Posted by: marcelodagostino | May 7, 2015

#Realitymining, #BigData and #PublicHealth

At the Information Society, I can definitely state that the concept identified as “reality mining” will revolutionize Public Health at international level in a very short period of time. I would really like to have the power to make people join the movement that the MIT magazine, Technology Review, considered “one of the technologies most likely to change the way we live”.

To make it clearer, let’s see how the concepts evolved.

First, something that scientists called “data mining” appeared and it represents, in natural language, the computer science with the capacity to analyze large data sets using methods of artificial intelligence, automatic learning and statistics to capture information and turn it into something comprehensible.

Then, this evolved to what was called “text mining”, which incorporates the capacity to analyze – in addition to data – unstructured “full texts” which are hyper-linked.

And today, the Information Society comes up with this new and revolutionary concept called “reality mining”, that is 100% integrated to the concept of “big data”. According to Wikipedia: “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 means, “something” which allows to identify and anticipate situations and make decisions based on human social behavior.

How does all this relate to Public Health?

In recent years, thanks to the fast-paced growth of connectivity in the world, access to health services became something that could be available for all, using telemedicine in the most remote and vulnerable areas, mainly through mobile phone technology, the most relevant communication technology at global level.

Internet and mobile utilization provide an unbelievable amount of data as regards the social behavior of people, such as Internet searches, messages posted on social networks, products bought, places visited, where people eat, etc., among other daily activities. This data, properly used within ethical standards, can create new opportunities to identify and monitor public health issues such as the early occurrence of diseases, outbreak detection, spread of certain kinds of influenza, quick identification of food-borne diseases, etc., as well as to provide support in disasters and emergency situations through the quick location of people, among others. And although this is not specifically the subject of this post, it is important to remember the origin of the Katrina People Finder tool used during the renowned hurricane that devastated the city of New Orleans in the United States. This project was implemented during the course of the emergency by a group of volunteers who manually recorded more than 15,000 names of lost and affected people on a Wiki platform so that others could be found. Consequently, it is very important to understand that the web contains much more information about “us” that we ourselves have or create, and today this is known as “digital shadow”.

In 2008, Google and the US-CDC (Centers for Disease Control), launched a web site called Google Flu Trends which, by analyzing Internet searches, allows to reveal the estimate occurrence of a comparable disease in a particular sector of the population during a certain period of time. The idea was conceived based on the premise that increasingly often people access Google to search for flue-related topics when they have flue.

If we consider non-communicable diseases (NCDs) from the point of view of social behavior, new theories emerge suggesting that “non-communicable diseases” might start to be “communicable”, symbolically speaking, as a result of “imitating” human behaviors easily accessible through social networks. And this includes both positive aspects, such as the good practices of physical activity or healthy food consumption, recommended readings, etc., as well as negative aspects which include unhealthy habits such as smoking, high-fat and high-calorie food consumption, lack of physical exercise, unsafe habits, etc., among other practices that might be “imitated” from our virtual connections or people we follow on social networks because they capture our admiration or interest.

This is the case of communicable diseases. Research and control of communicable diseases could greatly benefit from data captured by mobile phones or “clicks” on social behaviors. They are extremely powerful tools for the early detection of cases or identification of affected areas.

Allow me to share some data from different specialized sources in Internet statistics that enable the visualization of the mass of data stored in and transmitted through cyberspace which is part of the most important mega-source of information and knowledge ever in the history of humanity and which essentially shows a growing trend:

– In 2010, 107 trillion emails (294 billion per day) were sent, out of which 89.1% are assumed to be unsolicited emails (SPAM).

– There are 1.88 billion email users around the world (2.9 billion is the number of email accounts worldwide, which indicates 3 email accounts every 2 people).

– There are 255 million websites (webpage portals) worldwide.

– Internet has 1.97 billion users in the world.

– There are 152 million blogs.

– Just in 2010, 25 billion tweets were sent on Tweeter.

– As of September 2010, Twitter had 175 million users

– By the end of 2009, Facebook had 600 million users (250 million incorporated as new users just in 2010).

– By the end of 2010, 30 billion pieces of content (photos, links, messages, etc.) were shared on Facebook per month.

– 2 billion videos are watched per day on YouTube.

– Flickr hosted 5 billion photographs uploaded by users, while Facebook hosts 36 billion of photos per year.

There is so much to do and, in general, we expect others to provide the solution. Yet, if we understand that we are the players in this new social movement, we can bring a radical change to the health of our societies and support our governments for better decision making. Therefore, we need to understand that it is our duty and responsibility to make the attempt.

