Data can be essential and useful at various stages of a pandemic and public health emergency. It can also feed intelligence and policing, being highly useful for enforcement. Finally, it can be valuable for commercial exploitation. The challenge before us now is which of these do we prioritise in specific settings.
In the context of Covid-19, our understanding is that:
in early stages of dealing with the pandemic, quick and effective contact tracing is invaluable to curb the spread, therefore knowing who people interacted with and where (interaction, proximity, and location data)
in the delay phase, tracing is not the highest priority and instead social distancing is more valued, and data can be used to monitor, develop policy, and for authorities enforce (location data becomes the priority)
generally tracking the use of public health resources is useful to allocate resources effectively, e.g. where should ventilators and masks and test be deployed (this is mostly logistics and health data held by hospitals and other health providers)
in the later phases, contact tracing may again be valuable, as can the use of enforcement mechanisms (interaction, proximity, and location data).
Data and technologies play different roles at each of these stages. But different levels of data and types of technologies too; and different legal and technical safeguards as well may apply.
PI has been tracking the developments across the world and is trying to differentiate between the various forms of health surveillance, policing, commercial exploitation (and some attempts at legitimisation), and surveillance opportunism.
If governments and industry had been more attentive to legality, security, and privacy in the run up to this crisis, everyone could have more confidence in the deployment of new measures. Unfortunately, this is not the case. It is thus difficult to separate ambition from necessary response; desirable graphing from social graphing; health surveillance from policing surveillance; health and safety from workplace surveillance.
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This satirical video is a critique of the UK government's reliance on 'technological solutionism' in the fight against Coronavirus and increasingly across public services more widely, and their willingness to then scapegoat ‘mutant algorithms’ when their hopes for technological panaceas inevitably fail.
US epidemiologists are complaining that secrecy is interfering with public health efforts to curb the coronavirus. Beginning in April, California state and county health authorities have refused requests from scientists from Stanford University and several University of California campuses for
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Companies all over the world are pitching data products, services & solutions to Coronavirus - from big tech to companies that might not be household names but PI has long challenged for their exploitative data practices. Here we set out examples and the key points for companies to consider.
Quarantining is a significant interference with rights, which is why it is only recommended to be done under the advisement of health professionals. Using tech and data to do this can be particularly problematic.
Tech companies, governments, and international agencies have all announced measures to help contain the spread of the COVID-19 virus. Unprecedented levels of surveillance, data exploitation, and misinformation are being tested across the world.