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Seminar: 09-M39-3-08-40 Algorithmic Decision-Making in the Public Sector - Details

Seminar: 09-M39-3-08-40 Algorithmic Decision-Making in the Public Sector - Details

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Veranstaltungsname Seminar: 09-M39-3-08-40 Algorithmic Decision-Making in the Public Sector
Untertitel
Veranstaltungsnummer 09-M39-3-08-40
Semester WiSe 2025/2026
Aktuelle Anzahl der Teilnehmenden 12
Heimat-Einrichtung Philosophie
Veranstaltungstyp Seminar in der Kategorie Lehre
Nächster Termin Dienstag, 09.12.2025 16:00 - 18:00, Ort: UNICOM 3.3390 (SOCIUM - Mary-Somerville-Str. 3)
Art/Form
Englischsprachige Veranstaltung Ja

Kommentar/Beschreibung

Technological innovations, especially in information and communication technologies, are not only the subject of political and regulatory debates but also improve the basis of political decision-making processes and can simplify the provision of public services. The combination of advances in machine learning and the availability of large (behavioral) data sets opens up new opportunities to automate decision-making processes in the public sector and the provision of public services. Using algorithmic decision-making systems can improve the quality of public services, promote co-production processes, and improve participation in policy-making. At the same time, questions are increasingly being raised about the normative requirements and regulatory limits of using algorithmic decision-making systems in the public sector. This interdisciplinary project seminar aims to enable students to critically reflect on the design, control, and regulation of algorithmic decision-making systems in the public sector. The seminar, therefore, deals with using algorithmic systems for decision support in the public sector from a behavioral science perspective and conveys current research results from political science, public management, social psychology, and human-computer interaction. The participants will independently develop a survey experiment in the field of Algorithmic Decision-Making in the Public Sector. The experiment will be implemented and conducted with the help of an online survey application, which makes it possible to create high-quality survey experiments without programming knowledge.

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