I’m impressed and positively surprised to observe that, as time goes by, one of the first definitions of Internet given by Al Gore (as Vice President of the United States), which in theory should be increasingly moving away from reality, becomes more and more valid: “Internet is a new form of society oriented toward people”.

I would like to end with a quote from the report Digital Life in 2025: “Experts predict the Internet will become ‘like electricity’ — less visible, yet more deeply embedded in people’s lives for good and ill.” Source: PewResearch Internet Project

Posted by: marcelodagostino | May 5, 2015

Management in the Information Society

I personally feel that not much has been re-written (or reflected) about new managerial models or concepts, and I am increasingly convinced that management is no longer what it was before the Information Society. Thus, I believe it should be thoroughly researched to cease implementing pre-Information-Society managerial models.

It is not the same to manage uninformed teams (or people) than mega-informed teams, with the understanding that mega-information does not always mean ‘good’ information, which leads to added complications when implementing decisions.

We are – wisely or not so wisely – questioned and advised; and we live in a decision-making world where the easy access to information generates the false sensation of vast knowledge or wisdom, which we should know how to manage.

Neither is it the same to manage only face-to-face teams than teams in different countries and locations, teams which are miles away and, at the same time, just a click away. Moreover, these teams may speak 3 or 4 different languages and belong to different cultures and religions, among other relevant differences to consider, learn, understand and respect.

It is not so simple to differentiate between those who are just “connected” and those who are “communicated”, and we may sometimes doubt if we are coexisting with teams -or networks of experts- or with mere “users” connected with other people using some common space or tool. This situation might lead to unreal situations that may impact some decision making and actions.

It is not easy to decide whether the people in a team are studying in deep how to generate and exchange content, information and knowledge or whether they are just specialists in reusing existing information, thus further widening their information gap, which remains covered up by an easy-to-access overload of content.

Anyway, I do not wish to go into much detail, but I did want to open a space for collective thinking on new managerial models for the Information Society.

Thanks a lot.


Posted by: marcelodagostino | May 4, 2015

La Gerencia en la Sociedad de la Información

En lo personal creo que no se ha re-escrito (ni reflexionado) mucho acerca de los grandes escritos que existen sobre modelos gerenciales, y cada vez estoy mas convencido de que la gerencia no es igual en la Sociedad de la Información de lo que lo fuera en el pasado. Y creo que esto debe ser estudiado en profundidad y no seguir tratando de aplicar modelos gerenciales datados en eras pre-conectividad.

No es lo mismo gerenciar equipos (o personas) desinformados que equipos mega-informados, entendiendo que muchas veces la mega-información no necesariamente significa buena información, asunto que genera complicaciones adicionales a la hora de implementar decisiones.

Se es mas cuestionado, sabia o no tan sabiamente, y se vive en un mundo de toma de decisiones que navega en un ambiente en donde el fácil acceso a información genera una falsa sensación de mayor sabiduría o mayor conocimiento, que debemos saber administrar.

No es lo mismo gerenciar equipos únicamente presenciales, que equipos distribuidos en varios países y lugares. Equipos que físicamente están a miles de kilómetros pero que al mismo tiempo están están al alcance de un click de distancia. Agregando la complejidad de que esos equipos pueden hablar 3 o 4 idiomas diferentes y ser parte de culturas y religiones diversas, entre otros aspectos de convergencias importantísimas a considerar, aprender, entender y respetar.

No se logra descifrar fácilmente quienes están solo “conectados” y quienes están “comunicados”, y muchas veces se puede generar la duda de estar coexistiendo con redes de expertos o simplemente con “usuarios” conectados en algún espacio o herramienta común. Esta situación puede generar ambientas irreales que desvíen la forma en que se toman determinadas decisiones.

No se logra discernir si las personas de algún equipo profundizan en la generación e intercambio de información y conocimiento, o simplemente son verdaderos expertos en reutilizar contenidos existentes, aumentando aun mas su brecha de conocimiento que queda enmascarada en una sobre carga de información de fácil acceso.

En fin, no me quiero extender en este post pero si quería abrir una reflexión colectiva para poder pensar en red acerca de modelos gerenciales en la Sociedad de la Información.

