My new equation:
((Big data +Reality mining + Digital Footprint + Digital Shadow + Behavioral targeting) = Unlimited imagination for the good of humanity))
La ecuación es mía en forma de metáfora, sin embargo las definiciones son tomadas textualmente de la Wikipedia y este post va mucho mas allá de las definiciones en si mismas. Tiene por objetivo que todos y todas podamos familiarizarnos con estos conceptos para implementarlos de manera inter-conectada. Tarde o temprano vamos a necesitarlos.
La riqueza de conocer y entender un concepto cuando esta naciendo es que tenemos la capacidad, posibilidad y muchas veces la responsabilidad de influenciarlos, moldearlos con principios éticos y adaptarlos a nuestro campo de acción específico, así como contribuir socialmente a su maduración para mejor uso en otras áreas de la ciencia. En mi caso, la Salud Publica.
Esto complementa el post que escribí la semana pasada llamado ““Reality mining”, somos protagonistas y podemos revolucionar la Salud Publica – Rev. 1”
1.Big data
“Big data is the term for a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications. The challenges include capture, curation, storage, search, sharing, transfer, analysis and visualization.” (http://en.wikipedia.org/wiki/Big_data)
2.Reality mining
“Reality mining is the collection and analysis of machine-sensed environmental data pertaining to human social behavior, with the goal of identifying predictable patterns of behavior. It was declared to be one of the “10 technologies most likely to change the way we live” by Technology Review Magazine. Reality mining studies human interactions based on the usage of wireless devices such as mobile phones and GPS systems providing a more accurate picture of what people do, where they go, and with whom they communicate with rather than from more subjective sources such as a person’s own account. Reality mining is one aspect of digital footprint analysis. “(http://en.wikipedia.org/wiki/Reality_mining)
3.Digital Footprint
“A digital footprint is the trail of data that is left behind by users on digital services.[1] There are two main classifications for digital footprints: passive and active. A passive digital footprint is created when data is collected about an action without any client activation, whereas active digital footprints are created when personal data is released deliberately by a user for the purpose of sharing information about oneself. “(http://en.wikipedia.org/wiki/Digital_footprint)
4.Digital Shadow
“A digital shadow is a trail of visibility that can be found within the Internet and other digital records. The term usually applies to an individual person, but can also refer to a business, organization, corporation or object. It is often confused with Internet footprint; although very similar, the distinction lies in the fact that no intention or interaction is required to create a digital shadow. The term is generally taken to refer to how easy it is to find a person using popular search engines such as Google or AOL. One with a larger digital shadow may be found more easily, although there is currently no quantitative measurement for the size of a particular person’s shadow.”
5.Behavioral targeting
“Behavioral Targeting refers to a range of technologies and techniques used by online website publishers and advertisers aimed at increasing the effectiveness of advertising using user web-browsing behavior information. In particular, “behavioral targeting uses information collected from an individual’s web-browsing behavior (e.g., the pages that they have visited or the searches they have conducted) to select advertisements to display”. When a consumer visits a web site, the pages they visit, the amount of time they view each page, the links they click on, the searches they make and the things that they interact with, allow sites to collect that data, and other factors, create a ‘profile’ that links to that visitor’s web browser. As a result, site publishers can use this data to create defined audience segments based upon visitors that have similar profiles.” (http://en.wikipedia.org/wiki/Behavioral_targeting)
Dijo Albert Einstein “Imagination is more important than knowledge”. Imaginemos entonces !!!!!
Marcelo D'Agostino 
Estimado Marcelo, totalmente de acuerdo con tu fórmula.
Es espléndido pensar que estamos en un época de convergencia, en el cual muchas disciplinas se unen para lograr Progreso social, celebro tu invitación y espero logres convocatoria para contribuir con ese logro,
Todos estos temas de manejo de bases de datos que hasta ahora son tratados como tecnología dura, si son aunados a lo sociológico, antropológico, organizacional, política, neurociencia, gestión de conocimiento como tecnologías blandas, mucho será lo que logremos,
Ya tenemos ejemplos, que han sacado gran provecho del análisis de grandes masas de data, provecho por cierto más individual o empresarial, por ejemplo el caso de AMAZON o el mismo google, manejan la data de tal manera que personalizan las búsqueda, conocen el patrón de comportamiento que les hace fácil la persuasión en la compra.
Esas experiencias son definitivamente transferibles al campo de salud ya sea de manera estructurada, por ejemplo por la utilización de las historias clínicas electrónicas como fuente primaria o por información no estructurada formalmente sino agregada a través de registros desde portales, redes sociales es lo que llamas el seguimiento de sombras de usuarios (digital shadow).
Tal vez lo más importante es definir los objetivos y metas.
En resumen, gracias por estos post, en lo particular sigo tu consejo, estas ideas me ponen a imaginar
Mis mas cordiales saludos
Marielvi
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Que alegria me da siempre recibir tus lindos comentarios. Muchas gracias !!
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