Computerizing the welfare state: An international comparison of computerization in social security

Although computer technology is central to the operation of the modern welfare state, there has been little analysis of its role or of the factors shaping the way in which it is used. Using data generated by expert informants from 13 OECD countries, this paper provides an indicative comparison of the aims of computerization in national social security systems over a 15-year period from 1985 to 2000. The paper seeks to identify and explain patterns in the data and outlines and examines four hypotheses. Building on social constructivist accounts of technology, the first three hypotheses attribute variations in the aims of computerization to different welfare state regimes, forms of capitalism, and structures of public administration. The fourth hypothesis, which plays down the importance of social factors, assumes that computerization is adopted as a means of improving operational efficiency and generating expenditure savings. The findings suggest that, in all 13 countries, computerization was adopted in the expectation that it would lead to increased productivity and higher standards of performance, thus providing most support for the fourth hypothesis. However, variations between countries suggest that the sociopolitical values associated with different welfare state regimes have also had some effect in shaping the ways in which computer technology has been used in national social security systems.

Methodological Considerations in the Study of Genetic Discrimination

The potential significance and dimensions of genetic discrimination have been described extensively in published literature, but epidemiological and verified case data are limited. Obtaining unbiased data from individuals about discrimination which has been based on erroneous or unjustifiable assumptions about their genetic predispositions poses unique challenges. Through review and discussion of research literature, we identify methodological considerations for collecting valid epidemiological data on genetic discrimination from individuals in the community; in particular, we consider issues which relate to sampling, selection and response. We identify issues to promote sound study design, with particular attention to verification of genetic discrimination, and highlight the importance of clinical and genetic knowledge of complex genotype-phenotype relationships.

E-Government, targeting and data profiling: Policy and ethical issues of differential treatment

Networked information and communication technologies are rapidly advancing the capacities of governments to target and separately manage specific sub-populations, groups and individuals. Targeting uses data profiling to calculate the differential probabilities of outcomes associated with various personal characteristics. This knowledge is used to classify and sort people for differentiated levels of treatment. Targeting is often used to efficiently and effectively target government resources to the most disadvantaged. Although having many benefits, targeting raises several policy and ethical issues. This paper discusses these issues and the policy responses governments may take to maximise the benefits of targeting while ameliorating the negative aspects.

Investigating genetic discrimination in Australia: Opportunities and challenges in the early stages

Genetic discrimination, defined as the differential treatment of individuals or their relatives on the basis of actual or presumed genetic differences, is an emerging issue of interest in academic, clinical, social and legal contexts. While its potential significance has been discussed widely, verified empirical data are scarce. Genetic discrimination is a complex phenomenon to describe and investigate, as evidenced by the recent Australian Law Reform Commission inquiry in Australia. The authors research project, which commenced in 2002, aims to document the multiple perspectives and experiences regarding genetic discrimination in Australia and inform future policy development and law reform. Data are being collected from consumers, employers, insurers and the legal system. Attempted verification of alleged accounts of genetic discrimination will be a novel feature of the research. This paper overviews the early stages of the research, including conceptual challenges and their methodological implications.