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Forschungsfragen der Energieinformatik (Master)
- Dozent/in
- Prof. Dr. Thorsten Staake
- Angaben
- Seminar
2,00 SWS
Zeit und Ort: Mi 8:00 - 10:00, WE5/02.020
- Voraussetzungen / Organisatorisches
- Die Teilnehmeranzahl ist auf 25 Plätze begrenzt. Sie können sich für das Master-Seminar per E-Mail bei Frau Appeldorn (sarah.appeldorn@uni-bamberg.de) bis zum 09. April bewerben.
Bitte geben Sie dabei folgendes an:
- Name
- Matrikelnummer
- angestrebter Abschluss
- Studienfach
- Fachsemester
- bereits belegte Fächer am Lehrstuhl wenn vorhanden
- Note Bachelorabschluss
Der Titel des Seminars lautet: Behavioral Economics – Nudging & IS Design
Termine
- Session 1: 11.04. Einführung
- Session 2: 18.04. Wissenschaftliches Arbeiten
- Session 3: 02.05. Präsentationstraining
- Session 4: 06.06. Präsentationen
- Session 5: 13.06. Präsentationen
- Session 6: 20.06. Präsentationen
- Session 7: 27.06. Präsentationen
- Session 8: 04.07. Präsentationen
- Session 9: 11.07. Präsentationen (if necessary)
- Inhalt
- Behavioral Economics is concerned with human behavior and the bounds of rationality. While classical economics sees agents as purely rational decision-makers that make full use of information and strive for maximizing their overall benefit, behavioral economics tries to capture also cognitive biases, emotionality, altruism, and the limited cognitive abilities of individuals. The resulting models better explain and predict human behavior in many situations, and policy measures that make use of this more accurate perspective on human behavior are often more powerful and more socially acceptable than prohibitive rules, sanctions, and monetary (dis-)incentives. As a consequence, insights from behavioral economics are becoming increasingly popular among individuals who actively design “choice architectures” (often referred to as nudges) in such domains as health, sustainability, and marketing.
Information Systems (IS) can play a major role enabling and applying such nudges as IS can retrieve, process, and frame rich information about individuals on a per-person basis in real-time and at low
cost. Thus, IS design can benefit from the advances in Behavioral Economics in many ways: not only are the insights relevant when building user interfaces, they also help to design powerful and costefficient incentives, e.g., to motivate adoption and continues use of IS, and they can greatly influence behavior in general.
Making use of the benefits in IS design, however, requires a solid understanding of the basics of behavioral economics alongside some insights on exemplary use cases as well as an ethical compass to
assess if specific implementations are reasonable.
Learning objectives:
- Obtaining a solid understanding of the mechanisms and explanatory models of the most important heuristics, cognitive biases, and behavioral anomalies
- Understanding important experimental designs to investigate related behavioral phenomena
- Being able to relate the acquired skills to challenges in IS design and to use the concepts in actual implementations
- Being able to critically assess the opportunities and risks of using behavioral nudges in the context of IS and big data
- Develop literature research and scientific writing skills that are sufficient for preparing a master thesis
- Improve presentation skills related to scientific content
- Englischsprachige Informationen:
- Credits: 3
- Institution: Lehrstuhl für Wirtschaftsinformatik, insb. Energieeffiziente Systeme
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