Abstract. This paper introduces Proof General Kit, a framework for software components tailored to interactive proof development. The goal of the framework is to enable flexible environments for managing formal proofs across their life-cycle: creation, maintenance and exploitation. The framework connects together different kinds of component, exchanging messages using a common communication infrastructure and protocol called PGIP. The main channel connects provers to displays. Provers are the back-end interactive proof engines and displays are components for interacting with the user, allowing browsing or editing of proofs. At the core of the framework is a broker middleware component which manages proof-in-progress and mediates between components.
Abstract. This paper presents the Dr.Doodle system, an interactive theorem prover that uses diagrammatic representations. The assumption underlying this project is that, for some domains (principally geometry), diagrammatic reasoning is easier to understand than conventional algebraic approaches -at least for a significant number of people. The Dr.Doodle system was developed for the domain of metric-space analysis (a geometric domain, but traditionally taught using a dry algebraic formalism). Pilot experiments were conducted to evaluate its potential as the basis of an educational tool, with encouraging results.
The growth of social media presents an unparalleled opportunity for the study of social change. However, the speed and scale of this growth presents challenges for social scientists, particularly those whose methodologies tend to rely on the qualitative analysis of data that are gathered first-hand. Alongside the growth of social media, companies have emerged which have developed tools for interrogating 'big data', although often unconnected from social scientists. It is self-evident that collaboration between social scientists and social media analysis companies offers the potential for developing methods for analysing social change on large scales, bringing together their respective expertise in technological innovations and knowledge of social science. What is less well-known is how such a partnership might work in practice. This article presents an example of such a collaboration, highlighting the opportunities and challenges that arose in the context of an exploration of feminism on Twitter. As will be shown, machine-learning technologies allow the analysis of data on a scale that would be impossible for human analysts, yet such approaches also heighten challenges regarding the study of social change and communication.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.