The Clean Insights Approach
Clean Insights gives developers a way to plug into a secure, private measurement platform. It is focused on assisting in answering key questions about app usage patterns, and not on enabling invasive surveillance of all user habits. Our approach provides programmatic levers to pull to cater to specific use cases and privacy needs. It also provides methods for user interactions that are ultimately empowering instead of alienating.
Read more below, or review our specification and review our project overview presentation.
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Data Minimization
Take only what you need
Only the minimum amount of usage and behavioral data should be gathered to answer a determined set of questions. The frequency, range, and level of details of measurements should be as small as possible.
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Source Aggregation
No Needles, Only Haystack
Possibly identifying data should not be held in any part of the system longer than necessary, aggregated at the source at the earliest possible time.
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Detail Generalization
Dilute, Rinse, Repeat
Dilute the attributes of data subjects by modifying the respective scale or order of magnitude (i.e. a region rather than a city, a month rather than a week)
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Engaged Transparency
Get Consent Early & Often
Always get consent, and the scope of the data collection and algorithms used should be made publicly available and well explained.
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Better Living
Through
Insights!
