Problems with the argument from fine tuning

The argument from fine tuning is supposed to establish the existence of God from the fact that the evolution of carbon-based life requires the laws of physics and the boundary conditions of the universe to be more or less as they are. We demonstrate that this argument fails. In particular, we focus on problems associated with the role probabilities play in the argument. We show that, even granting the fine tuning of the universe, it does not follow that the universe is improbable, thus no explanation of the fine tuning, theistic or otherwise, is required.

An examination of the antecedents of readiness for fine-tuning and corporate transformation changes

This study examined employee readiness for fine-tuning changes and for corporate transformation changes. It was proposed that employees would report different degrees of readiness for these two types of change and that different variables would be associated with readiness for the two types of change. Results of regression analyses indicated that trust in peers and logistics and system support displayed strong positive relationships with readiness for fine-tuning changes, while trust in senior leaders and self-efficacy displayed strong positive relationships with readiness for corporate transformation changes. The implications of this study focus on the appropriateness of traditional change management strategies in light of findings that multiple change readiness attitudes exist within an organization.

A software engineering framework for context-aware pervasive computing

There is growing interest in the use of context-awareness as a technique for developing pervasive computing applications that are flexible, adaptable, and capable of acting autonomously on behalf of users. However, context-awareness introduces various software engineering challenges, as well as privacy and usability concerns. In this paper, we present a conceptual framework and software infrastructure that together address known software engineering challenges, and enable further practical exploration of social and usability issues by facilitating the prototyping and fine-tuning of context-aware applications.