Costly Expertise

In many environments, expertise is costly. Costs can manifest themselves in numerous ways, ranging from the time that is required for a financial consultant to study companies’ performances, to the resources necessary for academic referees to produce knowledgeable reports, to the attention and thought needed for jurors to construct informed convictions. The current paper asks a natural question germane to such contexts: how should a committee of potential experts be designed, in terms of the number of participants, their a priori preferences, as well as the rules by which their recommendations are aggregated into a collective policy? We consider a model in which a principal makes a binary decision (e.g., continue or abort a project), the value of which depends on the realization of some underlying state that is unknown (say, whether the project is great or inferior). The principal can hire a committee of experts from a pool varying in their preferences. All experts have access to an information technology providing (public) information regarding the underlying state. Information comes at a private cost to the experts, who care both about the final decision the principal takes, and about the amount they had personally spent on information acquisition

Science democratised = expertise decommissioned

Science and expertise have been antithetical forms of knowledge in both the ancient and the modern world, but they appear identical in today’s postmodern world, especially in Science & Technology Studies (STS) literature. The ancient Athenians associated science (epistemé) with the contemplative life afforded to those who lived from inherited wealth. Expertise (techné) was for those lacking property, and hence citizenship. Such people were regularly forced to justify their usefulness to Athenian society. Some foreign merchants, collectively demonised in Plato’s Dialogues as ‘sophists’, appeared so insulting to citizen Socrates, because they dared to alienate aspects of this leisured existence (e.g. the capacity for articulate reasoning) and repackage them as techniques that might be purchased on demand from an expert – that is, a sophist. In effect, the sophists cleverly tried to universalise their own alien status, taking full advantage of the strong analogy that Athenians saw between the governance of the self and the polis. Unfortunately, Plato, the original spin doctor, immortalised Socrates’ laboured and hyperbolic rearguard response to these sly and partially successful attempts at dislodging hereditary privilege..

Broad expertise retrieval in sparse data environments

Expertise retrieval has been largely unexplored on data other than the W3C collection. At the same time, many intranets of universities and other knowledge-intensive organisations offer examples of relatively small but clean multilingual expertise data, covering broad ranges of expertise areas. We first present two main expertise retrieval tasks, along with a set of baseline approaches based on generative language modeling, aimed at finding expertise relations between topics and people. For our experimental evaluation, we introduce (and release) a new test set based on a crawl of a university site. Using this test set, we conduct two series of experiments. The first is aimed at determining the effectiveness of baseline expertise retrieval methods applied to the new test set. The second is aimed at assessing refined models that exploit characteristic features of the new test set, such as the organizational structure of the university, and the hierarchical structure of the topics in the test set. Expertise retrieval models are shown to be robust with respect to environments smaller than the W3C collection, and current techniques appear to be generalizable to other settings

Perceptions and predictions of expertise in advanced musical learners

The aim of this article was to compare musicians' views on (a) the importance of musical skills and (b) the nature of expertise. Data were obtained from a specially devised web-based questionnaire completed by advanced musicians representing four musical genres (classical, popular, jazz, Scottish traditional) and varying degrees of professional musical experience (tertiary education music students, portfolio career musicians). Comparisons were made across musical genres (classical vs. other-than-classical), gender, age and professional status (student musicians vs. portfolio career musicians). Musicians' 'ideal' versus 'perceived' levels of musical skills and expertise were also compared and factors predicting musicians' self-reported level of skills and expertise were investigated. Findings suggest that the perception of expertise in advanced musical learners is a complex phenomenon that relates to each of four key variables (gender, age, musical genre and professional experience). The study also shows that discrepancies between advanced musicians' ideal and self-assessed levels of musical skills and expertise are closely related to gender and professional experience. Finally, characteristics that predict and account for variability in musicians' views and attitudes regarding musical expertise and self-assessments of personal expertise levels are highlighted. Results are viewed in the context of music learning and implications for music education are discussed

The right expert at the right time and place: From expertise identification to expertise selection

We propose a unified and complete solution for expert finding in organizations, including not only expertise identification, but also expertise selection functionality. The latter two include the use of implicit and explicit preferences of users on meeting each other, as well as localization and planning as important auxiliary processes. We also propose a solution for privacy protection, which is urgently required in view of the huge amount of privacy sensitive data involved. Various parts are elaborated elsewhere, and we look forward to a realization and usage of the proposed system as a whole

Eliciting Expertise

Since the last edition of this book there have been rapid developments in the use and exploitation of formally elicited knowledge. Previously, (Shadbolt and Burton, 1995) the emphasis was on eliciting knowledge for the purpose of building expert or knowledge-based systems. These systems are computer programs intended to solve real-world problems, achieving the same level of accuracy as human experts. Knowledge engineering is the discipline that has evolved to support the whole process of specifying, developing and deploying knowledge-based systems (Schreiber et al., 2000) This chapter will discuss the problem of knowledge elicitation for knowledge intensive systems in general

The instabilities of expertise: remaking knowledge, power and politics in unsettled times

In this article, we explore the implications of contemporary populist challenges to established forms of expertise in the UK, USA and elsewhere. Drawing on a Foucauldian conception of knowledge and power as always articulated, we argue for a conjunctural approach to understanding the ways in which formations of expertise become stabilized and de-stabilized, vulnerable to challenge and contestation. We trace the role of economic expertise in defining the limits of political and policy “realism” before and after the crash of 2007–8. We then consider the rise of nationalist-populist political mobilizations which challenged existing “expertise” in the name of popular wisdom. In the context of de-stabilized forms of expertise, we ask about emergent attempts at reconfiguring knowledge, power and politics in different ways