Old-age retirement benefits are a major concern among the Swiss population but estimating one’s revenue after retirement is challenging due to the Swiss social system’s complexity. In Switzerland, as with many other countries, the risk of poverty for retiree people is high, especially for women who often work part-time. The research presented in this paper proposes a methodology to enable the development of a digital platform to provide Swiss citizens the means to verify that their retirement income will allow them to live decently when retired. The aim of the platform will be to allow insured people to plan for retirement in a simplified manner. The methodology used was both qualitative (focus group) and quantitative (surveys). The main results are recommendations for the scope and functionality for a digital platform to be developed. A main conclusion is the need to limit the platform’s scope to old-age pension only (e.g., excluding survivors’ or disability pensions). Moreover, an outcome regarding the functionalities is the proposition of scenarios such as postponed retirement, additional purchases in pension fund, or changes to individual status. The development of the platform is not included in the article.
Old age retirement pensions are an important concern among the Swiss but estimating one’s income after retirement is difficult due to the Swiss insurance system’s complexity. This project’s aim is to prepare for developing a digital platform that will allow individuals to plan for retirement in a simplified manner. The main objective of the platform will be togive individuals the tools to check that their savings and retirement benefits will allow them to continue the lifestyle to which they are accustomed once they are retired. The research results from qualitative (focus group) and quantitative (survey) methodologies, recommend the scope and functionalities for a digital platform to be developed. A main outcome is the need to limit the platform’s scope to old-age pension only (excluding survivors’ or disability pensions, for instance). Furthermore, an outcome regarding the functionalities is the proposition of scenarios such as early retirement, changes to income, or modifications to personal status. The development of the digital platform will be a subsequent project.
This paper presents a solution to dismiss a digital evidence from a permissioned blockchain-based legal system, serving as evidence chain of custody. When challenged into court, a digital evidence can be entirely dismissed, as well as all the procedural acts originating from this evidence, including personal gathered data. Since a blockchain, by design, cannot be altered, this paper proposes an alternative solution based on an access control to the blockchain. This solution relies on an additional structure, linked to the blockchain, representing the history and current legal state of the case. Access to the blockchain is controlled by first interrogating this additional structure in order to serve only legally accepted evidence. Therefore, an evidence stored into the blockchain is not destroyed, but is no longer visible nor accessible. Furthermore, evidence data is separated from the blockchain transaction’s payload, that holds only metadata, and this separation reinforces privacy protection. The solution presented in this paper is explainable to all parties to a court trial.
This paper presents a case of alleged PLC (Programmable Logic controller) hacking aboard a commercial ship, and the forensic investigation of PLC components. It presents the lessons drawn from this case and the particular difficulty of investigating PLC and SCADA systems onboard. Whereas hacking is often seen as taking control of a ship, or part of a ship, it is also related to the alteration of the sensors, the PLCs, the data logger or the SCADA systems. This alteration can be done from a hacking group but in the investigated case, it is more likely an action triggered either by the ship owner, or the ship manufacturer himself. This paper also advocates for an addition of a section concerning cybersecurity in the SOLAS - Safety Of Life At Sea - convention or one of other IMO (International Maritime Organization) conventions.
Service design optimizers benefited greatly from the development of conjoint analysis, which appeared more than forty years ago. Conjoint analysis is a powerful and popular method to estimate consumers’ preferences. As this method is based on a survey, the estimated utility functions can be subject to inaccuracies. In this paper, we propose a service design optimizer that combines robust programming and conjoint analysis. This permits one to identify the optimal service, even when the utility functions are subject to uncertainties.
Developing research in different fields is defendable as well as necessary for the development of disciplines and knowledge construction in general. The progress of qualitative and quantitative approaches is based on hard competitiveness and high level of innovation. This increases the need of a rigorous management of research process which should be more and more accurate and traceable to ensure a good data management approach. Considering this context, European Council stipulates a directive to require a good research data management in order to reinforce the ability of researchers to conduct properly their research activities (European Commission, 2016). For example the H2020 projects requires a Data Management Plan (DMP) since January 2017. In Switzerland, this tendency was clearly confirmed. Swiss researchers have been submitting their proposals to funding agencies without any requirement for research data management so far. However, the Swiss National Science Foundation will require a DMP since October 2017. Researchers are not prepared. They don’t know how it impacts their work and are looking for solutions to comply with these new requirements. This paper draws a general portrait of a recent Swiss project on this subject: data life cycle management applied on research data: DLCM. It presents, first, an over view of the main objectives and major dimensions of DLCM project and second, it will focus on one those latest which is dealing with training, consulting and teaching in the field of research data management.
By providing underserved, low-income populations with protection against risks to their livelihoods and health, microinsurance helps poorer segments of society increase their resilience to adverse events. Despite significant development in many emerging markets in recent years, however, large protection gaps remain, many of which have been and will continue to be exacerbated by COVID-19, says Geneva School of Business Administration’s Professor Christophe Courbage.
En développant des collections numériques les bibliothèques n’ont pas seulement changé de support, elles ont largement changé de modèle. Dans ce nouvel environnement, comment évoluent les compétences des bibliothécaires ?