Technology Impact Cycle Tool

Depending on the technology your assessing, some categories are more important than others. Here you can indicatie how important you think this category is for this technology.
If this category is not applicable for this technology, please select 'Yes'.

(Only the gray shaded text is printed on the Quick Scan canvas)

It is important to understand the limitations of data and it is equally important to design a technology accordingly. Are you aware of limitations of the data used? How does this technology copes with concepts like subjectivity, incomplete datasets, feedbackloops and so on? We strongly recommend to use extra links to delve into the shortcomings of data.

(This question is part of the Quick Scan)

Data and insights about data change over time. Does the technology takes this into account and how? How does the technology improve on the way it handles data? Do you consider that measuring something influences the thing that is measured? Things like a self-fullfilling prophecy.
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 the technology profits from the use or sale of user data, do the users share in that profit? What options would are considered for giving users the right to share profits on their own data?

(Only the gray shaded text is printed on the Improvement Scan canvas)

If you think about the limitations of data. Things like subjectivity, incomplete datasets and so on. If you think about the way new insights are handled. If you think about the sustainability of the collection of data or the data that is collected from the users. If you think about all that, what would you (want to) improve on this technology? The idea of the technology impact tool is that it stimulates you to think hard about the impact of your technological solution in this case data. (question 1-4). The answer can lead to improvemenst in design or implementation, which is a good thing. Please list them here.

(This question is part of the Improvement Scan)

Are you satisfied with the quality of your answers? The depth? The level of insight? Did you have enough knowledge to give good answers? Give an honest assessment of the quality of your answers.


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