doi: 10.53962/t5xp-wh
Created on 2022-11-03.
Last updated on 2022-11-03.
Tim Davies
Jeni Tennison
Papers making the case for collective or participatory data governance, as collected by the Connected by Data team.
Surfacing Collective Harms in Privacy Sensitive Data
doi: 10.1109/jcdl52503.2021.00032
Using the contextual integrity framework to address how research infrastructure providers can better help social scientists to manage collective harms of data use.
Data solidarity: a blueprint for governing health futures
doi: 10.1016/s2589-7500(22)00189-3
Diagnosing limits of individual-centric regulatory frameworks, & proposing a new model of 'data solidarity' that involves action to facilitate public good data use, new mechanisms/institutions to mitigate harms, & changes to taxation to redistribute excess profits from data use.
The myth of individual control: Mapping the limitations of privacy self-management
A diagnosis of the problems of individual control based privacy projection and setting out "potential ways forward, stressing the need for government intervention to regulate the social impact of personal data processing."
Personal data for decisional purposes in the age of analytics: From an individual to a collective dimension of data protection
doi: 10.1016/j.clsr.2016.01.014
Analytical paper exploring the case for collective dimension in data governance, building on group privacy ideas.
Collective Data Harms at the Crossroads of Data Protection and Competition Law: Moving Beyond Individual Empowerment
Short summary of Data Justice Lab project that finds "citizen assemblies, citizen juries and similar initiatives can be a useful tool in larger strategies for democratizing the datafied state but have several limitations."
TOWARDS CIVIC PARTICIPATION IN THE DATAFIED SOCIETY: CAN CITIZEN ASSEMBLIES DEMOCRATIZE ALGORITHMIC GOVERNANCE?
doi: 10.5210/spir.v2021i0.11943
Short summary of Data Justice Lab project that finds "citizen assemblies, citizen juries and similar initiatives can be a useful tool in larger strategies for democratizing the datafied state but have several limitations."
Beyond the individual: governing AI’s societal harm
Using parallels to environmental law to make recommendations for AI regulation that foregrounds collective impact assessment and public participation.