Office Address:
Pohlweg 55
33098 Paderborn
Room:
N2.301

About Miriam Fahimi

Since October 2025, I have been a postdoctoral researcher in the ERC project Cultures of the Cryosphere at Paderborn University. My research investigates data centers as sociomaterial infrastructures and central places of sustainability politics. I further explore their effects on climate justice in the context of the current AI hype.

Before joining Paderborn University, I was a visiting scholar in the Department of Science and Technology Studies at Cornell University (US), a research fellow at the Center for Advanced Internet Studies in Bochum (Germany), and a Marie Skłodowska-Curie fellow in the EU-H2020 project NoBIAS – Artificial Intelligence without Bias

I hold a PhD in Science and Technology Studies (STS) from the University of Klagenfurt in Austria. In my thesis, I examined how computer scientists co-constitute fairness and transparency as solutions to algorithmic discrimination.

Together with Asst. Prof. Raphaële Xenidis, I co-lead the working group Standardising Justice in the Algorithmic Society. Exploring Standardisation Practices for Artificial Intelligence Systems in the European Union at CAIS in Bochum. I am also a fellow (non-resident) with Cornell’s Digital Due Process Clinic, a member of STS Austria, and part of netzforma e.V. – Association for Feminist Internet Policy

Curriculum Vitae

Since 01.10.2025: PostDoc CryoCultures at University Paderborn

01.10.2024 - 15.01.2025: Visiting Scholar Cornell University

01.04.2024 - 30.09.2024: Fellow at the Center for Advanced Internet Studies (Bochum)

01.09.2020 - 28.02.2024: Marie-Skłodowska-Curie-Fellow with the NoBIAS - AI without Bias Project at University of Klagenfurt

01.01.2020 - 31.08.2020: Research Assistant at the Department of Care Work and Care Politics at the Vienna Chamber of Labour, Austria

01.07.2015 - 28.02.2019: Finance and Economic Consultant with the Austrian Students Union in Vienna, Austria

01.09.2016 - 30.11.2018: Research Assistant at the Department of Development Studies (Political Science Dept.), University of Vienna, Austria

Research

Research Interests

  • Science and Technology Studies, Critical Algorithm Studies
  • Algorithmic discrimination, algorithmic fairness, explainable AI
  • Sustainability politics of digital Infrastructures
  • Feminist critique of technology and (digitalised) care work

Publications

Latest Publications

From Explaining to Diagnosing: A Justice-Oriented Framework of Explainable AI for Bias Detection

M. Fahimi, L. State, A. Kasirzadeh, Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society 8 (2025) 879–892.


Standardising Equality in the Algorithmic Society? A Research Agenda

R. Xenidis, M. Fahimi, in: Proceedings of Fourth European Workshop on Algorithmic Fairness, PMLR, 2025, pp. 310–314.


Friction in the Materialities of Value. Relating Transparency, Algorithms and Credit Scoring

M. Fahimi, K. Kinder-Kurlanda, Digital Culture & Society 9 (2025) 141–160.


Policy advice and best practices on bias and fairness in AI

J.M. Alvarez, A.B. Colmenarejo, A. Elobaid, S. Fabbrizzi, M. Fahimi, A. Ferrara, S. Ghodsi, C. Mougan, I. Papageorgiou, P. Reyero, M. Russo, K.M. Scott, L. State, X. Zhao, S. Ruggieri, Ethics and Information Technology 26 (2024).


Articulation Work and Tinkering for Fairness in Machine Learning

M. Fahimi, M. Russo, K.M. Scott, M.-E. Vidal, B. Berendt, K. Kinder-Kurlanda, Proceedings of the ACM on Human-Computer Interaction 8 (2024) 1–23.


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