Public Project Portfolio Optimization under a Participatory Paradigm

Joint Authors

Olmedo, Rafael
Fernandez, Eduardo

Source

Applied Computational Intelligence and Soft Computing

Issue

Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-13, 13 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2013-01-30

Country of Publication

Egypt

No. of Pages

13

Main Subjects

Information Technology and Computer Science

Abstract EN

A new democracy paradigm is emerging through participatory budgeting exercises, which can be defined as a public space in which the government and the society agree on how to adapt the priorities of the citizenship to the public policy agenda.

Although these priorities have been identified and they are likely to be reflected in a ranking of public policy actions, there is still a challenge of solving a portfolio problem of public projects that should implement the agreed agenda.

This work proposes two procedures for optimizing the portfolio of public actions with the information stemming from the citizen participatory exercise.

The selection of the method depends on the information about preferences collected from the participatory group.

When the information is sufficient, the method behaves as an instrument of legitimate democracy.

The proposal performs very well in solving two real-size examples.

American Psychological Association (APA)

Fernandez, Eduardo& Olmedo, Rafael. 2013. Public Project Portfolio Optimization under a Participatory Paradigm. Applied Computational Intelligence and Soft Computing،Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-505869

Modern Language Association (MLA)

Fernandez, Eduardo& Olmedo, Rafael. Public Project Portfolio Optimization under a Participatory Paradigm. Applied Computational Intelligence and Soft Computing No. 2013 (2013), pp.1-13.
https://search.emarefa.net/detail/BIM-505869

American Medical Association (AMA)

Fernandez, Eduardo& Olmedo, Rafael. Public Project Portfolio Optimization under a Participatory Paradigm. Applied Computational Intelligence and Soft Computing. 2013. Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-505869

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-505869