Policy Analysis and Modelling

This course consists of a lecture (2 SWS) and an exercise (2 SWS). It is held in English.

Keine passenden Lehrveranstaltungen gefunden.
Keine passenden Lehrveranstaltungen gefunden.

Organisational Issues

  • Kick-off lecture: 16th April 2025, 14 - 16 c.t.

  • Kick-off exercise: 23th April 2025, 16 - 18 c.t.

  • Target audience: Master of E-Government, Master DBM, Master Information Systems, Master Web (and Data) Science; Elective for Master of Mathematical Modelling of Complex Systems

  • Module description, general contents and workload: See MoMa 04WI2011

  • Information about examination and qualification for taking the examination will be shared at the kick-iff meeting

  • Registration to lecture and exercise via Klips

  • All materials and slides for the lecture and exercises will be provided via the OpenOlat e-learning platform

Objectives of the Module

Students, who participated successfully in the module, have acquired the following competencies:

  • Students can describe public policies and can distinguish these from other legal or operational policies of an institution.

  • They are knowledgeable about theories, methods and instruments of structured and systematic analysis and modelling of public policies.

  • They are able to perform systematic analysis of a policy domain using structured methods of policy analysis (including automatic information retrieval and natural language processing) in order to conceptualize a policy domain.

  • Students are knowledgeable about stakeholder identification and stakeholder participation in collaborative policy modelling.

  • Students can develop conceptual models of a respective public policy domain which is reasonably complex. Thereby, they apply the methods and principles of conceptualising a policy domain in a structured manner.

  • They know how to deal with complexity of social environments in public policies.

  • Students are able to derive formal simulation models (e.g. agent based models).

Overview of Contents

  • Introduction to policy modelling, including different theories and concepts to policy modelling and simulation

  • Methods and tools for policy analysis and modelling

    • Policy analysis using structured methods and tools of information retrieval and natural language processing

    • Concepts and methods for developing conceptual models

    • Concepts, methods and tools for social simulation

  • Methods and principles for stakeholder identification and participation

  • Cases of analysing and modelling public policies

  • Assessment of public policy development projects

References

  • Janssen, Marijn, Wimmer, Maria A., Deljoo, A. (Eds.) (2015): Policy Practice and Digital Science - Integrating Complex Systems, Social Simulation and Public Administration in Policy Research: Springer International Publishing.

  • Nigel Gilbert and Klaus G. Troitzsch (2005): Simulation for the Social Scientist, Maidenhead: Open University Press, 2nd edition.

  • Technical reports of CROSSROAD

  • Technical reports of OCOPOMO

  • Technical reports and knowledge base of eGovPoliNet

The Lecturer

Dr. Ulf Lotzmann

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