Muchas gracias

14 Tweest #CoPs = Communities of Practices –#KM4ALL= Knowledge for all –Key 4 #PublicHealth

  1. #CoPs = groups, people, networks or institutions interchanging information or discussing ideas on a subject of mutual concern #KM4ALL
  2. CoPs Target= specialized knowledge + shared knowledge = problem-solving or new ideas + innovation #KM4ALL
  3. CoPs expected results (1 & 2) = Problem-solving + Emergence of new ideas #KM4ALL
  4. CoPs expected results (3 & 4) = Knowledge sharing + Development of best practices #KM4ALL
  5. CoPs expected results (5 & 6) = Lessons learned + Collective thinking #KM4ALL
  6. CoPs Premises (1) = Motivation to generate open and free environment to encourage creativity #KM4ALL
  7. CoPs Premises (2) = Motivation to freely share knowledge and information, with strong personal commitment #KM4ALL
  8. CoPs Premises (3) = Guaranteeing freedom of expression #KM4ALL
  9. CoPs Premises (4) = Applying rules to generate idea sharing #KM4ALL
  10. CoPs Premises (5) = promoting creativity and building criteria. #KM4ALL
  11. CoPs Premises (6) = rules should limit expected outcome #KM4ALL
  12. CoPs Premises (7) = Generation of mechanisms to allow group self-evaluation #KM4ALL
  13. CoPs Premises (8) = Clarity of critical path allowing achievement of proposed outcome #KM4ALL
  14. CoPs Premises (9) = space to identify new opportunities or generate new ideas.#KM4ALL
Posted by: marcelodagostino | April 27, 2015

Informed decisions and decision-making in #PublicHealth

13 tweets 4 U –> sharing & learning together on the net

  1. Decision making: Definition (Part I) ( Hellriegel &, Slocum): “process of defining problems, collecting data …) #KM4ALL
  2. Decision making: Definition (Part II) …generating alternatives and selecting a course of action” #KM4ALL
  3. Informed decision-making #Health = Use of validated data and scientific and technical references that improve decision-making #KM4ALL
  4. Informed decision-making in Health = mechanism improving development of policies, products and services in health facilities #KM4ALL
  5. Informed decision-making in #Health = important to understand and analyze problem or need before suggesting action #KM4ALL
  6. Informed decision-making in #Health = Strengthening individual & collective capacities to improve standards & procedures #KM4ALL
  7. Informed decision-making in #Health = Improves internal & external flows of information resulting from decisions made #KM4ALL
  8. Informed decision-making in #Health = process to be incorporated in institutional standards & procedures #KM4ALL
  9. Informed decision-making in #Health (Characteristics 1-4) = Based on reliable sources of information #KM4ALL
  10. Informed decision-making in #Health (Characteristics 2-4) = resulting decision respects & reflects references used #KM4ALL
  11. Informed decision-making in #Health (Characteristics 3-4) = decision becomes action #KM4ALL
  12. Informed decision-making in #Health (Characteristics 4-4) = Is recorded in institutional memory and widely disseminated #KM4ALL
  13. Informed decision-making in #Health = Change and impact on organizational culture #KM4ALL

Me da rabia ver que la mayoría de la información que existe sobre el uso de la web social o redes sociales se focaliza en sus aspectos negativos y se publica muy poco sobre sus aspectos positivos en la parte emocional de las personas. Y en general, los aspectos positivos que se destacan se limitan al poder que tienen para el marketing y los negocios.

Cuando busco cosas como “efecto de las redes sociales”, aparece primero cosas como “Redes sociales producen efectos negativos en las personas”, “El efecto de las redes sociales es, sobre todo, negativo” o “Consecuencias de las adicciones a las redes sociales”, y solo mas adelante y casi escondido aparecen cosas como “Los efectos positivos y negativos de las redes sociales …”, en donde aparece la palabra “positivos” seguida inmediatamente por “y negativos” como si fuera un error del texto que apareció sin querer.

Yo me he preguntado muchas veces sobre los efectos positivos que estas redes deben haber producido a millones de personas que viven en un mundo cada vez mas plano. Poder comunicarse en cualquier momento con cualquier ser querido, de manera sincrónica o asincrónica” es una de las cosas mas valiosas que hoy tiene esta sociedad de la información. Y si bien aun quedan millones de personas sin conectividad, estoy seguro y lo he dicho una y mil veces, Internet es una de las pocas cosas que me animo a animar que siempre va a mejorar y algún día, tarde o temprano, no habrá un solo lugar en la tierra que no tenga acceso y derecho a usarlo.

