French/English abstract: Les systèmes d’aide à la prise de décision jouent un rôle important dans la pratique juridique aux Pays-Bas. Divers organismes gouvernementaux utilisent de tels systèmes automatisés pour la prise de décisions juridiques (de masse). Les départements juridiques, les cabinets d’avocats, les éditeurs juridiques et d’autres organismes ont de plus en plus recours à ces outils pour appuyer et améliorer les services d’aide juridique aux particuliers et aux entreprises. Ces outils permettent d’améliorer l’efficacité des processus et des services juridiques, mais ils peuvent aussi avoir d’importants effets préjudiciables sur les droits des personnes ou sur la qualité juridique des services produits, en particulier lorsqu’il n’existe pas de processus de conception minutieux et transparent. Cet article donne un aperçu de l’utilisation de ces systèmes dans la pratique juridique néerlandaise, discute de leurs avantages, pièges et défis, puis il identifie certaines questions de recherche pour le futur.---Rule-based systems for decision support and decision-making play an important role in Dutch legal practice. Government agencies use rule-based systems for (mass) legal decision-making. Legal departments, law firms, legal publishers and various other organizations increasingly use rule-basedsystems to support and improve the provision of legal aid to private individuals and corporate clients. Rule-based systems can improve efficiency of legal processes and services, but can also have important detrimental effects on the rights of individuals or legal quality, especially when there is no careful and transparent design process. This article provides an overview of the use of these systems in Dutch legal practice, discusses benefits, pitfallsand challenges and identifies questions for future research.
Additions to the book "Systems Design and Engineering" by Bonnema et.al. Subjects were chosen based on the Systems Engineering needs for Small and Medium Enterprises, as researched in the SESAME project. The
MULTIFILE
Naast de vele publicaties in de media en het materiaal, dat de leveranciers van EIS-pakketten verspreiden, hebben vorig twee onafhankelijk van elkaar opererende werkgroepen onderzoeksrapportages uitgebracht over de praktijkervaringen met Executive Information Systems (EIS) in Nederland.
Digital transformation has been recognized for its potential to contribute to sustainability goals. It requires companies to develop their Data Analytic Capability (DAC), defined as their ability to collect, manage and analyze data effectively. Despite the governmental efforts to promote digitalization, there seems to be a knowledge gap on how to proceed, with 37% of Dutch SMEs reporting a lack of knowledge, and 33% reporting a lack of support in developing DAC. Participants in the interviews that we organized preparing this proposal indicated a need for guidance on how to develop DAC within their organization given their unique context (e.g. age and experience of the workforce, presence of legacy systems, high daily workload, lack of knowledge of digitalization). While a lot of attention has been given to the technological aspects of DAC, the people, process, and organizational culture aspects are as important, requiring a comprehensive approach and thus a bundling of knowledge from different expertise. Therefore, the objective of this KIEM proposal is to identify organizational enablers and inhibitors of DAC through a series of interviews and case studies, and use these to formulate a preliminary roadmap to DAC. From a structure perspective, the objective of the KIEM proposal will be to explore and solidify the partnership between Breda University of Applied Sciences (BUas), Avans University of Applied Sciences (Avans), Logistics Community Brabant (LCB), van Berkel Logistics BV, Smink Group BV, and iValueImprovement BV. This partnership will be used to develop the preliminary roadmap and pre-test it using action methodology. The action research protocol and preliminary roadmap thereby developed in this KIEM project will form the basis for a subsequent RAAK proposal.
A-das-PK; een APK-straat voor rijhulpsystemen Uit recent onderzoek en vragen vanuit de autobranche blijkt een duidelijke behoefte naar goed onderhoud, reparatie en borging van de werking van Advanced Driver Assistance Systems (ADAS), vergelijkbaar met de reguliere APK. Een APK voor ADAS bestaat nog niet, maar de branche wil hier wel op te anticiperen en haar clientèle veilig laten rijden met de rijhulpsystemen. In 2022 worden 30 ADAS’s verplicht en zal de werking van deze systemen ook gedurende de levensduur van de auto gegarandeerd moeten worden. Disfunctioneren van ADAS, zowel in false positives als false negatives kan leiden tot gevaarlijke situaties door onverwacht rijgedrag van het voertuig. Zo kan onverwacht remmen door detectie van een niet bestaand object of op basis van verkeersborden op parallelwegen een kettingbotsing veroorzaken. Om te kijken welke gevolgen een APK heeft voor de autobranche wil A-das-PK voor autobedrijven kijken naar de benodigde apparatuur, opleiding en hard- en software voor een goed werkende APK-straat voor ADAS’s, zodat de kansrijke elementen in een vervolgonderzoek uitgewerkt kunnen worden.
Horse riding falls under the “Sport for Life” disciplines, where a long-term equestrian development can provide a clear pathway of developmental stages to help individuals, inclusive of those with a disability, to pursue their goals in sport and physical activity, providing long-term health benefits. However, the biomechanical interaction between horse and (disabled) rider is not wholly understood, leaving challenges and opportunities for the horse riding sport. Therefore, the purpose of this KIEM project is to start an interdisciplinary collaboration between parties interested in integrating existing knowledge on horse and (disabled) rider interaction with any novel insights to be gained from analysing recently collected sensor data using the EquiMoves™ system. EquiMoves is based on the state-of-the-art inertial- and orientational-sensor system ProMove-mini from Inertia Technology B.V., a partner in this proposal. On the basis of analysing previously collected data, machine learning algorithms will be selected for implementation in existing or modified EquiMoves sensor hardware and software solutions. Target applications and follow-ups include: - Improving horse and (disabled) rider interaction for riders of all skill levels; - Objective evidence-based classification system for competitive grading of disabled riders in Para Dressage events; - Identifying biomechanical irregularities for detecting and/or preventing injuries of horses. Topic-wise, the project is connected to “Smart Technologies and Materials”, “High Tech Systems & Materials” and “Digital key technologies”. The core consortium of Saxion University of Applied Sciences, Rosmark Consultancy and Inertia Technology will receive feedback to project progress and outcomes from a panel of international experts (Utrecht University, Sport Horse Health Plan, University of Central Lancashire, Swedish University of Agricultural Sciences), combining a strong mix of expertise on horse and rider biomechanics, veterinary medicine, sensor hardware, data analysis and AI/machine learning algorithm development and implementation, all together presenting a solid collaborative base for derived RAAK-mkb, -publiek and/or -PRO follow-up projects.
