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Big Data en lo público

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Big Data en lo público

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About this activity

Quiz sobre toma de decisiones y perfilado

Created by

Angie Cardenas
Angie Cardenas
Colombia

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Big Data en lo público
 

Big Data en lo públicoOnline version

Quiz sobre toma de decisiones y perfilado

by Angie Cardenas
1

¿Qué busca el Big Data en el sector público al combinar datos y políticas?

2

¿Qué es el perfilado en el contexto de Big Data?

3

¿Qué es la segmentación macroscópica según el material?

4

Cuál es una técnica algorítmica de perfilado mencionada?

5

Qué es Nudging en el contexto del perfilado?

6

Qué preocupación ética se destaca en el perfilado?

7

¿Qué se entiende por 4 filtros del perfilado ciudadano?

8

Qué problema puede surgir si el algoritmo estigmatiza un barrio?

Explicación

El Big Data permite anticipar necesidades y proponer soluciones, no solo almacenar datos.

Perfilado crea retratos para predecir respuestas ante políticas, y va más allá de la segmentación común.

Segmentación macroscópica divide por variables como estrato o municipio para planes generales.

Clustering agrupa similitudes ocultas para perfiles.

Nudging usa sesgos para promover conductas beneficiosas sin prohibir.

Privacidad y consentimiento son pilares éticos clave en el uso de perfilado.

Los 4 filtros son Demográficos, Comportamentales, Psicográficos y Geográficos.

La estigmatización algorítmica puede conducir a desigualdad y exclusión.

 
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