69 research outputs found

    ISEL: An e-Taxation System for Employers

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    In 2008 the State of Geneva modified its regulation on taxation at source in order to collect electronic fiscal data from employers. Indeed the latter provide data on their employees directly to the tax administration (AFC) and furthermore pay taxes to the State on behalf of their employees. They subtract the corresponding amounts from employees' income and refund that money to the fiscal administration. The taxation at source system is applied to foreigners who work in Switzerland or who receive Swiss pensions, to people who live in Geneva but work in other Cantons, as well as to performers, artists or speakers who work occasionally in Geneva. More than 12'000 companies and 117'000 employees are concerned by the scheme, and large companies provide data on several thousand employees. In the past these files provided by employers were handled semi-automatically by the AFC (at best). The new system (called ISEL for Impôt à la Source En Ligne) offers employers two electronic channels to provide data on employees: file transfer (.XSD) and internet e-form. This case study describes the ISEL project and its context, and discusses the issues raised by the introduction of this e-taxation system. On the human side, our paper takes a qualitative approach, based on interviews of various stakeholders involved in the project. They were asked questions on ISEL's functionality, usability, performance, and so on. On the technical side, the paper presents the architecting principles of the e-government approach in Geneva (Legality, Responsibility, Transparency and Symmetry) and the workflow that was implemented on top of AFC's legacy system.private public partnership; tax collection; e-services; e-government; data exchange; architecture; usability

    Design for agency vs. vulnerability by design

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    https://www.youtube.com/live/wVKIaJtc7Sw?feature=share&t=1259

    Une plateforme en pair-à-pair pour l'échange de données : L'émergence d'un commun numérique

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    The paper examines the case of a peer-to-peer platform intended to enable the exchange of private data between database operators. It argues that the case has some design features associated with commons and shows in particular how a governance structure is embedded in the technical architecture. This observation argues in favor of a specificity of digital commons

    Evaluation of a multivariate syndromic surveillance system for West Nile virus.

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    Background: Various methods are currently used for the early detection of West Nile virus (WNV) but their output is either not quantitative or does not take into account all available information. Our study aimed to test a multivariate syndromic surveillance system in order to improve early detection of WNV. Method: Weekly time series data on nervous syndromes in horses and mortality in both horses and wild birds were used. Baselines were fitted to the three time series and used to simulate 100 years of surveillance data. WNV outbreaks were simulated and inserted into the baselines based on historical data and expert opinion. Univariate and multivariate syndromic surveillance systems were tested in order to gauge how well they detected the outbreaks; detection was based on an empirical Bayesian approach. The systems’ performances were compared using measures of sensitivity, specificity, and area-under-ROC-curve (AUC). Result: When data sources were considered separately (i.e. univariate systems), the best detection performance was obtained using the dataset of nervous symptoms in horses compared to those of bird and horse mortality (AUCs respectively equal to 0.80, 0.75, and 0.50). A multivariate outbreak detection system that used nervous symptoms in horses and bird mortality generated the best performance (AUC = 0.87). Conclusion: The proposed approach is suitable for performing multivariate syndromic surveillance of WNV outbreaks. This is particularly relevant given that a multivariate surveillance system performed better than a univariate approach. Such a surveillance system could be especially useful in serving as an alert for the possibility of human viral infections. This approach can be also used for other diseases for which multiple sources of evidence are available
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