Orestis Papakyriakopoulos

Lab PI civic machines lab

Orestis Papakyriakopoulos' research provides ideas, frameworks, and practical solutions towards just, inclusive and participatory socio-algorithmic ecosystems. He builds tools and performs foundational research on platforms and artificial intelligence. Orestis analyzes new and old media by the application of data-intensive algorithms, as well as the political and social impact of the use of data-intensive algorithms themselves.Orestis studied civil engineering (Dipl. Ing.) at the National Technical University of Athens and Philosophy of Science and Technology (M.A.) at TUM, institution where he also obtained his PhD in Computer Science. He was visiting scholar at the MIT Media Lab and conducted his Postdoc at Princeton University. He also worked as an AI Research Scientist at Sony. Since 2024 Orestis is Professor of Societal Computing at the School of Social Science and Technology at the Technical University of Munich.​

Related Projects

The Civic Machines Lab explores the full lifecycle of artificial intelligence, from the semiconductors powering computation to the algorithms shaping human experience.
Situated within the TUM Think Tank, the lab views AI as a socio-technical system rather than a purely technical challenge.
By integrating perspectives from computer science, social sciences, and public policy, the Civic Machines Lab aims to shape technologies that are democratic, sustainable, and globally inclusive.

Lab

Related Outputs

  • Publication

    AI Adoption Across Mission-Driven Organizations

    Exploring how mission-driven organizations are engaging with AI—from real-world applications to ethical dilemmas and governance questions.

    05. Aug 2025

Related Events

Discussion

AI readiness across mission-driven organizations

Join us for the launch of a new white paper exploring how mission-driven organizations are navigating the rise of AI. Based on interviews with stakeholders across mission-driven organizations, the paper highlights real-world use cases, key challenges, and future directions for AI adoption in the service of social and environmental goals.

TUM Think Tank
03. Jul 2025