Nick Allum

Science in Society: Re-Evaluating the Deficit Model of Public Attitudes

The “deficit model” of public attitudes towards science has led to controversy over the role of scientific knowledge in explaining lay people’s attitudes towards science. In this paper we challenge the de facto orthodoxy that has connected the deficit model and contextualist perspectives with quantitative and qualitative research methods respectively. We simultaneously test hypotheses from both theoretical approaches using quantitative methodology. The results point to the clear importance of knowledge as a determinant of attitudes toward science. However, in contrast to the rather simplistic deficit model that has traditionally characterized discussions of this relationship, this analysis highlights the complex and interacting nature of the knowledge— attitude interface.

What can we learn from 25 years of PUS survey research? Liberating and expanding the agenda

This paper reviews key issues of public understanding of science (PUS) research over the last quarter of a century. We show how the discussion has moved in relation to large-scale surveys of public perceptions by tracing developments through three paradigms: science literacy, public understanding of science and science and society. Naming matters here like elsewhere as a marker of “tribal identity.” Each paradigm frames the problem differently, poses characteristic questions, offers preferred solutions, and displays a rhetoric of “progress” over the previous one. We argue that the polemic over the “deficit concept” voiced a valid critique of a common sense concept among experts, but confused the issue with methodological protocol. PUS research has been hampered by this “essentialist” association between the survey research protocol and the public deficit model. We argue that this fallacious link should be severed to liberate and to expand the research agenda in four directions: contextualizing survey research, searching for cultural indicators, integrating datasets and doing longitudinal analysis, and including other data streams. Under different presumptions, assumed and granted, we anticipate a fertile period for survey research on public understanding of science.

Biotechnology and the European public

The latest European sample survey of public perceptions of biotechnology reveals widespread opposition to genetically modified (GM) food in much of Europe, but public attitudes to medical and environmental applications remain positive.

Science knowledge and attitudes across cultures: a meta-analysis

The correlation between knowledge and attitudes has been the source of controversy in research on the public understanding of science (PUS). Although many studies, both quantitative and qualitative, have examined this issue, the results are at best diverse and at worst contradictory. In this paper, we review the evidence on the relationship between public attitudes and public knowledge about science across 40 countries using a meta-analytic approach. We fit multilevel models to data from 193 nationally representative surveys on PUS carried out since 1989. We find a small positive correlation between general attitudes towards science and general knowledge of scientific facts, after controlling for a range of possible confounding variables. This general relationship varies little across cultures but more substantially between different domains of science and technology. Our results suggest that PUS research needs to focus on understanding the mechanisms that underlie the clear association that exists between knowledge and attitudes about science.

Does Ethnic Diversity Erode Trust? Putnam’s ‘Hunkering Down’ Thesis Reconsidered

We use a multi-level modelling approach to estimate the effect of ethnic diversity on measures of generalized and strategic trust using data from a new survey in Britain with a sample size approaching 25,000 individuals. In addition to the ethnic diversity of neighbourhoods, we incorporate a range of indicators of the socio-economic characteristics of individuals and the areas in which they live. Our results show no effect of ethnic diversity on generalized trust. There is a statistically significant association between diversity and a measure of strategic trust, but in substantive terms, the effect is trivial and dwarfed by the effects of economic deprivation and the social connectedness of individuals.

The 2010 Eurobarometer on the life sciences

Since 1991, the triennial Eurobarometer survey has assessed public attitudes about biotech and the life sciences in Europe. The latest 2010 Eurobarometer survey on the Life Sciences and Biotechnology (http://ec.europa.eu/research/science-society/document_library/pdf_06/europeans-biotechnology-in-2010_en.pdf), based on representative samples from 32 European countries, hints at a new era in the relations between science and society. We see less criticism of technology based on distrust in government and industry; more enthusiasm for novel technologies; and a more sophisticated appraisal of what technologies offer in terms of benefits, safety and sustainability. Europeans want regulation in the public interest and want a voice in such regulation when social values are at stake; we highlight an emerging European landscape of social value differences that shape peoples views of technologies.

Europeans and Biotechnology in 2010: Winds of change?

George Gaskell and colleagues designed, analysed and interpreted the Eurobarometer 73.1 on the Life Sciences and Biotechnology as part of the research project Sensitive Technologies and European Public Ethics (STEPE), funded by the Science in Society Programme of the EC’s Seventh Framework Programme for Research and Technological Development (FP7).

Religious beliefs, knowledge about science and attitudes towards medical genetics

The use of genetics in medical research is one of the most important avenues currently being explored to enhance human health. For some, the idea that we can intervene in the mechanisms of human existence at such a fundamental level can be at minimum worrying and at most repugnant. In particular, religious doctrines are likely to collide with the rapidly advancing capability for science to make such interventions. The key ingredient for acceptance of genetics, on the other hand, is prototypically assumed to be scientific literacy – familiarity and understanding of the critical facts and methods of science. However, this binary opposition between science and religion runs counter to what is often found in practice. In this paper, we examine the association between religiosity, science knowledge and attitudes to medical genetics amongst the British public. In particular, we test the hypothesis that religion acts as a ‘perceptual filter’ through which citizens acquire and use scientific knowledge in the formation of attitudes towards medical genetics in various ways.

Gender differences in scientific knowledge and attitudes toward science: Reply to Hayes and Tariq

In a recent article in this journal Hayes and Tariq (hereafter H&T) contend that their analysis of the 1993 International Social Survey Programme (ISSP) on environmental issues casts doubt on the “populist” idea that gender differences in favorable attitudes toward science can be accounted for by the different levels of scientific knowledge between men and women. While acknowledging the importance of their work in delineating the social and economic determinants of gender differences in attitudes toward science, we take issue with the interpretation they draw from their data. We argue firstly that their analysis errs in failing to recognize the importance of the order in which variables are entered into regression models and, as a consequence, draws theoretical inferences that are unwarranted by the evidence they present. Secondly, we argue that, rather than demonstrating that scientific knowledge is unimportant in explaining gender differences in attitudes toward science, their models in fact support the robustness of the positive relationship between knowledge and attitude even when controlling for a range of important mediating variables.

Exploring public discourses about emerging technologies through statistical clustering of open-ended survey questions

The primary method by which social scientists describe public opinion about science and technology is to present frequencies from fixed response survey questions and to use multivariate statistical models to predict where different groups stand with regard to perceptions of risk and benefit. Such an approach requires measures of individual preference which can be aligned numerically in an ordinal or, preferably, a continuous manner along an underlying evaluative dimension – generally the standard 5- or 7-point attitude question. The key concern motivating the present paper is that, due to the low salience and “difficult” nature of science for members of the general public, it may not be sensible to require respondents to choose from amongst a small and predefined set of evaluative response categories. Here, we pursue a different methodological approach: the analysis of textual responses to “open-ended” questions, in which respondents are asked to state, in their own words, what they understand by the term “DNA.” To this textual data we apply the statistical clustering procedures encoded in the Alceste software package to detect and classify underlying discourse and narrative structures. We then examine the extent to which the classifications, thus derived, can aid our understanding of how the public develop and use “everyday” images of, and talk about, biomedicine to structure their evaluations of emerging technologies.