La gran responsabilidad que tenemos los que hoy tenemos acceso a la www, y conocimiento de cómo usarla, es transmitirlo pero también generar conciencia tanto como sea posible para que no haya tomador de decisión en el mundo que no coloque el acceso a internet y la alfabetización digital como una alta prioridad.

No logro imaginar como seria mi vida, emocionalmente hablando, si en días como estos (Navidad, año nuevo, cumpleaños de seres queridos o propio, etc) no podría estar “a un click de distancia” de aquellos que uno decide contactar, otro inmenso valor de esto. No dudo que el uso de las redes sociales debería estudiarse también como un factor importante en apoyo a la salud mental de las personas y creo que hay que generar debates específicos sobre esto con especialistas y usuarios activos de redes sociales.

Felicidades a todos y todas y buen 2015.



December 23, 2014Series of Tweets published at @marcelodagos

#Foodsafety = @who World Health Day 2015

End of the year, a good time to read & share information about #Foodsafety = @WHO World Health Day 2015 @KBR4PH @PAHOresearch

@WHO is promoting efforts to improve #foodsafety, from farm to plate (and everywhere in between) on World Health Day, 7 April 2015

@who “Unsafe food is linked to the deaths of an estimated 2 million people annually – mostly children.”

#Foodsafety & related concepts: #OnlineSocialBehaviorAnalysis, preliminary findings of a personal analysis (next tweets)

#Foodsafety My initial question: Do we really need more content on the web? Or we need a deep analysis on the current content?






#Foodsafety  need + content on the web? Or + analysis on the current content? #OnlineSocialBehaviorAnalysis @KBR4PH

#Foodsafety” & #Foodsecurity” w/regional interest on “#Foodsafety. General public is not clear with the concepts… yet.


Sometimes (for gral public) #Foodsecurity and #Foodsafety are interchanged conceptually #OnlineSocialBehaviorAnalysis



Information found on #FoodSafety has increased over time showing + interest among health-related organizations, professionals, news agencies & the general public

English notably surpasses Spanish in the number of tweets, Facebook posts & results in web searches. #OnlineSocialBehaviorAnalysis #bigdata

The use of a hashtag helps to concentrate all the information. In the case of English, #foodsafety has been increasingly used since Nov 2013

There are a considerable number of posts both in Twitter and Facebook not using a #Foodsafety hashtag. #OnlineSocialBehaviorAnalysis

There is a positive relation between the accounts using #Foodsafety & being in the 1st results of a web engine #OnlineSocialBehaviorAnalysis

#Foodsafety In Spanish, there seems 2 be a + correlation between: “Seguridad alimentaria” “Alimentos sanos” “Comida sana” “Comer sano”

#Foodsafety There is a big opportunity to influence the Spanish speaking (web users) populations #OnlineSocialBehaviorAnalysis

@who “#Foodsafety next 5 tweets = 5 keys to safer food

@who “#Foodsafety key nro 1 to safer food : Keep clean

@who “#Foodsafety key nro 2 to safer food: Separate raw and cooked food

@who “#Foodsafety key nro 3 to safer food: Cook food thoroughly

@who “#Foodsafety key nro 4 to safer food: Keep food at safe temperatures

@who “#Foodsafety key nro 5 to safer food: Use safe water and raw materials

End of the year, a good time to read & share information about #Foodsafety = @WHO World Health Day 2015

Count down to @who World Health Day – 7 April 2015

Remember “#Foodsafety is a shared responsibility” pls RT & share what you know (want to know) about #Foodsafety

With #Bigdata, #OnlineSocialBehaviorAnalysis is possible. With #OnlineSocialBehaviorAnalysis, a better #health is possible #Foodsafety

#Foodsafety: #OnlineSocialBehaviorAnalysis , just my personal analysis trying 2 work on a new paradigm on content-analysis & web-navigation

#Foodsafety: A lot of content … Good? Evidence-based? Bad? A little bit of everything Pls, read, analyze & share

#Foodsafety for a better 2015, Summary of all my #Foodsafety tweets at @marcelodagos

PD: Este post esta dedicado a mi gran amigo y gran profesional de la Salud Publica Veterinaria, el Dr. Albino Jose Belotto

Albino Belotto

Albino Belotto








con quien (y junto a otros colegas que jamas olvidare) tuve el enorme placer de conocer el mundo de la inocuidad de los alimentos.

Posted by: marcelodagostino | December 21, 2014

Navegar la web es como ser padre, nadie te enseña y aprendes navegando

No se realmente como llegue a este post pero ayer tomando una ducha se me vino esta comparación a la cabeza y la verdad es que me encanta.

