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Movilización social de tiempo crítico.

Galen Pickard¹, Wei Pan, Iyad Rahwan

¹Media Laboratory, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA.

Science (New York, N.Y.)

|October 29, 2011

Resumen

El Desafío de Red de la Agencia de Proyectos de Investigación Avanzada de Defensa (DARPA) demostró cómo un mecanismo de incentivo recurrente podría movilizar rápidamente a las personas en línea para encontrar 10 globos meteorológicos rojos en menos de 9 horas, ganando la competencia.

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Área de la Ciencia:

Ciencias de la computación Ciencias de la computación
La computación social es la computación social.
Ciencia de la red Ciencia de la red Ciencia de la red

Sus antecedentes:

La World Wide Web permite una acción colectiva a gran escala.
La movilización social es un área clave de investigación.
Los métodos anteriores para la coordinación a gran escala eran limitados.

Objetivo del estudio:

Para explorar el potencial de la World Wide Web para la movilización social.
Para probar un nuevo mecanismo de incentivo recurrente para la finalización de la tarea.
Para ganar el Desafío de Red de la Agencia de Proyectos de Investigación Avanzada de Defensa (DARPA).

Principales métodos:

El estudio involucró la localización de 10 globos meteorológicos rojos en todo el territorio continental de los Estados Unidos.
Se empleó un mecanismo de incentivo recurrente para difundir información y motivar la participación.
El rendimiento del equipo se comparó con modelos teóricos y otros enfoques.

Principales resultados:

El mecanismo de incentivo recursivo implementado localizó con éxito los 10 globos en menos de 9 horas.
Este enfoque demostró ser muy eficaz para lograr una movilización social rápida y a gran escala.
El mecanismo demostró tanto la solidez teórica como la eficacia práctica.

Conclusiones:

Los mecanismos de incentivos recurrentes son una herramienta poderosa para la movilización en línea a gran escala.
El estudio valida el potencial de la World Wide Web para tareas complejas y sensibles al tiempo.
Este enfoque ofrece una solución escalable para los futuros desafíos de crowdsourcing.