Automatic vs Manual Provenance Abstractions: Mind the Gap

In recent years the need to simplify or to hide sensitive information in provenance has given way to research on provenance abstraction. In the context of scientific workflows, existing research provides techniques to semi automatically create abstractions of a given workflow description, which is in turn used as filters over the workflow's provenance traces. An alternative approach that is commonly adopted by scientists is to build workflows with abstractions embedded into the workflow's design, such as using sub-workflows. This paper reports on the comparison of manual versus semi-automated approaches in a context where result abstractions are used to filter report-worthy results of computational scientific analyses. Specifically; we take a real-world workflow containing user-created design abstractions and compare these with abstractions created by ZOOM UserViews and Workflow Summaries systems. Our comparison shows that semi-automatic and manual approaches largely overlap from a process perspective, meanwhile, there is a dramatic mismatch in terms of data artefacts retained in an abstracted account of derivation. We discuss reasons and suggest future research directions.Comment: Preprint accepted to the 2016 workshop on the Theory and Applications of Provenance, TAPP 201

The Economics of Uncovered Interest Parity Condition for Emerging Markets: A Survey

Financial account liberalizations since the second half of the 1980s paved way for the burgeoning literature that investigates foreign exchange market efficiency in emerging markets via testing for the uncovered interest parity (UIP) condition. This paper provides a broad and critical survey on this recent literature as well as a general understanding on the topic through reviewing the related literature on developed economies where recent methodological advances in time series econometrics have provided favorable results, questioning the previously documented UIP puzzle. The literature on emerging markets suggests that these countries deserve a special treatment by taking into account the existence of additional types of risk premia, high inflation episodes, financial contagion, peso problem, simultaneity problem, asymmetricity, and the determination of de facto structural breaks.Uncovered Interest Parity; Forward Premium Bias; Emerging Markets

Understanding Semantic Aware Grid Middleware for e-Science

In this paper we analyze several semantic-aware Grid middleware services used in e-Science applications. We describe them according to a common analysis framework, so as to find their commonalities and their distinguishing features. As a result of this analysis we categorize these services into three groups: information services, data access services and decision support services. We make comparisons and provide additional conclusions that are useful to understand better how these services have been developed and deployed, and how similar services would be developed in the future, mainly in the context of e-Science applications

The welfare effects of government's preferences over spending and its financing

In this paper we examine the welfare effects of government's preferences over consumption and investment spending under different methods of financing in a two-period OLG model. The government has a utility function defined over the decomposition of her spending over two periods and raises funds by issuing bonds and by printing money. She allocates her funds into consumption expenditure that benefits the current population and investment expenditure which benefits the future population. The model is calibrated using data on the U.S. economy for the period 1981-2004. The findings reveal that the government's choice of financing as well as composition of spending into consumption-investment have differing impacts on the welfare of the young and old generations.Seigniorage; Bond financing; Composition of government spending; Overlapping generations

Tracking workflow execution with TavernaProv

Apache Taverna is a scientific workflow system for combining web services and local tools. Taverna records provenance of workflow runs, intermediate values and user interactions, both as an aid for debugging while designing the workflow, but also as a record for later reproducibility and comparison. Taverna also records provenance of the evolution of the workflow definition (including a chain of wasDerivedFrom relations), attributions and annotations; for brevity we here focus on how Taverna's workflow run provenance extends PROV and is embedded with Research Objects.Document id: https://github.com/stain/2016-provweek-tavernaprov