My Digital FootPrint

This is also published on LinkedIn and Medium as well  Data is Data.  It is not Oil or Gold or Labour or anything else! Words, in general, are a creative symbolic linguistic invention through which people invoke concepts and meanings that are flexible enough to enable we Homo sapiens to shortcut detailed explanations.  A dog = mammal, furry, four legs, barks, teeth etc. However, words; because they are a shortcut, often lack context and relationship that add “meaning”. Words are “data” which requires the addition of meaning derived from context to “inform” the listener - to become “inform-ation.”   Love, for example, can mean, or be interpreted to mean, many propositions depending on context and relationship. The 2019 update to the New Oxford Dictionary brings in the words   agender and intersexual to help define better and enable more nuanced conversations about  sexuality and gender identity, as society has words without the specific context and better words help avoid

We humans set a premium on our own free will and independence ... and yet there's a shadowy influence we might not be considering. As science writer Ed Yong explains in this fascinating, hilarious and disturbing talk, parasites have perfected the art of manipulation to an incredible degree. So are they influencing us? It's more than likely. Love the challenge and what data might tell us that we don't want to know. 

Thinking about data and what it can tell us Is there an equation for intelligence? Yes. It's F = T ∇ Sτ. In a fascinating and informative talk, physicist and computer scientist Alex Wissner-Gross explains what in the world that means.

Source :  https://www.facebook.com/notes/facebook-data-science/the-formation-of-love/10152064609253859 This is the Facebook view of the world of relationships which start with a period of courtship on Facebook ( e.g messages are exchanged, profiles are visited, posts are shared on each other's timelines.) = snooping.  The graph shows the average number of timeline posts exchanged between two people who are about to become a couple. We studied the group of people who changed their status from "Single" to "In a relationship" and also stated an anniversary date as the start of their relationship. During the 100 days before the relationship starts, we observe a slow but steady increase in the number of timeline posts shared between the future couple. When the relationship starts ("day 0"), posts begin to decrease. We observe a peak of 1.67 posts per day 12 days before the relationship begins, and a lowest point of 1.53 posts per day 85 days int

If data is…. My transaction data. Data from any, all and every transaction – spending, investment, bills, gifts, selling and free – www.mint.com Environment Data.  Where you are, what your environment is like, wind speed, temperature, gas usage, petrol consumption – everything.   www.efergy.com , www.theowl.com www.eco-eye.com www.diykyoto.com  :   Quantified self . Sensor Data from Google Glass , Nike+ sportwatch , Zeo sleep manage , Omron blood pressure monitor , Accu-Check blood glucose meter ,  Fitbit Flex wristband , Sportline heart rate monitor , MoodScope log and 1,000’s of sport apps on your smartphone.  Should the data be in silo or under my control or both? Routes and Routine data.   All your geo data www.waze.com , https://foursquare.com Content Data.   All data about how you create, use, consume, generate, recommend, share, about you, generate for any and all types of media and content – too many to mention Medical data. You and your

Image. It is an algorithm: globalimaging.com/images/modis-atmos.jpg Algorithms     are the foundation of your computing interactions. An algorithm is the means by which a computer program can make decisions about you, for you, or decisions that affect you.  Algorithms are the translation of what you do into rules and policies that a computer understands (i.e. 0s and 1s). Like it or not, you are influenced by them as much as you influence them. Algorithms need data, they use digital data that you give, leave or have tracked about you (willingly or not).  This input into an algorithm is your digital footprint, which comes from Facebook, Twitter, text messages, email, key stokes, swipes, gestures, play lists, payment records, your routes, navigation – indeed anything you do which is an interaction with an electronic device. This is the basis of what an algorithm knows about you. It is how an algorithm can model you, it takes input and predicates based on what you have done and