Scientific revolutions, progess and accounting research

Thomas Kuhn’s concept of a normal science paradigm has been utilised and criticised across a range of social science fields. However, Kuhn’s aim was to argue that science progresses not in an incremental manner but through a series of paradigms that need a revolution in thought to shift from one to the next. This paper addresses Kuhn’s work focusing on the totality of his model, but recognising the ambiguities concerning paradigm shifts that have led to charges of relativism. To address this weakness an argument is advanced for a political economy analysis of the publication process and the development of critical accounting research centred on human emancipation. The paper concludes with some suggested research agendas particularly relevant to the Irish context.

Prediction-Based Power-Performance Adaptation of Multithreaded Scientific Codes

Computing has recently reached an inflection point with the introduction of multicore processors. On-chip thread-level parallelism is doubling approximately every other year. Concurrency lends itself naturally to allowing a program to trade performance for power savings by regulating the number of active cores; however, in several domains, users are unwilling to sacrifice performance to save power. We present a prediction model for identifying energy-efficient operating points of concurrency in well-tuned multithreaded scientific applications and a runtime system that uses live program analysis to optimize applications dynamically. We describe a dynamic phase-aware performance prediction model that combines multivariate regression techniques with runtime analysis of data collected from hardware event counters to locate optimal operating points of concurrency. Using our model, we develop a prediction-driven phase-aware runtime optimization scheme that throttles concurrency so that power consumption can be reduced and performance can be set at the knee of the scalability curve of each program phase. The use of prediction reduces the overhead of searching the optimization space while achieving near-optimal performance and power savings. A thorough evaluation of our approach shows a reduction in power consumption of 10.8 percent, simultaneous with an improvement in performance of 17.9 percent, resulting in energy savings of 26.7 percent.

Contingent Participation: Imaginaries of Sustainable Technoscientific Innovation in the EU

Citizen participation is often valorised in the governance of areas of high scientific uncertainty at national, international and supranational levels. This chapter considers citizen or public participation in the specific area of the EU’s agenda on sustainable development as it increasingly frames technoscientific innovation and development. Specifically, the chapter focuses on just one underexplored aspect of the conditions of possibility for participation: imaginaries. These include how the EU imagines its engagement, responsibilities and identity in relation to the specific area, including the knowledges that are constructed and used in decision-making, and by implication the role of citizen or public participation.

The discussion draws on an analysis of the social and technoscientific imaginaries found in legal, regulatory and policy discourses. These construct the frame of sustainable development and build a link between it and technoscientific innovation and development. By attention to imaginaries as one aspect of the frame, the chapter highlights the centrality of, and main interactions between, sustainable development in the inscription and potential disruption of the normative and programmatic background for the operationalisation of technoscientific innovation. These insights are used to highlight how imaginaries constitute a crucial aspect of the conditions of possibility for participation: determining who has to participate in decision-making through configurations of ‘citizen’ or ‘public’, how, why, and which outcomes are to be achieved by that participation.