Schaefer, M., van Es, K., & Muis, I. (2023). Investigating the Datafied Society: Entrepreneurial Research as Approach. In Situating Data: Inquiries in Algorithmic Culture (pp. 267-272). Amsterdam University Press. https://doi.org/10.5117/9789463722971
2022
Wetenschappelijke publicaties
Muis, I., Schaefer, M., Siffels, L., & van den Berg, D. (2022). Public Values and Technological Change: Mapping how Municipalities Grapple with Data Ethics. In New Perspectives in Critical Data Studies: The Ambivalences of Data Power (pp. 243-266). Palgrave Macmillan. https://doi.org/10.1007/978-3-030-96180-0_11
van Es, K., Everts, D., & Muis, I. (2021). Gendered language and employment Web sites: How search algorithms can cause allocative harm. First Monday, 26(8). https://doi.org/10.5210/fm.v26i8.11717
Franzke, A., Muis, I. M., & Schaefer, M. T. (2021). Data Ethics Decision Aid (DEDA): a dialogical framework for ethical inquiry of AI and data projects in the Netherlands. Ethics and Information Technology, 23(3), 551-567. Article 3. https://doi.org/10.1007/s10676-020-09577-5
Everts, D., Muis, I., van Es, K., & van Santen , M. (2021). Wie zoekt zal vinden, of toch niet?: Een verkenning van zoekalgoritmen op vacaturewebsites en het effect op gelijke kansen. Utrecht University. https://mensenrechten.nl/nl/publicatie/60653d031e0fec037359cb0e
Muis, I., van Schie, G., Wieringa, M., & de Winkel, T. (2019). ‘Liberation Begins with Stating the Facts’: Framing Statistics and Information Bricolage in Geert Wilders’ Twitter Practice. Open Library of Humanities, 5(1), 1-31. https://doi.org/10.16995/olh.320