Quantum annealing has shown promise for finding solutions to difficult optimization problems, including protein folding. Recently, we used the D-Wave Advantage quantum annealer to explore the folding problem in a coarse-grained lattice model, the HP model, in which amino acids are classified into two broad groups: hydrophobic (H) and polar (P). Using a set of 22 HP sequences with up to 64 amino ac

Traditionally, CPA scholarship has either assumed away policy intermediaries completely, or depicted them as corporate mouthpieces. Meanwhile, research on policy intermediaries has portrayed actors such as think tanks, PR firms and lobbying firms as far more active and self-interested. Our study investigates this puzzle by attending to the question: ‘Whose political agenda is expressed by intermed

This article connects the previously isolated literatures on corporate citizenship and corporate political activity to explain how firms construct political influence in the public sphere. The public engagement of firms as political actors is explored empirically through a discursive analysis of a public debate between the mining industry and the Australian government over a proposed tax. The find

Digital transformations and processes of “datafication” fundamentally reshape how information is produced, circulated and given meaning. In this article, we provide a concept of “datastructuring” which seeks to capture this reshaping as both a product of and productive of social activity. To do this we focus on (1) how new forms of social action map onto and are enabled by technological changes re

The process of financialisation has been cast as a major contributor to increasing inequality of wealth and income in a number of advanced industrialised economies, but the nature of the link requires precise clarification. In this article, we argue that financialisation in Australia has advanced inequality, but in a particular way. Charting several features of ‘financialisation of the macroeconom

Om förlag och samband mellan bokens och litteraturens betingelser

This chapter highlights two contradictory trends. Successive federal governments have attempted to create a favourable regulatory environment for financial institutions, including NIFs, through a series of general (reform of the financial market regulation) and specific (tax breaks for venture capital and investment fund capital gains) regulatory initiatives. At the same time, the mix of corporate

Presentationen ger en inblick i bokutgivningens historia, och beskriver den förändring som begreppet förlag har genomgått. Relationen mellan teknik och ekonomi tas upp, och kopplas till frågor om den föreställningsvärld som omgärdar författare, böcker och litteratur.

In this article, we put into question the discourses that emerged during the global financial crisis (GFC) and that coalesced around a particular socio-economic imaginary of ‘recovery’ over the period 2009–2012. Our reading of these discourses is very much guided by the notion of the dialectic as developed by Fredric Jameson, and as such this paper can be read as an attempt to put his theoretical

Current literature describes digital nomadism as an interesting for tourism research but a relatively exclusive social phenomenon (Chevtaeva & Denizci-Guillet, 2021; Thompson, 2019). Digital nomads are self-employed people with a mobile lifestyle made possible by digital work. Based on that description, it would seem like a research field with limited societal significance. However, the call f

This thesis embarks on a journey in the advancement of urban traffic management, centering around the innovative integration of Autonomous Intersection Management (AIM) systems. The research encompasses a comprehensive exploration of various facets of AIM implementation, significantly contributing to the evolution of a more efficient and safer urban transport system.The research investigates the d

With the growing demand for efficient, safe and sustainable transportation systems, the imperative to design intelligent routing and traffic management solutions within urban settings, requiring minimal data exchange and ensuring scalability, becomes evident. This paper introduces an innovative paradigm for traffic management. By seamlessly integrating machine learning and Autonomous Intersection