Pensalo bien, nadie te enseña a hacerlo (o serlo), muchísima ente opina, en general aprendes navegando, vas corrigiendo a medida que te vas equivocando y te vas consolidando y aprendiendo a medida que vas acertando. Eso es al menos lo que me pasa a mi en mi rol de padre. Y sobre todo, vas aprendiendo a medida que la información va apareciendo o las cosas te van saliendo, asunto que es igual a como vamos aprendiendo de nuestros hijos o hijas con toda su sabiduría y amor incondicional. Y que bueno que para algo tan complejo y tan único no haya una formula. Esa es la parte que mas me gusta.

Muchas gracias hija!!!. Te amo.


Posted by: marcelodagostino | December 17, 2014

El ciclo de la responsabilidad del #conocimiento

Hoy me puse a pensar en la responsabilidad que tenemos todas las personas que contamos con buen acceso a información. No se si logramos percibir lo afortunados que somos al poder renovar nuestro saber en el momento que queremos y con mas herramientas disponibles de las que somos capaces de manejar. Por ello hice este gráfico que me gustaría que se haga viral. Viral no por ganar mas clicks o RTs,, sino porque estoy convencido de que el día que los trabajadores de la Salud apliquemos este ciclo de manera natural, estaremos haciendo una enorme contribución a la salud publica mundial.

Screen Shot 2014-12-16 at 10.12.06 PM

Proyecto “#BigDataPublicHealth” at @marcelodagos – Serie 2 – 20 Tweets: Fijando conceptos + otros datos importantes

  1. #BigDataPublicHealth : Serie 2 = 20 Tweets = Fijando conceptos + otros datos importantes. Recordar serie 1 en
  2. #BigDataPublicHealth : termino en ingles = “Big Data”. Casi nadie lo usa en español = Datos Masivos
  3. #BigDataPublicHealth : Como proceso: se refiere a la Acumulación masiva de datos Fuente #Wikipedia
  4. #BigDataPublicHealth : Como Producto: se conoce como #datosmasivos, y también como Datos a gran escala. Fuente #wikipedia
  5. #BigDataPublicHealth : dice IBM: “Todos formamos parte de ese gran crecimiento de datos” ye esto se aplica al ámbito de #saludpublica
  6. #BigDataPublicHealth : se refiere ppalmente al uso de datos e información “no estructurada” o “no convencional”
  7. #BigDataPublicHealth : (información “no estructurada” o “no convencional”) = Redes sociales, llamadas al 911, compra de medicamentos, etc
  8. #BigDataPublicHealth : Introduce un nuevo concepto #RealityMining” = Análisis del comportamiento social de las personas
  9. #BigDataPublicHealth : Los medios móviles proporcionan un enorme flujo de datos “no estructurados” sobre el comportamiento humano
  10. #BigDataPublicHealth : “En 2016 habrá cerca de 18.900 millones de dispositivos conectados a la Red”
  11. #BigDataPublicHealth : Importante combinar múltiples fuentes tradicionales y no tradicionales de información
  12. #BigDataPublicHealth : Info-tradicional+Info-no_tradicional = Cuadro + rápido d la salud d la gente q datos “tradicionales” x sí solos
  13. #BigDataPublicHealth : Recuerden: Es mejor tener datos imperfectos que no tener datos y hoy hay “demasiada información”
  14. #BigDataPublicHealth : Hoy generamos y almacenamos + información que nunca en la historia de la humanidad. Donde se almacena, como se accede y usa?
  15. #BigDataPublicHealth : ¿ demasiada información? Recomiendo ver “CISCO: Internet será cuatro veces más grande en 2016”
  16. #BigDataPublicHealth : “2016 habrá 3.400 millones d usuarios d Internet, aprox el 45 % de la población mundial” x @UN
  17. #BigDataPublicHealth : tráfico gbl d datos sera d 130 Exabytes anuales = 33 billones d DVDs = 813 cuatrillones d txt
  18. #BigDataPublicHealth : Para 2016 1,2 millones de minutos de vídeo cruzarán Internet cada segundo
  19. #BigDataPublicHealth : Todas esas fuentes de información “no convencionales” bien usadas son de inmenso valor para la #SaludPublica
  20. #BigDataPublicHealth : tarde o temprano, todo ser humano será una fuente de información y un/a productor/a de contenidos de alto valor.

Serie 1 – 15 tweets: Introducción y conceptos generales (Click here)

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