologies Collective. Hogeschool van Amsterdam.
  • Pillars of Hope
    Dockett, A. C., Groen, M. N., & Xu, D. (2021). Pillars of Hope. Design
  • Observing Taxi Behaviour at Charging Stations and Taxi Stands Using Image Recognition
    Groen, M., & Piersma, N. (2020). Observing Taxi Behaviour at Charging Stations and Taxi Stands Using Image Recognition. ERCIM News, 122, 56-57. https://ercim-news.ercim.eu/en122
  • The circulation of political news on Twitter during the Dutch elections
    Niederer, S., & Groen, M. (2020). The circulation of political news on Twitter during the Dutch elections. In R. Rogers, & S. Niederer (Eds.), The Politics of Social Media Manipulation (pp. 123-146). Amsterdam University Press. https://doi.org/10.2307/j.ctv1b0fvs5.6
  • Buurtinzicht (open source)
    Jansen, G., & Groen, M. (2018). Buurtinzicht (open source). Software https://github.com/citizendatalab/Buurtinzicht
  • GoGoGo
    Groen, M. (2018). GoGoGo. Software, Hogeschool van Amsterdam. https://github.com/citizendatalab/GoGoGo
  • Mapping the City
    Groen, M. (2018). Mapping the City. Software https://github.com/citizendatalab/MappingTheCity
  • Socio-technical systems for citizen empowerment
    Bueno de Mesquita, N., Cila, N., Groen, M., & Meys, W. (2018). Socio-technical systems for citizen empowerment: how to mediate between different expectations and levels of participation in the design of civic apps. International Journal of Electronic Governance, 10(2), 172-195. https://doi.org/10.1504/IJEG.2018.10015212
  • Collaborative data practices in the neighborhood
    Groen, M. N., & Meys, W. T. (2017). Collaborative data practices in the neighborhood: an Amsterdam case study. Paper presented at 15th International Conference on e-Society 2017, Budapest, Hungary.
  • Kijk! Een gezonde wijk (App)
    den Broeder, L., van Kempen, E., Kauw, K., Meys, W., Groen, M., Wichers, F., Hofland, A., el Aslouni, A., Schönenberger, M., van den Berg, F., Glastra van Loon, D., Holstein, A. N., Cila, N., Overmars, D., & van Diem, F. (2017). Kijk! Een gezonde wijk (App). Software, Hogeschool van Amsterdam. http://www.kijkeengezondewijk.nl/#/
  • Observe
    van Aggelen, A., de Boer, V., Groen, M., Meys, W., Reitsma, J., Bonestra, W., & Veenstra, M. (2016). Observe: semantic context-based content recommendation for adaptive public screens. Poster session presented at ICTOpen, Amersfoort.
  • Look! A healthy neighborhood: Means to motivate participants in using an app for monitoring community health
    Cila, N., Jansen, G., den Broeder, J. M., Groen, M., Meys, W., den Broeder, L., & Kröse, B. (2016). Look! A healthy neighborhood: Means to motivate participants in using an app for monitoring community health: Casy Study: Activities and Health. In Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems (pp. 889-898). Association for Computing Machinery. https://doi.org/10.1145/2851581.2851591
  • Measuring Amsterdam
    Groen, M., & Meys, W. (2014). Measuring Amsterdam: a participatory mapping tool for citizen empowerment. Hogeschool van Amsterdam.
  • Quo vadis?
    Meys, W., & Groen, M. (2014). Quo vadis? persuasive computing using real time queue information. In Proceedings of the First International Conference on IoT in Urban Space (pp. 102-104) https://doi.org/10.4108/icst.urb-iot.2014.257204
  • Studying screen interactions long-term
    Kanis, M., Groen, M., Meys, W. T., & Veenstra, M. (2012). Studying screen interactions long-term: the library as a case. In ONBEKEND
  • Beyond advertising
    Kanis, M., Groen, M., Meys, W., Slakhorst, W., & Veenstra, M. (2011). Beyond advertising: large displays for supporting people’s needs and activities in public space. In CHI'11 Workshop
  • BiebBeep
    Kanis, M., Meys, W., Groen, M., Slakhorst, W., & Veenstra, M. (2011). BiebBeep: an interactive screen for supporting public library 2.0 information and social services. In CHI'2011
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Go to Research database