Vector Consensus: Decision Making for Collaborative Innovation Communities

Monguet, Josep María; Ferruzca, Marco; Gutierrez, Alfredo; Alatriste, Yadira; Martínez, Claudia; Cordoba, Carlos; Fernandez, Joaquín del Río; Sanguino, Teresa; Aguilà, Josep

doi:10.1007/978-3-642-16419-4_22

Cited by 9 publications

(11 citation statements)

References 8 publications

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“…To test this new approach, a geospatial web-GDSS application was designed and built combining such tools. A software function designed from the spatial version of the Delphi method (Di Zio & Pacinelli, 2011) was added to the real time Delphi method (Gnatzy et al, 2011), (Hsieh et al, 2011), and the Vector Consensus model (Monguet et al, 2010).…”

Section: Geospatial Collective Intelligence Approach In the Appreciat...mentioning

confidence: 99%

Geospatial Collective Intelligence Approach in the appreciation phase of military planning

Velez¹

2023

Ciencia y Poder Aéreo

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Military planning is an essential process by which it is possible to determine the best idea of manoeuver and the most efficient way to use of military power, allowing the commander to make accurate and timely decisions; for this purpose, it is essential to have a deep knowledge of military science and operational factors such as geographical space, force, and time, which allow to have greater probabilities of success in the execution of military operations. This article intends to propose a new approach in the assessment phase of military planning, which allows providing support to the commander in complex geographic scenarios, through which current and prospective geospatial patterns can be established, mainly focused on the planning, organization and use of land resources.

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Section: Geospatial Collective Intelligence Approach In the Appreciat...mentioning

confidence: 99%

Geospatial Collective Intelligence Approach in the appreciation phase of military planning

Velez¹

2023

Ciencia y Poder Aéreo

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“…Such proficient people can "respond, comment, or argue immediately, which allows direct feedback and almost infinite iterations" (Nowack, Endrikat, & Guenther, 2011). In fact, the core innovation of real time Delphi studies is the instant and automatic calculation and delivery of results (Monguet, 2010). As it has been observed in other areas, the technology-enabled performance of adapted Delphi may affect traditional consensus criteria and opens opportunities to improve the efficiency by shortening execution times (Gordon & Pease, 2006).…”

Section: Case-example Of a Digitized Real Time Delphimentioning

confidence: 99%

Health Consensus

Monguet

Trejo

Martí³

et al. 2017

International Journal of User-Driven Healthcare

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New tools are needed to facilitate the involvement of health professionals in healthcare participative processes, partially because a relevant segment of healthcare knowledge and decision-making is capillary distributed among them. A collaborative design strategy has been applied to the creation of an Internet tool to produce digitally adapted Delphi for healthcare purposes. During the period 2012-16 the prototype of the tool has been gradually improved through its application to 18 real cases. It is proposed the model Health Consensus as a digitally adapted Delphi supported by the various capabilities of Internet. The authors agree that Health Consensus is a useful and expandable tool for participative processes. The Internet provides several opportunities to overcome many of the limitations of conventional Delphi, as well as improving the final studies with new functionalities.

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“…3", en la que se adicionó una función que automatiza la versión espacial del método Delphi [17], pero modificada en base al método Delphi en Tiempo Real [18]- [20] y al modelo Vector Consensus [21]. En esta aplicación se puede presentar una encuesta cuyo propósito sea identificar los factores o aspectos que deben evaluarse en determinado espacio geográfico en dos etapas principales, la primera de ellas para juzgar el estado actual y la segunda para estimar el escenario deseable [22]; los expertos elegidos convenientemente para tal fin, participarán siempre bajo anonimato entre ellos, como lo establece el Método Delphi [23], y al analizar el conjunto de información que se proporciona en el propio sistema para el efecto, pueden responder la encuesta posicionando un punto sobre el mapa [17] y complementando su opinión con un breve mensaje de texto que avale su postura.…”

Section: Metodologíaunclassified

Conceptualisation and development of a collective spatial decision support system: The geospatial system of Collective Intelligence

Rosas

Velez

Monguet

et al. 2015

2015 10th Iberian Conference on Information Systems and Technologies (CISTI)

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Resumen -En este artículo se presentan los avances de una investigación que se centra en validar un sistema geoespacial inteligente para el soporte a la toma de decisiones en escenarios geográficos complejos a través del cual se podrán establecer patrones geoespaciales actuales y prospectivos, en base a las inteligencias colectiva y artificial. El sistema se enfoca principalmente en la organización y empleo de recursos en el territorio para la toma de decisiones en el proceso de planificación.Abstract -In this paper we present the progress of a research that focuses on validating an intelligent geospatial system aimed to support decision-making in complex geographic scenarios, whereby current and prospective geospatial patterns could be generated (through which it may provide ), with the support based on Collective Intelligence and Artificial Intelligence. The system mainly focuses on the organisation and management of resources linked to territories in order to support decisionmaking in the planning process.

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Vector Consensus: Decision Making for Collaborative Innovation Communities

Cited by 9 publications

References 8 publications

Geospatial Collective Intelligence Approach in the appreciation phase of military planning

Geospatial Collective Intelligence Approach in the appreciation phase of military planning

Health Consensus

Conceptualisation and development of a collective spatial decision support system: The geospatial system of Collective Intelligence

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