It is clear that quantified self-tracking, preventive medicine, and community-based research conducted by citizen scientists could be a huge new industry. The coming era of very large data sets and continuously collected information with algorithmic tools for signal-to-noise interpretation could significantly shift how the baseline measures of health are defined and managed. Citizen science is re-innovating the model for conducting science at every level.
In the traditional research model (Figure 1), there is a principal investigator at an institution, conducting research on subjects, under the purview of an Institutional Review Board, supported by grant funding and publishing results in journals.
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The citizen science model (Figure 2) is different as there is no distinction between investigator and subject, everyone is an investigator and participant; therefore the analog to the IRB is different, perhaps there are citizen ethicists, or a list of FAQs. Funding could come from patient advocacy groups, innovative research foundations, social venture capital, and crowd-sourcing; and research results could be self-published on the web.
(source: DIYgenomics - an open platform for citizen science research)
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