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

Julian Stieg; Peter Marks; Lasse Gerrits

doi:10.5334/jors.246

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

Journal of Open Research Software

Volume 7 (2019): Issue 1

By: Julian Stieg, Peter Marks and Lasse Gerrits

Open Access

|Jul 2019

Abstract

UN-CODE is a web-based tool for structuring and visualizing collective decision-making processes using qualitative, case-based data. It offers a database management tool and visualization method in one. The structure of the database and the visualizations derive from a model that is rooted in evolutionary biology and that has been transformed for social scientists. It features three principal dimensions: problem and solution definitions (PSD), weighted connectedness (c_score) as a network measure, and fitness (FIT) to describe the probability of actors reaching their goals in the collective decision-making process. The results are visualized in a scalable 3D-environment that shows the main dynamics of such in one quick overview.

Funding statement: This research has been funded by The Netherlands Organisation for Scientific Research research grant no. 451-10-022.

References

Gerrits, L M and Marks, P K 2017 Understanding Collective Decision Making: a fitness landscape model approach. Cheltenham, UK: Edward Elgar. DOI: 10.4337/9781783473151
Open DOI Search in Google Scholar Back to article
Abbott, A 2001 Time Matters: On Theory and Method. Chicago: The University of Chicago Press.
Search in Google Scholar Back to article
Teisman, G R 2000 Models for Research into Decision-making Processes: on Phases, Streams and Decision-making Processes. Public Administration, 78(4): 937–956. DOI: 10.1111/1467-9299.00238
Open DOI Search in Google Scholar Back to article
Tichy, N M, Tushman, M L and Fombrun, C 1979 Social Network Analysis for Organizations. Academy of Management Review, 4(4): 507–519. DOI: 10.5465/amr.1979.4498309
Open DOI Search in Google Scholar Back to article
John, P 1999 Ideas and interests; agendas and implementation: An evolutionary explanation of policy change in British local government finance. The British Journal of Politics & International Relations, 1(1): 39–62. DOI: 10.1111/1467-856X.00003
Open DOI Search in Google Scholar Back to article
Gerrits, L M and Marks, P K 2015 The evolution of Wright’s (1932) adaptive field to contemporary interpretations and uses of fitness landscapes in the social sciences. Biology and Philosophy, 30(4): 459–479. DOI: 10.1007/s10539-014-9450-2
Open DOI Search in Google Scholar Back to article
Marks, P, Gerrits, L and Marx, J 2019 How to use fitness landscape models for the analysis of collective decision-making: a case of theory-transfer and its limitations. Biology & Philosophy, 34(1). DOI: 10.1007/s10539-018-9669-4
Open DOI Search in Google Scholar Back to article

Articles in this issue

DOI: https://doi.org/10.5334/jors.246 | Journal eISSN: 2049-9647

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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

Keywords:

Decision-making process,

case-study management

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

Volume 7 (2019): Issue 1