Technology Impact Cycle Tool

If this category is not applicable for this technology, please select 'Yes'.
It is important to understand the limitations of data and it is equally important to design your technology accordingly. Are you aware of limitations to the data used. How do you cope in your technology with concepts like subjectivity, incomplete datasets, feedbackloops and so on.
Data and insights about data change over time. Do you take this in account and how? How do you improve on the way you handle data? Do you consider that measuring something influences the thing you are measuring?
When using data to predict future behaviour, think about how sustainable these insights are: (1) what are the long term legal permissions to process the data? (2) can the data and used algorithms be kept current (3) is the data available for a reasonable period of time in the future, even when the source generator(s) are discontinued or sold to a third party?
If you profit from the use or sale of user data, do your users share in that profit? What options would you consider for giving users the right to share profits on their own data?
The idea of the technology impact tool is that it stimulates you to think hard about the impact of your technological solution (question 1-4). The answer can lead to changes in design or implementation, which is a good thing. Please list them here.


Ethical Data Assistant
5 Principles for Big Data Ethics


Big Data can't bring objectivity to a subjective world (from TechCrunch)
What's Up With Big Data Ethics? (article from Forbes Magazine)


Weapons of Math Destruction (Cathy O'Neill)
Everybody Lies