In this article, we describe the emergence of a new Finance course in line with the concept of the Societal Cost-Benefit Analysis (SCBA). By means of an in-depth case study, we reconstruct the process of dissatisfaction and corresponding discussions among lecturers and students of the Master Integrated Care Design with regard to the learning aims and content of the Finance course, which is a study module of this master. During the period 2015-2021, the aims and content of this module were revised and remoulded several times in order to define a Finance course that was able to both sufficiently and creatively connect the domain of Integrated Care with that of Finance. In this process of reiterating revision both lectures and students played a crucial role. The ultimate result – the indicative Societal Cost-Benefit Analysis – was unexpected and unplanned, producing an outcome that surpassed the sum of its separate parts. In short, the process, as we describe in this case study, bears all the hallmarks of emergence. Moreover, the analysis shows how this process of emergence in combination with emergent leadership led to a practicable and encouraging outcome, which satisfied and committed all stakeholders, setting an example that is worth following.
Consolidation is the key concept for gaining efficiencies logistics chains and the development of new city distribution centres is a potential way of establishing consolidation. In this paper we investigate how Cost Benefit Analysis (CBA) can play a major role to be supportive in the pre-feasibility of these studies. In order to understand the supportive value of this methodology we have analyzed the effects of a new main road for public transport connecting several small cities combined with a new solution for freight problems in these towns. The new solution encompasses the development of a new public warehouse. This paper contains a detailed explanation of the methodology and we present some conclusions about the pre-feasibility of the new distribution centre and the supportive role of the methodology in terms of stakeholder participation. © 2008 Nova Science Publishers, Inc. All rights reserved.
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Health and social well-being depend on many contextual facets which are interdependent in a complex way and are all but limited to the field of cure and care. Publications of the World Health Organization and the Dutch Ministry of Health show that good health also depends on socioeconomic aspects such as stable living conditions and (pre-emptive) debt counselling. Inspired by these findings, many programs have been launched that aim for an integrated approach of health and social issues. Although these programs enjoy a lot of sympathy, the implementation proves to be difficult. Among many obstacles, more than once the financing of the program is a stumbling block. The hesitation to invest is prompted by the uncertainties of the benefits these programs aim at. These uncertainties relate to both size and distribution. The intended results are mostly long term and not always easy to monetize. Moreover, the benefits may distribute among other stakeholders than those who bore the costs of the program, the so-called ‘wrong pocket problem’. To overcome the hesitation to invest, a social cost-benefit analysis offers a remedy. Social Cost-Benefit Analysis (SCBA): A SCBA assesses the impact of an investment on society by estimating all relevant costs and revenues – both financial and non-financial – and their (re)distributions amongst stakeholders. From this perspective, this type of analysis is an important contribution to policy development. Publications of public planning and research agencies in the Netherlands underline the contribution of SCBA’s to policymaking in the field of public health and social welfare.
The project aim is to improve collusion resistance of real-world content delivery systems. The research will address the following topics: • Dynamic tracing. Improve the Laarhoven et al. dynamic tracing constructions [1,2] [A11,A19]. Modify the tally based decoder [A1,A3] to make use of dynamic side information. • Defense against multi-channel attacks. Colluders can easily spread the usage of their content access keys over multiple channels, thus making tracing more difficult. These attack scenarios have hardly been studied. Our aim is to reach the same level of understanding as in the single-channel case, i.e. to know the location of the saddlepoint and to derive good accusation scores. Preferably we want to tackle multi-channel dynamic tracing. • Watermarking layer. The watermarking layer (how to embed secret information into content) and the coding layer (what symbols to embed) are mostly treated independently. By using soft decoding techniques and exploiting the “nuts and bolts” of the embedding technique as an extra engineering degree of freedom, one should be able to improve collusion resistance. • Machine Learning. Finding a score function against unknown attacks is difficult. For non-binary decisions there exists no optimal procedure like Neyman-Pearson scoring. We want to investigate if machine learning can yield a reliable way to classify users as attacker or innocent. • Attacker cost/benefit analysis. For the various use cases (static versus dynamic, single-channel versus multi-channel) we will devise economic models and use these to determine the range of operational parameters where the attackers have a financial benefit. For the first three topics we have a fairly accurate idea how they can be achieved, based on work done in the CREST project, which was headed by the main applicant. Neural Networks (NNs) have enjoyed great success in recognizing patterns, particularly Convolutional NNs in image recognition. Recurrent NNs ("LSTM networks") are successfully applied in translation tasks. We plan to combine these two approaches, inspired by traditional score functions, to study whether they can lead to improved tracing. An often-overlooked reality is that large-scale piracy runs as a for-profit business. Thus countermeasures need not be perfect, as long as they increase the attack cost enough to make piracy unattractive. In the field of collusion resistance, this cost analysis has never been performed yet; even a simple model will be valuable to understand which countermeasures are effective.
