Data Science for Social Good, Chicago 2017
Respondents do not want to be respondents anymore!
In the long run this model is clearly not sustainable but researchers act like the general population of respondents is infinite or it is an easily renewable resource.
This is not only wrong but also harmful!
This situation can be seen as the classic "tragedy of the commons" describing a situation where a shared resource is spoiled and depleted by collective actions of all the actors driven by their individual self-interest which is at odds with the long-term interests of the common good.
On-line research techniques are not natively on-line.
They simply mimic off-line techniques.
They are mainly off-line questionnaires converted into more or less advanced HTML forms with some additional functionalities (like randomization, skip logic, new question types) but they are still:
The feedback for a given respondent can be based on different data sources:
The role of Data Science is to use multiple data sources, statistical inference, machine learning algorithms, and interactive data visualization, among others, to provide feedback to the respondents, which is