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This chapter frames the analysis in the rest of the book and will be fundamental in the review of the other drafts, so comments would be most welcome (a.sanchez-graells@bristol.ac.uk). In this post, I summarise the main arguments (all sources, included for quoted materials, are available in the draft chapter).
The expansion of biometrics — and in particular, personal data about peoples’ faces — comes amid ongoing issues with the app’s technical capabilities. The National Immigration Project and the immigrant rights group Together & Free have also documented the difficulties faced by those who are unable to book an appointment through the app.
Third, the alignment provides an opportunity to improve data management. FAS and the federal government as a whole are in the midst of a management transition towards data-driven decision making. Data context is critical to data driven decision making. How old is the data? Is the data accurate?
The first clarification I was thus asked for was whether this was about ‘good friction’ (as opposed to old bad ‘red tape’ kind of friction), which of course it was (?!), and the second, what do I mean by friction.
And during the Biden administration, the departments of Energy and Transportation and the Social Security Administration all had non-career CIOs, according to data from the Plum Book , a dataset of government roles maintained by OPM. DHS, meanwhile, is presidentially appointed but not Senate-confirmed.
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