PS
P. Schwarz
info
Please Note
<p>This page displays the records of the person named above and is not linked to a unique person identifier. This record may need to be merged to a profile.</p>
2 records found
1
Aid workers increasingly face risks when working in crisis regions. In order to improve effectiveness and safety
of humanitarians, it is of great importance to provide a well thought out real-time socio-technical support. Thus,
new policies and innovative technological solutions need to be developed and integrated into humanitarian
workflows. For the requirements elicitation process to realize this aspiration, we employ a board game approach
that confronts players with situations aid workers experience in the field. From the first game session, we
learned that the game is a valuable tool. It raises awareness to important challenges and trade-offs that
humanitarians face. In addition, it is an effective catalyst for initiating a discussion on which system
requirements are needed. Future work will include an update of the board game as well as sessions with the
target group of practitioners to inform the development of a socio-technical system for humanitarian aid work.
...
Aid workers increasingly face risks when working in crisis regions. In order to improve effectiveness and safety
of humanitarians, it is of great importance to provide a well thought out real-time socio-technical support. Thus,
new policies and innovative technological solutions need to be developed and integrated into humanitarian
workflows. For the requirements elicitation process to realize this aspiration, we employ a board game approach
that confronts players with situations aid workers experience in the field. From the first game session, we
learned that the game is a valuable tool. It raises awareness to important challenges and trade-offs that
humanitarians face. In addition, it is an effective catalyst for initiating a discussion on which system
requirements are needed. Future work will include an update of the board game as well as sessions with the
target group of practitioners to inform the development of a socio-technical system for humanitarian aid work.
Modelling and simulation aim to reproduce the structure and imitate the behavior of real-life systems. For complex dynamic systems, System Dynamics (SD) and Agent-based (AB) modelling are two widely used modelling paradigms that prior to the early 2010’s have traditionally been viewed as mutually exclusive alternatives. This literature review seeks to update the work of Scholl (2001) and Macal, (2010) by providing an overview of attempts to integrate SD and AB over the last ten years. First, the building blocks of both paradigms are presented. Second, their capabilities are contrasted, in order to explore how their integration can yield insights that cannot be generated with one methodology alone. Then, an overview is provided of recent work comparing the outcomes of both paradigms and specifying opportunities for integration. Finally, a critical reflection is presented. The literature review concludes that while paradigm emulation has contributed to expanding the applications of SD, it is the dynamic combination of the two approaches that has become the most promising research line. Integrating SD and AB, and even tools and methods from other disciplines, makes it possible to avoid their individual pitfalls and, hence, to exploit the full potential of their complementary characteristics, so as to provide a more complete representation of complex dynamic systems.
...
Modelling and simulation aim to reproduce the structure and imitate the behavior of real-life systems. For complex dynamic systems, System Dynamics (SD) and Agent-based (AB) modelling are two widely used modelling paradigms that prior to the early 2010’s have traditionally been viewed as mutually exclusive alternatives. This literature review seeks to update the work of Scholl (2001) and Macal, (2010) by providing an overview of attempts to integrate SD and AB over the last ten years. First, the building blocks of both paradigms are presented. Second, their capabilities are contrasted, in order to explore how their integration can yield insights that cannot be generated with one methodology alone. Then, an overview is provided of recent work comparing the outcomes of both paradigms and specifying opportunities for integration. Finally, a critical reflection is presented. The literature review concludes that while paradigm emulation has contributed to expanding the applications of SD, it is the dynamic combination of the two approaches that has become the most promising research line. Integrating SD and AB, and even tools and methods from other disciplines, makes it possible to avoid their individual pitfalls and, hence, to exploit the full potential of their complementary characteristics, so as to provide a more complete representation of complex dynamic systems.