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Dr P. Wiggers (Pascal)

Associate Professor of Responsible Artificial Intelligence (AI)
Telephone:
0628488189
Email:
p.wiggers@hva.nl
Work address:
Wibauthuis, Wibautstraat 3b, 1091 GH Amsterdam
Postal address:
Postbus 2728,1000 CS Amsterdam
Room number:
06A29
Personal website:
Responsible IT
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Pascal Wiggers is per 1 februari jl. benoemd tot Associate Lector Responsible Artificial Intelligence (AI) bij de faculteit Digitale Media & Creatieve Industrie (FDMCI). Vanuit zijn nieuwe positie richt Wiggers zich op het ontwikkelen van AI vanuit publieke waarden, met oog voor de individuele, sociale en ethische consequenties van AI. Wiggers maakt deel uit van het lectoraat Responsible IT. Dit is de eerste keer dat de Hogeschool van Amsterdam een Associate Lector heeft benoemd.

Pascal is in 2008 gepromoveerd aan de TU Delft op het proefschrift “Modelling Context in Automatic Speech Recognition” en was aan dezelfde universiteit werkzaam als universitair docent, waar hij, samen met zijn promovendi, onderzoek deed naar machine learning, automatisch herkenning van spraak, taal en emotie en naar methoden om te reflecteren op waarden tijdens het ontwerp- en ontwikkelproces van digitale technologie.

Pascal was kwartiermaker van het HvA-brede Centre of Expertise Applied Artificial Intelligence en mede-initiatiefnemer van de Professional Master Applied Artificial Intelligence.

  • Impact van intelligente technologie op onderwijs
    Piersma, N., & Wiggers, P. (2023). Impact van intelligente technologie op onderwijs. Hogeschool van Amsterdam. https://openresearch.amsterdam/nl/page/94273/impact-van-intelligente-technologie-in-het-onderwijs
  • Explainable Misinformation Detection from Text: A Critical Look
    Bašić, S., Fuckner, M., & Wiggers, P. (2023). Explainable Misinformation Detection from Text: A Critical Look. In T. Calders, C. Vens, J. Lijffijt, & B. Goethals (Eds.), Artificial Intelligence and Machine Learning: 34th Joint Benelux Conference, BNAIC/Benelearn 2022, Mechelen, Belgium, November 7–9, 2022, Revised Selected Papers (pp. 1-15). (Communications in Computer and Information Science; Vol. 1805). Springer. https://doi.org/10.1007/978-3-031-39144-6_1
  • Explainable misinformation detection from text
    Bašić, S., Fuckner, M., & Wiggers, P. (2022). Explainable misinformation detection from text: a critical look. Poster session presented at BNAIC/BeNeLearn 2022, Mechelen, Belgium.
  • The Bubble Machine: An agent-based modelling tool to analyse the interplay between cognitive preferences, social network interactions and algorithmic curation
    Fuckner, M., Bašić, S., Wiggers, P., Westplat, Y., van Kersbergen, R., & Firouzifard, I. (2022). The Bubble Machine: An agent-based modelling tool to analyse the interplay between cognitive preferences, social network interactions and algorithmic curation. 1-3. Abstract from BNAIC/BeNeLearn 2022, Mechelen, Belgium. https://bnaic2022.uantwerpen.be/wp-content/uploads/BNAICBeNeLearn_2022_submission_1650.pdf
  • Algorithm curation and the emergence of filter bubbles
    Fuckner, M., Bašić, S., & Wiggers, P. (2022). Algorithm curation and the emergence of filter bubbles: an agent-based modelling approach. Poster session presented at AI, media & democracy lab, opening event, Amsterdam.
  • Als de machine kiest
    de Zwart, H., & Wiggers, P. (2022). Als de machine kiest: diversiteit en inclusie in kunstmatige intelligentie voor werving en selectie. Hogeschool van Amsterdam.
  • Algorithm curation and the emergence of filter bubbles
    Fuckner, M., Bašić, S., & Wiggers, P. (2022). Algorithm curation and the emergence of filter bubbles: an ABM approach. Abstract from ICT.OPEN 2022, Amsterdam, Netherlands.
  • Exploring Bias in Data and Models for Misinformation Detection from Text
    Bašić, S., Fuckner, M., & Wiggers, P. (2022). Exploring Bias in Data and Models for Misinformation Detection from Text. Abstract from ICT.OPEN 2022, Amsterdam, Netherlands.
  • Large Cone Beam CT SCan Image Quality Improvement Using a Deep Learning U-Net Model
    Ruhe, J., Codreanu, V., & Wiggers, P. (2020). Large Cone Beam CT SCan Image Quality Improvement Using a Deep Learning U-Net Model. Paper presented at BNAIC / BeneLearn 2020, Leiden, Netherlands. https://bnaic.liacs.leidenuniv.nl/wordpress/wp-content/uploads/papers/BNAICBENELEARN_2020_Final_paper_77.pdf
  • Responsible Design of Technical Applications of AI
    Wiggers, P., Pauwels, E., & Piersma, N. (2020). Responsible Design of Technical Applications of AI. 1-4. Paper presented at NordiCHI 2020, Talinn, Estonia.
  • The Hipper Therapeutics Platform
    Oey, M. (Developer), Bondietti, S. (Developer), Haitjema, S. (Developer), Wiggers, P. (Developer), & Nait Aicha, A. (Developer). (2018). The Hipper Therapeutics Platform. Software, Hipper Therapeutics. http://www.hipperacademy.nl
  • sensor monitoring system tbv Hipper
    Nait Aicha, A. (Developer), Haitjema, S. (Developer), & Wiggers, P. (Developer). (2016). sensor monitoring system tbv Hipper. Digital or Visual Products
  • Managing Flexible Care With a Context Aware System for Ageing-In-Place
    Robben, S., Bosch, L., Wiggers, P., Decancq, J., & Kanis, M. (2015). Managing Flexible Care With a Context Aware System for Ageing-In-Place. EAI Endorsed Transactions on Context-aware Systems and Applications, 15(5), Article e1. https://doi.org/10.4108/icst.pervasivehealth.2015.259229
  • Care4Balance Report on final evaluation Care4Balance prototype
    Jacobs, A., Decancq, J., Coppens, P., Versteeg, L., Wüthrich, M., Andrushevich, A., Wiggers, P., Robben, S., & Nemhe, Z. (2015). Care4Balance Report on final evaluation Care4Balance prototype. iMinds.
  • Integrating meta-Information into recurrent neural network language models
    Shi, Y., Larson, M., Pelemans, J., Jonker, C. M., Wambacq, P., Wiggers, P., & Demuynck, K. (2015). Integrating meta-Information into recurrent neural network language models. Speech Communication, 73(October), 64-80. https://doi.org/10.1016/j.specom.2015.06.006
  • Managing Flexible Care With a Context Aware System for Ageing-In-Place
    Robben, S., Bosch, L., Wiggers, P., Decancq, J., & Kanis, M. (2015). Managing Flexible Care With a Context Aware System for Ageing-In-Place. In B. Arnrich, C. Ersoy, A. Dey, K. Kunze, & N. Berthouze (Eds.), Proceedings of the 2015 9th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth): PervasiveHealth 2015 ICST. https://doi.org/10.4108/icst.pervasivehealth.2015.259229
  • Na heupoperatie thuis revalideren
    Wiggers, P. (2015). Na heupoperatie thuis revalideren. Sfeer, 4(3).
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