Benefits claimants

In this review of Virginia Eubanks's book Automating Inequality, the author of the review looks at the three main case studies Eubanks explores in her book: the attempt to automate and privatise the welfare system elligibility management in the state of Indiana in 2006, the use of a coordinated

In this 2013 piece, Virginia Eubanks discuss the move in Indiana from relying on caseworkers to automating the distribution of benefits and how through the use of performance metrics to speed up the decision-making process, the system ended up being incentivising the non-distribution of benefits

In this interview (podcast and transcript) Virginia Eubanks discuss three case studies from her book Automating Inequality to illustrate how technology and data collection negatively impact people in vulnerable situation. The (failed) attempt to automate and privatise the welfare system elligibility

In the United States, monitoring efforts to combat public benefits fraud are often part of a broader approach that focuses on stigmatizing people receiving benefits and reducing their number, rather than ensuring that the maximum number of people who are eligible receive benefits. However, fraud

In the United States, while everyone is surveilled not every is equal when it comes to surveillance. Factors including poverty, race, religion, ethnicity, and immigration status will affect how much you end up being surveilled. T his reality has a punitive effect on poor people and their families

The vast majority of public benefits programs in the United States—Supplemental Security Income, Temporary Assistance for Needy Families, Medicaid, Children’s Health Insurance Program, Supplemental Nutrition Assistance Programs, the Earned Income Tax Credit, and Housing Assistance—do not take the

The first conditional cash transfer program in a higher-income country was trialled in the United States by Mayor Bloomberg in New York City from April 2007 to August 2010. Known as Opportunity NYC-Family Rewards, the privately funded pilot program transferred cash rewards to families who were able

Virginia Eubanks explains what we can draw from understanding the experience of surveillance of marginalised groups: it is a civil rights issue, technologies carry the bias of those who design them, people are resisting and why we need to move away from the privacy rights discourse. https://prospect

In this interview with Virginia Eubanks, the author highlights how electronic benefit transfer cards have become tracking devices and how data exploitation used to restrict access to welfare. https://www.vox.com/2018/2/6/16874782/welfare-big-data-technology-poverty Author: Sean Illing Publication

This article is an overview of some of the research documenting how people in vulnerable positions are the ones most affected by government surveillance. https://stateofopportunity.michiganradio.org/post/technology-opportunity-researcher-says-surveillance-separate-and-unequal Author: Kimberly

For US citizens who can access benefits, many states use electronic benefit transfer (EBT) cards, which function like debit cards, to distribute benefits. As of 2015, at least 37 states issued Temporary Assistance to Needy Families benefits, also known as welfare, through EBT cards. http://www.ncsl

In May 2014 the Polish Ministry of Labor and Social Policy (MLSP) introduced a scoring system to distribute unemployment assistance. Citizens are divided into three categories by their “readiness” to work, the place they live, disabilities and other data. Assignment to a given category determines

In 2016, researchers discovered that the personalisation built into online advertising platforms such as Facebook is making it easy to invisibly bypass anti-discrimination laws regarding housing and employment. Under the US Fair Housing Act, it would be illegal for ads to explicitly state a