Ayalew Kassahun

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Quality assurance (QA) is defined as protocols and guidelines to support the proper application of models. In the water management context we classify QA guidelines according to how much focus is put on the dialogue between the modeller and the water manager as: (Type 1) Internal technical guidelines developed and used internally by the modeller’s(More)
Despite the perceived value of DSS in informing environmental and natural resource management, DSS tools often fail to be adopted by intended end users. By drawing together the experience of a global group of EDSS developers, we have identified and assessed key challenges in EDSS development and offer recommendations to resolve them. Challenges related to(More)
The challenges associated with evaluating the effectiveness of environmental decision support systems (EDSS) based on the perceptions of only a small sample of end-users are well understood. Although methods adopted from Management Information Systems (MISs) evaluation research have benefited from relatively large (100þ) sample sizes, permitting the use of(More)
Two major trends in eLearning are the shift from presentational towards activating learning objects and the shift from proprietary towards SCORM conformant delivery systems. In a large program on the design, development and use of digital learning material for food and biotechnology in higher education, a large amount of experience has been gained with(More)
The drive to improve the quality and reliability of model based water management has resulted in a number of quality assurance guidelines. Up to now all of these guidelines were available only in the form of handbooks. Within the HarmoniQuA project a software-based modelling Knowledge Base and support tools have been developed, that greatly enhance the way(More)
In the last decade a strong need for Quality Assurance has emerged among professionals in model based water management. The manifold of reasons for this can be summarised as follows. There is a lack of mutual understanding between modellers, model study clients, model auditors, stakeholders and concerned members of the public. Furthermore, malpractice(More)
This paper discusses a new system that enables meat supply chain stakeholders and regulators or authorities to track and trace and – at the same time – allows meat consumers to use their smartphone (or internet) to get immediate and direct access to all information on the specific meat item they see at the butcher or in the supermarket. This meat(More)
How can the future agricfood business be made more efficient, transparent and safe? This article on a new MIP meat transparency system describes a future system aiming for an efficient transparency in meat supply chains with ITstandards. The shape of the new system will be highlighted on the background of preliminary ICT solutions and the recent(More)