Policy analytics involves the combination of new data sources – e.g., from mobile smartphones, Internet of Everything (IoE) devices, and electronic payment cards – with new data analytics techniques for informing and directing public policy.
While CPI is exploring the possibilities for policy analytics, we are also concerned that those who do not use or own these devices may be rendered digitally invisible if digital signals from their daily actions are not generated or captured. Failing to observe the lived experience of those outside the "big data" world may result in policy analytics being biased, and policy interventions being misdirected as a result.
In early 2015, CPI faculty, post-docs and students set out to determine whether the concept of the digitally invisible could be shown empirically. We conducted an exploratory study with the participation of homeless individuals in Phoenix and the Phoenix Rescue Mission, in the context of extreme heat exposure.
The results of that work have been accepted for publication in a forthcoming special issue of the journal Policy & Internet, which will be published in early 2017.
To obtain a copy of a pre-publication version of this paper, please send an email to the lead author Justin Longo.