I study how to update workflows and methods used in algorithm design, implementation, and application in order to address some of algorithms' documented ability to perpetrate social, political, and economic harms. My work has been funded by ArtsEngine, the Center for World Performance Studies, the International Institute, Rackham Graduate School, the School of Information, among other institutions.
My current projects are especially interested in (1) what data professionals are currently doing to navigate these challenges, and (2) how data professionals can learn with and from artistic disciplines' methodological expertise to navigate these challenges. In alignment with these interests, as a Postdoctoral Research Fellow I support research for an Institute of Museum and Library Services (IMLS) award called "Improving Metadata Quality and Minimizing Disclosure Risk with Human-AI Data Curation Pipelines".
Angela Schöpke Gonzalez, PhD
Postdoctoral Research Fellow, University of Michigan School of Information & ICSPR
Recent Publications
Schöpke-Gonzalez, A. (Under Review). Theorizing Organizational Communication in Tech: Do Data Professionals Have Agency to Mitigate Algorithmic Harm?
Schöpke-Gonzalez, A. (Under Review). Movement Improvisation: A Field Guide for an Empirical Researcher.
Schöpke-Gonzalez, A. (Under Review). Scores: Reimagining and Contesting Infrastructures.
Schöpke-Gonzalez, A., Kim, N., Hemphill, L. (Forthcoming). Embracing Training Dataset Bias for Automated Harmful Content Detection. Proceedings for the Association for Information Science and Technology.
Schöpke-Gonzalez, A., Dunn, K., Bardzell, S., Lewis, M., Murray, M., Wieczorek, C. (2025). Computing and the Arts: Establishing Theoretical and
Methodological Foundations for Cross-Disciplinary Collaboration. In Companion of the Computer-Supported Cooperative Work and Social Computing (CSCW Companion ’25), October 18–22, 2025, Bergen, Norway. ACM, New York, NY, USA, 3 pages. https://doi.org/10.1145/3715070.3748283.
Schöpke-Gonzalez, A. (2025). Imagining and Enacting Computing Futures with the Arts: Thinking with Bodymind, Movement Improvisation, and Scores. [Doctoral dissertation, University of Michigan]. University of Michigan Deep Blue Documents. https://dx.doi.org/10.7302/27149.
More information about my dissertation project is available here.
Schöpke-Gonzalez, A., Wu, S., Kumar, S., Hemphill, L. (2025). Using Off-the-Shelf Harmful Content Detection Models: Best Practices for Model Reuse. Proceedings for the ACM Human-Computer Interaction 9, 2, Article CSCW201 (April 2025), 26 pages. https://dl.acm.org/doi/10.1145/3711099.
See companion blog post on about this work here.
Schöpke-Gonzalez, A., Wyss-Gallifent, J., Brissey, C., Jordan, S.B., Hemphill, L. (2024). Imagining Computing Futures and Mitigating Algorithmic Harm: Conversations Between Artistic Disciplines and Computing. In Companion Publication of the 2024 Conference on Computer Supported Cooperative Work and Social Computing (CSCW '24 Companion). Association for Computing Machinery, San Jose, Costa Rica. https://dl.acm.org/doi/10.1145/3678884.3687140.
Schöpke-Gonzalez, A. (2024). Benefits and Risks of Municipal Parking Services (MPS) Parking System in Hamtramck. Report submitted to City of Hamtramck. Report available here.
See press coverage of this project through The Hamtramck Review (pages 3 and 6) and The Hamtramck Review (page 3)
Schöpke-Gonzalez, A. M., Atreja, S., Shin, H. N., Ahmed, N., & Hemphill, L. (2022). Why do volunteer content moderators quit? Burnout, conflict, and harmful behaviors. New Media & Society, 0(0). https://doi.org/10.1177/14614448221138529.
See press coverage of this project through mLive, Futurity, and UM News
Hemphill, L., Schöpke-Gonzalez, A.M., Panda, A. (2022). Comparative Sensitivity of Social Media Data and Their Acceptable Use in Research. Scientific Data 9: 643. https://doi.org/10.1038/s41597-022-01773-w.
Schöpke-Gonzalez, A.M. and Schaub, F. (2022). Mobile Phones at Borders: Logics of Deterrence and Survival in the Mediterranean Sea and Sonoran Desert. Information, Communication & Society.
https://doi.org/10.1080/1369118X.2022.2113818.
Full text available here.
See press coverage of this project through The Conversation
Schöpke-Gonzalez, A.M., Thomer, A., and Conway, P. (2020). Identity Navigation During Refugee Experiences: Between Individual Agency and Systemic Architectures of Control. The International Journal of Information, Diversity and Inclusion 4(2). https://doi.org/10.33137/ijidi.v4i2.33151.
Hemphill, L., and Schöpke-Gonzalez, A. M. (2020). Two Computational Models for Analyzing Political Attention in Social Media. Proceedings of the International AAAI Conference on Web and Social Media, 14(1), 260-271. https://www.aaai.org/ojs/index.php/ICWSM/article/view/7297.
Hemphill, L., Russell, A. & Schöpke-Gonzalez, A. M. (2020). What Drives U.S. Congressional Members’ Policy Attention on Twitter? Policy & Internet. https://doi.org/10.1002/poi3.245