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UN-CODE: Software for Structuring and Visualizing Collective Decision-Making Based on Qualitative Data Cover

UN-CODE: Software for Structuring and Visualizing Collective Decision-Making Based on Qualitative Data

Open Access
|Jul 2019

Figures & Tables

Figure 1

Overview of the un-code.org system architecture and utilized technologies.

Figure 2

UN-CODE’s main data input mask. From left to right: fields/sources, actors, problem/solution definitions, c_score calculation/fitness, visualization/export methods.

Figure 3

UN-CODE’s 3D Visualization: A typical case examination, highlighting the movement of an actor throughout multiple fields in relation to other actors. Here, the actor in question is highlighted in grey, but can also be shown in color. The arrow shows the route that the actor followed through time. Alternatively, one can select a number of actors to be visible at a given time stamp.

Figure 4

UN-CODE’s Persistence Mapping: Helping to see which definitions survived over time. The example shown here is slightly adjusted from [1].

DOI: https://doi.org/10.5334/jors.246 | Journal eISSN: 2049-9647
Language: English
Submitted on: Sep 5, 2018
Accepted on: Jul 19, 2019
Published on: Jul 31, 2019
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2019 Julian Stieg, Peter Marks, Lasse Gerrits, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.